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9 key DevOps metrics for success

Dynatrace

You have set up a DevOps practice. As we look at today’s applications, microservices, and DevOps teams, we see leaders are tasked with supporting complex distributed applications using new technologies spread across systems in multiple locations. DevOps metrics to help you meet your DevOps goals. Dynatrace news.

DevOps 199
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Re-imagining your DevOps tools to build a next generation delivery platform

Dynatrace

Many organizations that have integrated their software development and operations into DevOps practices struggle with efficiency because they’re juggling disparate DevOps tools, or their tools aren’t meeting their needs. The status quo of the DevOps toolchain. How to approach transforming your DevOps processes.

DevOps 212
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What is platform engineering?

Dynatrace

A platform encompasses a set of tools, services, and infrastructure that enables developers to build, test, and deploy software applications. This blog wil cover the importance of platform engineering, the role of a platform engineer, and where the practice is heading in the future. Platform engineering cannot stand alone, however.

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Vulnerability assessment: key to protecting applications and infrastructure

Dynatrace

Protecting IT infrastructure, applications, and data requires that you understand security weaknesses attackers can exploit. Cloud infrastructure analysis ensures the secure configuration of cloud infrastructure including virtual machines, containers, cloud-hosted databases, and serverless services. Dynatrace news.

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Site reliability engineering: Six SRE trends to unleash DevOps innovation

Dynatrace

By applying software engineering principles to operations and infrastructure practices, SRE enables organizations to streamline and automate IT processes. SRE is becoming an essential discipline in organizations that use DevOps (the combination of development and operations) and agile methodologies. Experimentation is critical to SRE.

DevOps 147
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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

‘Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. Causal AI is critical to feed quality data inputs to the algorithms that underpin generative AI.

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Automate CI/CD pipelines with Dynatrace: Part 4, Validation stage

Dynatrace

In the previous blog post of this series , we discussed the crucial role of Dynatrace as an orchestrator that steps in to stop the testing phase in case of any errors. In this blog post of the series, we will explore the use of Site Reliability Guardian (SRG) in more detail.

DevOps 202