IaaS for DBAs in Azure

This document discusses managing storage across public and private resources. It covers the evolution of on-site storage management, storage options in the public cloud, and challenges of managing hybrid cloud storage. Key topics include the transition from siloed storage to software-defined storage, various cloud storage services like object storage and block storage, challenges of public cloud limitations, and solutions for connecting on-site and cloud storage like gateways, file systems, and caching appliances.

Kudu is a new column-oriented storage system for Apache Hadoop that is designed to address the gaps in transactional processing and analytics in Hadoop. It aims to provide high throughput for large scans, low latency for individual rows, and database semantics like ACID transactions. Kudu is motivated by the changing hardware landscape with faster SSDs and more memory, and aims to take advantage of these advances. It uses a distributed table design partitioned into tablets replicated across servers, with a centralized metadata service for coordination.

The ever-increasing interest in running fast analytic scans on constantly updating data is stretching the capabilities of HDFS and NoSQL storage. Users want the fast online updates and serving of real-time data that NoSQL offers, as well as the fast scans, analytics, and processing of HDFS. Additionally, users are demanding that big data storage systems integrate natively with their existing BI and analytic technology investments, which typically use SQL as the standard query language of choice. This demand has led big data back to a familiar friend: relationally structured data storage systems. Todd Lipcon explores the advantages of relational storage and reviews new developments, including Google Cloud Spanner and Apache Kudu, which provide a scalable relational solution for users who have too much data for a legacy high-performance analytic system. Todd explains how to address use cases that fall between HDFS and NoSQL with technologies like Apache Kudu or Google Cloud Spanner and how the combination of relational data models, SQL query support, and native API-based access enables the next generation of big data applications. Along the way, he also covers suggested architectures, the performance characteristics of Kudu and Spanner, and the deployment flexibility each option provides.

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.

The document discusses HBase multi-tenancy features including RSGroup for compute resource isolation, DNGroup for storage isolation, and replication isolation. It also covers object storage solutions in HBase like MOB and YARN log storage, as well as techniques for isolating large queries. Bugs and fixes are mentioned relating to these features.

This document discusses software defined storage and evaluates whether it is a real technology or just hype. It defines software defined storage as storage software that runs on standard x86 server hardware and can be sold as software or as an appliance. The document examines different types of software defined storage like storage that runs on a single server, in a virtual machine, or across multiple hypervisor hosts in a scale-out cluster. It also compares the benefits and challenges of converged infrastructure solutions using software defined storage versus dedicated storage arrays.

Dieses Webinar hilft Ihnen, die Unterschiede zwischen den verschiedenen Replikationsansätzen zu verstehen, die Anforderungen der jeweiligen Strategie zu erkennen und sich über die Möglichkeiten klar zu werden, was mit jeder einzelnen zu erreichen ist. Damit werden Sie hoffentlich eher in der Lage sein, herauszufinden, welche PostgreSQL-Replikationsarten Sie wirklich für Ihr System benötigen. - Wie physische und logische Replikation in PostgreSQL funktionieren - Unterschiede zwischen synchroner und asynchroner Replikation - Vorteile, Nachteile und Herausforderungen bei der Multi-Master-Replikation - Welche Replikationsstrategie für unterschiedliche Use-Cases besser geeignet ist Referent: Borys Neselovskyi, Regional Sales Engineer DACH, EDB ------------------------------------------------------------ For more #webinars, visit http://bit.ly/EDB-Webinars Download free #PostgreSQL whitepapers: http://bit.ly/EDB-Whitepapers Read our #Postgres Blog http://bit.ly/EDB-Blogs Follow us on Facebook at http://bit.ly/EDB-FB Follow us on Twitter at http://bit.ly/EDB-Twitter Follow us on LinkedIn at http://bit.ly/EDB-LinkedIn Reach us via email at marketing@enterprisedb.com

This document discusses migrating an Oracle Database Appliance (ODA) from a bare metal to a virtualized platform. It outlines the initial situation, desired target, challenges, and solution approach. The key challenges included system downtime during the migration, backup/restore processes, using external storage, and database reorganizations. The solution involved first converting to a virtual platform and then upgrading, using backup/restore, attaching an NGENSTOR Hurricane storage appliance for direct attached storage, and moving database reorganizations to a separate maintenance window. It also discusses the odaback-API tool created to help automate and standardize the migration process.

