This document discusses best practices for migrating database workloads to Azure Infrastructure as a Service (IaaS). Some key points include:
- Choosing the appropriate VM series like E or M series optimized for database workloads.
- Using availability zones and geo-redundant storage for high availability and disaster recovery.
- Sizing storage correctly based on the database's input/output needs and using premium SSDs where needed.
- Migrating existing monitoring and management tools to the cloud to provide familiarity and automating tasks like backups, patching, and problem resolution.
This document discusses using virtualization and containers to improve database deployments in development environments. It notes that traditional database deployments are slow, taking 85% of project time for creation and refreshes. Virtualization allows for more frequent releases by speeding up refresh times. The document discusses how virtualization engines can track database changes and provision new virtual databases in seconds from a source database. This allows developers and testers to self-service provision databases without involving DBAs. It also discusses how virtualization and containers can optimize database deployments in cloud environments by reducing storage usage and data transfers.
Keep your environment always on with sql server 2016 sql bits 2017Bob Ward
This document provides a summary of SQL Server Always On Availability Groups features including enhancements to performance and manageability, read-only secondary replicas, load balancing, and DTC support. It also discusses diagnostic tools like Extended Events and DMVs for monitoring Availability Groups and automatic seeding between replicas.
Running Oracle EBS in the cloud (OAUG Collaborate 18 edition)Andrejs Prokopjevs
This presentation is based on a real-life experience migrating Oracle E-Business Suite R12.1 production to Amazon AWS, and additional proof-of-concept effort done getting various client systems upgraded to R12.2 and migrated to main cloud vendor platforms on the market. We are going to cover here various areas, like:
- Certification basics. Overview look into supported configurations.
- How to architect. Basic recommendations based on migration and 2+ year production runtime experience. We will mainly cover Amazon AWS use case.
- Advanced configurations outline.
- R12.2 and features / nuances coming with it.
- Microsoft Azure and Oracle Cloud review. Quick comparison outline of main alternative platforms.
- Cloud deployment automation and the most common scenario - auto-scaling.
This is a very client demanding topic and many are looking into cloud migration options and how they can optimize the cost comparing to the on-premise hardware hosting. And many are still misunderstanding the complexity of Oracle EBS stack being capable for cloud deployment.
Cloudera Impala - Las Vegas Big Data Meetup Nov 5th 2014cdmaxime
Maxime Dumas gives a presentation on Cloudera Impala, which provides fast SQL query capability for Apache Hadoop. Impala allows for interactive queries on Hadoop data in seconds rather than minutes by using a native MPP query engine instead of MapReduce. It offers benefits like SQL support, improved performance of 3-4x up to 90x faster than MapReduce, and flexibility to query existing Hadoop data without needing to migrate or duplicate it. The latest release of Impala 2.0 includes new features like window functions, subqueries, and spilling joins and aggregations to disk when memory is exhausted.
SUSE, Hadoop and Big Data Update. Stephen Mogg, SUSE UKhuguk
This session will give you an update on what SUSE is up to in the Big Data arena. We will take a brief look at SUSE Linux Enterprise Server and why it makes the perfect foundation for your Hadoop Deployment.
Upgrade Without the Headache: Best Practices for Upgrading Hadoop in ProductionCloudera, Inc.
This document discusses best practices for upgrading Hadoop clusters with Cloudera Manager. It describes how the Cloudera Manager upgrade wizard provides a simplified, guided process for upgrading Hadoop distributions with minimal downtime. The upgrade wizard automates many of the manual steps previously required for upgrades and allows rolling upgrades for non-major upgrades when certain conditions are met. Following best practices like testing upgrades in non-production environments and having backup policies in place can help avoid issues during upgrades.
Bare-metal performance for Big Data workloads on Docker containersBlueData, Inc.
In a benchmark study, Intel® compared the performance of Big Data workloads running on a bare-metal deployment versus running in Docker* containers with the BlueData® EPIC™ software platform.
This in-depth study shows that performance ratios for container-based Hadoop workloads on BlueData EPIC are equal to — and in some cases, better than — bare-metal Hadoop. For example, benchmark tests showed that the BlueData EPIC platform demonstrated an average 2.33% performance gain over bare metal, for a configuration with 50 Hadoop compute nodes and 10 terabytes (TB) of data. These performance results were achieved without any modifications to the Hadoop software.
This is a revolutionary milestone, and the result of an ongoing collaboration between Intel and BlueData software engineering teams.
This white paper describes the software and hardware configurations for the benchmark tests, as well as details of the performance benchmark process and results.
Azure Boot Camp 21.04.2018 SQL Server in Azure Iaas PaaS on-prem Lars PlatzdaschLars Platzdasch
This document provides an overview and comparison of SQL Server hosting options in Azure, including Azure SQL Database (PaaS) and SQL Server in Azure VMs (IaaS). It discusses the key differences between the two options, highlighting that Azure SQL Database is fully managed while SQL Server in VMs gives more control. It also covers topics like manageability, performance metrics, pricing tiers, security best practices, and demos of the Azure portal. The document aims to help audiences choose between the "red pill" of Azure SQL Database or the "blue pill" of SQL Server in Azure VMs.
