Ibm spectrum scale fundamentals workshop for americas part 2 IBM Spectrum Sca...
This document discusses quorum nodes in Spectrum Scale clusters and recovery from failures. It describes how quorum nodes determine the active cluster and prevent partitioning. The document outlines best practices for quorum nodes and provides steps to recover from loss of a quorum node majority or failure of the primary and secondary configuration servers.
Ibm spectrum scale fundamentals workshop for americas part 3 Information Life...
IBM Spectrum Scale can help achieve ILM efficiencies through policy-driven, automated tiered storage management. The ILM toolkit manages file sets and storage pools and automates data management. Storage pools group similar disks and classify storage within a file system. File placement and management policies determine file placement and movement based on rules.
IBM Spectrum Scale can be used as both the source and destination for backup and archiving. As a source, Spectrum Scale data can be backed up to products like Spectrum Protect, Spectrum Archive, and third-party backup software. As a destination, Spectrum Protect can use Spectrum Scale and ESS storage for storing backed up or archived data, providing scalability, performance, and cost benefits over other solutions. Case studies demonstrate how large enterprises and regional hospital networks have consolidated backup infrastructure and improved availability, capacity, and backup/restore speeds by combining Spectrum Scale and Spectrum Protect.
Ibm spectrum scale fundamentals workshop for americas part 1 components archi...
The document provides instructions for installing and configuring Spectrum Scale 4.1. Key steps include: installing Spectrum Scale software on nodes; creating a cluster using mmcrcluster and designating primary/secondary servers; verifying the cluster status with mmlscluster; creating Network Shared Disks (NSDs); and creating a file system. The document also covers licensing, system requirements, and IBM and client responsibilities for installation and maintenance.
This document discusses mixed workloads and why organizations consolidate servers and databases. It describes how instance caging can be used to partition CPU resources on a server among multiple database instances. Instance caging limits the number of Oracle processes that each database instance can use at one time, providing isolation. The document provides best practices for configuring instance caging and monitoring its throttling effects. It notes there may be additional aspects to consider for governing CPU usage within a consolidated database.
MySQL Enterprise Backup provides fast, consistent, online backups of MySQL databases. It allows for full and incremental backups, compressed backups to reduce storage needs, and point-in-time recovery. MySQL Enterprise Backup works by backing up InnoDB data files, copying and compressing the files, and backing up the transaction log files from the time period when the data files were copied. This allows for consistent backups and point-in-time recovery of the database.
This presentation was written by Wagner Bianchi for the presentation on the Oracle Consulting Team/Professional Services meeting that took place in San Francisco/CA.
In this Introduction to GlusterFS webinar, introduction and review of the GlusterFS architecture and key functionalities. Learn how GlusterFS is deployed in the datacenter, in the cloud, or between the two. We’ll also cover a brief update on GlusterFS v3.3 which is currently in beta.
Webinar Sept 22: Gluster Partners with Redapt to Deliver Scale-Out NAS Storage
Gluster has partnered with Redapt, Inc., an innovative data center architecture and infrastructure solutions provider, to integrate GlusterFS with hardware providing customers with highly-scalable NAS storage technology for on-premise, virtual and cloud environments. Gluster's storage technology enables Redapt to offer a comprehensive, cost-effective storage solution delivering the scalability, performance and reliability that companies need to effectively run their data centers.
This webinar will provide an overview of the partnership, benefits of the joint solution, and include use cases of how customers today are deploying the joint solution. .
This document discusses backup and recovery strategies for Oracle Exadata systems. It outlines the fundamental principles of backups including having multiple copies of data stored on different media with one copy offsite. It then describes the various backup options for Exadata, including using additional Exadata storage cells for the fastest backups, using a ZFS storage appliance for flexibility, or backing up to tape for economical long-term storage with removable offline copies. Key metrics like backup and restore speeds are provided for each option.
HDFS Futures: NameNode Federation for Improved Efficiency and Scalability
Scalability of the NameNode has been a key issue for HDFS clusters. Because the entire file system metadata is stored in memory on a single NameNode, and all metadata operations are processed on this single system, the NameNode both limits the growth in size of the cluster and makes the NameService a bottleneck for the MapReduce framework as demand increases. HDFS Federation horizontally scales the NameService using multiple federated NameNodes/namespaces. The federated NameNodes share the DataNodes in the cluster as a common storage layer. HDFS Federation also adds client-side namespaces to provide a unified view of the file system. In this talk, Hortonworks co-founder and key architect, Sanjay Raidia, will discuss the benefits, features and best practices for implementing HDFS Federation.
Spectrum Scale - Diversified analytic solution based on various storage servi...
This slides describe diversified analytic solutions based on Spectrum Scale with various deployment mode, such as storage rich-server, share storage, IBM DeepFlash 150 and Elastic Storage Server. It deep dives several advanced data management features and solutions for BD&A workload derived from Spectrum Scale.
This document provides information about a technical university presentation on IBM Spectrum Scale for file and object storage given by Tony Pearson. The presentation schedule lists topics such as software defined storage, converged and hyperconverged environments, big data architectures, and IBM storage integration with OpenStack. The document discusses challenges of islands of block, file, and object level data and how IBM Spectrum Scale provides a single global namespace and universal data access across various protocols. It describes features of IBM Spectrum Scale such as extreme scalability, high performance, reliability, and supported topologies.
MySQL Performance Tuning: The Perfect Scalability (OOW2019)
This document discusses optimizing MySQL performance as data and concurrency increase. It covers horizontal and vertical scaling techniques as well as improvements for I/O-bound, CPU-bound, and network-bound workloads. Specific tuning techniques are proposed for areas like replication, query tuning, indexing, and Linux configuration settings like CPU affinity. The goal is to scale the database with minimal infrastructure adjustments to control operational costs.
Best Practices of HA and Replication of PostgreSQL in Virtualized Environments
This document discusses best practices for high availability (HA) and replication of PostgreSQL databases in virtualized environments. It covers enterprise needs for HA, technologies like VMware HA and replication that can provide HA, and deployment blueprints for HA, read scaling, and disaster recovery within and across datacenters. The document also discusses PostgreSQL's different replication modes and how they can be used for HA, read scaling, and disaster recovery.
This document contains a summary of Krishna P's professional experience and qualifications for an administrator role. He has over 5 years of experience as a UNIX and Storage administrator working with technologies like NetApp, Solaris, Linux, and VERITAS. His experience includes tasks like storage provisioning, configuration and troubleshooting of NAS and SAN environments, high availability setups, backup and replication technologies, and more. He is looking for a career growth opportunity where he can take on system administration challenges and help achieve organizational goals.
The document summarizes several industry standard benchmarks for measuring database and application server performance including SPECjAppServer2004, EAStress2004, TPC-E, and TPC-H. It discusses PostgreSQL's performance on these benchmarks and key configuration parameters used. There is room for improvement in PostgreSQL's performance on TPC-E, while SPECjAppServer2004 and EAStress2004 show good performance. TPC-H performance requires further optimization of indexes and query plans.
This document discusses handling massive writes for online transaction processing (OLTP) systems. It begins with an introduction and overview of the topics to be covered, including terminology, differences between massive reads versus writes, and potential solutions using relational databases, NoSQL databases, and code optimizations. Specific solutions discussed for massive writes include using memory, fast disks, caching, column-oriented databases, SQL tuning, database partitioning, reading from slaves, and sharding or splitting data across multiple databases. The document provides pros and cons of each approach and examples of performance improvements observed.
The document discusses MySQL NDB 8.0 and high availability solutions for MySQL. It summarizes MySQL NDB Cluster, MySQL InnoDB Cluster, and MySQL Replication as high availability solutions. It also discusses features and performance of MySQL NDB Cluster 8.0, including linear scalability, predictable low-latency performance, and improved backup throughput.
2015: Whats New in MySQL 5.7, At Oracle Open World, November 3rd, 2015
MySQL 5.7 includes many new features and improvements such as faster performance, easier configuration and management, and enhanced security. It provides benefits like increased speed for queries, replication, and data compression as well as new capabilities for JSON data, spatial indexing, and instrumentation. Oracle presented benchmarks showing MySQL 5.7 is up to 6 times faster than previous versions.
Database as a Service on the Oracle Database Appliance Platform
Speaker: Marc Fielding, Co-speaker: Maris Elsins.
Oracle Database Appliance provides a robust, highly-available, cost-effective, and surprisingly scalable platform for database as a service environment. By leveraging Oracle Enterprise Manager's self-service features, databases can be provisioned on a self-service basis to a cluster of Oracle Database Appliance machines. Discover how multiple ODA devices can be managed together to provide both high availability and incremental, cost-effective scalability. Hear real-world lessons learned from successful database consolidation implementations.
