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Automating DevOps practices fuels speed and quality

Dynatrace

Still, while DevOps practices enable developer agility and speed as well as better code quality, they can also introduce complexity and data silos. Reducing fragmentation enables DevOps and site reliability engineering (SRE) teams to work in a unified way to ensure code quality and security. Gaining speed without sacrificing quality.

DevOps 290
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Dynatrace + Metis: Helping developers & SREs solve Database issues with AI

Dynatrace

Site Reliability Engineers (SREs) also face significant challenges in maintaining database reliability, ensuring performance, and preventing disruptions in highly dynamic and distributed environments. One slow query, an inefficient index, or a schema misstep can grind an application to a halt.

Database 306
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Observability is expanding: Transforming complexity into business opportunity

Dynatrace

From developers leveraging platform engineering tools to optimize application performance, to Site Reliability Engineers (SREs) ensuring resilience, and executives gaining critical business insights, observability increases the velocity of innovation across every level of an organization.

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The platform engineer role: A game-changer or just hype?

Dynatrace

Site reliability engineering first emerged to address cloud computing’s new performance needs. Today, the platform engineer role is gaining speed as the newest byproduct of scaling DevOps in the emerging but complex cloud-native world. Understanding the platform engineer role DevOps is a constantly evolving discipline.

Games 278
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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. Automation, automation, automation.

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Unblock Your Software Engineers With Unblocked

DZone

Getting up to speed in a new codebase takes time. Most engineering organizations face the dilemma of ensuring the new developer gets the support they need without slowing down the rest of the team too much. Developers spend weeks or even months onboarding at a new company.

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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing enables software engineers to model their applications’ business logic as high-level representations in a directed acyclic graph without explicitly defining a physical execution plan. We designed experimental scenarios inspired by chaos engineering. Chaos scenario: Random pods executing worker instances are deleted.