The slide deck that Rachel and I had used to present on an overview of the managed PostgreSQL and MySQL service on Azure at SQL Saturday Redmond, 2018. This is part of the Azure Database family.
Amit Banerjee is a senior program manager at Microsoft focusing on performance and high availability disaster recovery (HADR) for SQL Server. He has nearly a decade of experience with SQL Server and was previously part of Microsoft's SQL escalation services and premier field engineering teams. Banerjee is also an author of books on SQL Server internals and troubleshooting as well as migration to SQL Server on Azure. In this presentation, he discusses SQL Server 2017's focus on choice, intelligence, and easy migration. He also outlines the upgrade journey and provides an overview of tools and services for database assessment, migration, and modernization.
Be Proactive: A Good DBA Goes Looking for Signs of Trouble | IDERAIDERA Software
A proactive approach to database maintenance helps DBAs prevent problems. This involves regular backups at intervals determined by recovery point objectives. Backup types include full, differential, and transaction log backups. DBAs should also regularly test restores, check for database integrity issues, set up agent alerts, and ensure proper indexing to optimize query performance.
Geek Sync | How to Be the DBA When You Don't Have a DBA - Eric Cobb | IDERAIDERA Software
Not everyone has a full time database administrator on staff, and in many cases the responsibility of managing the SQL Server falls on the developers. But as long as the backups are running successfully you’re good, right? Not exactly. Your databases could be heading for trouble! Without proper tuning and maintenance, your database performance can grind to a halt.
Tailored to the “Non-DBA”, this session will show you how to configure your SQL Server like a DBA would, and why some SQL Servers default settings may be slowing you down. Discussing server settings, database configurations, and recommended maintenance, you will leave this session with the knowledge and scripts you need to help configure your SQL Server instance to fit your workload, and ensure that your SQL Server and databases are running smoothly.
View the original webcast: https://register.gotowebinar.com/register/8360496614712105997
Advanced SQL Server Performance Tuning | IDERAIDERA Software
The document discusses tips for improving SQL Server performance for both on-premises and Azure databases. It notes that on-premises performance issues are often due to disk latency, while Azure databases may be impacted by storage limitations that can be addressed by adding virtual memory. The document recommends frequent monitoring of Azure databases and understanding wait types, blocking, and query statistics as techniques that can improve performance for both SQL Server and Azure SQL databases.
A preview into SQL Server 2019 from Bob, Asad and my presentation at PASS Summit 2018 (Nov '18). We provided insights into what our public preview builds for SQL Server 2019 had in November.
Geek Sync | SQL Security Principals and Permissions 101IDERA Software
You can watch the replay for this Geek Sync webcast, SQL Security Principals and Permissions 101, in the IDERA Resource Center, http://ow.ly/Sos650A4qKo.
Join IDERA and William Assaf for a ground-floor introduction to SQL Server permissions. This webinar will start with the basics and move into the security implications behind stored procedures, views, database ownership, application connections, consolidated databases, application roles, and much more. This session is perfect for junior DBAs, developers, and system admins of on-premises and Azure-based SQL platforms.
Speaker: William Assaf, MCSE, is a principal consultant and DBA Manager in Baton Rouge, LA. Initially a .NET developer, and later into database administration and architecture, William currently works with clients on SQL Server and Azure SQL platform optimization, management, disaster recovery and high availability, and manages a multi-city team of SQL DBAs at Sparkhound. William has written for Microsoft SQL Certification exams since 2011 and was the lead author of "SQL Server 2017 Administration Inside Out" by Microsoft Press, its second edition due out in 2019. William is a member of the Baton Rouge User Groups Board, a regional mentor for PASS, and head of the annual SQLSaturday Baton Rouge Planning Committee.
When we talk about “knowing our data,” we don’t seem to refer to the term “data integrity” anymore as part of that conversation. After all, that phrase can be very intimidating. But at its heart, it’s very simple – guaranteeing our data has meaning. The good news is much of what we already do creates data integrity in our databases.
In this presentation, we will explore how the basic constructs in our database design enforce data integrity. We will look at this from table design down through details, like data types and constraints. Additionally, we will discuss the difference between objects that support data integrity and those that support database performance.
At the end of the presentation, you will have a better understanding of what data integrity is, how to implement and enforce it in your databases, and why it is so important for our data.
View the original webcast: https://www.idera.com/resourcecentral/webcasts/geeksync/data-integrity-demystified
With the recent release of SQL Server 2016 SP1 providing a consistent programming surface area has generated quite a buzz in the SQL Server community. SQL Server 2016 SP1 allows businesses of all sizes to leverage full feature set such as In-Memory technologies on all editions of SQL Server to get enterprise grade performance. This presentation focuses on the new improvements, new limits on the lower editions, differentiating factors and key scenarios enabled by SQL Server 2016 SP1 which makes SQL Server 2016 SP1 an obvious choice for the customers. This session was delivered to PASS VC DBA fundamentals chapter for everyone to learn about these exciting new improvements announced with SQL Server 2016 SP1 to ensure they are leveraging them to maximize performance and throughput of your SQL Server environment.
PASS VC: SQL Server Performance Monitoring and BaseliningPARIKSHIT SAVJANI
When managing large scale deployment of SQL Server instances, it is important for DBAs to setup proactive monitoring & establishing performance baselines which helps in performance tuning, capacity planning & identifying workload patterns. Attend this session to learn what data should a DBAs collect & how, to monitor & establish performance baseline in SQL Server.
Azure Cosmos DB: Features, Practical Use and Optimization "GlobalLogic Ukraine
This presentation is dedicated to Azure Cosmos DB, it's history, characteristics, tasks and solutions. The presentation deals with performance optimization, practical experience of usage and an overview of the news about Cosmos DB from Microsoft Build 2017 conference (https://build.microsoft.com).
This presentation by Andriy Gorda (Engineering Manager & Lead Software Engineer, Consultant, GlobalLogic Kharkiv) was delivered at GlobalLogic Kharkiv MS TechTalk on June 13, 2017.
Azure SQL Database Introduction by Tim RadneyHasan Savran
Have you been hearing about Azure Managed Instances and want to know what all the fuss is about? Come see how Managed Instances is changing how we think about cloud databases. Managed Instances can be considered a hybrid of Azure SQL Database and on-premises SQL Server with all the awesome benefits of Platform as a Service. You’ll get to see first-hand how easy it is to migrate databases from on-premises to a Managed Instance. We’ll explore the differences between Azure SQL Database, Managed Instances, and SQL Server on an Azure VM to help you determine what is the best fit for your organization. If you’ve been considering Azure for your organization, this session is for you!