This document provides an overview of MySQL Cluster and NoSQL. It discusses how to set up nodes in a multi-node MySQL Cluster, including connecting to the network and firewall configuration. It also outlines the tutorial agenda, which will first cover deploying a MySQL Cluster and then developing applications using ClusterJ, Memcache, and Node.js connectors. Presenter biographies and a high-level introduction to database concepts, MySQL Cluster architecture, and the basics of MySQL Cluster are also included.
The document discusses why collecting comprehensive data center asset information is important. Current infrastructure documentation has gaps and is often outdated. Accurate asset data is key for initiatives like service level management, disaster recovery planning, and technology planning during data center changes or mergers and acquisitions. Traditional manual asset inventories are expensive, time-consuming, and result in inaccurate and outdated data. The NetworkSage asset discovery service employs an agent-less discovery process to gather a snapshot of comprehensive asset data quickly and with low impact, and stores the data in a configuration management database for ongoing decision support.
James Hetherington discusses the University of Nottingham's experiences with MySQL over time. They initially offered local hosting services with standalone MySQL databases, but faced issues with ownership and quality control. They later moved key services like their VLE to MySQL, choosing it over Oracle for preference of open source. While performance was initially erratic, engagement with Oracle support helped refine configurations. They now use solutions like MySQL Cluster and MySQL Enterprise Monitor for robust, scalable services. Next steps include upgrading more services and exploring security and high availability solutions.
This document summarizes a presentation about using MySQL and the NDB storage engine to build a globally distributed in-memory database system on AWS. It proposes using MySQL/NDB clusters tiled across AWS availability zones to provide high availability and performance at a large scale. Key challenges discussed include managing data consistency across wide geographical distances and dealing with limitations of AWS like network performance and lack of global load balancing. Lessons learned are that NDB can successfully compete with NoSQL for most use cases by providing ACID compliance without sacrificing availability or performance.
Haytham ElFadeel presented on next-generation storage systems and key-value stores. He began with an overview of scalable systems and the need for both vertical and horizontal scalability. He discussed the limitations of traditional databases in scaling, including complexity, wasted features, and multi-step query processing. Key-value stores were presented as an alternative, offering simple interfaces and designs optimized for scaling across hundreds of machines. Performance comparisons showed key-value stores significantly outperforming databases. Systems discussed included Amazon Dynamo, Facebook Cassandra, and Redis.
This document provides a guide to MySQL performance tuning. It discusses identifying performance bottlenecks, measuring system resources like I/O, memory, and CPU, tuning MySQL settings like the key buffer size and InnoDB buffer pool size, and changing application queries and indexes to improve performance. Key steps include finding slow queries, enabling the slow query log, and profiling queries to identify optimization opportunities.
The document discusses new features in MySQL 5.7 including enhanced performance and scalability, next generation application support, and availability features. Key points include the MySQL 5.7 release candidate being available with 2x faster performance than 5.6, new JSON support, improved GIS capabilities using Boost.Geometry, multi-threaded replication for faster slaves, and new group replication for multi-master clusters.
Slides presented at Great Indian Developer Summit 2016 at the session MySQL: What's new on April 29 2016.
Contains information about the new MySQL Document Store released in April 2016.
Ibm spectrum scale fundamentals workshop for americas part 2 IBM Spectrum Sca...xKinAnx
This document discusses quorum nodes in Spectrum Scale clusters and recovery from failures. It describes how quorum nodes determine the active cluster and prevent partitioning. The document outlines best practices for quorum nodes and provides steps to recover from loss of a quorum node majority or failure of the primary and secondary configuration servers.
Ibm spectrum scale fundamentals workshop for americas part 3 Information Life...xKinAnx
IBM Spectrum Scale can help achieve ILM efficiencies through policy-driven, automated tiered storage management. The ILM toolkit manages file sets and storage pools and automates data management. Storage pools group similar disks and classify storage within a file system. File placement and management policies determine file placement and movement based on rules.
Ibm spectrum scale_backup_n_archive_v03_ashAshutosh Mate
IBM Spectrum Scale can be used as both the source and destination for backup and archiving. As a source, Spectrum Scale data can be backed up to products like Spectrum Protect, Spectrum Archive, and third-party backup software. As a destination, Spectrum Protect can use Spectrum Scale and ESS storage for storing backed up or archived data, providing scalability, performance, and cost benefits over other solutions. Case studies demonstrate how large enterprises and regional hospital networks have consolidated backup infrastructure and improved availability, capacity, and backup/restore speeds by combining Spectrum Scale and Spectrum Protect.
Ibm spectrum scale fundamentals workshop for americas part 1 components archi...xKinAnx
The document provides instructions for installing and configuring Spectrum Scale 4.1. Key steps include: installing Spectrum Scale software on nodes; creating a cluster using mmcrcluster and designating primary/secondary servers; verifying the cluster status with mmlscluster; creating Network Shared Disks (NSDs); and creating a file system. The document also covers licensing, system requirements, and IBM and client responsibilities for installation and maintenance.
This document discusses mixed workloads and why organizations consolidate servers and databases. It describes how instance caging can be used to partition CPU resources on a server among multiple database instances. Instance caging limits the number of Oracle processes that each database instance can use at one time, providing isolation. The document provides best practices for configuring instance caging and monitoring its throttling effects. It notes there may be additional aspects to consider for governing CPU usage within a consolidated database.
MySQL Enterprise Backup provides fast, consistent, online backups of MySQL databases. It allows for full and incremental backups, compressed backups to reduce storage needs, and point-in-time recovery. MySQL Enterprise Backup works by backing up InnoDB data files, copying and compressing the files, and backing up the transaction log files from the time period when the data files were copied. This allows for consistent backups and point-in-time recovery of the database.
This presentation was written by Wagner Bianchi for the presentation on the Oracle Consulting Team/Professional Services meeting that took place in San Francisco/CA.
In this Introduction to GlusterFS webinar, introduction and review of the GlusterFS architecture and key functionalities. Learn how GlusterFS is deployed in the datacenter, in the cloud, or between the two. We’ll also cover a brief update on GlusterFS v3.3 which is currently in beta.
Webinar Sept 22: Gluster Partners with Redapt to Deliver Scale-Out NAS StorageGlusterFS
Gluster has partnered with Redapt, Inc., an innovative data center architecture and infrastructure solutions provider, to integrate GlusterFS with hardware providing customers with highly-scalable NAS storage technology for on-premise, virtual and cloud environments. Gluster's storage technology enables Redapt to offer a comprehensive, cost-effective storage solution delivering the scalability, performance and reliability that companies need to effectively run their data centers.
This webinar will provide an overview of the partnership, benefits of the joint solution, and include use cases of how customers today are deploying the joint solution. .
This document discusses backup and recovery strategies for Oracle Exadata systems. It outlines the fundamental principles of backups including having multiple copies of data stored on different media with one copy offsite. It then describes the various backup options for Exadata, including using additional Exadata storage cells for the fastest backups, using a ZFS storage appliance for flexibility, or backing up to tape for economical long-term storage with removable offline copies. Key metrics like backup and restore speeds are provided for each option.
HDFS Futures: NameNode Federation for Improved Efficiency and ScalabilityHortonworks
Scalability of the NameNode has been a key issue for HDFS clusters. Because the entire file system metadata is stored in memory on a single NameNode, and all metadata operations are processed on this single system, the NameNode both limits the growth in size of the cluster and makes the NameService a bottleneck for the MapReduce framework as demand increases. HDFS Federation horizontally scales the NameService using multiple federated NameNodes/namespaces. The federated NameNodes share the DataNodes in the cluster as a common storage layer. HDFS Federation also adds client-side namespaces to provide a unified view of the file system. In this talk, Hortonworks co-founder and key architect, Sanjay Raidia, will discuss the benefits, features and best practices for implementing HDFS Federation.
Spectrum Scale - Diversified analytic solution based on various storage servi...Wei Gong
This slides describe diversified analytic solutions based on Spectrum Scale with various deployment mode, such as storage rich-server, share storage, IBM DeepFlash 150 and Elastic Storage Server. It deep dives several advanced data management features and solutions for BD&A workload derived from Spectrum Scale.
IBM Spectrum Scale for File and Object StorageTony Pearson
This document provides information about a technical university presentation on IBM Spectrum Scale for file and object storage given by Tony Pearson. The presentation schedule lists topics such as software defined storage, converged and hyperconverged environments, big data architectures, and IBM storage integration with OpenStack. The document discusses challenges of islands of block, file, and object level data and how IBM Spectrum Scale provides a single global namespace and universal data access across various protocols. It describes features of IBM Spectrum Scale such as extreme scalability, high performance, reliability, and supported topologies.
