Remove services performance-engineering
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Sustainable Software Engineering Through Performance Testing Services

Abstracta

The optimization of performance testing services can contribute to achieving sustainable software engineering. Why is the digital carbon footprint getting bigger every day? What are the best practices to reduce it?

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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. Platform engineering: Build for self-service Self-service deployment is a key attribute of platform engineering.

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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.

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Enhancing Kubernetes cluster management key to platform engineering success

Dynatrace

During a breakout session at Dynatrace Perform 2024 , Alois Mayr, principal product manager at Dynatrace, and Stefano Doni, CTO at Akamas, broke down how Dynatrace and Akamas can help organizations enhance Kubernetes cluster management. Engineering teams are overwhelmed with stuff to do.” Consider a sudden drop in performance.

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The Guide to SRE Principles

DZone

Site reliability engineering (SRE) is a discipline in which automated software systems are built to manage the development operations (DevOps) of a product or service. In other words, SRE automates the functions of an operations team via software systems.

DevOps 289
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Evolving from Rule-based Classifier: Machine Learning Powered Auto Remediation in Netflix Data…

The Netflix TechBlog

In this blog post, we present our project on Auto Remediation, which integrates the currently used rule-based classifier with an ML service and aims to automatically remediate failed jobs without human intervention. Its major advantages are below: Integrated intelligence. Fully automated.

Tuning 210
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What is predictive AI? How this data-driven technique gives foresight to IT teams

Dynatrace

They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. Therefore, the integration of predictive artificial intelligence (AI) in the workflows of these teams has become essential to meet service-level objectives, collaborate effectively, and boost productivity. Proactive resource allocation.