This document provides an overview and summary of new security features in SQL Server 2016, including Always Encrypted for encrypting sensitive data at the column level, Dynamic Data Masking for masking sensitive data rather than encrypting it, and Row Level Security for fine-grained access control at the row level. Always Encrypted allows queries on encrypted data and provides application transparency. Dynamic Data Masking masks sensitive data on the result set without requiring application changes. Row Level Security uses security predicates and policies to centrally define and apply row-level access control logic within the database.
SQL Server Database as a Cloud ServicePio Balistoy
Cloud is the new normal and Platform as a service is the future. In this session we aim to understand SQL Database as a service, What it is, its key benefits and uses. We will also explore and compare the two leading providers of the service Azure SQL Server Database and Amazon Web Services - Relational Database Service; to understand their respective strengths.
This presentation is dedicated to Microsoft Azure. It contains an overview of the main trends in the development of Microsoft Azure, and the solutions that Microsoft offers with this product. There are also insights on its further development, and an impact it is going to bring to the market.
This presentation by Andriy Gnennyy (Senior Consultant, GlobalLogic Kharkiv) was delivered at GlobalLogic Kharkiv MS TechTalk on June 13, 2017.
Discovery Day 2019 Sofia - Big data clustersIvan Donev
This document provides an overview of the architecture and components of SQL Server 2019 Big Data Clusters. It describes the key Kubernetes concepts used in Big Data Clusters like pods, services, and nodes. It then explains the different planes (control, compute, data) and nodes that make up a Big Data Cluster and their roles. Components in each plane like the SQL master instance, compute pools, storage pools, and data pools are also outlined.
Azure SQL Database for the SQL Server DBA - Azure Bootcamp Athens 2018 Antonios Chatzipavlis
Azure SQL Database is a managed database service hosted in Microsoft's Azure cloud. Some key differences from SQL Server include: the service is paid by the hour based on the selected service tier; users can dynamically scale resources up or down; backups and high availability are managed by the service provider; and common administration tasks are handled by the provider rather than the user. The service offers automatic backups, point-in-time restore, and geo-restore capabilities along with built-in high availability through replication across three copies in the primary region.
Discovery Day 2019 Sofia - What is new in SQL Server 2019Ivan Donev
This document summarizes new features in SQL Server 2019 including:
- Support for big data analytics using SQL Server, Spark, and data lakes for high volume data storage and access.
- Enhanced data virtualization capabilities to combine data from multiple sources.
- An integrated AI platform to ingest, prepare, train, store, and operationalize machine learning models.
- Improved security, performance, and high availability features like Always Encrypted with secure enclaves and accelerated database recovery.
- Continued improvements based on community feedback.
The document describes several SQL server monitoring and management tools from Docco Labs, including ClipTable for data import, Database File Explorer for file usage monitoring, Log Table Viewer for logging, and SQL Stripes for server monitoring and control. SQL Stripes is a T-SQL based solution that monitors metrics like CPU, disk usage, locks, and pings and notifies users of issues by email, web, audio or visual alerts. It aims to fill the gap between generic monitoring tools and agent-specific alerts.
PaaSport to Paradise: Lifting & Shifting with Azure SQL Database/Managed Inst...Sandy Winarko
This session focuses on the all PaaS solution of Azure SQL DB/Managed Instance (MI) + SSIS in Azure Data Factory (ADF) to lift & shift, modernize, and extend ETL workflows. We will first show you how to provision Azure-SSIS Integration Runtime (IR) – dedicated ADF servers for running SSIS – with SSIS catalog (SSISDB) hosted by Azure SQL DB/MI, configure it to access data on premises using Windows authentication and Virtual Network injection/Self-Hosted IR as a proxy, and extend it with custom/Open Source/3rd party components. We will next show you how to use the familiar SSDT/SSMS tools to design/test/deploy/execute your SSIS packages in the cloud just like you do on premises. We will finally show you how to modernize your ETL workflows by invoking/scheduling SSIS package executions as first-class activities in ADF pipelines and combining/chaining them with other activities, allowing you to trigger your pipeline runs by events, automatically (de)provision SSIS IR just in time, etc.
Tarabica 2019 (Belgrade, Serbia) - SQL Server performance troubleshootingJovan Popovic
Finding and fixing performance issues in SQL Server and the Azure SQL database requires understanding how database engine works and what can affect performance. People sometime make changes without finding the exact cause of the problem, which causes additional issues in the future. In this presentation, we will see some techniques you can apply to identify problems and solutions using Query Store technology, DMVs, SQL plan analysis, etc.
https://www.tarabica.org/Session/Details/78
Better Search and Business Analytics at Southern Glazer’s Wine & SpiritsElasticsearch
See how Southern Glazer’s Wine & Spirits architected their system to deliver a better search and ordering experience, plus how they centrally manage all Elasticsearch deployments on Elastic Cloud Enterprise.
Bi and AI updates in the Microsoft Data Platform stackIvan Donev
This document provides an overview and agenda for a presentation on new features in the Microsoft data platform universe including SQL Server, Azure, and Power BI, with a focus on business intelligence (BI) and artificial intelligence (AI).
The presentation covers new features in SQL Server 2019 for BI like calculation groups and dynamic formatting in Analysis Services tabular mode. It also highlights important updates in Azure including new serverless and hyperscale options for Azure SQL Database, updates to data ingestion and storage with Azure Data Factory v2 and Azure Data Lake Gen 2, and changes to data modeling, preparation, and serving capabilities in Azure SQL Data Warehouse.
The document concludes by discussing options for incorporating AI and machine learning into BI solutions using either
Brk3043 azure sql db intelligent cloud database for app developers - wash dcBob Ward
Make building and maintaining applications easier and more productive. With built-in intelligence that learns app patterns and adapts to maximize performance, reliability, and data protection, SQL Database is a cloud database built for developers. The session covers our most advanced features to-date including Threat Detection, auto-tuned performance and actionable recommendations across performance and security aspects. Case studies and live demos help you understand how choosing SQL Database will make a difference for your app and your company.
A Quick Guide to Sql Server Availability GroupsPio Balistoy
This document provides an overview of SQL Server availability groups. It defines availability groups as a high-availability and disaster recovery feature that allows failover between replicas of a group of databases. Key components include the primary replica that serves read-write transactions, secondary replicas that serve as failover targets, and an availability group listener that direct clients to the current primary replica. The document discusses advantages over previous solutions like database mirroring, as well as some compatibility limitations and administrative considerations.
