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How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

During a breakout session at the Dynatrace Perform 2024 conference, Dynatrace DevSecOps activist Andreas Grabner and staff engineer Adam Gardner demonstrated how to use observability to monitor an IDP for key performance indicators (KPIs). Furthermore, OneAgent observes and gathers all remaining workload logs, metrics, traces, and events.

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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. Recovery time of the throughput metric.

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Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

Platform engineering is on the rise. According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026. Open source logs and metrics take precedence in the monitoring process.

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Automating Success: Building a better developer experience with platform engineering

Dynatrace

Check out the following use cases to learn how to drive innovation from development to production efficiently and securely with platform engineering observability. When releasing into production, Gardner said it’s important to think beyond performance metrics.

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Dynatrace extends distributed tracing for serverless on AWS Lambda (GA)?

Dynatrace

Actionable analytics across the?entire A single pane of glass to view trace information along with AWS CloudWatch metrics. See your AWS serverless workloads in full context with customer experience and business outcome metrics. – Robert Trueman, Head of Software Engineering at CDL. Dynatrace Davis AI.

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OTel contributor Q&A: Dynatrace works to ensure enterprise readiness for OpenTelemetry

Dynatrace

With the arrival of this release candidate (RC), the community’s focus now shifts to providing tracing RC component releases, as well as producing a metrics specification RC. With these release candidate APIs available, instrumentation for web frameworks, storage clients, and much more can be built. years ago.

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Experimentation is a major focus of Data Science across Netflix

The Netflix TechBlog

Curious to learn more about other Data Science and Engineering functions at Netflix? To learn about Analytics and Viz Engineering, have a look at Analytics at Netflix: Who We Are and What We Do by Molly Jackman & Meghana Reddy and How Our Paths Brought Us to Data and Netflix by Julie Beckley & Chris Pham.