Whether you’re investigating memory leaks or debugging errors, Java Virtual Machine (JVM) runtime metrics provide detailed context for troubleshooting application performance issues. For example, if you see a spike in application latency, correlating request traces with Java runtime metrics can help you determine if the bottleneck is the JVM (e.g., inefficient garbage collection) or a code-level issue.
Akamai is a leading provider of content delivery network solutions around the world, handling many millions of HTTP requests per second. By Akamai’s estimates, its CDN platform delivers 15 to 30 percent of global web traffic. If you’re using Akamai to accelerate and protect the delivery of content to your users, we are pleased to announce that you can now use Datadog to monitor the utilization and performance of your CDN.
We’re excited to announce a new feature that enables you to install updates to your Datadog Agent integrations as soon as they are released. That means that you can make use of new or updated integrations right away, without waiting for a full release of the Datadog Agent.
CoreDNS is a DNS server that can also provide service discovery for microservice-based applications. It’s the default DNS server in Kubernetes, providing name resolution and service discovery for the services operating in the cluster. CoreDNS is easily customizable, so you can define how it should act on each request beyond simply executing a DNS lookup.
Canary releases are a powerful technique for updating large-scale production environments safely. The idea is simple: deploy the update to a subset of your environment, pause and monitor to ensure everything is healthy, and then deploy to the next subset. But implementing these staged releases can be challenging, as you’ll need to retool your deployment pipeline and build programmatic health checks to validate the success of each canary release.
Last month, members of the Datadog community convened in Seattle for our customer summit. There, they discussed new developments in monitoring dynamic infrastructure and applications, learned about the latest updates to the Datadog platform, and shared tips, tools, and techniques from their own experiences.
Hyper-V is a hardware virtualization platform used to create and run virtual machines on Windows host systems. Hyper-V allocates resources from the physical hosts it runs on to the virtual machines it creates. If those resources are spread too thin, virtual machines may encounter slow performance and startup failures. With our new integration you can monitor the health of every layer of your Hyper-V stack: physical hosts, virtual machines, and all of the applications and services running on them.
PHP logs are not just about errors. You can use logs to track the performance of API calls and function calls, or to count the occurrence of significant events in your applications (e.g., logins, signups, and downloads). Whether you’re operating a microservices architecture or a monolith, implementing a comprehensive PHP logging strategy will allow you to track critical changes in your applications and optimize their performance.
We’re thrilled to share that Datadog has been recognized by Forrester Research as a Leader in its report, The Forrester Wave™: Intelligent Application And Service Monitoring, Q2 2019. Unlike previous industry analyst reports, which focused specifically on application performance or IT operations, this report gives a nod to the changing landscape, where customers want to have a unified view across all components of their software for faster problem detection and diagnosis.
Twistlock is a platform for managing security and compliance within various environments, including virtual machines, containers, and serverless functions. Ensuring legal and technical security is just as valuable as preventing outages and errors, which is why Datadog is delighted to announce a new integration with Twistlock. With this integration, you can track security and compliance risks within the same platform as the metrics, traces, and logs you already collect with Datadog.