Azure Database Services for MySQL PostgreSQL and MariaDBNicholas Vossburg
This document summarizes the Azure Database platform for relational databases. It discusses the different service tiers for databases including Basic, General Purpose, and Memory Optimized. It covers security features, high availability, scaling capabilities, backups and monitoring. Methods for migrating databases to Azure like native commands, migration wizards, and replication are also summarized. Best practices for achieving performance are outlined related to network latency, storage, and CPU.
Azure SQL - MySQL, PostGreSQL, SQL on Azure.pdfGeorge Walters
Azure SQL - MySQL, PostGreSQL, SQL on Azure! This presentation helps you understand operational databases for open source and SQL on Linux variations for the Microsoft Azure cloud. Microsoft Azure allows for historically linux-based databases to be fully supported in platform as a service on Azure. This reduces operational overhead, and allows you to innovate faster. There is tremendous opportunity in every industry and organization for Data and AI powered Digital Transformation to accelerate transformative business growth and unlock savings. Digital Transformation entails re-imagining the use of technology and data to innovate intelligent applications that transform products, customer experiences, employee productivity, and operations efficiencies.
Data and AI are the oxygen to nourish and grow transformative business outcomes with digital investments. To maximize the impact of their digital transformation investments, organizations must also evolve their Data and AI strategy and investments.
Data modernization is the path drives meaningful business transformation in stages, as you evolve in your data maturity.
Looking at your current data estate, how would you position your organization if you’d have to think of your business strategies today?
How are you doing reporting?
Are you running both relational and non-relational databases?
Do you have any open-source technologies supporting your data estate?
How do you do reporting?
Do you see your business as having a more reactive approach to leveraging data for faster informed decisions, informative or predictive?
What are your goals for the mid and long term?
Azure Databases for PostgreSQL, MySQL and MariaDBrockplace
Azure provides fully managed database services for PostgreSQL, MySQL and MariaDB. These database services provide high availability, security, backups and restore capabilities out of the box. They can automatically scale compute and storage resources on demand. Migrations from on-premises or other cloud databases to Azure database services can be done with minimal downtime using available migration tools.
With the recent release of SQL Server 2016 SP1 providing a consistent programming surface area has generated quite a buzz in the SQL Server community. SQL Server 2016 SP1 allows businesses of all sizes to leverage full feature set such as In-Memory technologies on all editions of SQL Server to get enterprise grade performance. This presentation focuses on the new improvements, new limits on the lower editions, differentiating factors and key scenarios enabled by SQL Server 2016 SP1 which makes SQL Server 2016 SP1 an obvious choice for the customers. This session was delivered to PASS VC DBA fundamentals chapter for everyone to learn about these exciting new improvements announced with SQL Server 2016 SP1 to ensure they are leveraging them to maximize performance and throughput of your SQL Server environment.
PASS VC: SQL Server Performance Monitoring and BaseliningPARIKSHIT SAVJANI
When managing large scale deployment of SQL Server instances, it is important for DBAs to setup proactive monitoring & establishing performance baselines which helps in performance tuning, capacity planning & identifying workload patterns. Attend this session to learn what data should a DBAs collect & how, to monitor & establish performance baseline in SQL Server.
Azure Cosmos DB: Features, Practical Use and Optimization "GlobalLogic Ukraine
This presentation is dedicated to Azure Cosmos DB, it's history, characteristics, tasks and solutions. The presentation deals with performance optimization, practical experience of usage and an overview of the news about Cosmos DB from Microsoft Build 2017 conference (https://build.microsoft.com).
This presentation by Andriy Gorda (Engineering Manager & Lead Software Engineer, Consultant, GlobalLogic Kharkiv) was delivered at GlobalLogic Kharkiv MS TechTalk on June 13, 2017.
Azure SQL Database Introduction by Tim RadneyHasan Savran
Have you been hearing about Azure Managed Instances and want to know what all the fuss is about? Come see how Managed Instances is changing how we think about cloud databases. Managed Instances can be considered a hybrid of Azure SQL Database and on-premises SQL Server with all the awesome benefits of Platform as a Service. You’ll get to see first-hand how easy it is to migrate databases from on-premises to a Managed Instance. We’ll explore the differences between Azure SQL Database, Managed Instances, and SQL Server on an Azure VM to help you determine what is the best fit for your organization. If you’ve been considering Azure for your organization, this session is for you!
This document provides an overview and summary of new security features in SQL Server 2016, including Always Encrypted for encrypting sensitive data at the column level, Dynamic Data Masking for masking sensitive data rather than encrypting it, and Row Level Security for fine-grained access control at the row level. Always Encrypted allows queries on encrypted data and provides application transparency. Dynamic Data Masking masks sensitive data on the result set without requiring application changes. Row Level Security uses security predicates and policies to centrally define and apply row-level access control logic within the database.
SQL Server Database as a Cloud ServicePio Balistoy
Cloud is the new normal and Platform as a service is the future. In this session we aim to understand SQL Database as a service, What it is, its key benefits and uses. We will also explore and compare the two leading providers of the service Azure SQL Server Database and Amazon Web Services - Relational Database Service; to understand their respective strengths.
This presentation is dedicated to Microsoft Azure. It contains an overview of the main trends in the development of Microsoft Azure, and the solutions that Microsoft offers with this product. There are also insights on its further development, and an impact it is going to bring to the market.
This presentation by Andriy Gnennyy (Senior Consultant, GlobalLogic Kharkiv) was delivered at GlobalLogic Kharkiv MS TechTalk on June 13, 2017.
Discovery Day 2019 Sofia - Big data clustersIvan Donev
This document provides an overview of the architecture and components of SQL Server 2019 Big Data Clusters. It describes the key Kubernetes concepts used in Big Data Clusters like pods, services, and nodes. It then explains the different planes (control, compute, data) and nodes that make up a Big Data Cluster and their roles. Components in each plane like the SQL master instance, compute pools, storage pools, and data pools are also outlined.
Azure SQL Database for the SQL Server DBA - Azure Bootcamp Athens 2018 Antonios Chatzipavlis
Azure SQL Database is a managed database service hosted in Microsoft's Azure cloud. Some key differences from SQL Server include: the service is paid by the hour based on the selected service tier; users can dynamically scale resources up or down; backups and high availability are managed by the service provider; and common administration tasks are handled by the provider rather than the user. The service offers automatic backups, point-in-time restore, and geo-restore capabilities along with built-in high availability through replication across three copies in the primary region.
