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Dynatrace ensures continuous software quality by combining synthetic monitoring and automatic release validation

Dynatrace

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. The ability to scale testing as part of the software development lifecycle (SDLC) has proven difficult.

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

Dynatrace

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. Platform engineering is on the rise.

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

Dynatrace

Both SREs and application teams invest substantial time and effort in locating and rectifying software glitches within their local environments. As a result, businesses and SREs can redirect their manual diagnostic efforts toward fostering innovation. Configure an action for the Site Reliability Guardian in the workflow. What’s next?

DevOps 200
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Uplevel production resiliency with automated problem remediation

Dynatrace

While development teams focus on innovation and quick release cycles, operations teams and Site Reliability Engineers (SREs) focus on stability. Of course, your customers expect both fast innovation and reliability. Then you can orchestrate the software development lifecycle and remediate issues automatically. Dynatrace news.

DevOps 226
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What is full stack observability?

Dynatrace

Full-stack observability is fast becoming a must-have capability for organizations under pressure to deliver innovation in increasingly cloud-native environments. DevOps teams can also benefit from full-stack observability. With improved diagnostic and analytic capabilities, DevOps teams can spend less time troubleshooting.

DevOps 228
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Black Hat 2023: Pairing causal AI and generative AI for cybersecurity threats

Dynatrace

They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. Second, for causal AI to provide a deep and rich context to unleash GPT’s full potential for software delivery and productivity use cases.” This vulnerability assessment can happen in real time with no manual effort.

DevOps 182
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A three-step implementation guide to answer-driven SLO-based release validation

Dynatrace

The Dynatrace Software Intelligence Platform already comes with release analysis, version awareness , and Service Level Objective (SLO) support as part of the Dynatrace Cloud Automation solution , helping DevOps and SRE teams automate the delivery and operational decisions. Dynatrace news. 03:24 – Pre-Requisites.

DevOps 244