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.
Amazon’s Bottlerocket is a new Linux-based open-source operating system that’s designed with containers in mind. Bottlerocket is optimized and stripped down to only the essential software needed to run containers. You can apply updates to Bottlerocket in a single step, and roll them back instantly if necessary. And, because it’s open-source, you can customize the operating system to fit your specific needs.
Public sector organizations face a unique challenge when it comes to the cloud: how can they successfully migrate their operations while maintaining an air-tight, heavily regulated, massively distributed environment? To solve this problem, Amazon created the AWS GovCloud (US), two isolated Regions in the AWS ecosystem that are only accessible to US customers who meet strict security and compliance standards.
Running Kubernetes applications requires visibility into not only the overall performance of clusters but also the health of individual pods, deployments, and other resources that make up your environment. Datadog already integrates with your containerized environments and includes features like the Live Container view and the Container Map, enabling you to easily monitor Kubernetes and container runtime performance in real time and get deep visibility into clusters.
To complement distributed tracing, runtime metrics, log analytics, Synthetic Monitoring, and Real User Monitoring, we’ve made another addition to the application developer’s toolkit to make troubleshooting performance issues even faster and simpler. Continuous Profiler is an always-on, production code profiler that enables you to analyze code-level performance across your entire environment, with minimal overhead.
When your applications raise errors, you need a way to make sense of them so you can set priorities, start troubleshooting, and gauge the success of your efforts. Errors can appear within the thousands of browser sessions and backend hosts running your software, making it difficult to find meaning within the noise. This is especially true of frontend errors, where seemingly endless permutations of browser version, location, and other environmental details can make it hard to spot trends.
Testing within the CI/CD pipeline, also known as shift-left testing, is a devops best practice that enables agile teams to continually assess the viability of new features at every stage of the development process. Running tests early and often makes it easier to catch issues before they impact your users, reduce technical debt, and foster efficient, cross-team collaboration.
From gaming and social media to e-commerce and travel, mobile is reshaping the way businesses operate and engage with their customers. In an increasingly competitive market, ensuring your mobile applications stay highly performant and resilient will be critical in differentiating yourself from the crowd as well as avoiding uninstalls and poor app reviews.
The Datadog Partner Network (DPN) is a rapidly growing registry of hundreds of leaders in the cloud service industry who choose Datadog to meet their infrastructure-monitoring needs. Partners are well-acquainted with the more than 400 technology integrations available to Datadog customers, but with the huge diversity in technical stacks used by our customers, there’s always demand for more customization and flexibility.