This one-hour presentation covers the tools and techniques for migrating SQL Server databases and data to Azure SQL DB or SQL Server on VM. Includes SSMA, DMA, DMS, and more.
Living with the Oracle Database ApplianceSimon Haslam
A presentation about real world experiences of running Oracle Database Appliances (ODA VP) in production for nearly 2 years. Given by Simon Haslam and Peter Moore, Principal DBA at Simplyhealth (a long time Veriton customer), at the UKOUG Systems Event in London on 20 May 2015.
Voldemort & Hadoop @ Linkedin, Hadoop User Group Jan 2010Bhupesh Bansal
Jan 22nd, 2010 Hadoop meetup presentation on project voldemort and how it plays well with Hadoop at linkedin. The talk focus on Linkedin Hadoop ecosystem. How linkedin manage complex workflows, data ETL , data storage and online serving of 100GB to TB of data.
Oracle offers several database cloud services including Oracle Database Cloud Service, Oracle Exadata Cloud Service, Oracle Database Backup Service, and Oracle Database Schema Service. These services provide automated infrastructure, database administration, and tools for application development, testing database applications, testing database upgrades, disaster recovery, and a hybrid cloud environment with the same database software both on-premises and in the cloud.
The document discusses Oracle's Maximum Availability Architecture (MAA) reference architectures for high availability (HA) and data protection on-premises and in hybrid cloud environments. It describes the Bronze, Silver, Gold, and Platinum reference architectures that align Oracle capabilities with different levels of customer service level requirements. It also discusses using Oracle Database Backup Cloud Service for offsite backups and Data Guard/Active Data Guard for disaster recovery to the Oracle Cloud.
An AWS DMS Replication Journey from Oracle to Aurora MySQLMaris Elsins
Moving to the cloud is still a hot topic these days, and one of the challenges of these migrations is dealing with the databases, that too need to be "cloudified". Sometimes it means changing the flavor of the RDBMS, and sometimes it also means tight downtime windows for the move itself. AWS Data Migration Service (DMS) is one of the obvious options to consider when AWS is involved, but it can be used in other situations too.This presentation is based on a real world project where an oracle database was migrated to AWS Aurora MySQL with the help of AWS DMS. Additionally, a reverse replication from MySQL to Oracle was set up to provide real time data back to a legacy application still connected to the Oracle database. I'll cover the different stages of the project - designing the MySQL database with the help of AWS Schema Conversion Tool, setting up the DMS tasks, monitoring the replication and validating the result. I'll also reveal some issues I faced and solutions we chose.
Knowledge share about scalable application architectureAHM Pervej Kabir
This document discusses scalable web application architectures. It begins by defining scalability and explaining the objectives of scalable systems, including handling traffic and data growth while maintaining system maintainability. There are two main types of architectures discussed: network-based architectures and application-based architectures. Network-based architectures focus on load balancing and distributing traffic across servers, while application-based architectures separate an application into tiers or layers, with the most common being three-tier architectures using a model-view-controller (MVC) pattern. The document provides an overview of common scalability patterns including caching, databases, and file storage solutions.
This document discusses patching and upgrading databases with virtualization. Traditionally, patching and upgrading databases requires taking databases offline in each environment, testing the patch, and then applying it to other environments. With virtualization, a virtual copy of the database can be quickly provisioned to test patches without impacting existing environments. After testing, the patch only needs to be applied once to the production environment since other environments are virtual copies automatically refreshed. This approach saves significant time spent patching each environment individually and reduces storage usage by up to 80% by eliminating redundant copies of data.
Delivering Pluggable Database as a ServicePete Sharman
This document discusses Oracle Enterprise Manager 12c and its capabilities for providing database as a service (DBaaS). It describes DBaaS architectures like virtual machines, dedicated databases, and pluggable databases. It also discusses concepts like zones, pools, and service templates that allow flexible provisioning of database and middleware infrastructure in private and public clouds. Several use cases are provided to illustrate how DBaaS can be implemented using these concepts to meet the needs of different organizations and applications.
This document provides guidance and best practices for using Infrastructure as a Service (IaaS) on Microsoft Azure for database workloads. It discusses key differences between IaaS, Platform as a Service (PaaS), and Software as a Service (SaaS). The document also covers Azure-specific concepts like virtual machine series, availability zones, storage accounts, and redundancy options to help architects design cloud infrastructures that meet business requirements. Specialized configurations like constrained VMs and ultra disks are also presented along with strategies for ensuring high performance and availability of database workloads on Azure IaaS.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
The document provides information about database administration including:
1. It discusses different database management system (DBMS) architectures like enterprise, departmental, personal, mobile, and cloud.
2. It describes factors to consider when choosing a DBMS like operating system support, organization type, benchmarks, scalability, tools availability, technicians availability, and cost of ownership.
3. It outlines the Oracle database installation process including hardware and software requirements, available installation options, and tools for database administration.
The document provides information about database administration including:
1. It discusses different database management system (DBMS) architectures like enterprise, departmental, personal, mobile, and cloud.
2. It describes factors to consider when choosing a DBMS like operating system support, organization type, benchmarks, scalability, tools availability, technicians availability, and cost of ownership.
