Remove code-quality
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Automate CI/CD pipelines with Dynatrace: Part 2, Deploy stage

Dynatrace

In the previous installment of this blog series , we explored how to set up Dynatrace as a build-stage orchestrator to effectively address the challenges faced by Site Reliability Engineers (SREs). Deploy stage In the deployment stage, the application code is typically deployed in an environment that mirrors the production environment.

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Code Quality: Its Importance in Custom Software Development

Simform

The post Code Quality: Its Importance in Custom Software Development appeared first on Insights on Latest Software Technologies - Simform Blog.

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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

AI data analysis can help development teams release software faster and at higher quality. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights? Causal AI is critical to feed quality data inputs to the algorithms that underpin generative AI.

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DevOps observability: A guide for DevOps and DevSecOps teams

Dynatrace

However, getting reliable answers from observability data so teams can automate more processes to ensure speed, quality, and reliability can be challenging. This drive for speed has a cost: 22% of leaders admit they’re under so much pressure to innovate faster that they must sacrifice code quality. What is DevOps?

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Automate CI/CD pipelines with Dynatrace: Part 3, Testing stage

Dynatrace

In the last blog post of this series, we delved into how Dynatrace, functioning as a deploy-stage orchestrator, solves the challenges confronted by Site Reliability Engineers (SREs) during the early of automating CI/CD processes. The post Automate CI/CD pipelines with Dynatrace: Part 3, Testing stage appeared first on Dynatrace news.

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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.

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Technology predictions for 2024: Dynatrace expectations for observability, security, and AI trends

Dynatrace

That’s why many organizations are turning to generative AI—which uses its training data to create text, images, code, or other types of content that reflect its users’ natural language queries—and platform engineering to create new efficiencies and opportunities for innovation. No one will be around who fully understands the code.