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Automating DevOps practices fuels speed and quality

Dynatrace

Still, while DevOps practices enable developer agility and speed as well as better code quality, they can also introduce complexity and data silos. Software development is often at the center of this speed-quality tradeoff. Automating DevOps practices boosts development speed and code quality.

DevOps 290
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4 Software QA Metrics To Enhance Dev Quality and Speed

DZone

In an attempt to hold their place within the market, developers are having to speed their process up whilst delivering products of ever-increasing quality. Often speed and quality seem at odds with one another, but in reality, this isn’t the case. In 2019, according to Evans Data Corporation, there were 23.9

Speed 290
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Dynatrace on Microsoft Azure in Australia enables regional customers to leverage AI-powered observability

Dynatrace

Dynatrace on Microsoft Azure allows enterprises to streamline deployment, gain critical insights, and automate manual processes. This local SaaS presence minimizes latency and maximizes the speed and reliability of data access. The result? Optimized performance and enhanced customer experiences.

Azure 278
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Secrets Detection: Optimizing Filter Processes

DZone

While increasing both the precision and the recall of our secrets detection engine, we felt the need to keep a close eye on speed. In a gearbox, if you want to increase torque, you need to decrease speed. So it wasn’t a surprise to find that our engine had the same problem: more power, less speed.

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Microsoft Ignite 2024 guide: Cloud observability for AI transformation

Dynatrace

The Grail™ data lakehouse provides fast, auto-indexed, schema-on-read storage with massively parallel processing (MPP) to deliver immediate, contextualized answers from all data at scale. Through Azure Native Dynatrace Service, customers can seamlessly adopt these technologies to modernize and enhance their cloud operations.

Cloud 263
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Helping customers unlock the Power of Possible

Dynatrace

Dynatrace transforms this unstructured data into a strategic advantage, processing it automatically—no manual tagging required. By automating root-cause analysis, TD Bank reduced incidents, speeding up resolution times and maintaining system reliability. With over 2.5 The result?

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Cut costs and complexity: 5 strategies for reducing tool sprawl with Dynatrace

Dynatrace

Break data silos and add context for faster, more strategic decisions Data silos : When every team adopts their own toolset, organizations wind up with different query technologies, heterogeneous datatypes, and incongruous storage speeds.

Strategy 262