3. It outlines the Oracle database installation process including hardware and software requirements, available installation options, and tools for database administration.
Maaz Anjum - IOUG Collaborate 2013 - An Insight into Space Realization on ODA...Maaz Anjum
The document provides an overview of Maaz Anjum, a solutions architect specializing in Oracle products like OEM12c, Golden Gate, and Engineered Systems. It lists his email, blog, and experience using Oracle products since 2001. It also provides details about Bias Corporation, the company he works for, including its founding date, certifications, expertise, customers, and implementations.
SAP HANA System Replication (HSR) versus SAP Replication Server (SRS)Gary Jackson MBCS
This document provides information about SAP HANA System Replication (HSR) and compares it to SAP Replication Server (SRS). HSR replicates transaction log entries from a primary HANA database to secondary databases. It supports synchronous and asynchronous replication and can be used for high availability and disaster recovery. The document outlines the initial setup process and ongoing administration of HSR configurations.
Clash of Technologies Google Cloud vs Microsoft AzureMihail Mateev
This document compares Google Cloud and Microsoft Azure on various features. It discusses their pricing models, infrastructure as a service and platform as a service capabilities. Some key findings are that Azure has better coverage in Asia while Google Cloud has better coverage in the US. AWS leads the cloud market currently. The document also analyzes storage performance, virtual machine pricing and types, database offerings, microservices support, load balancing options and example use cases for each provider.
The document discusses various considerations for deploying applications and solutions using Microsoft Azure Virtual Machines (VMs). It covers VM sizing configurations including CPU, memory, storage, and I/O capabilities for different VM series. It also discusses deployment strategies like availability sets and resource groups. Other topics include networking, security, costs, limits, and best practices.
This presentation is for those of you who are interested in moving your on-prem SQL Server databases and servers to Azure virtual machines (VM’s) in the cloud so you can take advantage of all the benefits of being in the cloud. This is commonly referred to as a “lift and shift” as part of an Infrastructure-as-a-service (IaaS) solution. I will discuss the various Azure VM sizes and options, migration strategies, storage options, high availability (HA) and disaster recovery (DR) solutions, and best practices.
Amazon RDS is a fully managed relational database service that enables you to launch an optimally configured, secure, and highly available database with just a few clicks. It manages time-consuming database administration tasks, freeing you to focus on your applications and business. In this session, we review the capabilities of the service and the latest available features.
Azure SQL Database is a relational database-as-a-service hosted in the Azure cloud that reduces costs by eliminating the need to manage virtual machines, operating systems, or database software. It provides automatic backups, high availability through geo-replication, and the ability to scale performance by changing service tiers. Azure Cosmos DB is a globally distributed, multi-model database that supports automatic indexing, multiple data models via different APIs, and configurable consistency levels with strong performance guarantees. Azure Redis Cache uses the open-source Redis data structure store with managed caching instances in Azure for improved application performance.
Amazon RDS is a fully managed relational database service that enables you to launch an optimally configured, secure, and highly available database with just a few clicks. In this session, we review the service’s capabilities and its latest features. We also show you how Amazon RDS manages time-consuming database administration tasks, freeing you to focus on your applications and business.
TechDay - Toronto 2016 - Hyperconvergence and OpenNebulaOpenNebula Project
Hyperconvergence integrates compute, storage, networking and virtualization resources from scratch in a commodity hardware box supported by a single vendor. It offers scalability, performance, centralized management, reliability and is software-focused. StorPool is a storage software that can be installed on servers to pool and aggregate the capacity and performance of drives. It provides standard block devices and replicates data across drives and servers for redundancy. StorPool integrates fully with Opennebula to provide a robust hyperconverged infrastructure on commodity hardware using distributed storage.
Should I move my database to the cloud?James Serra
So you have been running on-prem SQL Server for a while now. Maybe you have taken the step to move it from bare metal to a VM, and have seen some nice benefits. Ready to see a TON more benefits? If you said “YES!”, then this is the session for you as I will go over the many benefits gained by moving your on-prem SQL Server to an Azure VM (IaaS). Then I will really blow your mind by showing you even more benefits by moving to Azure SQL Database (PaaS/DBaaS). And for those of you with a large data warehouse, I also got you covered with Azure SQL Data Warehouse. Along the way I will talk about the many hybrid approaches so you can take a gradual approve to moving to the cloud. If you are interested in cost savings, additional features, ease of use, quick scaling, improved reliability and ending the days of upgrading hardware, this is the session for you!
The document provides information about Azure disk storage options including:
- Azure now offers a Cold Tier storage option for infrequently accessed data with long-term retention needs.
- An upcoming Azure Storage Mover public preview will support migrating files and folders to Azure Storage from SMB and Azure Files sources.
- The Azure Hour schedule includes upcoming sessions on Azure Data Disks, EPIC on Azure, and Oracle on Azure.
- Standard, Premium, Ultra disks are optimized for different workloads based on performance needs including IOPS, throughput, and latency. Choosing the right disk type depends on workload requirements.