Discovery Day 2019 Sofia - What is new in SQL Server 2019Ivan Donev
This document summarizes new features in SQL Server 2019 including:
- Support for big data analytics using SQL Server, Spark, and data lakes for high volume data storage and access.
- Enhanced data virtualization capabilities to combine data from multiple sources.
- An integrated AI platform to ingest, prepare, train, store, and operationalize machine learning models.
- Improved security, performance, and high availability features like Always Encrypted with secure enclaves and accelerated database recovery.
- Continued improvements based on community feedback.
The document describes several SQL server monitoring and management tools from Docco Labs, including ClipTable for data import, Database File Explorer for file usage monitoring, Log Table Viewer for logging, and SQL Stripes for server monitoring and control. SQL Stripes is a T-SQL based solution that monitors metrics like CPU, disk usage, locks, and pings and notifies users of issues by email, web, audio or visual alerts. It aims to fill the gap between generic monitoring tools and agent-specific alerts.
PaaSport to Paradise: Lifting & Shifting with Azure SQL Database/Managed Inst...Sandy Winarko
This session focuses on the all PaaS solution of Azure SQL DB/Managed Instance (MI) + SSIS in Azure Data Factory (ADF) to lift & shift, modernize, and extend ETL workflows. We will first show you how to provision Azure-SSIS Integration Runtime (IR) – dedicated ADF servers for running SSIS – with SSIS catalog (SSISDB) hosted by Azure SQL DB/MI, configure it to access data on premises using Windows authentication and Virtual Network injection/Self-Hosted IR as a proxy, and extend it with custom/Open Source/3rd party components. We will next show you how to use the familiar SSDT/SSMS tools to design/test/deploy/execute your SSIS packages in the cloud just like you do on premises. We will finally show you how to modernize your ETL workflows by invoking/scheduling SSIS package executions as first-class activities in ADF pipelines and combining/chaining them with other activities, allowing you to trigger your pipeline runs by events, automatically (de)provision SSIS IR just in time, etc.
Tarabica 2019 (Belgrade, Serbia) - SQL Server performance troubleshootingJovan Popovic
Finding and fixing performance issues in SQL Server and the Azure SQL database requires understanding how database engine works and what can affect performance. People sometime make changes without finding the exact cause of the problem, which causes additional issues in the future. In this presentation, we will see some techniques you can apply to identify problems and solutions using Query Store technology, DMVs, SQL plan analysis, etc.
https://www.tarabica.org/Session/Details/78
Better Search and Business Analytics at Southern Glazer’s Wine & SpiritsElasticsearch
See how Southern Glazer’s Wine & Spirits architected their system to deliver a better search and ordering experience, plus how they centrally manage all Elasticsearch deployments on Elastic Cloud Enterprise.
Bi and AI updates in the Microsoft Data Platform stackIvan Donev
This document provides an overview and agenda for a presentation on new features in the Microsoft data platform universe including SQL Server, Azure, and Power BI, with a focus on business intelligence (BI) and artificial intelligence (AI).
The presentation covers new features in SQL Server 2019 for BI like calculation groups and dynamic formatting in Analysis Services tabular mode. It also highlights important updates in Azure including new serverless and hyperscale options for Azure SQL Database, updates to data ingestion and storage with Azure Data Factory v2 and Azure Data Lake Gen 2, and changes to data modeling, preparation, and serving capabilities in Azure SQL Data Warehouse.
The document concludes by discussing options for incorporating AI and machine learning into BI solutions using either
Brk3043 azure sql db intelligent cloud database for app developers - wash dcBob Ward
Make building and maintaining applications easier and more productive. With built-in intelligence that learns app patterns and adapts to maximize performance, reliability, and data protection, SQL Database is a cloud database built for developers. The session covers our most advanced features to-date including Threat Detection, auto-tuned performance and actionable recommendations across performance and security aspects. Case studies and live demos help you understand how choosing SQL Database will make a difference for your app and your company.
A Quick Guide to Sql Server Availability GroupsPio Balistoy
This document provides an overview of SQL Server availability groups. It defines availability groups as a high-availability and disaster recovery feature that allows failover between replicas of a group of databases. Key components include the primary replica that serves read-write transactions, secondary replicas that serve as failover targets, and an availability group listener that direct clients to the current primary replica. The document discusses advantages over previous solutions like database mirroring, as well as some compatibility limitations and administrative considerations.
Azure Database Services for MySQL PostgreSQL and MariaDBNicholas Vossburg
This document summarizes the Azure Database platform for relational databases. It discusses the different service tiers for databases including Basic, General Purpose, and Memory Optimized. It covers security features, high availability, scaling capabilities, backups and monitoring. Methods for migrating databases to Azure like native commands, migration wizards, and replication are also summarized. Best practices for achieving performance are outlined related to network latency, storage, and CPU.
Azure SQL - MySQL, PostGreSQL, SQL on Azure.pdfGeorge Walters
Azure SQL - MySQL, PostGreSQL, SQL on Azure! This presentation helps you understand operational databases for open source and SQL on Linux variations for the Microsoft Azure cloud. Microsoft Azure allows for historically linux-based databases to be fully supported in platform as a service on Azure. This reduces operational overhead, and allows you to innovate faster. There is tremendous opportunity in every industry and organization for Data and AI powered Digital Transformation to accelerate transformative business growth and unlock savings. Digital Transformation entails re-imagining the use of technology and data to innovate intelligent applications that transform products, customer experiences, employee productivity, and operations efficiencies.
Data and AI are the oxygen to nourish and grow transformative business outcomes with digital investments. To maximize the impact of their digital transformation investments, organizations must also evolve their Data and AI strategy and investments.
Data modernization is the path drives meaningful business transformation in stages, as you evolve in your data maturity.
Looking at your current data estate, how would you position your organization if you’d have to think of your business strategies today?
How are you doing reporting?
Are you running both relational and non-relational databases?
Do you have any open-source technologies supporting your data estate?
How do you do reporting?
Do you see your business as having a more reactive approach to leveraging data for faster informed decisions, informative or predictive?
What are your goals for the mid and long term?
Azure Databases for PostgreSQL, MySQL and MariaDBrockplace
Azure provides fully managed database services for PostgreSQL, MySQL and MariaDB. These database services provide high availability, security, backups and restore capabilities out of the box. They can automatically scale compute and storage resources on demand. Migrations from on-premises or other cloud databases to Azure database services can be done with minimal downtime using available migration tools.
