When you need to troubleshoot an issue in your Node.js application, logs provide information about the severity of the problem, as well as insights into its root cause. You can use logs to capture stack traces and other types of activity, and trace them back to specific session IDs, user IDs, request endpoints—anything that will help you efficiently monitor your application.

At Datadog, we’ve always been committed to ensuring that our libraries and software that run on your systems are open source. We believe that transparency into how we collect data and integrate with your applications is key for building trust.

Since it was released in 2015, the Serverless Framework has become the community-favorite way to manage and deploy serverless applications in the cloud. Similar to Terraform and CloudFormation, it lets you express infrastructure as code, making it easy to share and version-control your entire serverless environment.

Oracle’s Container Engine for Kubernetes (OKE) is a service that helps you deploy, manage, and scale Kubernetes clusters in the cloud. With OKE, organizations can build dynamic containerized applications by incorporating Kubernetes with services running on their Oracle Cloud Infrastructure. We’ve partnered with Oracle so that you can use the Datadog Agent to get comprehensive visibility into your Kubernetes clusters on Oracle Cloud Infrastructure.

Multi-line logs such as stack traces give you lots of very valuable information for debugging and troubleshooting application problems. But, as anyone who has tried knows, it can be a challenge to collect stack traces and other multi-line logs so that you can easily parse, search, and use them to identify problems. This is because, without proper configuration, log management services and tools do not treat multi-line logs as a single event.

Okta is a cloud-based identity management service that provides authentication and authorization tools for your organizations’ employees and users. You can use Okta to incorporate single sign-on, multi-factor authentication, and user management services right into your applications.

Collecting observability data like metrics, traces, and logs makes it much easier to identify bottlenecks and other performance problems in your .NET applications. When you need to troubleshoot a production incident, it’s especially important to be able to navigate all that data so you can find the source of the issue and enact a timely resolution.

Google Kubernetes Engine (GKE), a service on the Google Cloud Platform (GCP), is a hosted platform for running and orchestrating containerized applications. Similar to Amazon’s Elastic Container Service (ECS), GKE manages Docker containers deployed on a cluster of machines. However, unlike ECS, GKE uses Kubernetes, an increasingly popular open source orchestrator that can deploy, schedule, and scale containers on the fly.

Akamai mPulse is a real user monitoring (RUM) service that enables organizations to get deep visibility into end user experience across their websites or applications. With mPulse, businesses can collect high-granularity metrics directly from their users’ browsers, and then analyze that data to pinpoint slow resources (e.g., third-party scripts), track user engagement, and make decisions to improve the performance of their products.

As your environment grows in scale and complexity, finding faster ways to build rich dashboards and share strategic insights with the right team members becomes more important. To help you easily share data with anyone, anywhere, we are happy to announce that you can now copy and paste widgets within Datadog (across dashboards, Notebooks, and accounts)—and even in emails and other communication channels like Slack.