Deploying Flash in the Data Center discusses various ways to deploy flash storage in the data center to improve performance. It describes all-flash arrays that provide the highest performance but also more expensive options like hybrid arrays that combine flash and disk. It also covers using flash in servers or as a cache to accelerate storage arrays. Choosing the best approach depends on factors like workload, budget, and existing infrastructure.

A presentation most recently delivered by Simon Haslam at the UKOUG Tech14 conference, though given elsewhere in various forms including Oracle Gebruikersclub Holland and an online RAC SIG seminar. The slides introduce the Oracle Database Apppliance (ODA) and discusses how you can use it to easily deploy both databases and WebLogic Server. Three case studies are covered and the presentation wraps up considering when the ODA might be most suitable for your organisation. This latest Winter 2014 version includes ODA 12c updates (database and WebLogic).

Select Stars: A DBA's Guide to Azure Cosmos DB - Presented for SQL Saturday Oslo on 1 September 2018.

Trove was integrated into the IceHouse release of OpenStack to provision and manage databases in an OpenStack Cloud. With Trove developers can spin up a database instance on-demand in an instant. Please sign up for upcoming OpenStack Online Meetups: http://www.meetup.com/OpenStack-Online-Meetup/

Moving to the cloud is hard, and moving Postgres databases to the cloud is even harder. Public cloud or private cloud? Infrastructure as a Service (IaaS), or Platform as a Service (PaaS)? Kubernetes for the application, or for the database and the application? This talk will juxtapose self-managed Kubernetes and container-based database solutions, Postgres deployments on IaaS, and Postgres DBaaS solutions of which EDB’s DBaaS BigAnimal is the latest example.

Frank Ober of Intel’s Solutions Group will review how he achieved 1+ million transactions per second on a single dual socket Xeon Server with SSDs using the open source tools of Aerospike for benchmarking. The presentation will include a live demo showing the performance of a sample system. We will cover: The state of Key-value Stores on modern SSDs. What choices you make in your selection process of hardware that will most benefit a consistent deployment of Aerospike. How to run an Aerospike mesh on a single machine. How to work replication of that mesh, and what values allow for maximum threading and scale. We will also focus on some key learnings and the Total Cost of Ownership choices that will make your deployment more effective long term.

Microsoft Azure Cosmos DB is a multi-model database that supports document, key-value, wide-column and graph data models. It provides high throughput, low latency and global distribution across multiple regions. Cosmos DB supports multiple APIs including SQL, MongoDB, Cassandra and Gremlin to allow developers to use their preferred API based on their application needs and skills. It also provides automatic scaling of throughput and storage across all data partitions.

This document discusses database deployment automation. It begins with introductions and an example of a problematic Friday deployment. It then reviews the concept of automation and different visions of it within an organization. Potential tools and frameworks for automation are discussed, along with common pitfalls. Basic deployment workflows using Oracle Cloud Control are demonstrated, including setting credentials, creating a proxy user, adding target properties, and using a job template. The document concludes by emphasizing that database deployment automation is possible but requires effort from multiple teams.

My present slides for my presentation about azure storage services at 2015 Global Azure boot camp, Ahmedabad

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.

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 provides an overview and agenda for a presentation on virtualizing SQL Server workloads on VMware vSphere. The presentation will cover designing SQL Server virtual machines for performance in production environments, consolidating multiple SQL Server workloads, and ensuring SQL Server availability using vSphere features. It emphasizes understanding the workload, optimizing for storage and network performance, avoiding swapping, using large memory pages, and accounting for NUMA when configuring SQL Server virtual machines.

This presentation is based on a real life experience migrating Oracle E-Business Suite production to AWS. We will talk about: - Certification basics. Overview on supported configurations. - How to build. Recommendations based on migration and 2 year production runtime experience. - Advanced configurations. - R12.2. - Microsoft Azure and Oracle Cloud review. Quick comparison outline of main alternative platforms. How ready is Oracle's own cloud service. - Scaling. This is a very client demanding topic. Many are looking into cloud migration options and how they can optimize the cost compared to the on-premise hosting, and many misunderstand the complexity of Oracle EBS stack being capable for cloud deployment.

