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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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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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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). In a unified strategy, logs are not limited to applications but encompass infrastructure, business events, and custom metrics. Limit the scanned data Dealing with a large influx of log data?

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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 196
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Applying real-world AIOps use cases to your operations

Dynatrace

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. A huge advantage of this approach is speed. Of course, this information must be available to the AI and, therefore, part of the entity.

DevOps 196
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AWS re:Invent 2023 guide: Generative AI takes a front seat

Dynatrace

However, with a generative AI solution and strategy underpinning your AWS cloud, not only can organizations automate daily operations based on high-fidelity insights pulled into context from a multitude of cloud data sources, but they can also leverage proactive recommendations to further accelerate their AWS usage and adoption.

AWS 209
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What is artificial intelligence? See how it differs from machine learning in IT ops

Dynatrace

Machine learning algorithms use vast amounts of data to train systems and allow them to draw accurate conclusions based on available information. Armed with deterministic AIOps platforms , businesses can streamline problem resolution, boost the speed of DevOps efforts, and frees engineers to focus on what really matters.