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Codemagic

Controlled Rollouts in React Native: How to Push OTA Updates Without Breaking Production

Jun 5, 2026 By Codemagic In Codemagic
The ability to push an update directly to your users’ devices without App Store review, without delay, without any action required from the user, is one of the most powerful capabilities available to a React Native team. Over-the-air (OTA) updates change how fast you can respond to bugs, iterate on features, and ship improvements. But that power cuts both ways. A bad OTA update reaching 100% of your users at once is considerably worse than a bad store release.
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Best 7 Software Engineering Platforms for 2026

Best 7 Software Engineering Platforms for 2026

Jun 5, 2026 By SystemsDigest In SystemsDigest
Software engineering teams are operating in environments that look very different from just a few years ago. Modern development workflows now span Kubernetes clusters, cloud infrastructure, CI/CD pipelines, AI-assisted coding, distributed architectures, internal developer portals, observability platforms, and dozens of engineering tools that all need to work together without slowing delivery velocity.
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speedscale

The AI Code Explosion: Why Your Mocking Strategy is Breaking Down

Jun 4, 2026 By Alan Mon In Speedscale
The rise of AI-assisted coding has transformed how software is built. With tools generating entire features in seconds, the bottleneck is no longer writing code—it’s verifying it. Because AI can generate boilerplate and handle API integrations instantly, more service changes are being pushed into authentication logic, API calls, and configurations. Teams desperately need a way to verify these changes before merging, especially when the code touches external dependencies.
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Testing AI Code is a Security Nightmare? #Speedscale #DevOps #Kubernetes #AICoding #SoftwareTesting

Jun 4, 2026 By Speedscale In Speedscale
AI can write a feature in seconds, but where are you testing it? Sending production traffic, API payloads, and auth headers to a third-party SaaS is a massive security risk. In this video, we break down why the Bring Your Own Cloud (BYOC) model is the ultimate fix for DevSecOps. Learn how to safely test AI-generated code against real production traffic entirely within your own VPC or Kubernetes cluster. No data leaks, no massive DLP pipelines, and no endless masking rules.
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The Bug Hiding in Your Production Traffic

Jun 3, 2026 By Speedscale In Speedscale
Your logs showed 500 errors. The traces showed the dependency graph. Neither showed the actual bug, a DEL control character getting appended to the query string. This is how I found it. In this video I walk through Speedscale BYOC (bring your own cloud): capture real production traffic, store it in your own Elasticsearch cluster inside your VPC, pull it down locally with a single script, and reproduce the exact bug using proxymock. The data never leaves your environment.
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speedscale

Logs told me something broke. Traffic showed me what.

Jun 2, 2026 By Ken Ahrens In Speedscale
Here’s a problem I run into constantly: something breaks in production, I can see the 500 errors in my logs, but I can’t reproduce it locally. The trace shows me the dependency graph but not the actual request that failed. This is especially painful in microservices. I was looking at a CNCF example the other day (a simple demo app, like 4 pods) and it already had so many cross-service dependencies that understanding what broke required looking at the whole system at once.
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speedscale

Your AI agent is fixing the wrong service

Jun 1, 2026 By Ken Ahrens In Speedscale
Everyone wants an AI agent factory in 2026. Autonomous agents fixing bugs and shipping features while you sleep. I’ve been building toward that myself. But the error rates don’t support the fantasy. The best AI coding agents in the world fix about 50% of real bugs on SWE-bench verified. Half the time they fail. And AI-generated code produces 1.7x more issues than human-written code.
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speedscale

The Kubeshark Workflow That Doesn't Stop at the Dashboard

May 27, 2026 By Matthew LeRay In Speedscale
The Observability Gap shows up the moment you try to reproduce a production bug locally. Your traces tell you a request was slow. Your logs tell you which line printed. Neither tells you what was actually on the wire: the headers, the JSON body, the surprise field your client started sending last Tuesday. Until now, closing that gap meant SSHing to a node, attaching a debugger, or shipping a sidecar through change review.
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AI for DevOps: Fueling Innovation at Scale | Full DBTA Webinar

May 27, 2026 By Perforce In Perforce
AI innovation moves fast, but without compliant data access, even the best ML, AI, and analytics initiatives can stall. In this webinar roundtable, experts from Perforce Delphix, 3T Software Labs, and Redgate explore how organizations can accelerate AI delivery without compromising data privacy, security, or compliance. You’ll hear practical insights and real-world examples on how to remove one of the biggest bottlenecks in modern software and data workflows: access to safe, usable, production-like data.
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