MySQL Performance Tuning: The Perfect Scalability (OOW2019)Mirko Ortensi
This document discusses optimizing MySQL performance as data and concurrency increase. It covers horizontal and vertical scaling techniques as well as improvements for I/O-bound, CPU-bound, and network-bound workloads. Specific tuning techniques are proposed for areas like replication, query tuning, indexing, and Linux configuration settings like CPU affinity. The goal is to scale the database with minimal infrastructure adjustments to control operational costs.
Best Practices of HA and Replication of PostgreSQL in Virtualized EnvironmentsJignesh Shah
This document discusses best practices for high availability (HA) and replication of PostgreSQL databases in virtualized environments. It covers enterprise needs for HA, technologies like VMware HA and replication that can provide HA, and deployment blueprints for HA, read scaling, and disaster recovery within and across datacenters. The document also discusses PostgreSQL's different replication modes and how they can be used for HA, read scaling, and disaster recovery.
This document contains a summary of Krishna P's professional experience and qualifications for an administrator role. He has over 5 years of experience as a UNIX and Storage administrator working with technologies like NetApp, Solaris, Linux, and VERITAS. His experience includes tasks like storage provisioning, configuration and troubleshooting of NAS and SAN environments, high availability setups, backup and replication technologies, and more. He is looking for a career growth opportunity where he can take on system administration challenges and help achieve organizational goals.
The document summarizes several industry standard benchmarks for measuring database and application server performance including SPECjAppServer2004, EAStress2004, TPC-E, and TPC-H. It discusses PostgreSQL's performance on these benchmarks and key configuration parameters used. There is room for improvement in PostgreSQL's performance on TPC-E, while SPECjAppServer2004 and EAStress2004 show good performance. TPC-H performance requires further optimization of indexes and query plans.
This document discusses handling massive writes for online transaction processing (OLTP) systems. It begins with an introduction and overview of the topics to be covered, including terminology, differences between massive reads versus writes, and potential solutions using relational databases, NoSQL databases, and code optimizations. Specific solutions discussed for massive writes include using memory, fast disks, caching, column-oriented databases, SQL tuning, database partitioning, reading from slaves, and sharding or splitting data across multiple databases. The document provides pros and cons of each approach and examples of performance improvements observed.
The document discusses MySQL NDB 8.0 and high availability solutions for MySQL. It summarizes MySQL NDB Cluster, MySQL InnoDB Cluster, and MySQL Replication as high availability solutions. It also discusses features and performance of MySQL NDB Cluster 8.0, including linear scalability, predictable low-latency performance, and improved backup throughput.
2015: Whats New in MySQL 5.7, At Oracle Open World, November 3rd, 2015 Geir Høydalsvik
MySQL 5.7 includes many new features and improvements such as faster performance, easier configuration and management, and enhanced security. It provides benefits like increased speed for queries, replication, and data compression as well as new capabilities for JSON data, spatial indexing, and instrumentation. Oracle presented benchmarks showing MySQL 5.7 is up to 6 times faster than previous versions.
Database as a Service on the Oracle Database Appliance PlatformMaris Elsins
Speaker: Marc Fielding, Co-speaker: Maris Elsins.
Oracle Database Appliance provides a robust, highly-available, cost-effective, and surprisingly scalable platform for database as a service environment. By leveraging Oracle Enterprise Manager's self-service features, databases can be provisioned on a self-service basis to a cluster of Oracle Database Appliance machines. Discover how multiple ODA devices can be managed together to provide both high availability and incremental, cost-effective scalability. Hear real-world lessons learned from successful database consolidation implementations.
This document provides an overview of MySQL Cluster and NoSQL. It discusses how to set up nodes in a multi-node MySQL Cluster, including connecting to the network and firewall configuration. It also outlines the tutorial agenda, which will first cover deploying a MySQL Cluster and then developing applications using ClusterJ, Memcache, and Node.js connectors. Presenter biographies and a high-level introduction to database concepts, MySQL Cluster architecture, and the basics of MySQL Cluster are also included.
The document discusses why collecting comprehensive data center asset information is important. Current infrastructure documentation has gaps and is often outdated. Accurate asset data is key for initiatives like service level management, disaster recovery planning, and technology planning during data center changes or mergers and acquisitions. Traditional manual asset inventories are expensive, time-consuming, and result in inaccurate and outdated data. The NetworkSage asset discovery service employs an agent-less discovery process to gather a snapshot of comprehensive asset data quickly and with low impact, and stores the data in a configuration management database for ongoing decision support.
James Hetherington discusses the University of Nottingham's experiences with MySQL over time. They initially offered local hosting services with standalone MySQL databases, but faced issues with ownership and quality control. They later moved key services like their VLE to MySQL, choosing it over Oracle for preference of open source. While performance was initially erratic, engagement with Oracle support helped refine configurations. They now use solutions like MySQL Cluster and MySQL Enterprise Monitor for robust, scalable services. Next steps include upgrading more services and exploring security and high availability solutions.
This document summarizes a presentation about using MySQL and the NDB storage engine to build a globally distributed in-memory database system on AWS. It proposes using MySQL/NDB clusters tiled across AWS availability zones to provide high availability and performance at a large scale. Key challenges discussed include managing data consistency across wide geographical distances and dealing with limitations of AWS like network performance and lack of global load balancing. Lessons learned are that NDB can successfully compete with NoSQL for most use cases by providing ACID compliance without sacrificing availability or performance.
Haytham ElFadeel presented on next-generation storage systems and key-value stores. He began with an overview of scalable systems and the need for both vertical and horizontal scalability. He discussed the limitations of traditional databases in scaling, including complexity, wasted features, and multi-step query processing. Key-value stores were presented as an alternative, offering simple interfaces and designs optimized for scaling across hundreds of machines. Performance comparisons showed key-value stores significantly outperforming databases. Systems discussed included Amazon Dynamo, Facebook Cassandra, and Redis.
A Survey of Advanced Non-relational Database Systems: Approaches and Applicat...Qian Lin
This document summarizes a survey of advanced non-relational database systems, their approaches, applications, and comparison to relational database management systems (RDBMS). It outlines the problem of scaling to meet new web-scale demands, describes how non-relational databases provide a solution by sacrificing consistency for availability and partition tolerance. Examples of non-relational databases are provided, including their data models, APIs, optimizations, and benefits compared to RDBMS such as improved scalability and fault tolerance.
MySQL At University Of Nottingham - 2018 MySQL DaysMark Swarbrick
James Hetherington discusses the University of Nottingham's experiences with MySQL over time. They initially ran standalone MySQL databases across various systems before consolidating to centralized "database hosting" services using MySQL 5.0 in 2007. In 2012, they moved a key application to Moodle on MySQL. This worked well initially but had performance issues. Working with Oracle support improved the situation. They now use MySQL Enterprise editions with features like replication, monitoring, and clustering to power critical applications and services at scale. Moving forward, they aim to upgrade more systems to newer MySQL versions and explore additional MySQL and Oracle technologies and cloud platforms.
This document provides an overview of SQL Server clustering for beginners. It introduces SQL Server clustering, including what it is, why it is used, who supports it, and whether it is suitable. It also outlines an agenda covering introduction to clustering, demonstrations, installation, administration, problems, and disaster planning. The presenter's qualifications and contact details are provided.
MyHeritage BackEnd group was built to scale to support 77 million users, 27 million family trees containing over 1.6 billion individuals, and over 6 billion historical documents.
With big data comes big challenges and this presentation explains the structure, the methodology and the technologies that support scaling up.
The presentation covers:
• How cross R&D continuous deployment and R&D structure supports scalability
• Sharding techniques
• Cassandra usage at MyHeritage
• Our search engine scaling structure
Novell Storage Manager: Your Secret Weapon for Simplified File and User Manag...Novell
See how the popular Novell Storage Manager can help you manage file storage and user administration like never before. Leveraging user identities and roles, you can customize policies based on your business rules, thereby automating redundant tasks and reducing the heavy manual effort typically required for file management. Attend this session to hear from the experts on architecture, deployment patterns and how to get the most bang for your buck!
The Novell File Management Suite is a solution that helps organizations intelligently manage file storage using identity-driven policies. It utilizes Novell Storage Manager to automate storage policies connected to user identity, Novell File Reporter for file discovery and reporting, and Novell Dynamic File Services for auto-tiering of data without impacting users. The suite helps control storage costs, understand data better, automate administration, and unlock hidden value in file systems.
