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Datadog | The Monitor blog

Introducing our open source AI-native SAST Instrument and monitor Boomi integration flows with OpenTelemetry and Datadog Not all index scans are equal: How we cut query latency by over 99% Platform engineering metrics: What to measure and what to ignore Integrate Recorded Future threat intelligence with Datadog Cloud SIEM CI/CD security: threat modeling using a MITRE-style threat matrix CI/CD security: How to secure your GitHub ecosystem Ingress NGINX is EOL: A practical guide for migrating to Kubernetes Gateway API Operating agentic AI with Amazon Bedrock AgentCore and Datadog LLM Observability: Lessons from NTT DATA Introducing the Datadog Code Security MCP Capture and analyze custom heatmaps in Session Replay Understand session replays faster with AI summaries and smart chapters Monitor ClickHouse query performance with Datadog Database Monitoring How we designed empathetic alert sounds for on-call engineers Search and act across Datadog to resolve issues faster with Bits Assistant Measure the business impact of every product change with Datadog Experiments Analyzing round trip query latency Configuring JavaScript caches for better performance Introducing Bits AI Dev Agent for Code Security Datadog achieves ISO 42001 certification for responsible AI Monitor Nutanix clusters, hosts, and VMs with Datadog Monitor Juniper Mist in Datadog A new Host Map for modern infrastructure Annotate traces to improve LLM quality with Datadog LLM Observability What’s new in Cloud SIEM: AI-powered investigations, enhanced threat intelligence, and scalable security operations Explore Kubernetes with native OpenTelemetry data Monitor Oracle Fusion Cloud Applications with Datadog Announcing the Datadog Terraform provider v4.0.0 Scaling Kubernetes workloads on custom metrics How to design cloud environments for AI-powered threat analysis
Free Datadog accounts for students
2016-09-13 · via Datadog | The Monitor blog

Poet John Keats once wrote, “Nothing ever becomes real till it is experienced.” It’s certainly true of dynamic infrastructure and distributed applications, where knowing what a technology should do is often very different from the actual implementation experience.

Due to the rapid evolution of technology, most computer-science programs focus on architecture and design fundamentals. This typically means that students graduate without any knowledge of modern monitoring best practices, let alone experience with monitoring tools. Ambitious students who attempt to learn about monitoring on their own often face another barrier: the financial cost.

To help eliminate the financial barrier, we have partnered with GitHub’s Student Developer Pack and are offering students a free Datadog Pro account. The Datadog Student Developer program includes a monthly allocation of up to 10 hosts, 500 GB of ingested logs, 1,000 browser tests, 100,000 LLM requests, and more. Just as with our paid Datadog Pro accounts, each student can:

  • Store data in its original granularity for 15 months
  • Receive alerts
  • Collaborate by adding users to their account
  • Get help from the Datadog Support Team

For more information and to get your free Datadog Pro account, check out the Datadog Student Developer program page.