Operations | Monitoring | ITSM | DevOps | Cloud

If you are not familiar with CloudFormation, an easy way to define it is AWS CloudFormation is an AWS service that uses template files to automate the setup of resources. It can also be described as an infrastructure automation or Infrastructure-as-Code (IaC) tool. You can use CloudFormation to automate the configuration of workloads that run on the most popular AWS services, including their managed Kubernetes offering, the Elastic Kubernetes Service, or EKS.

The majority of engineers know that a minor misconfiguration might lead to some big troubles. Usually, we tend to forget the importance of that tense when we are configuring a new tool or a new service, as our focus is initially to make the tool functional and to evaluate if it fits our needs. Mattermost Cloud hosts thousands of workspaces which each one needs to have a different database backend, as in Mattermost we think that isolation is one very important aspect in our security guidelines.

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Microsoft Azure SQL Database is a platform-as-a-service (PaaS) database offering for modern cloud applications. It’s a fully managed service that runs on the latest version of the SQL Server database engine, enabling you to create highly available and performant database instances without needing to maintain hardware upgrades, patches, or backups.

In Part 1 of this series, we discussed key metrics for monitoring Microsoft Azure SQL databases. We also looked at how your database resource and audit logs complement metrics to provide more insight into database performance, activity, and security. In this post, we’ll show you how to collect metrics and logs from your database instances and monitor them with Azure’s monitoring and reporting tools.

In Part 2 of this series, we showed you how to monitor Azure SQL Database metrics and logs using the Azure platform. In this post, we will look at how you can use Datadog to monitor your Azure SQL databases alongside other technologies in your infrastructure. Datadog provides turn-key integrations for Azure along with more than 500 other technologies, enabling you to track long-term performance trends across all systems in your infrastructure, not just your SQL databases.