Remove Engineering Remove Metrics Remove Monitoring
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Mastering Prometheus: Unlocking Actionable Insights and Enhanced Monitoring in Kubernetes Environments

DZone

In the dynamic world of cloud-native technologies, monitoring and observability have become indispensable. However, managing its health and performance efficiently necessitates a robust monitoring solution. Kubernetes, the de-facto orchestration platform, offers scalability and agility.

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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. All important health signals are highlighted.

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Dynatrace wins AI Breakthrough Award for Davis AI engine

Dynatrace

We are proud to s hare Dynatrace has been named the winner in the “ Best Overall AI-based Analytics Company ” category, recognized for our innovation and the business-driving impact of our AI engine, Davis. . The post Dynatrace wins AI Breakthrough Award for Davis AI engine appeared first on Dynatrace blog.

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Next generation Dynatrace Davis AI becomes the default causation engine

Dynatrace

Even the best baseline approaches come with a tiny percentage of false-positive alerts, the number being directly proportional to the number of components you’re monitoring. Back during Perform 2019, we introduced the next generation of the Dynatrace AI causation engine , also known as Davis. as the default AI engine.

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Observability engineering: Getting Prometheus metrics right for Kubernetes with Dynatrace and Kepler

Dynatrace

For busy site reliability engineers, ensuring system reliability, scalability, and overall health is an imperative that’s getting harder to achieve in ever-expanding, cloud-native, container-based environments. To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus. What is Prometheus?

Metrics 190
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A Kubernetes platform engineering strategy tames Kubernetes complexity

Dynatrace

I spoke with Martin Spier, PicPay’s VP of Engineering, about the challenges PicPay experienced and the Kubernetes platform engineering strategy his team adopted in response. Taking a strategic Kubernetes platform engineering approach Spier noted that keeping Kubernetes simple requires a strategic approach.

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