We are excited to announce a new partnership with Microsoft Azure, which has enabled us to build streamlined experiences for purchasing, configuring, and managing Datadog directly inside the Azure portal. This first-of-its-kind integration of a third-party service into a public cloud provider reduces the learning curve for using Datadog to monitor the health and performance of your applications in Azure—and sets you up for a successful cloud migration or modernization.

Engineering teams that build, scale, and manage cloud-based applications on AWS know that at some point in time, their applications and infrastructure will be under attack. But as applications expand and new features are added, securing the full scope of an AWS environment becomes an increasingly complex task. To add visibility and auditability, AWS CloudTrail tracks the who, what, where, and when of activity that occurs in your AWS environment and records this activity in the form of audit logs.

Tags are essential for aggregating and contextualizing monitoring data across your infrastructure; they enable you to monitor your entire system at a high level, drill down to individual services for more comprehensive analysis, and easily correlate data from every application component. Implementing a consistent and effective tag schema for your applications can be challenging, especially as they grow in complexity.

xMatters provides flexible, smart tools for incident response and management. With configurable workflows that bring together data from sources like Github, Jenkins, and Zendesk, you can automate crucial tasks and send enriched notifications to streamline team communications.

Health and performance issues are easier to understand—and to troubleshoot—when you can use tags to aggregate your data across many overlapping scopes. But while some scopes come directly from your infrastructure, others are constantly evolving to reflect the needs of your product or organization. You can only track your data effectively if you can define—and redefine—your scopes on the fly.

Kubernetes audit logs contain detailed information about every request to the Kubernetes API server and are critical to detecting misconfigurations and vulnerabilities in your clusters. But because even a small Kubernetes environment can rapidly generate lots of audit logs, it’s very difficult to manually analyze them.

AWS Step Functions is a service that abstracts distributed applications into state machines, with each state representing a component of an application. Not only does this automatically generate an architectural diagram of your application’s workflow, it also makes it straightforward to reorder your states as well as implement parallel execution, retries, and other tasks.