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Docker Performance Optimization: Real-World Strategies

DZone

After optimizing containerized applications processing petabytes of data in fintech environments, I've learned that Docker performance isn't just about speed it's about reliability, resource efficiency, and cost optimization. Let's dive into strategies that actually work in production. We can fix that with this code below:

Strategy 147
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New continuous compliance requirements drive the need to converge observability and security

Dynatrace

Key insights for executives: Stay ahead with continuous compliance: New regulations like NIS2 and DORA demand a fresh, continuous compliance strategy. Runtime Security integrates seamlessly with static code analyzers, container scanners, and application security testing tools.

Analytics 289
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‘Security as code’ demands proactive DevSecOps

Dynatrace

This is known as “security as code” — the constant implementation of systematic and widely communicated security practices throughout the entire software development life cycle. Speed: Users won’t give organizations a pass on slow performance just because they’re trying to enhance security.

Code 237
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Why vulnerability management enhances your cloud application security strategy

Dynatrace

Meeting the need for speed without exposing exploitable vulnerabilities requires that teams adopt DevSecOps approaches that “shift right” (observability in production) as well as “shift left” (observability in development). Static code scanners don’t cover all scenarios in production, and vulnerabilities often leak through to production.

Strategy 246
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Progressive delivery at cloud scale: Optimizing CPU intensive code with Dynatrace

Dynatrace

And the code-level root cause information is what makes troubleshooting easy for developers. As Dynatrace automatically captures stack traces for all threads at all time the CPU Hotspot analysis makes it easy to identify which code is consuming all that CPU in that particular thread. Step 3: Identifying root-cause in code.

Code 246
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The Three Cs: Concatenate, Compress, Cache

CSS Wizardry

Given that 66% of all websites (and 77% of all requests ) are running HTTP/2, I will not discuss concatenation strategies for HTTP/1.1 We need to learn a little bit more about the rest of our setup before we can make a final decision about our concatenation strategy. ?️ What happens when we adjust our compression strategy?

Cache 348
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Adding business analytics data to your observability strategy delivers better business outcomes

Dynatrace

These integrations often require resource-intensive coding, which makes them error-prone and difficult to maintain. In conjunction with the easy, code-free access to business data with lossless precision from Dynatrace OneAgent , Grail enables you to ingest, retain, and query precise business data at a massive scale.

Analytics 246