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How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

Observability is not only about measuring performance and speed, but also about capturing granular business analytics to support data-driven decision-making. “That means making it available, resilient, and secure,” Grabner said. Dynatrace has made the reference IDP architecture available on GitHub for anyone to use.

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Radically speed up your code by fixing slow or frequent garbage collection

Dynatrace

— Excerpt from How Garbage Collection works in the Dynatrace Performance eBook) . It prevents your application from fully leveraging the available CPU. Any significant reduction in allocations will inevitably speed up your code. This resource is not available to your application. . Save on CPU resources.

Speed 165
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Protecting critical infrastructure and services: Ensure efficient, accurate information delivery this election year

Dynatrace

To address this, state and local governments are adopting multicloud environments to achieve the necessary speed, scale, and agility to keep up with faster digital transformation. Discover more about establishing zero trust practices in government agencies with the free ebook: Achieve zero trust with observability.

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What is synthetic testing?

Dynatrace

Also called continuous monitoring or synthetic monitoring , synthetic testing mimics actual users’ behaviors to help companies identify and remediate potential availability and performance issues. Types of synthetic testing There are three broad types of synthetic testing: availability, web performance, and transaction.

Testing 208
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Shift left vs shift-right: A DevOps mystery solved

Dynatrace

The DevOps approach to developing software aims to speed applications into production by releasing small builds frequently as code evolves. When teams release software into production on the right side of the loop, they make the software available to users. Read our DevOps eBook – A Beginners Guide to DevOps Basics.

DevOps 195
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DevOps monitoring tools: How to drive DevOps efficiency

Dynatrace

Application performance monitoring Application performance monitoring tracks the availability and performance of applications in the field. It examines metrics like response times, application programming interface availability, and page load times to flag problems that affect the user experience.

DevOps 219
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The top four log analytics and log management best practices

Dynatrace

This integrated approach represents significant time savings, drastically reducing MTTI and speeding mean time to resolution (MTTR). A data lakehouse combines the structure and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse. and/or its affiliates in the U.S.