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Bringing Software Engineering Rigor to Data

DZone

In software engineering, we've learned that building robust and stable applications has a direct correlation with overall organization performance. The data community is striving to incorporate the core concepts of engineering rigor found in software communities but still has further to go. Posted with permission.

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Key Application Performance Metrics From the Viewpoint of a Statistician-Turned-Developer

DZone

Now that you’ve deployed your code, it’s time to monitor it, collect data, and analyze your metrics. Without application performance monitoring in place, you can’t accurately determine how well things are going. Is the app performant? Are people using your app? Do the pages load quickly? Are your users experiencing any errors?

Metrics 246
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Auto-adaptive thresholds for AI-driven quality gating

Dynatrace

Build an umbrella for Development and Operations In modern software engineering, the discipline of platform engineering delivers DevSecOps practices to developers to bridge the gaps between development, security, and operations and enhance the developer experience. However, other data formats, like logs, can also be employed.

Metrics 217
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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. Flink is the best candidate when EOS guarantees are necessary.

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Revolutionizing Observability: How AI-Driven Observability Unlocks a New Era of Efficiency

DZone

Observability is the ability to measure the state of a service or software system with the help of tools such as logs, metrics, and traces. In this article, we will discuss the importance of observability in distributed systems, the different tools used for monitoring, and the future of observability and Generative AI.

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A Note to Business Leaders on Software Engineering

Strategic Tech

you will get exactly what you pay for…low-performing software teams. You will be handing the initiative to your competitors who invested in their software development capabilities and are out-innovating you as a result. How do I create high performing teams to out-innovate the competition?

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How Red Hat and Dynatrace intelligently automate your production environment

Dynatrace

Problem remediation is too time-consuming According to the DevOps Automation Pulse Survey 2023 , on average, a software engineer takes nine hours to remediate a problem within a production application. With that, Software engineers, SREs, and DevOps can define a broad automation and remediation mapping.

DevOps 285