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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 - February 2026 Amazon EC2 security: How misconfigured and public AMIs expand your cloud attack surface Enable end-to-end visibility into your Java apps with a single command Measure and improve mobile app startup performance with Datadog RUM Evaluating our AI Guard application to improve quality and control cost Identify untested code across every level of your codebase Make use of guardrail metrics and stop babysitting your releases Monitor Versa Networks SD-WAN performance in Datadog Improve performance and reliability with APM Recommendations Remediate transitive vulnerabilities faster with Datadog Software Composition Analysis Generate audit-ready vulnerability and compliance reports with Datadog Sheets Monitor Fortinet FortiManager performance in Datadog Improve test coverage across codebases with Datadog Code Coverage Move fast, don’t break things: Consistent testing standards at scale Enrich logs with ServiceNow CMDB context before routing to any SIEM or logging tool Monitor Lustre with Datadog Make faster, better product decisions with Datadog Product Analytics Surface and remediate runtime posture issues with Workload Protection Findings Protect agentic AI applications with Datadog AI Guard How to optimize JavaScript code with CSS Trace Google Pub/Sub workloads in Cloud Run with Datadog Detect human names in logs with ML in Sensitive Data Scanner How we cut our NLQ agent debugging time from hours to minutes with LLM Observability Debug PostgreSQL query latency faster with EXPLAIN ANALYZE in Datadog Database Monitoring Datadog acquires Propolis Unify and correlate frontend and backend data with retention filters Scale compliance across global frameworks with Datadog Cloud Security Monitor Arista VeloCloud SD-WAN performance with Datadog Building reliable dashboard agents with Datadog LLM Observability Simplify log collection and aggregation for MSSPs with Datadog Observability Pipelines Mitigation for Node.js denial-of-service vulnerability affecting Datadog APM Automate flaky test fixes with the Bits AI Dev Agent and Test Optimization How we built an AI SRE agent that investigates like a team of engineers Datadog integrations 2025 recap: Observability for AI, security, and hybrid cloud Design effective executive dashboards with Datadog Implement dbt data quality checks with dbt-expectations Bring faster visibility into AWS Lambda functions with remote instrumentation Troubleshoot faster with the GitLab Source Code integration in Datadog How Cambia Health Solutions saved $30,000 monthly with Cloud Cost Management and the Datadog Resource Catalog Normalize any logs for Cloud SIEM with Datadog's OCSF processor Optimizing Datadog at scale: Cost-efficient observability at Zendesk Detect, diagnose, and resolve network issues easily with CNM Network Health Connect engineering errors to user impact in early-stage products Cilium configuration for Kubernetes operations at scale Designing feedback loops for progressive delivery Ship features faster and safer with Datadog Feature Flags Choosing the right OpenTelemetry Collector distribution Route your monitor alerts with Datadog monitor notification rules Automate Cloud SIEM investigations with Bits AI Security Analyst Cloud threat detection: How to identify risky activity across control and data planes Collecting Kafka performance metrics Monitoring Kafka with Datadog Monitoring Kafka performance metrics
Explore your data effortlessly with the Datadog Clipboard
2020-12-18 · via Datadog | The Monitor blog

When investigating a complex system—or learning about it for the first time—you need to explore metrics, traces, logs, and other kinds of data. But as you navigate across different views of your data in dashboards, alert notifications, flame graphs, and so on, it can be hard to keep track of what you have already seen. When a potential issue comes up and time is tight, the last thing you need is to spend time remembering a crucial graph or finding the right browser tab.

The Datadog Clipboard streamlines investigation by capturing relevant views of your infrastructure and applications in a single place. You can access the information you copied from the bottom of your screen as you navigate to other pages, and export items from the Clipboard to new or existing incidents, Notebooks, and dashboards.

The signals that you can copy to the Clipboard include:

The Clipboard works on all pages of Datadog, and it will automatically store up to 20 signals even when it is not open.

Context where you need it

The Datadog Clipboard helps you explore and troubleshoot more easily by letting you organize findings from your investigations in one place—without having to remember interesting signals or clutter your browser with tabs. You can select relevant signals, and then use them to:

Frictionless troubleshooting

You can use the Datadog Clipboard to organize your findings while investigating an incident, so you can focus on discovering root causes. For example, if you see signs of an issue within a Watchdog story’s details panel, an alert status page, or a Security Signal Panel, you can copy the URL to the Clipboard, along with any helpful graphs, and declare an incident right away—with all of the signals you have selected.

And as you’re investigating an ongoing incident, you can store signals in the Clipboard as you discover them. Use the search box to look up an incident to add signals to (as shown below). When you export signals to the incident, Datadog will automatically add them to the incident’s timeline.

Declaring an incident from the Datadog Clipboard.
Declaring an incident from the Datadog Clipboard.
Declaring an incident from the Datadog Clipboard.

From explorations to shared resources

Whether you have joined a new team or are designing a new service, you often need to gather data from different contexts while building an overall picture of your infrastructure and applications. The Datadog Clipboard streamlines this process by letting you gather relevant signals without leaving your current Datadog tab.

As you explore your team’s resources, any graphs you copy are automatically stored in the Clipboard. You can easily export these graphs to a Notebook. Notebooks can serve as personal guides or resources to share with your teammates, who can edit them in real time and add comments for discussion. This way, you can use the Clipboard to easily create runbooks, allowing teammates to benefit from your research when deploying a new service, scaling up a cluster, or verifying that a service can communicate with a new dependency.

In this example, we are adding signals to an existing runbook from the Clipboard as we learn more about one of our services.

notebook

Easier dashboard creation

You can also use the Datadog Clipboard to create dashboards more efficiently. For example, let’s say you are deploying a new feature and want to understand how your users interact with it. While browsing through Datadog—e.g., graphs of RUM analytics data or browser logs—you copy widgets to the Clipboard. Once you’ve amassed a complete picture of your data, you select the signals you want to export, then click “Add to a new dashboard.” Datadog will automatically create a dashboard from the selected signals.

The Datadog Clipboard makes it possible to explore views of your data while keeping distractions to a minimum, so you can easily build an overall picture of your infrastructure and applications. You can open the Clipboard while using Datadog by pressing Cmd/Ctrl + Shift + K on your keyboard. The Clipboard is one of the many ways that Datadog visualizes metrics, traces, logs, security signals, and other data in a single platform. If you don’t have a Datadog account, you can sign up for a free trial.