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

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.

This document proposes a virtual heterogeneous database platform to address challenges with physical database servers like low utilization and high costs. It would provide a virtualization platform to host multiple database types and high availability solutions in virtual machines, improving efficiency through automated provisioning and management. The document discusses database server models, high availability solutions like Datakeeper and clustering, operations team concerns about flexibility and testing, and monitoring tools.

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 document provides an overview of advanced SQL Server techniques and best practices when running SQL Server in a virtualized environment on vSphere. It covers topics such as storage configuration including VMFS, block alignment, and I/O profiling. Networking techniques like jumbo frames and guest tuning are discussed. The document also reviews memory management and optimization, CPU sizing considerations, workload consolidation strategies, and high availability options for SQL Server on vSphere.

Virtual SAN 5.5 provides a technical deep dive into VMware's Virtual SAN software-defined storage technology. Key points include: - Virtual SAN runs on standard x86 servers and provides a policy-based management framework and high performance flash architecture. - It delivers scale of up to 32 hosts, 3,200 VMs, 4.4 petabytes, and 2 million IOPS. - Virtual SAN is integrated with VMware technologies like vMotion, vSphere HA, and vSphere replication and simplifies storage management. - It offers flexible configurations, granular scaling, and reduces both capital and operating expenses for improved total cost of ownership.

Microsoft SQL Server is one of the most widely deployed “apps” in the market today and is used as the database layer for a myriad of applications, ranging from departmental content repositories to large enterprise OLTP systems. Typical SQL Server workloads are somewhat trivial to virtualize; however, business critical SQL Servers require careful planning to satisfy performance, high availability, and disaster recovery requirements. It is the design of these business critical databases that will be the focus of this breakout session. You will learn how build high-performance SQL Server virtual machines through proper resource allocation, database file management, and use of all-flash storage like XtremIO. You will also learn how to protect these critical systems using a combination of SQL Server and vSphere high availability features. For example, did you know you can vMotion shared-disk Windows Failover Cluster nodes? You can in vSphere 6! Finally, you will learn techniques for rapid deployment, backup, and recovery of SQL Server virtual machines using an all-flash array.

This document discusses an all-flash Ceph array design from QCT based on NUMA architecture. It provides an agenda that covers all-flash Ceph and use cases, QCT's all-flash Ceph solution for IOPS, an overview of QCT's lab environment and detailed architecture, and the importance of NUMA. It also includes sections on why all-flash storage is used, different all-flash Ceph use cases, QCT's IOPS-optimized all-flash Ceph solution, benefits of using NVMe storage, and techniques for configuring and optimizing all-flash Ceph performance.

This document discusses an all-flash Ceph array design from QCT based on NUMA architecture. It provides an agenda that covers all-flash Ceph and use cases, QCT's all-flash Ceph solution for IOPS, an overview of QCT's lab environment and detailed architecture, and the importance of NUMA. It also includes sections on why all-flash storage is used, different all-flash Ceph use cases, QCT's IOPS-optimized all-flash Ceph solution, benefits of using NVMe storage, QCT's lab test environment, Ceph tuning recommendations, and benefits of using multi-partitioned NVMe SSDs for Ceph OSDs.

This document provides best practices for virtualizing mission critical applications like Exchange and SQL Server. It discusses the top 10 myths about virtualizing business critical applications and provides the truths. It then discusses best practices for virtualizing Exchange, including starting simple, licensing, storage configuration, and high availability options. For SQL Server, it covers starting simple, licensing, storage configuration, migrating, and database best practices. It also discusses tools that can be used for database performance analysis when virtualized like Confio IgniteVM and vCenter Operations.

This document provides a summary of a presentation on virtualizing tier one applications. The presentation covered the top 10 myths about virtualizing business critical applications and provided best practices for virtualizing mission critical applications. It also discussed real world tools for monitoring virtualized environments like Confio IgniteVM and vCenter Operations. The presentation aimed to show that virtualizing tier one applications is possible and discussed strategies for virtualizing SQL Server and Microsoft Exchange environments.

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!