The new Novell File Management Suite is drawing accolades from customers, analysts and industry watchers alike. This session will help you dive in and see exactly what the product can do for your organization. We'll focus on the product's capabilities and its many use cases. We'll also explore the way it can help you better understand your organization's storage usage and give you the tools to begin automating the management of storage resources.
This document discusses scalability concepts and practices. It provides examples of how LiveJournal scaled their infrastructure from 1 server to 45 servers by adding more hardware resources like CPUs and databases, and software solutions like caching and load balancing. The key lessons are that using multiple scalability solutions intelligently is best, hardware will likely need to be added, and system knowledge is important to understand bottlenecks. The goal of scaling is to allow for easy growth.
Embracing Database Diversity: The New Oracle / MySQL DBA - UKOUGKeith Hollman
Classic Oracle DBAs are somewhat starved for the "big overview" knowledge that will make them better decision makers and less hesitant to use MySQL.
The aim is to allow an existing Oracle DBA to get to grips with a MySQL environment, concentrating on the real focus points, and highlighting the similarities of both RDBMS'.
And both worlds provide the necessary tools to avoid a sleepless night.
Lessons Learned: Novell Open Enterprise Server Upgrades Made EasyNovell
You've read the documentation, played in the lab, and now you're ready to jump in and upgrade your NetWare environment to Novell Open Enterprise Server 2 on Linux. Attend this session to glean a final few best practices and to learn how to make the most of the migration tools included in the product. You'll also learn about the various pitfalls encountered during real-world upgrades, as well as the solutions used to resolve them.
Similar to Severalnines Self-Training: MySQL® Cluster - Part V (20)
LIVE DEMO: CCX for CSPs, a drop-in DBaaS solutionSeveralnines
This webinar aims to equip Cloud Service Providers (CSPs) with the knowledge and tools to differentiate themselves from hyperscalers by offering a Database-as-a-Service (DBaaS) solution. The session will introduce and demonstrate CCX, a drop-in, premium DBaaS designed for rapid adoption.
Learn more about CCX for CSPs here: https://bit.ly/3VabiDr
DIY DBaaS: A guide to building your own full-featured DBaaSSeveralnines
More so than ever, businesses need to ensure that their databases are resilient, secure, and always available to support their operations. Database-as-a-Service (DBaaS) solutions have become a popular way for organizations to manage their databases efficiently, leveraging cloud infrastructure and advanced set-and-forget automation.
However, consuming DBaaS from providers comes with many compromises. In this guide, we’ll show you how you can build your own flexible DBaaS, your way. We’ll demonstrate how it is possible to get the full spectrum of DBaaS capabilities along with workload access and portability, and avoid surrendering control to a third-party.
From architectural and design considerations to operational requirements, we’ll take you through the process step-by-step, providing all the necessary information and guidance to help you build a DBaaS solution that is tailor-made to your unique use case. So get ready to dive in and learn how to build your own custom DBaaS solution from scratch!
We created this guide to help developers understand:
- Traditional vs. Sovereign DBaaS implementation models
- The DBaaS environment, elements and design principles
- Using a Day 2 operations framework to develop your blueprint
- The 8 key operations that form the foundation of a complete DBaaS
- Bringing the Day 2 ops framework to life with a provisional architecture
- How you can abstract the orchestration layer with Severalnines solutions
Cloud's future runs through Sovereign DBaaSSeveralnines
Sovereign DBaaS is a new way to do DBaaS that allows you to reliably scale your open-source database ops without being limited to a specific environment or ceding control of your infrastructure to third-party service providers.
With Sovereign DBaaS, users can leverage the benefits of modern deployment strategies, e.g. public cloud, hybrid, etc., with additional security, compliance, and risk mitigation. So what exactly is Sovereign DBaaS and why should you choose one?
Presented by Sanjeev Mohan, Principal Analyst at SanjMo and former Gartner Research VP, and Vinay Joosery, CEO of Severalnines, this webinar dives into the future of the cloud and database management and introduces a new solution, Sovereign DBaaS.
The state of the cloud and its current challenges
What is Sovereign DBaaS?
Agenda:
- Key features of Sovereign DBaaS
- Why you should choose a Sovereign DBaaS
- How you can implement Sovereign DBaaS with Severalnines
- Q&A
Tips to drive maria db cluster performance for nextcloudSeveralnines
200
● SSD
2000
● NVMe
4000
Tune for your hardware. Higher is better but avoid over-committing IOPS.
innodb_flush_log_at_trx_commit 1 Flush logs at each transaction commit for ACID compliance.
innodb_log_buffer_size 16M-64M Default is 8M. Increase for more transactions per second.
innodb_log_file_size 1G Default is 48M. Increase for more transactions per second.
innodb_flush_method O_DIRECT Bypass OS cache for better durability.
innodb_thread_concurrency 0 Allow InnoDB to manage thread concurrency level.
Working with the Moodle Database: The BasicsSeveralnines
Managing the database behind Moodle is key to improving performance and achieving uptime for your users. In this training video we will talk about the Moodle database including topics like configuration, monitoring, and schema management as well as show you how ClusterControl can help with the management of your eLearning LMS systems.
SysAdmin Working from Home? Tips to Automate MySQL, MariaDB, Postgres & MongoDBSeveralnines
Are you an SysAdmin who is now responsible for your companies database operations? Then this is the webinar for you. Learn from a Senior DBA the basics you need to know to keep things up-and-running and how automation can help.
(slides) Polyglot persistence: utilizing open source databases as a Swiss poc...Severalnines
This document discusses polyglot persistence, which is using multiple specialized databases rather than a single general-purpose database. It provides examples of VidaXL's use of polyglot persistence, including MySQL, MariaDB, PostgreSQL, SOLR, Elasticsearch, MongoDB, Couchbase, and Prometheus. The benefits discussed are using the right database for each job and gaining flexibility as the company transitioned to microservices. Challenges included increased complexity, and solutions involved automation, tooling, and hiring database experts.
Webinar slides: How to Migrate from Oracle DB to MariaDBSeveralnines
This document provides an overview and agenda for a webinar on migrating from Oracle DB to MariaDB. The webinar will cover why organizations are moving to open source databases, the benefits of migrating to MariaDB from Oracle, how to plan and execute the migration process, and post-migration management topics like monitoring, backups, high availability, and scaling in MariaDB. The presentation will include discussions of data type mapping, enabling PL/SQL syntax in MariaDB, available migration tools, and testing approaches.
Webinar slides: How to Automate & Manage PostgreSQL with ClusterControlSeveralnines
Running PostgreSQL in production comes with the responsibility for a business critical environment; this includes high availability, disaster recovery, and performance. Ops staff worry whether databases are up and running, if backups are taken and tested for integrity, whether there are performance problems that might affect end user experience, if failover will work properly in case of server failure without breaking applications, and the list goes on.
ClusterControl can be used to operationalize your PostgreSQL footprint across your enterprise. It offers a standard way of deploying high-availability replication setups with auto-failover, integrated with load balancers offering a single endpoint to applications. It provides constant health and performance monitoring through rich dashboards, as well as backup management and point-in-time recovery
See how much time and effort can be saved, as well as risks mitigated, with the help of a unified management platform over the more traditional, manual methods.
We’ve seen a 152% increase in ClusterControl installations by PostgreSQL users last year, so make sure you don’t miss out on the trend!
AGENDA
- Managing PostgreSQL “the old way”:
- Common challenges
- Important tasks to perform
- Tools that are available to help
- PostgreSQL automation and management with ClusterControl:
- Deployment
- Backup and recovery
- HA setups
- Failover
- Monitoring
- Live Demo
SPEAKER
Sebastian Insausti, Support Engineer at Severalnines, has loved technology since his childhood, when he did his first computer course (Windows 3.11). And from that moment he was decided on what his profession would be. He has since built up experience with MySQL, PostgreSQL, HAProxy, WAF (ModSecurity), Linux (RedHat, CentOS, OL, Ubuntu server), Monitoring (Nagios), Networking and Virtualization (VMWare, Proxmox, Hyper-V, RHEV).
Prior to joining Severalnines, Sebastian worked as a consultant to state companies in security, database replication and high availability scenarios. He’s also a speaker and has given a few talks locally on InnoDB Cluster and MySQL Enterprise together with an Oracle team. Previous to that, he worked for a Mexican company as chief of sysadmin department as well as for a local ISP (Internet Service Provider), where he managed customers' servers and connectivity.