PostgreSQL High Availability in a Containerized WorldJignesh Shah
This document discusses high availability for PostgreSQL in a containerized environment. It outlines typical enterprise requirements for high availability including recovery time objectives and recovery point objectives. Shared storage-based high availability is described as well as the advantages and disadvantages of PostgreSQL replication. The use of Linux containers and orchestration tools like Kubernetes and Consul for managing containerized PostgreSQL clusters is also covered. The document advocates for using PostgreSQL replication along with services and self-healing tools to provide highly available and scalable PostgreSQL deployments in modern container environments.
Azure VM 101 - HomeGen by CloudGen Verona - Marco ObinuMarco Obinu
Slides presented during HomeGen by CloudGen Verona, about how to properly size an Azure IaaS VM, with an additional focus on high availability and cost-saving topics.
Session recording: https://youtu.be/C8v6c6EkJ9A
Demo: https://github.com/OmegaMadLab/SqlIaasVmPlayground
Azure provides several data related services for storing, processing, and analyzing data in the cloud at scale. Key services include Azure SQL Database for relational data, Azure DocumentDB for NoSQL data, Azure Data Warehouse for analytics, Azure Data Lake Store for big data storage, and Azure Storage for binary data. These services provide scalability, high availability, and manageability. Azure SQL Database provides fully managed SQL databases with options for single databases, elastic pools, and geo-replication. Azure Data Warehouse enables petabyte-scale analytics with massively parallel processing.
Sql Start! 2020 - SQL Server Lift & Shift su AzureMarco Obinu
Slide of the session delivered during SQL Start! 2020, where I illustrate different approaches to determine the best landing zone for you SQL Server workloads.
Video (ITA): https://youtu.be/1hqT_xHs0Qs
This are my keynote slides from SQL Saturday Oregon 2023 on AI and the Intersection of AI, Machine Learning and Economnic Challenges as a Technical Specialist
This document discusses migrating high IO SQL Server workloads to Azure. It begins by explaining that every company has at least one "whale" workload that requires high CPU, memory and IO. These whales can be challenging to move to the cloud. The document then provides tips on determining if a workload's issue is truly high IO or caused by another factor. It discusses various wait events that may indicate IO problems and tools for monitoring IO performance. Finally, it covers some considerations for IO in the cloud.
This document provides an overview of options for running Oracle solutions on Microsoft Azure infrastructure as a service (IaaS). It discusses architectural considerations for high availability, disaster recovery, storage, licensing, and migrating workloads from Oracle Exadata. Key points covered include using Oracle Data Guard for replication and failover, storage options like Azure NetApp Files that can support Exadata workloads, and identifying databases that are not dependent on Exadata features for lift and shift to Azure IaaS. The document aims to help customers understand how to optimize their use of Oracle solutions when deploying to Azure.
This document discusses strategies for managing ADHD as an adult. It begins by describing the three main types of ADHD - inattentive, hyperactive-impulsive, and combined. It then lists some of the biggest challenges of ADHD like executive dysfunction, disorganization, lack of attention, procrastination, and internal preoccupation. The document provides tips and strategies for overcoming each challenge through organization, scheduling, list-making, breaking large tasks into small ones, and using technology tools. It emphasizes finding accommodations that work for the individual and their specific ADHD presentation and challenges.
Kellyn Gorman shares her experience living with ADHD and strategies for turning it into a positive. She discusses how ADHD impacted her childhood and how it still presents challenges as an adult. However, with the right tools and understanding of her needs, she is able to find success. She provides tips for organizing, prioritizing tasks, managing distractions, and accessing support. The key is learning about ADHD and how to structure one's environment and routine to play to one's strengths rather than fighting against the condition.
This document discusses overcoming silos when implementing DevOps for a new product at a company. The teams involved were dispersed globally and siloed in their tools and processes. Challenges included isolating workload sizes, choosing a Linux image, and team ownership issues. The solution involved aligning teams, automating deployment with Bash scripts called by Terraform and Azure DevOps, and evolving the automation. This improved communication, decreased teams from 120 people to 7, and increased deployments and profits for the successful project.
This document discusses the future of data and the Azure data ecosystem. It highlights that by 2025 there will be 175 zettabytes of data in the world and the average person will have over 5,000 digital interactions per day. It promotes Azure services like Power BI, Azure Synapse Analytics, Azure Data Factory and Azure Machine Learning for extracting value from data through analytics, visualization and machine learning. The document provides overviews of key Azure data and analytics services and how they fit together in an end-to-end data platform for business intelligence, artificial intelligence and continuous intelligence applications.
This document discusses techniques for optimizing Power BI performance. It recommends tracing queries using DAX Studio to identify slow queries and refresh times. Tracing tools like SQL Profiler and log files can provide insights into issues occurring in the data sources, Power BI layer, and across the network. Focusing on optimization by addressing wait times through a scientific process can help resolve long-term performance problems.
The document provides tips and tricks for scripting success on Linux. It begins with introducing the speaker and emphasizing that the session will focus on best practices for those already familiar with BASH scripting. It then details various tips across multiple areas: setting the shell and environment variables, adding headers and comments to scripts, validating input, implementing error handling and debugging, leveraging utilities like CRON for scheduling, and ensuring scripts continue running across sessions. The tips are meant to help authors write more readable, maintainable, and reliable scripts.
