Databases

A few months ago, I shared best practices for alerting on metrics with Azure Database for PostgreSQL.

When you are working with a database, or any other kind of software, your experience is enhanced or hindered by the tools you use to interact with it.

We’re excited to announce a partnership with Timescale that introduces support for TimescaleDB on Azure Database for PostgreSQL for customers building IoT and time-series workloads.

How do you back up your SQL Servers today? You could be using backup software that require you to manage backup servers, agents, and storage, or you could be writing elaborate custom scripts which need you to manage the backups on each server individually.

Data Integration is complex with many moving parts. It helps organizations to combine data and complex business processes in hybrid data environments. Failures are very common in data integration workflows.

For read-heavy workloads that you are looking to scale out, you can use read replicas, which are now generally available to all Azure Database for MySQL users.

Ensure security and limit access to your MariaDB server with the virtual network (VNet) service endpoints now generally available for Azure Database for MariaDB.

There are numerous IoT use cases in different industries. The most common categories of IoT use cases include predictive maintenance, connected vehicles, anomaly detection, asset monitoring, and many others.

Azure Database for PostgreSQL provides a fully managed, enterprise-ready community PostgreSQL database as a service. The PostgreSQL Community edition helps you easily migrate existing apps to the cloud or develop cloud-native applications using languages and frameworks of your choice.

Cloud data integration helps organizations integrate data of various forms and unify complex processes in a hybrid data environment. A number of times different organizations have similar data integration needs and require repeat business processes.

Today, we’re releasing the Azure API for FHIR which enables rapid exchange of data according to the HL7 FHIR specification and is backed by a fully managed Platform-as-a Service (PaaS) offering in the cloud.

This blog is a continuation of a series of blog posts to share best practices for improving performance and scale when using Azure Database for PostgreSQL service.