Operations | Monitoring | ITSM | DevOps | Cloud

datadog

Monitor your OpenStack components with Datadog

Feb 6, 2024 By Candace Shamieh In Datadog
OpenStack is an open source cloud platform that enables customers to provision and manage compute, storage, and networking resources via web-based dashboards or APIs. OpenStack offers a range of services beyond standard infrastructure-as-a-service functionality, including orchestration, fault management, and service management components. These components help customers build, maintain, and scale high-availability applications.
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How Autodesk engineers better service and own their infrastructure.

Feb 5, 2024 By Datadog In Datadog
Morgan Goose, Autodesk, shares how he and his team have democratized observability and made it a default offering for all their engineers. Autodesk is a global leader in software for people who design and make the world. That includes software for architects, builders, engineers, 3D artists, and production teams. To ensure the best customer experience, Autodesk has partnered with Datadog and is taking advantage of products like DBM to quickly identify and maintain the systems they instrument.
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Visually replay user-facing issues with Zendesk and Datadog Session Replay

Feb 2, 2024 By Jamie Milstein In Datadog
Zendesk provides support teams with an integrated solution for processing all types of customer inquiries and feedback. But as organizations scale, support tickets can multiply, making it difficult to parse customer feedback and investigate issues promptly and thoroughly. Customers often report problems without providing the detailed context needed for effective troubleshooting.
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Monitor processes running on AWS Fargate with Datadog

Jan 30, 2024 By Ivan Ilichev In Datadog
Serverless platforms like AWS Fargate enable teams to focus on delivering value to customers by freeing up time otherwise spent managing infrastructure and operations. However, maintaining a deep level of observability into applications running on these fully managed platforms remains challenging.
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Go memory metrics demystified

Jan 26, 2024 By Felix Geisendörfer In Datadog
For engineers in charge of supporting Go applications, diagnosing and resolving memory issues such as OOM kills or memory leaks can be a daunting task. Practical and easy-to-understand information about Go memory metrics is hard to come by, so it’s often challenging to reconcile your system metrics—such as process resident set size (RSS)—with the metrics provided by the old runtime.MemStats, with the newer runtime/metrics, or with profiling data.
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Troubleshoot streaming data pipelines directly from APM with Datadog Data Streams Monitoring

Jan 25, 2024 By Candace Shamieh In Datadog
When monitoring applications with streaming data pipelines, there are additional complexities to consider that are not present in traditional batch-processing systems. Whether you’re using streaming data pipelines to power a digital trading platform, capture sensor data from an IoT device, or recommend news articles to users, it can be challenging to identify the root cause of delays when you’re dealing with distributed systems, real-time data, and the dynamic nature of events.
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Streamline Azure container monitoring with the Datadog AKS cluster extension

Jan 24, 2024 By Addie Beach In Datadog
Azure Kubernetes Service (AKS) enables you to easily deploy and manage containerized applications in Azure while leveraging Microsoft resources such as development tools, security features, and more. As with any Kubernetes service, the sheer volume of containers being orchestrated makes monitoring AKS cluster health challenging, which can slow response times to critical incidents and create bottlenecks around long-term optimizations.
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