When regional cloud outages hit, many teams lose visibility into production systems. Datadog Disaster Recovery (DDR), keeps observability intact with seamless failover to a secondary site. Learn more about DDR in this post: https://xmrrwallet.com/cmx.pdtdg.co/ddr-blog
Datadog
Software Development
New York, NY 445,582 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://xmrrwallet.com/cmx.pdatadoghq.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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Like many #fintech companies, NatWest Boxed faced challenges managing cloud spend and ensuring cost transparency across teams. With Datadog, they’ve improved cost allocation accuracy to 90% and achieved 45% in cost savings through better forecasting and budget governance. 🔍 Learn how they did it here: https://xmrrwallet.com/cmx.pbit.ly/40TL5Nc
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Datadog is taking the stage at Medicaid Enterprise Systems Conference 2025! ➡️ Join Greg Reeder and Abe Rosloff live on Tuesday, August 12 at 11:50 AM to learn how observability helps Medicaid programs navigate modular systems, cloud adoption, and compliance—reducing risk and accelerating modernization. 📍 Room S102C — see you there! #MESC2025. In the meantime, take a look at this post to learn how agencies are leveraging Datadog to monitor performance, uptime, cost, and compliance in real time: 🔗 https://xmrrwallet.com/cmx.plnkd.in/ePbjJu_M
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Monitor and optimize your AI stack with Datadog LLM Observability’s new LiteLLM integration. We’re excited to announce Datadog's native integration with LiteLLM, making it easy to monitor, troubleshoot, and optimize every LLM request. Instantly trace requests across your stack, track token usage and costs, and gain actionable insights into model selection and performance, all with Datadog LLM Observability. In this post, you’ll learn how to confidently monitor, debug, and optimize every request, no matter how complex your stack: https://xmrrwallet.com/cmx.pbit.ly/3J13dyx
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Modernizing applications doesn’t have to be complicated. Join Datadog + Google Cloud on August 12th at 12 PM ET to learn how to: ✅ Build observability-first microservices ✅ Drive performance and cost optimization with Datadog and GKE ✅ Secure your app You'll hear from Datadog's Giovanni Peralto and Google's Mofi Rahman as they walk through a real-world modernization journey. Save your seat here: https://xmrrwallet.com/cmx.pbit.ly/4m4P1Dm
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Manual testing was slowing down QAD Redzone's dev pipeline, leading to false positives, slow feedback loops, and costly production defects. With Datadog Synthetic Monitoring, the SRE team cut SEV1 incidents by 90% and scaled releases from 3x a year to 4x a month. The payoff? Faster release cycles and engineers free to focus on higher-impact work. 🔍 Read the full story: https://xmrrwallet.com/cmx.pbit.ly/4orUm9q
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Datadog reposted this
As Datadog continues to scale, the volume, complexity, and cardinality of the metrics we ingest and store steadily grow by orders of magnitude. This growth pushes the boundaries of our core timeseries database—the internal system responsible for storing raw metric data and serving it to customer queries in real time. As with any system facing growing traffic, over time, we encounter new performance challenges. Designing a new storage engine is never a decision to take lightly. Read more about how the 6th generation in a lineage that started 15 years ago achieved a 60x increase in ingestion performance and 5x faster queries at peak scale. https://xmrrwallet.com/cmx.plnkd.in/gvs-7C9j
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70K hosts. 400K+ containers. 200M+ metrics per minute. PayPal needed observability at global scale and chose Datadog + OpenTelemetry to power it. See the value of unified APM, RUM, and custom OTel pipelines across brands: https://xmrrwallet.com/cmx.pbit.ly/4lSLbN4
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Want to get ahead of issues impacting data quality? Tune in to part 2 of This Month in Datadog, where Kevin Hu shares how to proactively prevent data quality issues with Data Observability. He also talks about his transition from co-founder of Metaplane to a builder at Datadog. ICYMI: In part 1, Tristan Ratchford broke down how Bits AI SRE, our new agent for incident response, reduces on-call burden and gives you time back when it matters most. This episode offers a behind-the-scenes look at how we're building solutions to make your job less chaotic and a whole lot more predictable. 👉 Tune in: https://xmrrwallet.com/cmx.plnkd.in/e8knfmHS