Operations | Monitoring | ITSM | DevOps | Cloud

Pod annotations in Kubernetes with invalid JSON syntax can prevent Datadog Autodiscovery from detecting integrations, resulting in missing metrics and gaps in monitoring. Watch this video for a step-by-step process to write annotations: Note: This video focuses on Datadog Autodiscovery v2 syntax.

How do you maintain 99.99 percent uptime across thousands of Kubernetes hosts and multiple cloud providers? Okta engineers explain why observability is critical to keeping authentication and authorization services running at scale. Watch how Okta uses Datadog to bring metrics, logs, and traces into a single view, speed up root cause analysis, and reduce time to mitigation while controlling costs.

Normalizing security logs into the Open Cybersecurity Schema Framework (OCSF) is often complex, manual, and time-consuming. With Datadog Observability Pipelines, you can easily transform logs into OCSF format—right in your own environment—before routing them to destinations like Splunk, CrowdStrike, and AWS Security Lake. This video show how Security teams can use Observability Pipelines to: Collect, process, and transform logs into OCSF format automatically.

Balancing performance and cost in Kubernetes doesn’t have to be a tradeoff. In this short demo, you’ll see how Datadog helps teams rightsize workloads, reduce over-provisioning, and measure real cost savings using Kubernetes autoscaling.

Using a drag-and-drop interface, engineering teams can create apps that support troubleshooting, improve day-to-day operations, and offer self-service access without leaving Datadog. With the new conversational AI feature, teams can turn an idea into a working app in seconds. Watch the video to see how it works..

Tune in for spotlights of Bits AI SRE, now generally available, and Datadog’s MCP Server, which connects AI agents to our platform by ingesting prompts and mapping them to Datadog resources and data. Plus, we cover how to: Search logs at petabyte scale in your own infrastructure with CloudPrem Break down costs drivers at the prefix level with Storage Management Create workflows that adapt to real-world complexity with Agent Builder Detect and block credential leaks with Secret Scanning.

See how Datadog turns cloud usage and performance data into actionable business insights by helping teams calculate unit economics to measure and optimize the efficiency of every service. You’ll discover how to: Datadog bridges the gap between cloud costs and business value—helping organizations get the most value out of their cloud investment.

See how Datadog Cloud Cost Management combines observability and cost data with actionable automation to help teams optimize spend. In this short demo, you’ll learn how to: With Datadog Cloud Cost Management, cost optimization is built into the same platform engineers use every day.

Never contributed to open source and feeling intimidated? Same. Before joining Datadog, Alessandro had zero open source experience. Now he's a regular contributor to Apache Iceberg. Here's exactly how he got started. Step 1: Join the Slack community and answer user questions. Step 2: Look for "good first issue" tags in the repo. Step 3: Remember that opening bug reports and doing code reviews count as contributions too.

Learn more by watching the full episode our latest This Month in Datadog series.