Webinar slides: How to Manage Replication Failover Processes for MySQL, Maria...Severalnines
Failover is the process of moving to a healthy standby component, during a failure or maintenance event, in order to preserve uptime. The quicker it can be done, the faster you can be back online. However, failover can be tricky for transactional database systems as we strive to preserve data integrity - especially in asynchronous or semi-synchronous topologies. There are risks associated, from diverging datasets to loss of data. Failing over due to incorrect reasoning, e.g., failed heartbeats in the case of network partitioning, can also cause significant harm.
This webinar replay gives a detailed overview of what failover processes may look like in MySQL, MariaDB and PostgreSQL replication setups. We’ve covered the dangers related to the failover process, and discuss the tradeoffs between failover speed and data integrity. We’ve found out about how to shield applications from database failures with the help of proxies. And we've finally had a look at how ClusterControl manages the failover process, and how it can be configured for both assisted and automated failover.
So if you’re looking at minimizing downtime and meet your SLAs through an automated or semi-automated approach, then this webinar replay is for you!
AGENDA
- An introduction to failover - what, when, how
- in MySQL / MariaDB
- in PostgreSQL
- To automate or not to automate
- Understanding the failover process
- Orchestrating failover across the whole HA stack
- Difficult problems
- Network partitioning
- Missed heartbeats
- Split brain
- From assisted to fully automated failover with ClusterControl
- Demo
SPEAKER
Krzysztof Książek, Senior Support Engineer at Severalnines, is a MySQL DBA with experience managing complex database environments for companies like Zendesk, Chegg, Pinterest and Flipboard.
What if …
- Traditional, labour-intensive backup and archive practices for your MySQL, MariaDB, MongoDB and PostgreSQL databases were a thing of the past?
- You could have one backup management solution for all your business data?
- You could ensure integrity of all your backups?
- You could leverage the competitive pricing and almost limitless capacity of cloud-based backup while meeting cost, manageability, and compliance requirements from the business.
Welcome to our webinar on Backup Management with ClusterControl.
ClusterControl’s centralized backup management for open source databases provides you with hot backups of large datasets, point in time recovery in a couple of clicks, at-rest and in-transit data encryption, data integrity via automatic restore verification, cloud backups (AWS, Google and Azure) for Disaster Recovery, retention policies to ensure compliance, and automated alerts and reporting.
Whether you are looking at rebuilding your existing backup infrastructure, or updating it, this webinar is for you!
AGENDA
- Backup and recovery management of local or remote databases
- Logical or physical backups
- Full or Incremental backups
- Position or time-based Point in Time Recovery (for MySQL and PostgreSQL)
- Upload to the cloud (Amazon S3, Google Cloud Storage, Azure Storage)
- Encryption of backup data
- Compression of backup data
- One centralized backup system for your open source databases (Demo)
- Schedule, manage and operate backups
- Define backup policies, retention, history
- Validation - Automatic restore verification
- Backup reporting
SPEAKER
Bartlomiej Oles, Senior Support Engineer at Severalnines, is a MySQL and Oracle DBA, with over 15 years experience in managing highly available production systems at IBM, Nordea Bank, Acxiom, Lufthansa, and other Fortune 500 companies. In the past five years, his focus has been on building and applying automation tools to manage multi-datacenter database environments.
Disaster Recovery Planning for MySQL & MariaDBSeveralnines
Bart Oles - Severalnines AB
Organizations need an appropriate disaster recovery plan to mitigate the impact of downtime. But how much should a business invest? Designing a highly available system comes at a cost, and not all businesses and indeed not all applications need five 9's availability.
We will explain fundamental disaster recovery concepts and walk you through the relevant options from the MySQL & MariaDB ecosystem to meet different tiers of disaster recovery requirements, and demonstrate how to automate an appropriate disaster recovery plan.
Krzysztof Ksiazek - Severalnines AB
So, you are a developer or sysadmin and showed some abilities in dealing with databases issues. And now, you have been elected to the role of DBA. And as you start managing the databases, you wonder…
* How do I tune them to make best use of the hardware?
* How do I optimize the Operating System?
* How do I best configure MySQL or MariaDB for a specific database workload?
If you're asking yourself the following questions when it comes to optimally running your MySQL or MariaDB databases, then this talk is for you!
We will discuss some of the settings that are most often tweaked and which can bring you significant improvement in the performance of your MySQL or MariaDB database. We will also cover some of the variables which are frequently modified even though they should not.
Performance tuning is not easy, especially if you're not an experienced DBA, but you can go a surprisingly long way with a few basic guidelines.
Performance Tuning Cheat Sheet for MongoDBSeveralnines
Bart Oles - Severalnines AB
Database performance affects organizational performance, and we tend to look for quick fixes when under stress. But how can we better understand our database workload and factors that may cause harm to it? What are the limitations in MongoDB that could potentially impact cluster performance?
In this talk, we will show you how to identify the factors that limit database performance. We will start with the free MongoDB Cloud monitoring tools. Then we will move on to log files and queries. To be able to achieve optimal use of hardware resources, we will take a look into kernel optimization and other crucial OS settings. Finally, we will look into how to examine performance of MongoDB replication.
Advanced MySql Data-at-Rest Encryption in Percona ServerSeveralnines
Iwo Panowicz - Percona & Bart Oles - Severalnines AB
The purpose of the talk is to present data-at-rest encryption implementation in Percona Server for MySQL.
Differences between Oracle's MySQL and MariaDB implementation.
- How it is implemented?
- What is encrypted:
- Tablespaces?
- General tablespace?
- Double write buffer/parallel double write buffer?
- Temporary tablespaces? (KEY BLOCKS)
- Binlogs?
- Slow/general/error logs?
- MyISAM? MyRocks? X?
- Performance overhead.
- Backups?
- Transportable tablespaces. Transfer key.
- Plugins
- Keyrings in general
- Key rotation?
- General-Purpose Keyring Key-Management Functions
- Keyring_file
- Is useful? How to make it profitable?
- Keyring Vault
- How does it work?
- How to make a transition from keyring_file
Polyglot Persistence Utilizing Open Source Databases as a Swiss Pocket KnifeSeveralnines
Art Van Scheppingen - vidaXL & Bart Oles - Severalnines AB
Over the past few years, VidaXL has become a European market leader in the online retail of slow moving consumer goods. When a company achieved over 50% year over year growth for the past 9 years, there is hardly enough time to overhaul existing systems. This means existing systems will be stretched to the maximum of their capabilities, and often additional performance will be gained by utilizing a large variety of datastores.
Polyglot persistence reigns in rapidly growing environments and the traditional one-size-fits-all strategy of monoglots is over.
VidaXL has a broad landscape of datastores, ranging from traditional SQL data stores, like MySQL or PostgreSQL alongside more recent load balancing technologies such as ProxySQL, to document stores like MongoDB and search engines such as SOLR and Elasticsearch.
Webinar slides: Free Monitoring (on Steroids) for MySQL, MariaDB, PostgreSQL ...Severalnines
Traditional server monitoring tools are not built for modern distributed database architectures. Let’s face it, most production databases today run in some kind of high availability setup - from simpler master-slave replication to multi-master clusters fronted by redundant load balancers. Operations teams deal with dozens, often hundreds of services that make up the database environment.
This is why we built ClusterControl - to address modern, highly distributed database setups based on replication or clustering. We wanted something that could provide a systems view of all the components of a distributed cluster, including load balancers.
Watch this replay of a webinar on free database monitoring using ClusterControl Community Edition. We show you how to monitor all your MySQL, MariaDB, PostgreSQL and MongoDB systems from a single point of control - whether they are deployed as Galera Clusters, sharded clusters or replication setups across on-prem and cloud data centers. We also see how to use Advisors in order to improve performance.
AGENDA
- Requirements for monitoring distributed database systems
- Cloud-based vs On-prem monitoring solutions
- Agent-based vs Agentless monitoring
- Deepdive into ClusterControl Community Edition
- Architecture
- Metrics Collection
- Trending
- Dashboards
- Queries
- Performance Advisors
- Other features available to Community users
SPEAKER
Bartlomiej Oles is a MySQL and Oracle DBA, with over 15 years experience in managing highly available production systems at IBM, Nordea Bank, Acxiom, Lufthansa, and other Fortune 500 companies. In the past five years, his focus has been on building and applying automation tools to manage multi-datacenter database environments.
Webinar slides: An Introduction to Performance Monitoring for PostgreSQLSeveralnines
To operate PostgreSQL efficiently, you need to have insight into database performance and make sure it is at optimal levels.
With that in mind, we dive into monitoring PostgreSQL for performance in this webinar replay.
