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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. The ability to effectively manage multi-cluster infrastructure is critical to consistent and scalable service delivery.

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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. billion by 2026 according to numerous market research reports. What is log monitoring? Log monitoring vs log analytics. Dynatrace news.

Analytics 214
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Why you need a unified, AI-powered log management solution

Dynatrace

Traditional monitoring approaches worked fine when an operator was tasked with tracking a simple, static system,” wrote Ali Siddiqui in “ How to harness the power of observability, AIOps and automation.” during 2021–2026. And according to 451 Research, 83% of organizations plan to adapt their monitoring process.

Analytics 147
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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.* The first best practice is to consolidate log management with application monitoring in a single platform.

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APRA CPS 230 compliance, explained

Dynatrace

For pre-existing contractual arrangements with service providers, the standard will only apply from the next contract renewal date or 1 July 2026, whichever comes first. Unified observability is the ability to know how systems and infrastructure are performing based on the data they generate, such as logs, metrics, and traces.

Cloud 227
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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

Platform engineering improves developer productivity by providing self-service capabilities with automated infrastructure operations. Organizations increasingly struggle with the challenge of monitoring the explosion of microservices and tools that come with these environments. What is platform engineering?

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Software Testing Trends 2021 – What can we expect?

Testsigma

And is projected to rise by more than 6 percent at CAGR(Compound Annual Growth Rate) between 2020 and 2026? Machine Learning (ML) and Artificial Intelligence (AI) programme testing and QA teams will develop their automatic research techniques, keeping track with recurring updates — with the assistance of analytics and monitoring.