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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
This Month in Datadog - December 2024
Datadog · 2024-12-18 · via Datadog | The Monitor blog

On the December episode of This Month in Datadog, Jeremy Garcia (VP of Technical Community and Open Source) covers Kubernetes Active Remediation, Datadog IaC Security, and a trio of new features for monitoring AWS resources. Later in the episode, Natasha Goel (Product Manager) spotlights Datadog Cloud Cost Management for OpenAI. Also featured is a short recap of Datadog at KubeCon North America and AWS re:Invent 2024.

This Month in Datadog is a monthly update of the company’s latest features, product announcements, and more. Subscribe to our YouTube channel to get notifications about future episodes.

New features

Enhance your monitoring of AWS resources

Datadog’s new integration with AWS Neuron enables you to monitor your AWS Inferentia and Tranium instances--as well as the Neuron SDK--allowing you to track their performance and ensure better inference, resource utilization, and more. Check out this blog post to learn more about this integration, which is generally available.

Our new Explorer page for Amazon Elastic Container Service provides comprehensive visibility into your ECS clusters and workloads. Whether you’re looking into tasks, services, or clusters, this new feature organizes your telemetry data alongside configuration details. Get up to speed on ECS Explorer, which is generally available, by reading this blog post.

We’re also excited to introduce Storage Monitoring, which gives you visibility into your cloud storage infrastructure. Currently in Preview for Amazon S3, Storage Monitoring offers deep, prefix-level analytics, helping you understand how storage is used, detect potential issues, and make data-driven decisions. Learn more about Storage Monitoring by checking out this blog post.

Detect misconfigurations before they go to production with Datadog IaC Security

Datadog Infrastructure-as-Code (IaC) Security helps you secure your cloud environment from end to end by enabling you to detect misconfigurations before they get to production. When Datadog finds a misconfiguration, those violations are surfaced on the platform and on associated pull requests with details about the findings and steps for remediation, when applicable. Datadog IaC Security is currently in Preview. Visit this blog post to learn more.

Resolve workload issues with next steps from Datadog Kubernetes Active Remediation

Kubernetes Active Remediation provides application teams with clear, contextual remediations that they can use to resolve workload issues directly in the Kubernetes Explorer. When Datadog surfaces a Kubernetes-related error, teams can access recommended next steps, a description of what happened, and details about related issues. Kubernetes Active Remediation is currently in Preview. Learn more by reading this blog post.

Break down OpenAI costs with Datadog Cloud Cost Management

Cloud Cost Management takes the guess work out of budget planning by giving you and your engineering teams daily breakdowns of your real-not estimated-OpenAI costs. By integrating these costs into your engineering teams’ existing workflows and within the context of their OpenAI usage data, teams get complete cost transparency, enabling them to quickly react to cost spikes and optimize spend. OpenAI costs are in Preview for all Cloud Cost Management customers. Check out this blog post to learn more.

Additional updates

  1. Single Step Instrumentation for APM now GA

  2. Monitor MongoDB and MongoDB Atlas with Datadog DBM

  3. Monitor your CRDs with Datadog Container Monitoring

  4. Route data to Amazon Security Lake with Datadog

  5. Remap security logs according to OCSF with Datadog

  6. New AI assistant for Workflow Automation

  7. Next-generation Lambda extension built with Rust

See you next month

Check out our release notes for a full list of new features and updates. You can see these features and updates in action by logging onto the Datadog platform today or signing up for a 14-day free trial. We will see you next month.