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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 Monitor Aruba Central in Datadog How we centralize and remediate risks with Datadog Case Management Accelerate incident response with Datadog and ServiceNow Monitor your application and network load balancer logs Understanding Karpenter architecture for Kubernetes autoscaling Tools for collecting metrics and logs from Karpenter Monitor Karpenter with Datadog What your product data is actually saying Key metrics for monitoring Karpenter Securing Datadog’s platform in the AI age: The role of observability data Four ways engineering teams use the Datadog MCP Server to power AI agents Approaching your observability migration with the right mindset Meet the new Bits AI SRE: Deeper reasoning, twice as fast Key learnings from the 2026 State of DevSecOps study Use plain English to query your multi-cloud infrastructure in Resource Catalog Simplifying troubleshooting across the user journey with Datadog Synthetic Monitoring Protect your OCI resources with Datadog Cloud Security This Month in Datadog - 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Upgrade your issue tracking with JIRA and Datadog
2016-10-11 · via Datadog | The Monitor blog

Atlassian JIRA is a project management platform designed to organize bug tracking and issue resolution with the use of projects and tickets.

Projects are collections of related issues and can be made up of different types of issues, like bugs or tasks. Teams can make sure everyone is on the same page as an issue is resolved by updating tickets and adding comments, making JIRA a popular choice for complex project management.

Datadog’s new JIRA integration streamlines management of issues related to your infrastructure or application performance by allowing you to create, tag, and update your tickets directly from your Datadog alerts.

Create

Datadog alerts can be configured to create custom JIRA tickets automatically by defining custom ticket types and adding your project id and issue types. Required fields for custom tickets can be filled in manually, or you can use custom payload variables that will be dynamically populate when an alert triggers.

jira alert

Tag

You can assign tags to your JIRA tickets in Datadog, allowing you to group tickets by tag. Grouping tickets provides additional insight into the rate at which different issue types trigger ticket creation as well as which alerts or warnings are most frequently triggered.

To group tickets by tag:

jira alert

Inbound events

When a new ticket is created, a corresponding event is triggered and appears in the Datadog Events Explorer.

jira alert

Try it!

If you’re using Datadog, take your issue tracking to the next level by setting up the JIRA integration. Otherwise, sign up for a free Datadog trial and rein in the chaos.