Whether running on a fully cloud-hosted environment, on-premise servers, or a hybrid solution, modern services and applications are heavily reliant on network and DNS performance. This makes comprehensive visibility into your network a key part of monitoring application health and performance. But as your applications grow in scale and complexity, gaining this visibility is challenging.

Netlify is a Jamstack web development platform that lets customers build and deploy dynamic, highly performant web apps. By uniting popular JavaScript frameworks, developer tools, and APIs into streamlined workflows, Netlify helps teams rapidly spin up and ship common Jamstack use cases, including e-commerce stores, SaaS applications, and corporate sites. Netlify supports these deployments with an integrated CI/CD tool, global multi-cloud edge network, and serverless backend.

Amazon Elastic Kubernetes Service (EKS) is a cloud-based compute platform that includes a fully managed Kubernetes control plane in order to simplify cluster operations. AWS introduced EKS Anywhere to bring the operational ease of EKS to organizations that manage on-premise environments (e.g., to meet data sovereignty requirements).

Statsig is a modern experimentation platform that provides crucial insight into how new features are received by your users, so you can make informed product decisions and deploy with confidence. Statsig automatically runs A/B tests on features as they’re rolled out, and measures their impact on key business metrics, such as user growth and engagement.

The ASP.NET Core framework provides cross-platform support for web development, giving you greater control over how you build and deploy your.NET applications. With the ability to run.NET applications on more platforms, you need to ensure that you have visibility into application performance, regardless of where your applications are hosted. In previous posts, we looked at instrumenting and monitoring a.NET application deployed via Docker and AWS Fargate.

Conviva is a platform that helps businesses gain real-time insight into the overall performance and playback quality of their streaming video content. With video streaming workflows, slow start-up times and playback errors can hinder user experience and ultimately drive customers away. With Conviva, you can view key Quality of Experience (QoE) metrics, including video playback failures, rebuffering ratios, and other business-critical data to help monitor and enhance your viewer experience.

Logs are an essential part of an effective monitoring strategy, as they provide granular information about activity that occurs anywhere in your system. In serverless environments, however, you have no access to the infrastructure that supports your applications, so you must rely entirely on logs from individual AWS services when troubleshooting performance issues.

Modern software development teams use CI/CD tools to ship features quickly and rely on best practices like shift-left testing to find application errors before they become user-facing bugs. But you still face the risk that any code you deploy could contain errors that your testing did not surface. To help you deploy with confidence and mitigate the effects of a bad deployment, Datadog APM now provides Automatic Faulty Deployment Detection.