Now send OTLP metrics directly to Datadog—no collector needed. Our new OTLP Metrics API makes it easy to ingest OTLP metrics from cloud-provider managed OTel distributions and serverless environments, including Azure Functions, Cloudfare Workers, and Vercel, straight into Datadog. Learn more in our blog: https://lnkd.in/ek4X_e7C
Datadog
Software Development
New York, NY 470,686 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
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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#DatadogSummit Chicago is almost here! Join us on November 4th to see how Datadog’s next-generation AI-powered observability and security features can help you build for the AI era. Hear from Datadog leaders and customers like Zendesk and Grainger as they share how they’re using AI-driven observability to boost reliability, scale efficiently, and accelerate innovation. Don’t miss a day of real-world insights, live demos, and stories from the teams shaping the future of observability. 👉 Register now to save your seat: https://lnkd.in/eCEWJFgX
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Security teams don’t need more data, they need the right data. With Observability Pipelines’ SentinelOne integration, you can: ✔️ Filter and enrich logs before they leave your environment ✔️ Route only relevant events into SentinelOne ✔️ Cut costs while strengthening detection and response Read more in our blog: https://lnkd.in/eV7TmtJR
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With microservices, security is everyone’s job. Our latest eBook shows you how to: ✅ Implement continuous detection from dev to prod ✅ Prioritize vulnerabilities with runtime context ✅ Drive compliance and accountability Get all the tips on how to get microservice observability at scale with the latest Best Practices Guide: https://bit.ly/3Kff8cs
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We built an LLM-based system to flag potentially malicious pull requests across Datadog’s repositories. See how the system runs in real time, scales easily, and has already caught real-world supply chain attacks. Read the blog: https://lnkd.in/eQtj6_gc
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Experiments help you catch issues and make confident decisions, but data silos can prevent you from understanding the full impact of your changes. Learn how Datadog and Eppo unify performance, behavioral, and business metrics for experimentation that unlocks deeper insights: https://lnkd.in/ecNeDgsn
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Tracking AI costs shouldn’t slow you down. Datadog now integrates OpenAI usage and costs directly into Cloud Cost Management so you can: ➡️ See token-level usage and daily spend ➡️ Detect spikes with anomaly monitors ➡️ Manage AI and cloud budgets in one place Get clarity on your AI spend and keep innovation moving. 🎥 Watch the demo: https://lnkd.in/eEfcZVH6
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Connect your high-performance computing teams with on-premises and cloud-based HPC clusters on one platform. Now, Datadog brings end-to-end visibility across HPC workloads and their supporting infrastructure so you can: ✅ Monitor on-prem and cloud-based HPC ✅ Resolve performance issues faster ✅ Optimize cluster utilization and costs Learn more in our latest blog post: https://lnkd.in/evPyfrN8
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Most security teams spend more time managing data volume than managing threats. In this live session, Francis Odum (Software Analyst Cyber Research), Willian Valerio (Appoena), and Datadog experts will break down how modern SIEM strategies are evolving to meet the challenges of scale, cost, and complexity, without sacrificing visibility. Join us on November 10th at 12 PM ET / 9 AM PT to explore practical ways to modernize your SIEM architecture and strengthen your security operations. Register here: https://lnkd.in/euPqXeFd
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Protect sensitive data in logs, like PII, tokens, or credentials—and save yourself from compliance risk. With Observability Pipelines, automatically scrub or mask sensitive info with on-premises redaction before it leaves your environment. Now you can: ✅ Have built-in and custom rules ✅ Mask, hash, or remove data ✅ Stay compliant without losing observability Read the blog to learn more: https://bit.ly/47LLFjI
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