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How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. As a result, teams can focus on writing code and building features rather than dealing with infrastructure nuances. “It makes them more productive.

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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. Monitoring-as-code can also be configured in GitOps fashion.

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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

‘Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. The platform engineer role: A game-changer or just hype? Enter causal AI.

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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. OpenTelemetry works by providing developers with APIs, SDKs, and tools to instrument their code and collect telemetry data such as logs, metrics, and traces. What is OpenTelemetry?

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Automating Success: Building a better developer experience with platform engineering

Dynatrace

Each use case provides its own unique value and impact, and whoever sees value in the use cases can adopt it—whether they are a platform engineer, DevOps engineer, performance engineer, or a site reliability engineer (SRE). Configuration as code is easy to use, update, and understand.

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Autonomous Cloud Enablement aka Scaling NoOps via Self-Service

Dynatrace

Autonomous Cloud is what enables our globally distributed development teams at Dynatrace to deliver better software faster following our NoOps approach: Fully Autonomous and as a Self-Service! Three waves of DevOps leading to Autonomous Cloud. DevOps Transformation at Dynatrace enacted live on stage at Perform 2017!

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

Dynatrace

This gives you seamless end-to-end distributed tracing for AWS Lambda functions without touching any code through auto-instrumentation, thereby helping you to better understand potential issues that may impact your end users’ experience. Actionable analytics across the?entire AI-powered answers, provided by?Dynatrace entire stack,?including

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