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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 207
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What is DevOps orchestration? And why invest in orchestration tools?

Dynatrace

Organizations are increasingly adopting DevOps to stay competitive, innovate faster, and meet customer needs. By helping teams release new software more frequently, DevOps practices are an essential component of digital transformation. Thankfully, DevOps orchestration has evolved to address these problems.

DevOps 219
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Scale DevOps and SRE with open source Keptn

Dynatrace

When it comes to site reliability engineering (SRE) initiatives adopting DevOps practices, developers and operations teams frequently find themselves at odds with one another. Operations teams want to make sure the system doesn’t break. Too many SLOs create complexity for DevOps. Classic automation has limits.

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Site reliability engineering: Six SRE trends to unleash DevOps innovation

Dynatrace

Site reliability engineering (SRE) continues to gain popularity as organizations embrace hybrid cloud strategies and IT automation at scale. By applying software engineering principles to operations and infrastructure practices, SRE enables organizations to streamline and automate IT processes. Dynatrace news.

DevOps 148
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Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

Platform engineering is on the rise. According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026.

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Application observability meets developer observability: Unlock a 360º view of your environment

Dynatrace

Cloud complexity and data proliferation are two of the most significant challenges that IT teams are facing today. Modern cloud complexity is becoming nearly impossible for human beings to manage without AI and automation. Modern cloud complexity is becoming nearly impossible for human beings to manage without AI and automation.

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

Dynatrace

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. AI data analysis can help development teams release software faster and at higher quality. In what follows, we explore these key cloud observability trends in 2024. Enter causal AI.