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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. The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs.

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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. Ensure that you get the most out of your product.

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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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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). It helps teams to find under or overutilized resources and components quickly.

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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. Challenges of adopting OpenTelemetry The first challenge is that OpenTelemetry only gathers and processes data—it has no back end, no storage, and no analytics. What is OpenTelemetry?

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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

Actionable analytics across the?entire Due to the complexity of these environments, developers and DevOps teams are increasingly spending more time instrumenting serverless apps and services, which limits their ability to focus on building and shipping new services. – Robert Trueman, Head of Software Engineering at CDL.

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