Build modern and intelligent applications using Azure Database for PostgreSQL
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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.
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Build modern and intelligent applications using Azure Database for PostgreSQL
- 4. More choices and full integration into Azure’s ecosystem and services Managed community PostgreSQL Integrated Easy Lift and Shift Enterprise Ready Elastic scaling with built-in high availability Secure and compliant Industry-leading global reach Developer productivity
- 5. Focus on your apps by leaving the management and patching of your infrastructure and database to an enterprise-ready cloud service Build on your terms with a platform that supports your application development needs and offers a fully integrated Azure experience. - Automatic updates - Automatic security fixes - Automatic new feature updates My
- 6. Stay up and running without the need for additional replicas Meet the most demanding spikes by elastically scaling performance Scale compute and storage independently Rely on easy and cost effective disaster recovery set up with a single click
- 7. Protect your data with up-to-date security and compliance features with the Azure IP Advantage. SOC2 - Compliant ISO 27001:2013 - Compliant ISO 27018:2014 -Compliant CSA STAR Certification - Compliant HIPAA / HITECH Act – Compliant PCI DSS Level 1 – Compliant SOC 2 Type 2 CSA STAR Certification Level 1
- 9. Demo Rachel
- 10. Get your app up and running with the built-in connection to App Service and other Azure services Take advantage of industry- leading Azure innovations in AI and analytics to improve your app My
- 11. Managed service
- 13. Elastically scale your compute up or down Independently scale up storage as needed seamlessly You don’t need replicas if you don’t need it! Postgres:5432 Azure Storage PostgreSQL Server PostgreSQL Server
- 14. Microsoft Azure Azure PostreSQL Database Internet Gateway Native Authentication EDGE AND IDENTITY PROTECTIO N AZURE EDGE PROTECTION NATIVE AUTHENTICATION 1 1 2 2 3 3 A connection is never directly to a database instance. It must first pass through Azure edge network protection. A gateway services the connection request next. Native PostgreSQL authentication authenticates the connection request.
- 15. Control access Server firewall rules Allow access to Azure services VNET Service End Point (preview) Protect data At-rest: Built-in encryption for data and backups In motion: Secure SSL connection Security features Identity Native database engine authentication
- 16. Managed service walk - through
- 17. Best Practices for optimal performance
- 18. Network latency • Measure with SELECT 1 tests from the client using psql • Average should be < 2msec Best practice: • Ensure application and database server is in the same region, created within same resource group • Configure VM (hosting the application) with accelerated networking; Learn more here: https://docs.microsoft.com/en-us/azure/virtual-network/create-vm-accelerated-networking-cli
- 19. Storage • Monitor “IO Percent” and “Storage Percent” using Azure portal or Azure CLI • Use postgres (pg_stat_statements) to determine queries taking longer time Best practice: • Evaluate/tune indexes and queries as necessary. • Ensure adequate IOPS is provisioned for the instance. IOPS scale at approximately 3 IOPS per GB. Rule of thumb is to not exceed 80% of available IOPS (IO Percent) on average. • Configure alerts on “IO Percent” and “Storage Percent” as necessary using Azure portal or CLI • Consider Memory Optimized tier
- 20. CPU • Monitor “CPU percent” using Azure portal or Azure CLI. • Use postgres (pg_stat_statements) to determine queries taking longer time • High CPU usage is not the only indicator of CPU bottleneck. Do you have single threaded app? Best practice: • Strongly recommend using General Purpose • Validate/tune indexes and queries as necessary • Ensure server log parameters are tuned for production workload • Tune database connections from the application. Use connection pooling or front end/ application caching (if suitable). Consider Memory Optimized. • Configure alerts on “CPU percent” as necessary using Azure portal or CLI
- 21. Postgres extensions (over 33 supported today)
- 22. How to bring your data?
- 23. • Seamlessly migrate on-premise databases at scale • Trust in a robust, resilient service for every migration scenario • Migrate multiple database sources to Azure • Experience minimum downtime for mission critical applications DMS PostgreSQL
- 24. What does minimum downtime in migration mean? Databases continue to stay live DMS performs initial load from source to target Subsequent new traffic will get replicated to target During application cutover – Stop the incoming traffic (small downtime) Wait for data to catch up on the target Update application connection string to point to Azure Done!
- 25. Migration considerations Sign up for DMS MySQL Private Preview – http://aka.ms/dmspreviewpage
- 26. Data Migration Service Demo PostgreSQL Migration Sign-up – http://aka.ms/dmspreviewpage