Mentors provide guidance and support, while sponsors use their influence to advocate for and promote a protege's career. Obtaining both mentors and sponsors is important for advancing in one's field and overcoming biases, yet women often have fewer sponsors than men. The document outlines strategies for how women can find and work with sponsors, and how men can act as allies in supporting women. Developing representation of women in technology fields through mentorship and sponsorship can help initiatives become self-sustaining over time.
Kellyn Pot'Vin-Gorman presented on GDPR compliance. Some key points include:
- GDPR went into effect in May 2018 and covers any data belonging to an EU citizen.
- Fines for non-compliance can be up to 4% of annual revenue or €20 million.
- DBAs play a role in identifying critical data, auditing processes, and reporting on compliance.
- An AI tool assessed the privacy policies of 14 major companies and found they all failed to meet GDPR requirements.
- Achieving compliance requires security frameworks, data mapping, encryption, access controls, and dedicated teams.
This document provides tips for optimizing performance in Power BI by focusing on different areas like data sources, the data model, visuals, dashboards, and using trace and log files. Some key recommendations include filtering data early, keeping the data model and queries simple, limiting visual complexity, monitoring resource usage, and leveraging log files to identify specific waits and bottlenecks. An overall approach of focusing on time-based optimization by identifying and addressing the areas contributing most to latency is advocated.
Kellyn Pot’Vin-Gorman discusses DevOps tools for winning agility. She emphasizes that while many organizations automate testing, the DevOps journey is longer and involves additional steps like orchestration between environments, security, collaboration, and establishing a culture of continuous improvement. She also stresses that organizations should not forget about managing their data as part of the DevOps process and advocates for approaches like database virtualization to help enhance DevOps initiatives.
The document discusses various Linux system monitoring utilities including SAR, SADC/SADF, MPSTAT, VMSTAT, and TOP. SAR provides CPU, memory, I/O, network, and other system activity reports. SADC collects system data which SADF can then format and output. MPSTAT reports processor-level statistics. VMSTAT provides virtual memory statistics. TOP displays active tasks and system resources usage.
This document provides an overview of various Linux performance monitoring and tuning tools. It discusses tools such as PIDSTAT, DSTAT, NMON, LSOF, and FUSER which can provide process-level insights into CPU, memory, disk and network usage. It also covers more advanced tracing tools like Trace-cmd, perf-tools, and eBPF which utilize capabilities in the Linux kernel for deep performance analysis and troubleshooting. The document emphasizes that these tools present options for system visibility without heavy overhead or specialized knowledge requirements.
This document provides an overview of essential Linux commands and utilities for SQL Server DBAs. It covers topics such as Linux history, users and permissions, file editing and navigation commands like vi, process monitoring with ps and top, and system diagnostic utilities like sar, vmstat, and mpstat. The document aims to teach SQL Server DBAs basic Linux skills to manage their environment and troubleshoot issues.
Kellyn Pot’Vin-Gorman compares indexing between SQL Server and Oracle. She loads data into sample tables in each platform, adjusts the fill factor/pctfree settings, and measures the impact on indexing and query performance. Her tests show that adjusting the fill factor in SQL Server and pctfree settings in Oracle to leave more free space per block significantly increases query times and index storage requirements. Oracle indexes are generally more efficient with lower pctfree values while SQL Server benefits from higher fill factor levels.
Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Em...Erasmo Purificato
Slide of the tutorial entitled "Paradigm Shifts in User Modeling: A Journey from Historical Foundations to Emerging Trends" held at UMAP'24: 32nd ACM Conference on User Modeling, Adaptation and Personalization (July 1, 2024 | Cagliari, Italy)
How Social Media Hackers Help You to See Your Wife's Message.pdfHackersList
In the modern digital era, social media platforms have become integral to our daily lives. These platforms, including Facebook, Instagram, WhatsApp, and Snapchat, offer countless ways to connect, share, and communicate.
Best Practices for Effectively Running dbt in Airflow.pdfTatiana Al-Chueyr
As a popular open-source library for analytics engineering, dbt is often used in combination with Airflow. Orchestrating and executing dbt models as DAGs ensures an additional layer of control over tasks, observability, and provides a reliable, scalable environment to run dbt models.
This webinar will cover a step-by-step guide to Cosmos, an open source package from Astronomer that helps you easily run your dbt Core projects as Airflow DAGs and Task Groups, all with just a few lines of code. We’ll walk through:
- Standard ways of running dbt (and when to utilize other methods)
- How Cosmos can be used to run and visualize your dbt projects in Airflow
- Common challenges and how to address them, including performance, dependency conflicts, and more
- How running dbt projects in Airflow helps with cost optimization
Webinar given on 9 July 2024
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.
Quality Patents: Patents That Stand the Test of TimeAurora Consulting
Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality.
Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality.
Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality.
Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank?
** Episode Overview **
In this first episode of our quality series, Kristen Hansen and the panel discuss:
⦿ What do we mean when we say patent quality?
⦿ Why is patent quality important?
