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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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What is IT automation?

Dynatrace

IT admins can automate virtually any time-consuming task that requires regular application. 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.

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Monitoring-as-code through Dynatrace’s Open-Source Initiative

Dynatrace

Configuring monitoring and observability is no stranger to that paradigm and it was also highlighted in the latest State of DevOps 2020 report. Defining what to monitor and what to be alerted on must be as easy for developers as checking in a monitoring configuration file into version control along with the applications source code.

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

Dynatrace

With Dynatrace Infrastructure Monitoring you get a complete solution for the monitoring of cloud platforms and virtual infrastructure, along with log monitoring and AIOps. Monitor any infrastructure component and backing service that’s written in Java. Monitor additional metrics. How to get access.

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How Netflix uses eBPF flow logs at scale for network insight

The Netflix TechBlog

Berkeley Packet Filter (BPF) is an in-kernel execution engine that processes a virtual instruction set, and has been extended as eBPF for providing a safe way to extend kernel functionality. After several iterations of the architecture and some tuning, the solution has proven to be able to scale. What is BPF?

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AWS re:Invent 2017: How Netflix Tunes EC2

Brendan Gregg

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Our team looks after the BaseAMI, kernel tuning, OS performance tools and profilers, and self-service tools like Vector. Virtual Memory. We help where we can. schedtool –B PID. Huge Pages.

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Monitoring Serverless Applications

Dotcom-Montior

Again, the benefit being that the code within your containers or virtual machines is managed by the cloud provider. Developers don’t have to put in additional time to fine-tuning the system, or rely on other teams for support, as it’s done automatically with the cloud provider. Monitoring. Monitoring Serverless Applications.