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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. Recovery time of the latency p90.

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How BizDevOps can “shift left” using SLOs to automate quality gates

Dynatrace

As more organizations respond to the pressure to release better software faster, there is an increasing need to build quality gates into every stage of BizDevOps processes , from early development to deployment. Dynatrace news. What are quality gates? Using quality gates for measurable impacts. The value of fixing issues up-front.

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How To Use BenchmarkDotNet: 6 Simple Performance-Boosting Tips To Get Started

DZone

As software engineers, we are always striving for high performance and efficiency in our code. Whether it’s optimizing algorithms or fine-tuning data structures, every decision we make can have a significant impact on the overall performance of our applications.

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PostgreSQL vs. Oracle: Difference in Costs, Ease of Use & Functionality

Scalegrid

Compare ease of use across compatibility, extensions, tuning, operating systems, languages and support providers. Software Update License & Support (annual). $0. Oracle also offers many tools, but they are all available as add-on solutions with additional processor license and software update license costs and support fees.

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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly

Most teams approach this like traditional software development but quickly discover it’s a fundamentally different beast. Check out the graph belowsee how excitement for traditional software builds steadily while GenAI starts with a flashy demo and then hits a wall of challenges? Whats worse: Inputs are rarely exactly the same.

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Automated incident management and remediation drive organizational resiliency

Dynatrace

With an observability platform powered by contextual software intelligence, organizations can gather data on incidents in real-time and proactively. “We were able to … fine-tune our systems in a very performant way,” notes Hood. “Our brain, the source of that knowledge, was the information coming from Dynatrace.”

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Common use-cases for AWS Lambda in the enterprise (and how to get observability for them)

Dynatrace

Nonetheless, operating Lambda functions comes with its own unique challenges and—especially when used within enterprise stacks—the operational requirements are the same as for any other piece of software. These served as our benchmark when creating our Lambda monitoring extension. So, stay tuned for more blog posts and announcements.

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