⦿ How to balance quality and budget
⦿ The importance of searching, continuations, and draftsperson domain expertise
⦿ Very practical tips, tricks, examples, and Kristen’s Musts for drafting quality applications
https://www.aurorapatents.com/patently-strategic-podcast.html
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!
Sustainability requires ingenuity and stewardship. Did you know Pigging Solutions pigging systems help you achieve your sustainable manufacturing goals AND provide rapid return on investment.
How? Our systems recover over 99% of product in transfer piping. Recovering trapped product from transfer lines that would otherwise become flush-waste, means you can increase batch yields and eliminate flush waste. From raw materials to finished product, if you can pump it, we can pig it.
RPA In Healthcare Benefits, Use Case, Trend And Challenges 2024.pptxSynapseIndia
Your comprehensive guide to RPA in healthcare for 2024. Explore the benefits, use cases, and emerging trends of robotic process automation. Understand the challenges and prepare for the future of healthcare automation
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.
Measuring the Impact of Network Latency at TwitterScyllaDB
Widya Salim and Victor Ma will outline the causal impact analysis, framework, and key learnings used to quantify the impact of reducing Twitter's network latency.
Advanced Techniques for Cyber Security Analysis and Anomaly DetectionBert Blevins
Cybersecurity is a major concern in today's connected digital world. Threats to organizations are constantly evolving and have the potential to compromise sensitive information, disrupt operations, and lead to significant financial losses. Traditional cybersecurity techniques often fall short against modern attackers. Therefore, advanced techniques for cyber security analysis and anomaly detection are essential for protecting digital assets. This blog explores these cutting-edge methods, providing a comprehensive overview of their application and importance.
The Rise of Supernetwork Data Intensive ComputingLarry Smarr
Invited Remote Lecture to SC21
The International Conference for High Performance Computing, Networking, Storage, and Analysis
St. Louis, Missouri
November 18, 2021
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
Fluttercon 2024: Showing that you care about security - OpenSSF Scorecards fo...Chris Swan
Have you noticed the OpenSSF Scorecard badges on the official Dart and Flutter repos? It's Google's way of showing that they care about security. Practices such as pinning dependencies, branch protection, required reviews, continuous integration tests etc. are measured to provide a score and accompanying badge.
You can do the same for your projects, and this presentation will show you how, with an emphasis on the unique challenges that come up when working with Dart and Flutter.
The session will provide a walkthrough of the steps involved in securing a first repository, and then what it takes to repeat that process across an organization with multiple repos. It will also look at the ongoing maintenance involved once scorecards have been implemented, and how aspects of that maintenance can be better automated to minimize toil.
7. Benefits of IaaS
QUICKER MIGRATION TIMES THAN OTHER CLOUD
OFFERINGS
ABILITY TO KEEP SIMILAR ARCHITECTURE
INTRODUCE CLOUD SERVICES AND FEATURES
REMOVE THE DATACENTER
8. Insanity Is Doing the Same Thing
Over and Over Again and
Expecting Different Results
~Einstein
*Also Infrastructure folks who continually
try to lift and shift the infrastructure for
database workloads…
9. Migrate the Workload, not the
Hardware
• Servers may not have been sized appropriately for the
workload.
• Workload of database may have changed over time.
• May cost you more in licensing than what the
workload actually requires.
• For different databases, there are different tools to
assist:
• SQL Server: DMVs, PerfMon, Scripting, (Randal,
Klee, etc) Redgate SQL Monitor
• Oracle: AWR, OEM, ASH, SASH, Statspack, Tracing
• MySQL: Solarwinds DPA, Instrumental, Panopta
10. Architect for the Cloud
Deploy all tiers to the cloud
Avoid ingress or egress charges
Reduce latency
Remove complexity and centrally locate to the cloud
Refactor processes that utilize large
percentages of resources and network. In
the cloud, this has an impactful cost.
A lift and shift does not equal taking what
you have on-prem and duplicating it.
Success means you take the database and
lift and shift it with the support of cloud
services.
12. • A and B-series commonly won’t work for
database development
• D-series can work for some, but consider
matching series to production, but lesser
resources
• L and H-series are outliers for database
workloads.
• Identify workload needs
• D-series is for general use
• E-series and M-series are the most
common VMs in the database industry
• E-series for average production
databases
• M-series for VLDB, (very large
databases or heavy processing)
https://azure.microsoft.com/en-us/pricing/details/virtual-machines/series/
14. • Allows for isolation of
vCPU to application
licensing for database and
app workloads
• Matched in existing series
VMs in the Azure Pricing
Calculator
• Share storage between
databases or apps
• Before choosing, ensure
your product licensing
support constrained
vCPU VMs
• Carefully match
workloads on IO and
memory, not just vCPU
usage when combining.
https://docs.microsoft.com/en-us/azure/virtual-machines/windows/constrained-vcpu
15. Specialized
Constrained
vCPU VMs
Name vCPU Specs
Standard_M8-2ms 2 Same as M8ms
Standard_M8-4ms 4 Same as M8ms
Standard_M16-4ms 4 Same as M16ms
Standard_M16-8ms 8 Same as M16ms
Standard_M32-8ms 8 Same as M32ms
Standard_M32-16ms 16 Same as M32ms
Standard_M64-32ms 32 Same as M64ms
Standard_M64-16ms 16 Same as M64ms
Standard_M128-64ms 64 Same as M128ms
Standard_M128-32ms 32 Same as M128ms
Standard_E4-2s_v3 2 Same as E4s_v3
Standard_E8-4s_v3 4 Same as E8s_v3
Standard_E8-2s_v3 2 Same as E8s_v3
Standard_E16-8s_v3 8 Same as E16s_v3
https://docs.microsoft.com/en-us/azure/virtual-machines/windows/constrained-vcpu
17. Understand
Cloud HA and
MAA
• Maximum Availability
Architecture
• Different names for
different vendors.