Azure SQL Database & Azure SQL Data WarehouseMohamed Tawfik
This document provides an overview of Microsoft Azure Data Services and Azure SQL Database. It discusses Infrastructure as a Service (IaaS) versus Platform as a Service (PaaS), and highlights the opportunities in the Linux database market. It also discusses Microsoft's commitment to customer choice and partnerships with companies like Red Hat. The remainder of the document focuses on features of Azure SQL Database, including an overview of the DTU and vCore purchasing models, managed instances, backup and recovery, high availability options, elastic scalability, and data sync capabilities.
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 document provides an overview and summary of the author's background and expertise. It states that the author has over 30 years of experience in IT working on many BI and data warehouse projects. It also lists that the author has experience as a developer, DBA, architect, and consultant. It provides certifications held and publications authored as well as noting previous recognition as an SQL Server MVP.
[db tech showcase OSS 2017] Azure Database for MySQL / PostgreSQL by 日本マイクロソフ...Insight Technology, Inc.
This document announces new Azure database services for MySQL and PostgreSQL. The services provide fully managed database instances with high availability, scalability, and compatibility with existing tools. The services are available in public preview across 11 Azure regions, with basic, standard, and premium performance tiers offering different levels of IOPS, memory, and storage capacity. Migration from on-premises databases to the new managed database services can be done using common tools like mysqldump and pg_dump.
Latest PaaS and IaaS deployments
PostgreSQL is one of the most used open-source relational databases in the market, and organizations can easily pair it with Microsoft Azure technologies to gain the flexibility and reliability benefits of the cloud. With its beginnings in the 1980s, PostgreSQL has many features for handling structured and unstructured data, complex queries, and transactional or reporting applications. By choosing to run PostgreSQL on Azure, customers can enjoy the benefits of Azure, such as a myriad of VM choices, storage configurations, scalability, monitoring tools, security, and high availability options.
This document addresses deployment best practices for Azure Database for PostgreSQL – Flexible Server and PostgreSQL on Azure infrastructure as a service (IaaS). It covers VM selection, storage considerations, simple deployment procedures, monitoring and maintenance, database configuration considerations, and backup and restore.
SQL Server Lift & Shift on Azure - SQL Saturday 921Marco Obinu
This document discusses options for migrating SQL Server databases to Azure, specifically focusing on lift and shift strategies using Azure SQL Database or SQL virtual machines. It provides an overview of the different Azure SQL offerings including databases, managed instances, and SQL VMs. The key advantages and use cases of each option are outlined. The document also addresses some common myths around choosing virtual machines over Azure SQL Database, noting that the database service offers fully managed high availability, security, backups and more without ongoing maintenance.
Build modern and intelligent applications using Azure Database for PostgreSQLMicrosoft Tech Community
This document summarizes the key features and benefits of Azure Database for PostgreSQL:
1) It offers more choices and full integration with Azure services through automatic updates, security fixes, and access to innovations in AI and analytics.
2) The database can elastically scale performance to meet spikes in demand and scale compute and storage independently with high availability and disaster recovery with a single click.
3) It provides secure and compliant hosting of data with certifications and compliance across key standards and regulations.
A Tour of Azure SQL Databases (NOVA SQL UG 2020)Timothy McAliley
This document provides information about upcoming webinars on Azure SQL and AI/ML hosted by various user groups. It lists the experience of the person running the user groups and provides an agenda for upcoming webinars in May and June 2020 that will cover various Azure database and analytics services. It also includes references and links for further learning about Azure SQL Database, Azure SQL Managed Instance, high availability and disaster recovery options.
Technical session on Databases as Service in Azure
Technical session - Azure SQL DB on Dec 20, 2020
https://youtu.be/Cl4IDpc_0yc
Technical session - 2 on Azure SQL DB - Dec 27, 2020
https://youtu.be/_4lZ54eI3F0
Technical session on Azure Cosmos DB -Dec 27, 2020
https://youtu.be/rtDwX1K_64k
Latest PaaS and IaaS deployments
MySQL™ is one of the most used open-source relational databases in the market, and organizations can easily pair it with Microsoft Azure technologies to gain the flexibility and reliability benefits of the cloud. With its beginnings in the 1990s, MySQL has many features for handling structured and unstructured data, complex queries, and transactional or reporting applications. By choosing to run MySQL on Azure, customers can enjoy a myriad of VM choices, storage configurations, monitoring tools, security, and high availability (HA) options.
This document addresses best practices for deploying Azure Database for MySQL – Flexible Server and MySQL on Azure infrastructure as a service (IaaS). It covers VM selection, deployment procedures, monitoring and maintenance, storage considerations, database configuration considerations, and backup and restore.
This document provides an overview of Azure SQL DB environments. It discusses the different types of cloud platforms including IaaS, PaaS and DBaaS. It summarizes the key features and benefits of Azure SQL DB including automatic backups, geo-replication for disaster recovery, and elastic pools for reducing costs. The document also covers pricing models, performance monitoring, automatic tuning capabilities, and security features of Azure SQL DB.
Tour de France Azure PaaS 3/7 Stocker des informationsAlex Danvy
3 possibilités de stocker des données dans Azure :
- Evolution : Le compte de stockage est plus que jamais essentiel. Bien que basic, il ne cesse d'évoluer.
- Innovation : Le Cloud permet d'imaginer de nouveaux scénarios mettant à rude épreuve les technologies de stockage. Il faut parfois en inventer de nouvelles : Cosmos DB
- Open Source : S'il est possible de faire fonctionner les solutions Open Source dans des VM, celle n'apporte que très rarement de la valeur. Autant en laisser la gestion au fournisseur de Cloud. MySQL, PostegreSQL et Maria DB sont maintenant disponibles sous la forme de service managé.
Azure SQL Database (SQL DB) is a database-as-a-service (DBaaS) that provides nearly full T-SQL compatibility so you can gain tons of benefits for new databases or by moving your existing databases to the cloud. Those benefits include provisioning in minutes, built-in high availability and disaster recovery, predictable performance levels, instant scaling, and reduced overhead. And gone will be the days of getting a call at 3am because of a hardware failure. If you want to make your life easier, this is the presentation for you.
