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Dynatrace study: How your peers use cloud automation to innovate faster (Part 1)

Dynatrace

Here’s a quick graphical comparison of the Pivotal Dev-to-Ops ratio, that of the Dynatrace elite category, and the average ratio identified by the survey. The size and complexity of today’s cloud environments will continue to expand with the speed and innovation required to remain competitive. And how about your processes?

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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. This slow feedback and time spent rerunning tests can hinder the overall software deployment process.

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The top four log analytics and log management best practices

Dynatrace

Gartner® predicts that by 2026, 40% of log telemetry will be processed through a telemetry pipeline product, up from less than 10% in 2022.* A best practice to avoid these problems is to store data in a single data lakehouse with massively parallel processing, such as Dynatrace Grail. Set up processing rules.

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Answer-driven release validation with Dynatrace SaaS Cloud Automation

Dynatrace

While increased frequency of release cycles does allow for faster delivery of innovation to the market, it requires automation and a high level of reliability to avoid introducing risks into production systems. Service-level indicators (SLIs) are checked against your SLOs early in the lifecycle, including comparison against previous builds.

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. Enterprises that fail to adapt to these innovations face extinction.

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APM tools vs. APM platform: What’s the difference?

Dynatrace

What was once a straightforward process in the days of monolithic applications is now considerably more complex. In comparison, APM platforms provide a single integrated platform using AI and automation to deliver a precise, context-aware analysis of the application environment. What is the impact of APM on the business?

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Amplify PowerUP: From APM to Observability

Dynatrace

But the cloud is forcing a rethink of tooling, platforms, technologies, and services to power new, agile, applications and application components, that break down silos, and use AI and automation to accelerate innovation. Traditional approaches and tooling simply don’t work in the new cloud world.

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