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What is platform engineering?

Dynatrace

With growing multicloud complexity and the need for organization-wide scalability, self-service and automation capabilities have become increasingly essential for developer productivity. In response to this shift, platform engineering is growing in popularity. Why is platform engineering important?

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Leveraging Infrastructure as Code for Data Engineering Projects: A Comprehensive Guide

DZone

Data engineering projects often require the setup and management of complex infrastructures that support data processing, storage, and analysis. In this article, we will explore the benefits of leveraging IaC for data engineering projects and provide detailed implementation steps to get started.

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How low-code/no-code AutomationEngine advances automated workflows

Dynatrace

But to be scalable, they also need low-code/no-code solutions that don’t require a lot of spin-up or engineering expertise. Low-code/no-code AutomationEngine fuels workflow automation The Dynatrace platform brings modern observability and workflow automation to the fore.

Code 212
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How observability, application security, and AI enhance DevOps and platform engineering maturity

Dynatrace

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior.

DevOps 190
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Building Resilience With Chaos Engineering and Litmus

DZone

The scalability, agility, and continuous delivery offered by microservices architecture make it a popular option for businesses today. Various factors, such as network communication, inter-service dependencies, external dependencies, and scalability issues, can contribute to outages.

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Accelerate and empower Site Reliability Engineering with Dynatrace observability

Dynatrace

Planned effort Site Reliability Engineering (SRE) effort and time allocation planning typically fall into two domains: Operations Management (50%) Operations Management includes on-call responsibilities, post-mortem assessments, addressing other interruptions, and buffer time. These practices are commonly known as “ chaos engineering. ”

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DevOps engineer tools: Deploy, test, evaluate, repeat

Dynatrace

As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. DevOps engineer tools can help ease the pressure as environment complexity grows. ” What does a DevOps platform engineer do? .” What are DevOps engineer tools and platforms.

DevOps 191