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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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OpenTelemetry observability and Dynatrace deliver actionable answers at scale

Dynatrace

But, as Justin Scherer, senior software engineer from Northwestern Mutual found, OpenTelemetry by itself is not a panacea. How OpenTelemetry works Observability data is the stock-in-trade of OpenTelemetry: Logs, metrics, and traces. What is OpenTelemetry? It’s also being built into Kubernetes.” But one blind spot remained.

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Conducting log analysis with an observability platform and full data context

Dynatrace

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. Dynatrace Grail unifies data from logs, metrics, traces, and events within a real-time model.

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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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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

Like general observability , AWS observability is the capacity to measure the current state of your AWS environment based on the data it generates, including its logs, metrics, and traces. And why it matters. As a result, various application performance and security problems can go unnoticed absent sufficient monitoring.

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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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