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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. More seamless handoffs between tasks in the toolchain can improve DevOps efficiency, software development innovation, and better code quality. They need automated DevOps practices.

DevOps 272
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How Dynatrace boosts production resilience with Site Reliability Guardian

Dynatrace

To ensure high standards, it’s essential that your organization establish automated validations in an early phase of the software development process—ideally when code is written. This approach, known as “shift-left,” is preferred by organizations that derive insights from their production environments and plan improvements from there.

DevOps 192
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The top eight DevSecOps trends in 2022

Dynatrace

As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. According to GitLab’s 2021 Global DevSecOps Survey , 36% of respondents develop software using DevSecOps, compared with only 27% in 2020. Dynatrace news. This is fueling key DevSecOps trends in 2022.

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How to boost SRE productivity with observability-driven DevOps

Dynatrace

DevOps and site reliability engineering (SRE) teams aim to deliver software faster and with higher quality. But, manual steps — such as reviewing test results and addressing production issues resulting from performance, resiliency, security, or functional issues — often hinder these efforts. Automation presents a solution.

DevOps 223
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InfoSec 2022 guide: How DevSecOps practices drive organizational resilience

Dynatrace

They can develop software applications rapidly and gain access to extensible cloud resources without having to sink costs into IT plumbing or managing this infrastructure themselves. Adopting cloud-native technologies and open source software makes applications more feature rich and scalable, but it also increases IT complexity.

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What is chaos engineering?

Dynatrace

Testing for mishaps you can predict is essential. But with the complexity that comes with digital transformation and cloud-native architecture, teams need a way to make sure applications can withstand the “chaos” of production. Practitioners subject software to a controlled, simulated crisis to test for unstable behavior.

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AIOps strategy central to proactive multicloud management

Dynatrace

Dynatrace customers build, test, deploy, and manage their software with causal AIOps at the core of their software development lifecycles (SDLC). With the proliferation of cloud services, including containers and microservices, IT teams have a distributed, dynamic and ephemeral landscape to manage.

Strategy 228