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The State of DevOps Automation assessment: How automated are you?

Dynatrace

DevOps automation eliminates extraneous manual processes, enabling DevOps teams to develop, test, deliver, deploy, and execute other key processes at scale. Automation can be particularly powerful when applied to DevOps workflows. Examples of qualitative questions include: How is automation created at your organization?

DevOps 182
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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 187
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Observability Architecture: Financial Calculations Example

DZone

This series will take a look at fixing that omission with an open-source standards-based cloud-native observability platform that helps DevOps teams control the speed, scale, and complexity of a cloud-native world for their financial payments architecture.

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DevOps observability: A guide for DevOps and DevSecOps teams

Dynatrace

As organizations accelerate innovation to keep pace with digital transformation, DevOps observability is becoming a critical key to success for DevOps and DevSecOps teams. DevOps and DevSecOps practices help organizations release software faster and more frequently, paving the way for digital transformation.

DevOps 194
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Service level objective examples: 5 SLO examples for faster, more reliable apps

Dynatrace

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. Teams can build on these SLO examples to improve application performance and reliability. In this post, I’ll lay out five SLO examples that every DevOps and SRE team should consider.

Traffic 173
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Elevating System Management: The Role of Monitoring and Observability in DevOps

DZone

In the ever-evolving world of DevOps , the ability to gain deep insights into system behavior, diagnose issues, and improve overall performance is one of the top priorities. Monitoring and observability are two key concepts that facilitate this process, offering valuable visibility into the health and performance of systems.

DevOps 316
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DevOps automation: From event-driven automation to answer-driven automation [with causal AI]

Dynatrace

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. Though the industry champions observability as a vital component, it’s become clear that teams need more than data on dashboards to overcome persistent DevOps challenges.

DevOps 217