Slow, noisy CI pipelines slowing you down? In our hands-on Learning Center course, you’ll integrate Datadog with GitHub Actions, send and validate test data, and gain visibility into what’s passing, failing, and slowing builds—all in about an hour: https://lnkd.in/e7SSeww7
Datadog
Software Development
New York, NY 503,770 followers
Datadog provides cloud-scale monitoring and security for metrics, traces and logs in one unified platform.
About us
Datadog is the essential monitoring platform for cloud applications. We bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. These capabilities help DevOps teams avoid downtime, resolve performance issues, and ensure customers are getting the best user experience.
- Website
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http://datadoghq.com
External link for Datadog
- Industry
- Software Development
- Company size
- 1,001-5,000 employees
- Headquarters
- New York, NY
- Type
- Public Company
- Founded
- 2010
- Specialties
- SaaS, APM, Software, Log Management, Cloud, DevOps, Monitoring, Infrastructure, Distributed Systems, Cloud Computing, Open-source, and Golang
Products
![Click here to view Datadog]()
Datadog
Application Performance Monitoring (APM) Software
Monitor infrastructure metrics, distributed traces, logs, and more in one unified platform with Datadog.
Locations
Employees at Datadog
Updates
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Avoid annotations in Kubernetes with broken JSON to properly configure integrations with Datadog Autodiscovery. Check out this video for helpful tips about writing annotations: https://lnkd.in/eJ7GfY_G
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Fixing vulnerable dependencies is harder than finding them. Learn how Datadog Software Composition Analysis maps the full dependency chain and recommends root upgrades to remediate vulnerabilities faster: https://lnkd.in/e97e-2dF
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⚙️ Integration Alert: Datadog’s Fortinet FortiManager integration gives teams end-to-end visibility into SD-WAN performance by correlating link quality, FortiGate health, and application traffic to speed up incident investigation. 🔗 Learn more about the integration: https://lnkd.in/emiQZaU2
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Datadog reposted this
Monitor ADK agentic applications with Datadog LLM Observability! This integration gives you the visibility to monitor agent behavior, track costs and errors, and optimize agents for response quality and safety through offline experimentation and online evaluation without extensive manual setup. Powerful AI agents, zero blind spots. Read the full blog to get started in minutes → https://goo.gle/4tbEXwh
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The State of DevSecOps 2026 is here. Based on data from tens of thousands of organizations, our latest report uncovers major findings shaping modern DevSecOps—from the impact of installing software within a day of release to the prevalence of exploitable vulnerabilities across services. Learn more: https://bit.ly/47c7lot
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You collect telemetry across your stack—but how do you turn it into action before issues escalate? Datadog APM Recommendations analyzes data across the platform to automatically deliver specific, actionable guidance. Find out how to detect emerging issues faster, streamline triage, and track recommendations across teams: https://lnkd.in/eGvXQDqU
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Datadog is partnering with Sakana AI to help enterprises run AI systems reliably in production. By bringing together Sakana AI’s research expertise and Datadog’s observability and security platform, the collaboration will support production-scale AI — starting with enterprises in Japan. Read the announcement: https://lnkd.in/eEMkeqKu
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MCP servers have become a new attack surface in AI systems. Learn how to reduce that risk by focusing on the signals that actually indicate compromise, including abnormal tool usage, failed permissions, and suspicious prompt patterns. Check our AI Security Guide: https://lnkd.in/eg3Gim4C
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AI is changing both development and risk. Ahead of #RSAC, Datadog CISO Emilio E. joined Techstrong TV's Alan Shimel to discuss defensive AI, why feedback loops improve AI agents, and how observability + security help protect AI-native environments. Tune into their full discussion here: https://bit.ly/4rBMkvQ
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