• Get a clear
understanding of
the SLA uptime for
the business and
environment.
• Onprem
datacenters are not
the same as cloud
architecture.
• Pivot products and
services to cover
what you need.
• High Availability
• Identify what HA means
to stakeholders.
• Often, it’s specific
features, not a product,
then marry these to a
cloud product which:
• Matches the IaaS
architecture
• Doesn’t introduce
overhead
• Has vendor support
• Identify what cloud
services may
duplicate or simulate
the same feature if
unavailable.
https://www.oracle.com/database/technologies/high-availability/maa.html
18. Concept Description
Region Multiple datacenters within a specific perimeter and connected
through a low-latency network
Geography A specific location area. The area may have more than one Azure
region
Availability Zone Physical regions located within a region. Each zone has one or more
datacenters equipped with independent power, cooling and
network.
Geo-Region Current region recommended with the appropriate services and
redundancy for the database and other workloads.
Secondary Region Utilized to spread a workload for HA and/or recovery
21. • High Availability, (HA) offering to
protect data and apps from
datacenter failures.
• Contain multiple locations
within a single Azure region.
• Not all products or services are
available for AZ or in every
region.
• No additional cost to deploy
VMs in an Availability Zone.
https://docs.microsoft.com/en-us/azure/availability-zones/az-overview
23. • Along with AZ/AG, etc.
• Use DR products that best
support cloud
• Always-on Availability Groups
and Oracle DataGuard
• Implement advanced,
automation features to
remove manual intervention
• Clearly identify RPO,
(Recovery Point Objective)
and RTO, (Recovery Time
Objective) for your business.
• Ensure that the HR, DR,
backup and recovery
decisions meet these and
have been fully TESTED.
25. • Ensure you know the
IO workload for your
database going to the
cloud
• Understand both the
MB/s and the IO
throughput for the
database.
• Oracle has
demonstrated, on
average, much higher
demands for IO than
MSSQL, MySQL or
PostgreSQL.
• Storage is separate to
ensure the right
combination in IaaS
can be reached.
26. Storage Considerations
Ensure that backups and data refresh requirements are
calculated into the IO demands for the database.
What is the storage to be used for?
Data- OLTP, DSS, OLAP,
Big Data?
Logging Backup
27. • Know the difference between storage
Account Types:
• GP V1 vs. V2
• BlockBlob Storage
• File Storage
• Blob Storage: Use Type v2 whenever
possible.
• Most database workloads are going to
requite Premium SSD storage.
https://docs.microsoft.com/en-us/azure/virtual-machines/premium-storage-performance
28. Storage Account Services Supported Tiers Access Support Replication
GP V2 Blob, File, Queue,
Table, Disk, Data
Lake Gen2
Standard, Premium Hot, Cool, Archive LRS, GRS, RA-GRS,
ZRS, GZRS, RA-GZRS,
GP V1 Blob, File, Queue,
Table and Disk
Standard, Premium N/A LRS, GRS, RA-GRS
Block Blob Storage Blob Premium N/A LRS, ZRS
File Storage File Only Premium N/A LRS, ZRS
Blob Storage Blob Standard Hot, Cool, Archive LRS, GRS, RA-GRS
https://docs.microsoft.com/en-us/azure/storage/common/storage-account-overview
30. Ultradisks
• Often the first recommendation by Infra
• Be aware of the limitations before
recommending for database workloads:
• Oracle 12.2 later is supported
• Only supports un-cached reads and un-cached writes
• Doesn't support disk snapshots, VM images, availability
sets, Azure Dedicated Hosts, or Azure disk encryption
• No integration with Azure Backup or Azure Site Recovery
• Offers up to 16 TiB per region per subscription
unless upped via support.
• Isn’t available in all regions.
Capacity
per disk
(GiB)
IOPS per
disk
Throughput
per disk
(MB/s)
Mininum 4 100 1
Maximum 65536 160000 2000
https://docs.microsoft.com/en-us/azure/virtual-machines/disks-enable-ultra-ssd#ga-scope-and-limitations
31. Redundancy
• Locally Redundant Storage, (LRS)- copies data
synchronously 3 times within a single physical
location in the same region. Not considered HA.
• Zone-Redundant Storage, (ZRS)- copy data
synchronously across 3 Azure AZ in the primary
region. HA would have first 2 in first region and 3rd in
secondary region.
• Geo-Redundant Storage, (GRS)- Copies data
synchronously in a single physical location of the
primary region using LRS, then copies data async to a
physical location in a secondary region.
