Remove Engineering Remove Metrics Remove Speed
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Transform data into insights with Dynatrace Dashboards and Notebooks

Dynatrace

Our latest enhancements to the Dynatrace Dashboards and Notebooks apps make learning DQL optional in your day-to-day work, speeding up your troubleshooting and optimization tasks. These ready-made dashboards offer your platform engineers, who oversee Kubernetes environments, immediate and comprehensive data visibility.

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New continuous compliance requirements drive the need to converge observability and security

Dynatrace

I realized that our platforms unique ability to contextualize security events, metrics, logs, traces, and user behavior could revolutionize the security domain by converging observability and security. Collect observability and security data user behavior, metrics, events, logs, traces (UMELT) once, store it together and analyze in context.

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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. Automation, automation, automation.

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How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs.

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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing enables software engineers to model their applications’ business logic as high-level representations in a directed acyclic graph without explicitly defining a physical execution plan. We designed experimental scenarios inspired by chaos engineering. Chaos scenario: Random pods executing worker instances are deleted.

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Tutorial: Guide to automated SRE-driven performance engineering

Dynatrace

In this blog, I will be going through a step-by-step guide on how to automate SRE-driven performance engineering. These tags will allow us to create dashboards, request attributes or calculate service metrics specifically for our application under test. This allows us to analyze metrics (SLIs) for each individual endpoint URL.

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How Dynatrace empowers performance engineering teams to test at scale

Dynatrace

But because of the complexity involved in executing and analyzing test results of dynamic systems, performance engineering is difficult to scale — especially with lean staff or resources. Grabner also introduced four ways organizations can turbocharge their performance engineering with automation.