SQL PASS 2017 - Building one million predictions per second using SQL Server ...Amit Banerjee
Using the power of OLTP and data transformation in SQL 2016 and advanced analytics in Microsoft R Server, various industries that really push the boundary of processing higher number of transaction per second (tps) for different use cases. In this talk, we will walk through the use case of predicting loan charge off (loan default) rate, architecture configuration that enable this use case, and rich visual dashboard that allow customer to do what-if analysis. Attend this session to find out how SQL + R allows you to build an “intelligent data warehouse”.
This is a talk which builds on my previous talk on how SQL Server 2016 helps build an intelligent data warehouse.
Building 1 million predictions per second using SQL-RAmit Banerjee
Using the power of OLTP and data transformation in SQL 2016 and advanced analytics in Microsoft R Server, various industries really push the boundary of processing higher number of transaction per second (tps) for different use cases. In this talk, we walked through the use case of predicting loan charge off (loan default) rate, architecture configuration that enable this use case, and rich visual dashboard that allow customer to do what-if analysis. Find out how SQL + R allows you to build an “intelligent datawarehouse”.
Troubleshooting common scenarios with Always On - A Dress RehearsalAmit Banerjee
Two of the most common issues that Microsoft Support is contacted related to Always On Availability Groups are associated with Latency and Failovers. During this session, we will demonstrate walkthroughs for latency analysis and failover root cause using enhancements in SQL Server and Management Studio. After this session, you will be able to troubleshoot such issues easily, quickly and efficiently.
Enhancements to High Availability, Disaster Recovery and ReplicationAmit Banerjee
SQL Server 2012 Service Pack 3, SQL Server 2014 Service Pack 2 and SQL Server 2016 bring about a number of enhancements to Always On Availability Groups and Replication. Join us to understand the enhancements available which will make your SQL Server instances work better if you have a dependency on Always On or Replication. We have enhancements for various scenarios like diagnostics, replicating between an on-premise SQL Server instance and AzureDB and troubleshooting common issues.
Recent changes to security compliance is driving the initiative in various IT environments to disable all security protocols apart from TLS 1.2. This has wide ranging impact on SQL Server installations from startup failures to connectivity issues. In this session, we will talk about the changes available in SQL Server 2008 and above to support TLS 1.2 and the changes required on the server and SQL Server configuration to support TLS 1.2.
All the script samples are available on GitHub at https://github.com/Microsoft/tigertoolbox/tree/master/tls1.2
Amit Banerjee has worked as a Senior Program Manager for SQL Server for nearly a decade, focusing on high availability and replication. He was previously part of the SQL Escalation Services and Premier Field Engineering teams at Microsoft and speaks regularly at SQL conferences. In addition to his work on supportability tools for SQL Server, he co-authored the book "Professional SQL Server 2012: Internals and Troubleshooting" and runs the blog TroubleshootingSQL.com.
Always On Availability Group Troubleshooting Ninja Amit Banerjee
SQL BITS Presentation
Session Objectives:
1.Troubleshoot failovers in your Availability Group easily
2.Determine the reason for connectivity loss and timeouts
3.Understand which part of your topology is the reason for latency
Debugging made easier with extended eventsAmit Banerjee
SQL BITS presentation
Session Objectives:
1.Understand the diagnostics enhancements available in SQL Server database engine in SQL Server 2012 Service Pack 3 and above
2.Leverage the diagnostics to troubleshoot and mitigate issues quickly in mission-critical environments
3.Simplify troubleshooting experience for common SQL Server scenarios
In this PASS VC PowerShell session, I had discussed about some best practice checks which can be automated for SQL Server instances running on your on-premise data centers and on Azure Virtual Machines.
All the scripts are available on https://github.com/amitmsft/SqlOnAzureVM
SQL Saturday 511 - Troubleshooting made easier using extended eventsAmit Banerjee
Extended Events in SQL Server provides a huge opportunity to debug and analyze complex problems with ease. I had presented this session at SQL Saturday 511 - Redmond to show the diagnostics enhancements available in SQL Server database engine in SQL Server 2012 Service Pack 3 and above. You will be able to leverage the diagnostics to troubleshoot and mitigate issues quickly in mission-critical environments and simplify troubleshooting experience for common SQL Server scenarios
This document summarizes a presentation about troubleshooting slow queries using Query Store, Live Query Statistics, and Plan Comparison. The presenter is Amit Banerjee, a Senior Program Manager on the Microsoft SQL Server team focusing on HADR and Replication. The presentation covers how Query Store can help find and fix plan regressions and identify top resource consumers. It also demonstrates Live Query Statistics and Plan Comparison tools.
Performance Demystified for SQL Server on Azure Virtual MachinesAmit Banerjee
The slide deck for the session at TechEd which gives an overview of how to harness the power of Microsoft Azure Virtual Machines for SQL Server database. A few tips and tricks is all it requires to keep a SQL Server database healthy on an Azure Virtual Machine. What’s more, we will even slip in few tricks to automate the entire deployment with the performance best practices enabled.
Backup enhancements with SQL Server 2014Amit Banerjee
The presentation that I had used at the SQL Bangalore UG meeting for introducing new enhancements in SQL Server 2014 for Backup and Restore. I talked about three new concepts: Backup to URL, Encrypted Backups and Managed Backups
Troubleshooting SQL Server using Power Pivot and Power ViewAmit Banerjee
The presentation used at SQLBangalore User Group's Annual Day event at Bangalore to present on the topic "Troubleshooting SQL Server using PowerPivot and PowerView". This session talked about leveraging Power View and Power Pivot for monitoring SQL Server related issues.
The presentation used during my session at the SQL Bangalore UG Meeting on 24th August, 2013. The session talked about creating visualizations for monitoring the SQL Server instance using Power Pivot and Power View features in Excel 2013.
The document summarizes a system health session presented by Amit Banerjee. It introduces Amit as a senior engineer at Microsoft with expertise in databases. It then describes what system health sessions are, how they can help reduce analysis time and build visualizations from existing data. The rest of the document details what specific types of events and errors the system health session tracks to monitor instance health. It concludes by providing resources for learning more about system health sessions.
Microsoft TechEd India 2012 Backup RestoreAmit Banerjee
This was the slide deck that I had used for my presentation on the topic “Lesser Known facts of SQL Server Backup and Restore” at Microsoft India TechEd 2012.
Jira Administration Training – Day 1 : IntroductionRavi Teja
This presentation covers the basics of Jira for beginners. Learn how Jira works, its key features, project types, issue types, and user roles. Perfect for anyone new to Jira or preparing for Jira Admin roles.
