All Research Sponsored By:Datadog
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The Future of AI, LLMs, and Observability on Google Cloud: 7 Key Insights for Leaders
This guide offers 7 insights from Google and Datadog leaders on AI, LLMs, and observability. Learn to focus on key metrics, prioritize simple use cases, build customer confidence, and implement effective observability. Discover strategies for balancing cost, performance, and quality in your AI journey by reading the e-book.
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Cloud-Scale Monitoring With AWS And Datadog
Gain insights into AWS migrations, serverless apps, and containerized workloads with comprehensive monitoring strategies. Learn to compare performance between on-premise and cloud, track Lambda functions, and monitor container services like ECS and EKS. Read this e-book to master cloud-scale monitoring for your AWS infrastructure.
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Nine Developer Enablement Practices To Achieve Devops At Enterprise Scale
Discover nine proven practices to achieve DevOps at enterprise scale with limited ops resources. Christian Oestreich shares how his team built a metrics-driven mindset, enabling a 25:1 dev-to-ops ratio while supporting 500+ engineers and 150+ microservices. Learn strategies for empowering developers to manage their own code effectively.
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The Business Value of Observability
How can you optimize your monitoring strategies by focusing on ways to reduce costs and improve overall productivity? Tap into this e-book to learn how Datadog’s Business Value Assessments (BVAs) are designed to provide the following 5 key business outcomes.
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DevSecOps Maturity Model Whitepaper
DevSecOps is helping organizations deliver high quality, secure digital services—but IT leaders still have a lot of questions surrounding it all. Luckily, this guide covers the basics of the DevSecOps Maturity Model, 3 key DevSecOps questions for IT leaders, the business value of DevSecOps, and more. Get started here.