Operations | Monitoring | ITSM | DevOps | Cloud

September 2019

Integrate Alibaba's DingTalk with Datadog for faster troubleshooting

Real-time collaboration helps teams resolve issues quickly, which is crucial during outages when you don’t have a minute to lose. If your organization is using DingTalk, Alibaba’s platform for cross-team communication and collaboration, Datadog’s new integration lets you share and discuss annotated graphs on the fly and route alerts to your teams’ group chats so you can start troubleshooting issues without skipping a beat.

Datadog + New Relic: Monitor every layer of your stack

Application performance monitoring (APM) dovetails nicely with infrastructure monitoring, allowing you to monitor app performance and end-user satisfaction in context with the rest of your infrastructure. That’s why we unveiled Datadog APM to complement our infrastructure monitoring platform and provide full-stack observability.

Efficiently retrieve old logs with Datadog's Log Rehydration

Logs provide invaluable information about issues you need to troubleshoot. In some circumstances, that may mean that you have to look back at old logs. For example, you may be running a security audit and need to analyze months-old HTTP request logs for a list of specific IP addresses over a period of time. Or you might need to investigate why a scheduled service never occurred, or run an exhaustive postmortem on incidents that happened over a couple months but that you suspect are related.

How to collect, customize, and centralize Node.js logs

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.

Monitor your Lambda functions with Datadog's Serverless Framework plugin

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.

How to monitor Oracle's Kubernetes Engine with Datadog

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.

How to collect and manage all of your multi-line logs

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.

Monitor system access and unusual activity with Okta logs and Datadog

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.