PostgreSQL offers many metrics through various status overviews and commands, but which ones really matter to you? How do you trend and alert on them? What is the meaning behind the metrics? And what are some of the most common causes for performance problems in production?
We discuss this and more in ordinary, plain DBA language. We also have a look at some of the tools available for PostgreSQL monitoring and trending; and we’ll show you how to leverage ClusterControl’s PostgreSQL metrics, dashboards, custom alerting and other features to track and optimize the performance of your system.
AGENDA
- PostgreSQL architecture overview
- Performance problems in production
- Common causes
- Key PostgreSQL metrics and their meaning
- Tuning for performance
- Performance monitoring tools
- Impact of monitoring on performance
- How to use ClusterControl to identify performance issues
- Demo
SPEAKER
Sebastian Insausti, Support Engineer at Severalnines, has loved technology since his childhood, when he did his first computer course (Windows 3.11). And from that moment he was decided on what his profession would be. He has since built up experience with MySQL, PostgreSQL, HAProxy, WAF (ModSecurity), Linux (RedHat, CentOS, OL, Ubuntu server), Monitoring (Nagios), Networking and Virtualization (VMWare, Proxmox, Hyper-V, RHEV).
Prior to joining Severalnines, Sebastian worked as a consultant to state companies in security, database replication and high availability scenarios. He’s also a speaker and has given a few talks locally on InnoDB Cluster and MySQL Enterprise together with an Oracle team. Previous to that, he worked for a Mexican company as chief of sysadmin department as well as for a local ISP (Internet Service Provider), where he managed customers' servers and connectivity.
This webinar builds upon a related blog post by Sebastian: https://severalnines.com/blog/performance-cheat-sheet-postgresql.
Coordinate Systems in FME 101 - Webinar SlidesSafe Software
If you’ve ever had to analyze a map or GPS data, chances are you’ve encountered and even worked with coordinate systems. As historical data continually updates through GPS, understanding coordinate systems is increasingly crucial. However, not everyone knows why they exist or how to effectively use them for data-driven insights.
During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to maintain and transform your data’s coordinate systems in an easy-to-digest way, accurately representing the geographical space that it exists within. During this webinar, you will have the chance to:
- Enhance Your Understanding: Gain a clear overview of what coordinate systems are and their value
- Learn Practical Applications: Why we need datams and projections, plus units between coordinate systems
- Maximize with FME: Understand how FME handles coordinate systems, including a brief summary of the 3 main reprojectors
- Custom Coordinate Systems: Learn how to work with FME and coordinate systems beyond what is natively supported
- Look Ahead: Gain insights into where FME is headed with coordinate systems in the future
Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!
Transcript: Details of description part II: Describing images in practice - T...BookNet Canada
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
Kief Morris rethinks the infrastructure code delivery lifecycle, advocating for a shift towards composable infrastructure systems. We should shift to designing around deployable components rather than code modules, use more useful levels of abstraction, and drive design and deployment from applications rather than bottom-up, monolithic architecture and delivery.
The DealBook is our annual overview of the Ukrainian tech investment industry. This edition comprehensively covers the full year 2023 and the first deals of 2024.
An invited talk given by Mark Billinghurst on Research Directions for Cross Reality Interfaces. This was given on July 2nd 2024 as part of the 2024 Summer School on Cross Reality in Hagenberg, Austria (July 1st - 7th)
Comparison Table of DiskWarrior Alternatives.pdfAndrey Yasko
To help you choose the best DiskWarrior alternative, we've compiled a comparison table summarizing the features, pros, cons, and pricing of six alternatives.
Mitigating the Impact of State Management in Cloud Stream Processing SystemsScyllaDB
Stream processing is a crucial component of modern data infrastructure, but constructing an efficient and scalable stream processing system can be challenging. Decoupling compute and storage architecture has emerged as an effective solution to these challenges, but it can introduce high latency issues, especially when dealing with complex continuous queries that necessitate managing extra-large internal states.
In this talk, we focus on addressing the high latency issues associated with S3 storage in stream processing systems that employ a decoupled compute and storage architecture. We delve into the root causes of latency in this context and explore various techniques to minimize the impact of S3 latency on stream processing performance. Our proposed approach is to implement a tiered storage mechanism that leverages a blend of high-performance and low-cost storage tiers to reduce data movement between the compute and storage layers while maintaining efficient processing.
Throughout the talk, we will present experimental results that demonstrate the effectiveness of our approach in mitigating the impact of S3 latency on stream processing. By the end of the talk, attendees will have gained insights into how to optimize their stream processing systems for reduced latency and improved cost-efficiency.
YOUR RELIABLE WEB DESIGN & DEVELOPMENT TEAM — FOR LASTING SUCCESS
WPRiders is a web development company specialized in WordPress and WooCommerce websites and plugins for customers around the world. The company is headquartered in Bucharest, Romania, but our team members are located all over the world. Our customers are primarily from the US and Western Europe, but we have clients from Australia, Canada and other areas as well.
Some facts about WPRiders and why we are one of the best firms around:
More than 700 five-star reviews! You can check them here.
1500 WordPress projects delivered.
We respond 80% faster than other firms! Data provided by Freshdesk.
We’ve been in business since 2015.
We are located in 7 countries and have 22 team members.
With so many projects delivered, our team knows what works and what doesn’t when it comes to WordPress and WooCommerce.
Our team members are:
- highly experienced developers (employees & contractors with 5 -10+ years of experience),
- great designers with an eye for UX/UI with 10+ years of experience
- project managers with development background who speak both tech and non-tech
- QA specialists
- Conversion Rate Optimisation - CRO experts
They are all working together to provide you with the best possible service. We are passionate about WordPress, and we love creating custom solutions that help our clients achieve their goals.
At WPRiders, we are committed to building long-term relationships with our clients. We believe in accountability, in doing the right thing, as well as in transparency and open communication. You can read more about WPRiders on the About us page.
Understanding Insider Security Threats: Types, Examples, Effects, and Mitigat...Bert Blevins
Today’s digitally connected world presents a wide range of security challenges for enterprises. Insider security threats are particularly noteworthy because they have the potential to cause significant harm. Unlike external threats, insider risks originate from within the company, making them more subtle and challenging to identify. This blog aims to provide a comprehensive understanding of insider security threats, including their types, examples, effects, and mitigation techniques.
Blockchain technology is transforming industries and reshaping the way we conduct business, manage data, and secure transactions. Whether you're new to blockchain or looking to deepen your knowledge, our guidebook, "Blockchain for Dummies", is your ultimate resource.
Implementations of Fused Deposition Modeling in real worldEmerging Tech
The presentation showcases the diverse real-world applications of Fused Deposition Modeling (FDM) across multiple industries:
1. **Manufacturing**: FDM is utilized in manufacturing for rapid prototyping, creating custom tools and fixtures, and producing functional end-use parts. Companies leverage its cost-effectiveness and flexibility to streamline production processes.
2. **Medical**: In the medical field, FDM is used to create patient-specific anatomical models, surgical guides, and prosthetics. Its ability to produce precise and biocompatible parts supports advancements in personalized healthcare solutions.
3. **Education**: FDM plays a crucial role in education by enabling students to learn about design and engineering through hands-on 3D printing projects. It promotes innovation and practical skill development in STEM disciplines.
4. **Science**: Researchers use FDM to prototype equipment for scientific experiments, build custom laboratory tools, and create models for visualization and testing purposes. It facilitates rapid iteration and customization in scientific endeavors.
5. **Automotive**: Automotive manufacturers employ FDM for prototyping vehicle components, tooling for assembly lines, and customized parts. It speeds up the design validation process and enhances efficiency in automotive engineering.
6. **Consumer Electronics**: FDM is utilized in consumer electronics for designing and prototyping product enclosures, casings, and internal components. It enables rapid iteration and customization to meet evolving consumer demands.
7. **Robotics**: Robotics engineers leverage FDM to prototype robot parts, create lightweight and durable components, and customize robot designs for specific applications. It supports innovation and optimization in robotic systems.
8. **Aerospace**: In aerospace, FDM is used to manufacture lightweight parts, complex geometries, and prototypes of aircraft components. It contributes to cost reduction, faster production cycles, and weight savings in aerospace engineering.
9. **Architecture**: Architects utilize FDM for creating detailed architectural models, prototypes of building components, and intricate designs. It aids in visualizing concepts, testing structural integrity, and communicating design ideas effectively.
Each industry example demonstrates how FDM enhances innovation, accelerates product development, and addresses specific challenges through advanced manufacturing capabilities.
