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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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Introducing the Datadog mobile app
Sacha Guyon, Jonathan Epstein · 2020-07-29 · via Datadog | The Monitor blog
Sacha Guyon

Sacha Guyon

Jonathan Epstein

Jonathan Epstein

If you’ve been in the SRE or DevOps space for a while, you know that on-call duty can be tough. Whether it’s getting woken up by an alert, or pulling over to the side of the road while driving, chances are you’ve had to stop what you’re doing as soon as your pager rings. But pager notifications often don’t give you enough information to investigate the issue from your mobile device, meaning that access to a laptop at all times is a must.

In order to help on-call engineers easily triage issues wherever they are, we are excited to announce the general availability of the Datadog mobile app for both Android and iOS devices. With full access to your Datadog dashboards and alerts and seamless integration with your on-call notification and messaging services like Pagerduty, OpsGenie, and Slack, you can use the Datadog app to quickly evaluate the conditions that triggered an alert, triage its urgency, and decide your next course of action—anywhere, anytime.

Triage alerts from your pocket

Available in both light and dark modes, the Datadog mobile app takes the desktop cloud monitoring experience you already know and reimagines it for mobile. Tapping the link included in a pager notification automatically opens the Datadog app to the relevant alert, where you’ll see a summary of recent activity along with interactive graphs for immediate context. From there, you can use native mobile gestures to scrub back and forth in time, zoom in on critical moments, and select groups to visually compare healthy hosts with those that triggered the alert. You can also view related events around the alert to contextualize the problem and get a fuller picture of why it was triggered.

The Datadog mobile app provides full access to your monitors.

Dashboards on the go

The Datadog mobile app also provides in-app access to all of your Datadog dashboards, allowing you to see key monitoring data from every layer of your environment using a single, mobile-friendly pane of glass. Now, when you receive a notification you can instantly correlate an alert with other critical metrics and pivot to other service dashboards for a deeper understanding of your stack’s current state.

Once you’ve explored your dashboards and determined the severity of the alert, you can decide how to proceed: mute the alert to stop notifications and focus on troubleshooting, share your findings with your teammates and start collaborating, or move to your laptop to perform further correlation analysis.

You can view all of your dashboards in the app.

The Datadog mobile app: on-call, anywhere

By providing you with instant access to your Datadog dashboards and alerts in a portable package, the Datadog mobile app lets you take your cloud monitoring toolkit just about anywhere—on-call or off. You can download the app on the Apple App Store or Google Play Store. And If you’re not already using Datadog, get started with a 14-day free trial.