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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience. Stream Processing: to sample or not to sample trace data?

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Extend infrastructure observability with JMX Extensions and additional full-stack metrics

Dynatrace

Infrastructure exists to support the backing services that are collectively perceived by users to be your web application. Issues that manifest themselves as performance degradation on a user’s device can often be traced back to underlying infrastructure issues. Monitor additional metrics. Dynatrace news.

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How digital experience monitoring helps deliver business observability

Dynatrace

Digital experience monitoring (DEM) allows an organization to optimize customer experiences by taking into account the context surrounding digital experience metrics. What is digital experience monitoring? Primary digital experience monitoring tools.

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New web performance insights with additional metrics and enhanced Visually complete for synthetic monitors

Dynatrace

Dynatrace Synthetic Monitoring allows you to proactively monitor the availability of your public as well as your internal web applications and API endpoints from locations around the globe or important internal locations such as branch offices. Synthetic monitors help you find issues before they affect your customers.

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Tech Transforms podcast: How to ensure both zero trust and positive user experiences at federal agencies

Dynatrace

Read the blog “Trust nothing and no one” security policies can enhance user experiences Within the Cybersecurity and Infrastructure Security Agency (CISA), there are five Zero Trust Maturity Model pillars: identity, devices, networks, applications/workloads, and data. The result is frictionless, secure interactions.

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What is IT automation?

Dynatrace

Monitoring and logging are fundamental building blocks of observability. When monitoring tools release a stream of alerts, teams can easily identify which ones are false and assess whether an event requires human intervention. Similarly, digital experience monitoring is another ongoing process that lends itself to IT automation.

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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

In this blog post, we will discuss some of these challenges and how to overcome them. These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. What are serverless applications?