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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 205
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Automated Change Impact Analysis with Site Reliability Guardian

Dynatrace

Powered by Grail and the Dynatrace AutomationEngine , Site Reliability Guardian helps DevOps platform teams make better-informed release decisions by utilizing all the contextual observability and application security insights of the Dynatrace platform. This is where Site Reliability Engineering (SRE) practices are applied.

DevOps 220
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Implementing AWS well-architected pillars with automated workflows

Dynatrace

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 248
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How Dynatrace boosts production resilience with Site Reliability Guardian

Dynatrace

The Dynatrace Site Reliability Guardian is designed for this practice; it allows development teams to define quality objectives in their code, which is validated throughout the delivery process before the code reaches production. The functionality is implemented via an automated workflow.

DevOps 188
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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.

Testing 252
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Accelerate and empower Site Reliability Engineering with Dynatrace observability

Dynatrace

In this blog post, we’ll delve deeper into these categories to gain a comprehensive understanding of their significance and the challenges they present. Process Improvements (50%) The allocation for process improvements is devoted to automation and continuous improvement SREs help to ensure that systems are scalable, reliable, and efficient.

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

Dynatrace

So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights? A composite approach combines predictive , causal , and generative AI to ensure better data reliability. Join us at Dynatrace Perform 2024 , either on-site or virtuall y, to explore these themes further.