TrustArc Webinar - 2024 Data Privacy Trends: A Mid-Year Check-InTrustArc
Six months into 2024, and it is clear the privacy ecosystem takes no days off!! Regulators continue to implement and enforce new regulations, businesses strive to meet requirements, and technology advances like AI have privacy professionals scratching their heads about managing risk.
What can we learn about the first six months of data privacy trends and events in 2024? How should this inform your privacy program management for the rest of the year?
Join TrustArc, Goodwin, and Snyk privacy experts as they discuss the changes we’ve seen in the first half of 2024 and gain insight into the concrete, actionable steps you can take to up-level your privacy program in the second half of the year.
This webinar will review:
- Key changes to privacy regulations in 2024
- Key themes in privacy and data governance in 2024
- How to maximize your privacy program in the second half of 2024
What's New in Copilot for Microsoft365 May 2024.pptx
Severalnines Self-Training: MySQL® Cluster - Part V
1. MySQL Cluster Training
presented by severalnines.com
Address:
Contact: SeveralninesAB
Jean-Jérôme Schmidt c/o SICS, Box 1263
Email: services@severalnines.com Isafjordsgatan22
SE-164-29 Kista
Copyright 2011 Severalnines AB Control your database infrastructure 1
2. Introduction
• At Severalnines, we believe in sharing information
and knowledge; we all come from an open source
background
• We know a lot of things about MySQL Cluster and
think that MySQL Cluster is a great technology
• These free MySQL Cluster Training slides are a
contribution of ours to the knowledge and information
sharing that’s common practice in the open source
community
• If you have any questions on these slides or would
like to book an actual training class, please contact
us at: services@severalnines.com
Copyright 2011 Severalnines AB Control your database infrastructure 2
3. Training Slides - Concept
• Over the coming weeks we will be chronologically
releasing slides for the different sections of our
MySQL Cluster Training program on our website.
• The full agenda of the training with all of its modules
is outlined in the next slides so that you can see what
topics will be covered over the coming weeks.
• Particularly specialised topics such as Cluster/J or
NDB API are not fully covered in the slides. We
recommend our instructor-led training classes for
such topics.
• Please contact us for more details:
services@severalnines.com
Copyright 2011 Severalnines AB Control your database infrastructure 3
4. Full Training Agenda (1/4)
• MySQL Cluster Introduction
– MySQL eco system
– Scale up, scale out, and sharding
– MySQL Cluster Architecture
– Use cases
– Features
– Node types and Roles
• Detailed Concepts
– Data Distribution
– Verifying data distribution
– Access Methods
– Partitioning
– Node failures and failure detection
– Network Partitioning
– Transactions and Locking
– Consistency Model
– Redo logging and Checkpointing
• Internals
– NDB Design Internals
Copyright 2011 Severalnines AB Control your database infrastructure 4
5. Agenda (2/4)
• Installing MySQL Cluster
– Setting up MySQL Cluster
– Starting/stopping nodes
– Recovery and restarts
– Upgrading configuration
– Upgrading Cluster
• Performance Tuning (instructor-led only; contact us at services@severalnines.com)
– Differences compared to Innodb/MyISAM
– Designing efficient and fast applications
– Identifying bottlenecks
– Tweaking configuration (OS and MySQL Cluster)
– Query Tuning
– Schema Design
– Index Tuning
Copyright 2011 Severalnines AB Control your database infrastructure 5
6. Agenda (3/4)
• Management and Administration
– Backup and Restore
– Geographical Replication
– Online and offline operations
– Ndbinfo tables
– Reporting
– Single user mode
– Scaling Cluster
• Disk Data
– Use cases
– Limitations
– Best practice configuration
• Designing a Cluster
– Capacity Planning and Dimensioning
– Hardware recommendations
– Best practice Configuration
– Storage calculations
Copyright 2011 Severalnines AB Control your database infrastructure 6
7. Agenda (4/4)
• Resolving Issues
– Common problems
– Error logs and Tracefiles
– Recovery and Escalation procedures
• Connectivity Overview
– NDBAPI
– Cluster/J
– LDAP
• Severalnines Tools
– Monitoring and Management
– Benchmarking
– Sandboxes
– Configuration and capacity planning
• Conclusion
Copyright 2011 Severalnines AB Control your database infrastructure 7
8. Agenda: Lab Exercises
(only applicable to instructor-led training classes)
• Lab Exercises
– Installing and Loading data into MySQL Cluster
– Starting/stopping nodes, recovery
– Query tuning
– Backup and Restore
– Configuration Upgrade
• Would you like to try something particular?
– This is possible too, speak with your instructor
Copyright 2011 Severalnines AB Control your database infrastructure 8
9. Prerequisites
• Readers / Participants have understanding of SQL and basic database concepts.
• Laptops/PCs for hands-on exercises
• Linux: 1GB RAM
• Windows: 2GB RAM
• Approx. 20GB disk space and Virtualbox installed.
• Virtualbox can be downloaded for free at http://www.virtualbox.org/wiki/Downloads
• MySQL Cluster version 7.1 or later
Copyright 2011 Severalnines AB Control your database infrastructure 9
10. 5th Installment
Severalnines Cluster Self-Training
Part 3: Internals
Copyright 2011 Severalnines AB Control your database infrastructure 10
11. Topics covered in Installment 5
• NDB Design Internals
Copyright 2011 Severalnines AB Control your database infrastructure 11
13. Software Model
• Software model is inherited from Ericsson AXE
swtiches.
• The kernel is composed of several software
blocks
• A block owns a functionality
– Transaction handling, index handling etc.
• Blocks communicates with each other using
signals
– Signals can also be sent to blocks in other nodes
(distributed)
• No data sharing between blocks!
Copyright 2011 Severalnines AB Control your database infrastructure 13
14. Blocks
• Blocks are software modules with pre-allocated
data structures (dynamic memory allocation will
be added later)
• No pointers
• Logical indexes into data structures with run-time
checks of index out of bounds
• Each block is a separate C++ class with one
generic parent (SimulatedBlock)
• Specific entry methods for all incoming signals
• A Virtual Machine schedules the execution of
signals inside a block.
Copyright 2011 Severalnines AB Control your database infrastructure 14
15. Blocks Overview
• DBACC
– Access control, lock manager
• DBDICT
– Meta data management, table and index defintions
• DBDIH
– Data distribution management, data fragmentation and replicas, Local
Checkpoints (LCP) and Global Checkpoints (GCP), system restart
• DBLQH
– Local query handler, local transaction management, local data
operations
• DBTC
– Transcation coordinator, distributed transaction management, global
data operations
• DBTUP
– Tuple manager, manages physical storage of data (read, insert,
update, delete, and monitoring changes of tuples)
Copyright 2011 Severalnines AB Control your database infrastructure 15
16. Blocks Overview
• BACKUP
– On-line backup
– LCP
• CMVMI
– Configuration management, interacting with
management server, interaction between blocks and
virtual machine
• DBTUX
– Local management of ordered indexes
• DBUTIL
– Internal interface to transactions and data operations
• NDBCNTR
– Ndb Cluster manager, adaption to logical cluster
(QMGR), initialization and configuration of blocks
Copyright 2011 Severalnines AB Control your database infrastructure 16
17. Blocks Overview
• NDBCNTR
– Ndb Cluster manager, adaption to logical cluster (QMGR),
initialization and configuration of blocks
• NDBFS
– Abstraction layer on-top of local file system
• QMGR
– Cluster manager, handles logical cluster, cluster membership
• RESTORE
– Supports restoring on-line backup
• SUMA
– Subscription manager, data and meta-data event monitoring
• TRIX
– On-line unique index build
Copyright 2011 Severalnines AB Control your database infrastructure 17
18. Virtual Machine
• The Virtual Machine
– Job schedulation mechanism (job== process signal)
– Jobs represented by signal buffer (Job Buffer)
– Hides OS details from blocks
– Single threaded implementation with job switching as
concurrency model
• very inexpensive context switching
• requires that blocks cooperate and relinquish control
within a resonable time slot -> more effort for
programmer.
Copyright 2011 Severalnines AB Control your database infrastructure 18
19. Virtual Machine and Signals
• Signal types
– Local signal
• signal to another local block, to be executed when
associated job is scheduled by the Virtual Machine
Equivilent to function call. No scheduling
– Remote (distributed) signal
• signal to a block on another node, to be executed when
remote associated job is scheduled by the remote Virtual
Machine
– Delayed signal
• to be executed after a certain time, e.g. 10ms.