• Geo-Zone-Redundant Storage, (GZRS)- Copies data
synchronously across 3 Azure AZ in primary region
using ZRS & then copies to a physical region in a
secondary region.
32. IO Throttling
• Why it happens?
• No, you can’t have all the
resources for yourself.
• What all can be involved?
• It’s not just the database.
• How to identify it?
• What do to when it is
identified?
https://docs.microsoft.com/en-us/azure/virtual-machines/sizes-memory?toc=/azure/virtual-
machines/linux/toc.json&bc=/azure/virtual-machines/linux/breadcrumb/toc.json
33. • High IOPS-
• MBPs: Azure NetApp
Files
• Higher IO throughput:
Consider ANF or
Ultradisk
• Consider disk striping
of smaller disks and
parallel processing at
the database level.
• Backups, batch loading
and other challenges:
• Offload backups
with secondary
backup solutions.
• Refactor batch
processing with
other services,
(Azure Data Factory,
Azure Analysis
Services, Databricks,
etc.)
34. Types of cache
Settings
• Available to Premium Storage
• A Multi-tier caching technology, aka BlobCache
• The default is set to Read/Write, which isn’t viable
for databases
• Read Cache is, as it caches reads, while letting writes
pass through to disk.
• Limit of 4095Gib on per individual premium disk
• Results in any disk above a P40 for entirety will
silently disable read caching.
• Larger disks are preferably used without caching,
otherwise additional space is wasted.
• Use smaller disks and choose to stripe and
mirror.
• M-series available and VM series dependent.
36. When To Go
Old-School
• Depending on the combination of storage,
striping and RAID, performance can vary greatly.
• Verify that disk is striped correctly, (log
creation commands and document.)
• Consider smaller disk size and stripe vs.
larger, single drive to offer better
performance.
• In Linux, consider huge pages and use LVM,
(Linux Volume Manager) over Oracle ASM,
(Automatic Storage Management) to provide
advanced features for disk layout.
• Keep an eye on disk sector size, (
37. Failure Due to
Backups
• Modernize the way the database is backed up
and restore.
• Archaic backup and data refresh strategies can
impact a cloud environment heavily in IO and
network latency
• Snapshot technology with database consistency
should be your FIRST choice in backup
solutions.
• Oracle AWR can demonstrate the impact on
the overall database workload of RMAN and
datapump jobs.
• The Profiler can identify the workload
impact in SQL Server.
38. Simplify the
Shift to the
Cloud
• Migrate your tools that you already use to
monitor and manage the database on-prem into
the cloud whenever possible.
• For Oracle, we implement Oracle Enterprise
Manager, (Cloud Control) to ensure the
cloud environment looks just like their
onprem one.
• Use features to automate patching
• Incorporate DevOps automation to the cloud
changes FIRST
• If you’re new to Linux, then consider
automating the OS patching with the Azure
Linux automated patching service
39. • No matter if during
the migration or when
there are issues:
• Infrastructure
support will be
the first line of
defense.
• Database
workload will be
an afterthought.
• Data support may
be a request only
option.
• First inclination is to
“throw iron” at the
problem.
• Demand to look at
the code, database
design, etc.
• If you fix the real
cause, you fix it once
vs. revisiting it over
and over.
• Do have support take
advantage of
advanced Azure
tools to help identify
where the problem is,
(IO, memory, CPU)
40. • Use the cloud services of what you already
use on-prem.
• If you can deploy your existing, on-prem
tool on a VM, consider doing this, (Oracle
Enterprise Manager is cloud ready, so it’s
one of the favorites for Oracle).
• Keep backup, replication tools as often as
you are able- don’t create larger learning
curves than what is required.
41. • Use Azure Managed Instance for SQL
Server
• Use Lifecycle Management Pack with
Oracle Enterprise Manager to automate
monitoring, management and database
patching.
• Use Linux Automated Patching,
(preview) to automate OS patching of
VMs.
42. Database Workloads on IaaS
Know
Know the
infrastructure
Know
Infrastructure must
know the database
Know
Know what is the
cause of the
problem- don’t
guess.
Bring in
Bring in existing
tools that are cloud
enabled
Know
Know what tools are
available in the
cloud and when
stuck, bring in Azure
support.
No one can have it all. One of the benefits of the cloud is also one of the challenges- how to give everyone a share. Throttling occurshttps://docs.microsoft.com/en-us/azure/virtual-machines/sizes-memory?toc=/azure/virtual-machines/linux/toc.json&bc=/azure/virtual-machines/linux/breadcrumb/toc.json
Azure Premium Storage have a multi-tier caching technology called BlobCache, which uses a combination of the host vRAM and local SSD for caching I/O. By default, this cache setting is set to Read/Write for OS disks, which is the disk on which the Linux OS resides, and ReadOnly for data disks, which are the disks on which Oracle database files might reside.
As the name suggests, ReadWrite caches both read I/O and write I/O from the VM, and because writes are not persisted directly to storage, this is unsuitable for database applications. Also as the name suggests, ReadOnly caches only read I/O, allowing write I/O to write-through directly to storage, which is appropriate for databases.