Your startup on AWS - How to architect and maintain a Lean and Mean accountangelo60207
Prevent infrastructure costs from becoming a significant line item on your startup’s budget! Serial entrepreneur and software architect Angelo Mandato will share his experience with AWS Activate (startup credits from AWS) and knowledge on how to architect a lean and mean AWS account ideal for budget minded and bootstrapped startups. In this session you will learn how to manage a production ready AWS account capable of scaling as your startup grows for less than $100/month before credits. We will discuss AWS Budgets, Cost Explorer, architect priorities, and the importance of having flexible, optimized Infrastructure as Code. We will wrap everything up discussing opportunities where to save with AWS services such as S3, EC2, Load Balancers, Lambda Functions, RDS, and many others.
Bridging the divide: A conversation on tariffs today in the book industry - T...BookNet Canada
A collaboration-focused conversation on the recently imposed US and Canadian tariffs where speakers shared insights into the current legislative landscape, ongoing advocacy efforts, and recommended next steps. This event was presented in partnership with the Book Industry Study Group.
Link to accompanying resource: https://bnctechforum.ca/sessions/bridging-the-divide-a-conversation-on-tariffs-today-in-the-book-industry/
Presented by BookNet Canada and the Book Industry Study Group on May 29, 2025 with support from the Department of Canadian Heritage.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/state-space-models-vs-transformers-for-ultra-low-power-edge-ai-a-presentation-from-brainchip/
Tony Lewis, Chief Technology Officer at BrainChip, presents the “State-space Models vs. Transformers for Ultra-low-power Edge AI” tutorial at the May 2025 Embedded Vision Summit.
At the embedded edge, choices of language model architectures have profound implications on the ability to meet demanding performance, latency and energy efficiency requirements. In this presentation, Lewis contrasts state-space models (SSMs) with transformers for use in this constrained regime. While transformers rely on a read-write key-value cache, SSMs can be constructed as read-only architectures, enabling the use of novel memory types and reducing power consumption. Furthermore, SSMs require significantly fewer multiply-accumulate units—drastically reducing compute energy and chip area.
New techniques enable distillation-based migration from transformer models such as Llama to SSMs without major performance loss. In latency-sensitive applications, techniques such as precomputing input sequences allow SSMs to achieve sub-100 ms time-to-first-token, enabling real-time interactivity. Lewis presents a detailed side-by-side comparison of these architectures, outlining their trade-offs and opportunities at the extreme edge.
TrustArc Webinar - 2025 Global Privacy SurveyTrustArc
How does your privacy program compare to your peers? What challenges are privacy teams tackling and prioritizing in 2025?
In the sixth annual Global Privacy Benchmarks Survey, we asked global privacy professionals and business executives to share their perspectives on privacy inside and outside their organizations. The annual report provides a 360-degree view of various industries' priorities, attitudes, and trends. See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar features an expert panel discussion and data-driven insights to help you navigate the shifting privacy landscape. Whether you are a privacy officer, legal professional, compliance specialist, or security expert, this session will provide actionable takeaways to strengthen your privacy strategy.
This webinar will review:
- The emerging trends in data protection, compliance, and risk
- The top challenges for privacy leaders, practitioners, and organizations in 2025
- The impact of evolving regulations and the crossroads with new technology, like AI
Predictions for the future of privacy in 2025 and beyond
How Advanced Environmental Detection Is Revolutionizing Oil & Gas Safety.pdfRejig Digital
Unlock the future of oil & gas safety with advanced environmental detection technologies that transform hazard monitoring and risk management. This presentation explores cutting-edge innovations that enhance workplace safety, protect critical assets, and ensure regulatory compliance in high-risk environments.
🔍 What You’ll Learn:
✅ How advanced sensors detect environmental threats in real-time for proactive hazard prevention
🔧 Integration of IoT and AI to enable rapid response and minimize incident impact
📡 Enhancing workforce protection through continuous monitoring and data-driven safety protocols
💡 Case studies highlighting successful deployment of environmental detection systems in oil & gas operations
Ideal for safety managers, operations leaders, and technology innovators in the oil & gas industry, this presentation offers practical insights and strategies to revolutionize safety standards and boost operational resilience.
👉 Learn more: https://www.rejigdigital.com/blog/continuous-monitoring-prevent-blowouts-well-control-issues/
Domino IQ – Was Sie erwartet, erste Schritte und Anwendungsfällepanagenda
Webinar Recording: https://www.panagenda.com/webinars/domino-iq-was-sie-erwartet-erste-schritte-und-anwendungsfalle/
HCL Domino iQ Server – Vom Ideenportal zur implementierten Funktion. Entdecken Sie, was es ist, was es nicht ist, und erkunden Sie die Chancen und Herausforderungen, die es bietet.
Wichtige Erkenntnisse
- Was sind Large Language Models (LLMs) und wie stehen sie im Zusammenhang mit Domino iQ
- Wesentliche Voraussetzungen für die Bereitstellung des Domino iQ Servers
- Schritt-für-Schritt-Anleitung zur Einrichtung Ihres Domino iQ Servers
- Teilen und diskutieren Sie Gedanken und Ideen, um das Potenzial von Domino iQ zu maximieren
Mastering AI Workflows with FME - Peak of Data & AI 2025Safe Software
Harness the full potential of AI with FME: From creating high-quality training data to optimizing models and utilizing results, FME supports every step of your AI workflow. Seamlessly integrate a wide range of models, including those for data enhancement, forecasting, image and object recognition, and large language models. Customize AI models to meet your exact needs with FME’s powerful tools for training, optimization, and seamless integration
ELNL2025 - Unlocking the Power of Sensitivity Labels - A Comprehensive Guide....Jasper Oosterveld
Sensitivity labels, powered by Microsoft Purview Information Protection, serve as the foundation for classifying and protecting your sensitive data within Microsoft 365. Their importance extends beyond classification and play a crucial role in enforcing governance policies across your Microsoft 365 environment. Join me, a Data Security Consultant and Microsoft MVP, as I share practical tips and tricks to get the full potential of sensitivity labels. I discuss sensitive information types, automatic labeling, and seamless integration with Data Loss Prevention, Teams Premium, and Microsoft 365 Copilot.
6th Power Grid Model Meetup
Join the Power Grid Model community for an exciting day of sharing experiences, learning from each other, planning, and collaborating.
This hybrid in-person/online event will include a full day agenda, with the opportunity to socialize afterwards for in-person attendees.
If you have a hackathon proposal, tell us when you register!
About Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
Discover 7 best practices for Salesforce Data Cloud to clean, integrate, secure, and scale data for smarter decisions and improved customer experiences.
מכונות CNC קידוח אנכיות הן הבחירה הנכונה והטובה ביותר לקידוח ארונות וארגזים לייצור רהיטים. החלק נוסע לאורך ציר ה-x באמצעות ציר דיגיטלי מדויק, ותפוס ע"י צבת מכנית, כך שאין צורך לבצע setup (התאמות) לגדלים שונים של חלקים.
Down the Rabbit Hole – Solving 5 Training RoadblocksRustici Software
Feeling stuck in the Matrix of your training technologies? You’re not alone. Managing your training catalog, wrangling LMSs and delivering content across different tools and audiences can feel like dodging digital bullets. At some point, you hit a fork in the road: Keep patching things up as issues pop up… or follow the rabbit hole to the root of the problems.
Good news, we’ve already been down that rabbit hole. Peter Overton and Cameron Gray of Rustici Software are here to share what we found. In this webinar, we’ll break down 5 training roadblocks in delivery and management and show you how they’re easier to fix than you might think.
National Fuels Treatments Initiative: Building a Seamless Map of Hazardous Fu...Safe Software
The National Fuels Treatments Initiative (NFT) is transforming wildfire mitigation by creating a standardized map of nationwide fuels treatment locations across all land ownerships in the United States. While existing state and federal systems capture this data in diverse formats, NFT bridges these gaps, delivering the first truly integrated national view. This dataset will be used to measure the implementation of the National Cohesive Wildland Strategy and demonstrate the positive impact of collective investments in hazardous fuels reduction nationwide. In Phase 1, we developed an ETL pipeline template in FME Form, leveraging a schema-agnostic workflow with dynamic feature handling intended for fast roll-out and light maintenance. This was key as the initiative scaled from a few to over fifty contributors nationwide. By directly pulling from agency data stores, oftentimes ArcGIS Feature Services, NFT preserves existing structures, minimizing preparation needs. External mapping tables ensure consistent attribute and domain alignment, while robust change detection processes keep data current and actionable. Now in Phase 2, we’re migrating pipelines to FME Flow to take advantage of advanced scheduling, monitoring dashboards, and automated notifications to streamline operations. Join us to explore how this initiative exemplifies the power of technology, blending FME, ArcGIS Online, and AWS to solve a national business problem with a scalable, automated solution.
4. Provision in minutes with built-in high availability
Scale on the fly with virtually no application
downtime
Security out-of-the-box to protect data at rest
and in-motion
Automatic backups with storage management
for recovery to any point up to 35 days
Continue to use same tools, drivers and libraries
Choices that enable you to focus on your app
5. Automatic patching
Metrics with historical data for 30 days
Alerting on metrics
Access to server logs for 7 days
Customize database engine parameters
With simple and inclusive pay-as-you-go pricing
6. // // Flexible
PowerBI,AppServices,DataFactory,
Analytics,ML,Cognitive,Bot…
Global Azure with 38 Regions
Azure Compute
SQL Data
Warehouse
Azure Storage
SQL Database MySQLPREVIEW PostgreSQLPREVIEW
Flexible: On-demand scaling, Resource governance
Trusted: HA/DR, Backup/Restore, Security, Audit, Isolation
Intelligent: Advisors, Tuning, Monitoring
Database
Services
Platform
7. Azure
Azure Database for MySQL and
PostgreSQL
• Logical, not bound to server instance
• Connection endpoint for MySQL or
PostgreSQL server.
• Can create one to many user databases.
• Pinned to a region
• Policy scope, e.g. firewall rules, recovery,
monitoring and management.
8. Protect data
• Built-in encryption for data
and backups with AES 256 bit.
Security built in
Access Control
• Secure SSL connectivity
• Server firewall rules
Identity
• Native authentication
10. Pricing tiers and performance
Workloads with light
compute needs and
variable IO perf
Ideal for most business
workloads; offers range of
scalable compute
Recommended for apps
requiring scalable compute
and low latency IOPS
PostgreSQL 9.5, 9.6; MySQL 5.6, 5.7
Portal, Azure CLI and REST APIs
Programming
Surface
Manageability
12. Protection from accidental data deletion or alteration
Automatic backups
Full server backup
Backups and logs retained for 35 days (Basic
7 days)
Restore to any point in time within
retention period
Always creates a new server
Restore from backup
Azure Storage
SQL Database backups
sabcp01bl21
Azure Storage
PostgreSQL/MySQL
server backups
13. • Integrated with Azure Monitor
service
• One-minute frequency
• Free 30 days of historical
metrics
14. • Integrated with Azure Monitor
service
• One-minute frequency
• Free 30 days of historical
metrics
• Take actions on metrics by
configuring alerting rules
• Consume or query metrics via
Portal, REST APIs or Azure CLIs
20. Azure Database for PostgreSQL Azure Database for MySQL
Azure Database for PostgreSQL Azure Database for MySQL
MSDN StackOverflow MSDN StackOverflow
User Voice
User Voice
https://github.com/Azure/azure-postgresql
#6: Azure managed database services has re-defined the managed service for app developers taking most of the complex considerations out and having developers focus on what they do best – create rich and intelligent apps.
#8: Let me take some time to go through this at a little more depth. The Azure RDMS platform is intelligent, secure and flexible. Built on top of the scalable Azure compute, storage fabric, and the Azure cloud that is available in most regions than any other clouds, this platform has been serving SQLDB and SQLDW services for many years with several key innovations. It is this fabric, that delivers capabilities such as built-in HA, backup/restore services, full isolation for each databases with resource governance, monitoring and performance tuning and advisors features. Now this same platform is extended to bring two additional database managed services i.e, MySQL and PostgreSQL. We are using the community version of MySQL and PostgreSQL database engines, bringing in more choices for app developers to choose their favorite database for app development. All these services are integrated with the other data services and app services to deliver seamless app development and deployment experience.
Managed cloud database built for application developers that need choice
Scale on-the-fly without application down time
Built-in HA and security that requires no additional setup or configuration
Use native tools, drivers and libraries
#9: Any one that has used Azure is very familiar with these terminologies. You have an Azure account, a subscription and group related services for a project into a resource group. In Azure Database for PostgreSQL, the resource is a server – it is a logical service and the connection end point to your application. This logical server is pinned to a given region. You can create 1 to many databases within this logical server. The resources are all shared across databases within the same logical server. Further, all management operations is at this logical server level. For example, monitoring, backups and restore, security, etc.