• Signals can be fragmented and be up to 12 GB (non
fragmented signals up to 100B)
Copyright 2011 Severalnines AB Control your database infrastructure 19
20. Sample Signal
void Backup::execBACKUP_REQ(Signal* signal)
{
jamEntry();
BackupReq * req = (BackupReq*)signal->getDataPtr();
const Uint32 senderData = req->senderData;
const BlockReferencesenderRef = signal->senderBlockRef();
const Uint32 dataLen32 = req->backupDataLen; // In 32 bit words
const Uint32 flags = signal->getLength() > 2 ? req->flags : 2;
if( dataLen32==0) {jam(); abort()}
if(getOwnNodeId() != getMasterNodeId()) {
jam();
sendBackupRef(senderRef, flags, signal, senderData, BackupRef::IAmNotMaster);
return;
}//if
Copyright 2011 Severalnines AB Control your database infrastructure 20
21. Signal Types
• There are a number of different signal types. Here
are som common.
– REQ request signals
– CONF confirmation signals (ack)
– REF refusal signals
– REP report signals
– ORD order signals (no reply)
Copyright 2011 Severalnines AB Control your database infrastructure 21
22. Virtual Machine and Signals
• select() on all communication interfaces (called transporters
in NDB)
• Receive Signals from all communication interfaces
• Check Timed Signals
• Execute Signals
• Send Signals in buffers beloning to communication
interfaces (transporters).
Copyright 2011 Severalnines AB Control your database infrastructure 22
23. Scheduler
• ThreadConfig.cpp
• FastScheduler.cpp
• Two levels of scheduling
– Scheduling between performing jobs and send/receive
on transporters (ThreadConfig.cpp)
– Scheduling between jobs of different priorites
(FastScheduler.cpp)
Copyright 2011 Severalnines AB Control your database infrastructure 23
24. Scheduler
• Signals have priorities:
– Priority A Signals executed first
– Priority B Signals executed then
– Priority C Signals executed then (not really used)
– Priority D, used to buffer Delayed Signals that are then
put into B job buffer
Copyright 2011 Severalnines AB Control your database infrastructure 24
25. Transporters
• Transporters facilitates the communication
between nodes.
– Point to point – each node has one transporter to any
other node.
– Hides the underlying communication media
– Different transporters can have different characteristics
(latency, bandwidth, etc.).
– Currently TCP/IP sockets, Shared Memory, and SCI
Copyright 2011 Severalnines AB Control your database infrastructure 25
26. Threads in NDB
• Data node consists of a number of threads
– Main thread handling the execution (Execution Thread)
• Transactions and operations are executed in a single
thread
• Please note that the Execution Thread is really a set of
threads in MySQL Cluster 7.x (when using the multi-
thredaded daemon, see next few slides).
– Watchdog thread
• Makes sure the main thread is not stuck somewhere
– Filesystem threads
• Handles async i/o such as writing Local and Global
checkpoints
Copyright 2011 Severalnines AB Control your database infrastructure 26
27. Real-time Extensions
• The Threads can be bound to CPU cores
– reduce context switching
• Bind Maintenance threads to one Core
– Filesystem threads, watchdog threads
– LockMaintThreadsToCPU=<cpuid>
• Bind Execution (main thread) to another core
– LockExecutionThreadToCPU=<cpuid>
• Use cat /proc/interrupts to find out which CPU to
avoid
– On some Oss CPU 0 is used for interrupt handling of
eth0
Copyright 2011 Severalnines AB Control your database infrastructure 27
28. Real-time Extensions
• SchedulerSpinTimer=200 (us)
– Perform select(t=0) (non-blocking) for 200us
– Only in MySQL Cluster 6.3 (or non-multithreaded data
node)
• SchedulerExecutionTimer=50 (us)
– Receive and execute more signals before sending
– Only in MySQL Cluster 6.3 (or non-multithreaded data
node)
• RealtimeScheduler=1
Copyright 2011 Severalnines AB Control your database infrastructure 28
29. Protocols
• MySQL Cluster is a small and fast democracy with
a president (master)
• Protocols in MySQL Cluster is based on
Consensus
– President initiates a request and sends to all Participants
• (REQ signal)
– President expects to get a CONF back from the
Participants
– If a participant sends a REF, then it will most likely be
exclued
Copyright 2011 Severalnines AB Control your database infrastructure 29
30. Protocols
• Central protocols
– Two phase commit protocol (2PC)
– Global checkpoint protocol (GCP)
– Local checkpoint protocol (LCP)
– Heartbeat protocol (HB)
Copyright 2011 Severalnines AB Control your database infrastructure 30
31. Multi-threaded Data Node
• From MySQL Cluster 7.0 the data node is multi-
threaded
– MaxNoOfExecutionThreads
• Set to 8 (max) for 8 core machines.
– The data node will then have
• 1 TC thread
• 4 LQH threads (workers)
• 1 CMVMI thread (communication)
Copyright 2011 Severalnines AB Control your database infrastructure 31
32. Multi-threaded Data Node
TC
TC thread
LQH LQH LQH LQH
Worker ACC TUP ACC TUP ACC TUP ACC TUP
threads
P0 P0 P1 P1 P1 P2 P3 P3
Index Data Index Data Index Data Index Data
Memory Memory Memory Memory Memory Memory Memory Memory
P0 P1 P2 P3
REDO LOG
D8 D9 D10 D11
Copyright 2011 Severalnines AB Control your database infrastructure 32
33. Multi-threaded Data node
• Each worker has one or more partition
– Depends on the number of workers:
• 1 worker -> 4 partitions / worker
• 2 workers -> 2 partitions / worker
• 4 workers -> 1 partition / worker
• Each partition maps to one Redo log segment
• Communication between threads is efficient
– Uses the instruction set available in modern CPUs to have
“lock free” communication
• Each thread has its own scheduler
• Typically it is either the TC thread or the CMVMI
thread that gets overloaded, unless you use a lot of
scans/range scans then it is the Workers that
become the bottleneck first.
Copyright 2011 Severalnines AB Control your database infrastructure 33
34. Coming next in Section 6:
Part 4: Installing MySQL Cluster
Copyright 2011 Severalnines AB Control your database infrastructure 34
35. We hope these training slides are
useful to you!
Please visit our website to view the
next section of this training.
For any questions, comments, feedback or to
book a training class, please contact us at:
services@severalnines.com
Thank you!
Copyright 2011 Severalnines AB Control your database infrastructure 35
Dear Jury, Just as the electric grid revolutionized access to electricity 100 years ago, we at Severalnines believe that Cloud Computing will revolutionize IT where organizations will be able to plug into extremely powerful computing resources over the network. We have already seen the beginnings of this new wave, where the current infrastructure stack is being challenged and disrupted by a whole set of new technologies. For instance, in the database market, over 40 startups have received funding over the past 18 months. Severalnines is not building yet another database product, we believe there are already a lot of good technologies available. To manage a database costs 4 times the purchase price, and yet, very few companies are addressing this problem. Severalnines focuses on solutions to address this underserved segment. The founders of the company have a solid background in databases, having been at MySQL since 2003. The company develops a management platform which is database and cloud agnostic.We are database independent since we do not know who, if anybody, will be the next MySQL of the cloud.We are cloud independent, since we do not want to depend on any cloud vendor (e.g. Amazon or Rackspace) to avoid vendor lock-in. After the Amazon EC2 downtime during the Easter break, hundreds of affected companies have realized the importance of this. There is also a commercial aspect for avoiding vendor lock-in. Severalnines enhances productivity of organizations by attacking the biggest cost associated with database systems. We are a Swedish startup, hosted by SICS in Kista. There is also a small but very efficient development capacity in Singapore. Just as MySQL became a major brand and placed Sweden on the global software infrastructure map, we believe Severalnines can become a serious global player in the emerging Cloud space. We are very thankful that an organization like Eurocloud exists, and would like to thank the jury for considering our application. Kind regards,Vinay Joosery Severalnines AB
Severalnines has been offering its products free of charge since 2007, while the founders were employed at MySQL. These products are the de-facto standard tools to assist MySQL customers and users in deploying their MySQL clusters. More information about Severalnines at www.severalnines.com
Severalnines has been offering its products free of charge since 2007, while the founders were employed at MySQL. These products are the de-facto standard tools to assist MySQL customers and users in deploying their MySQL clusters. More information about Severalnines at www.severalnines.com
Severalnines has been offering its products free of charge since 2007, while the founders were employed at MySQL. These products are the de-facto standard tools to assist MySQL customers and users in deploying their MySQL clusters. More information about Severalnines at www.severalnines.com
Severalnines has been offering its products free of charge since 2007, while the founders were employed at MySQL. These products are the de-facto standard tools to assist MySQL customers and users in deploying their MySQL clusters. More information about Severalnines at www.severalnines.com