Your deploy queue is a silent tax on every engineer. Every hour a feature sits in "ready to ship" is an hour of compounding cognitive debt — context lost, momentum drained, confidence eroded. The fix isn't a faster pipeline. It's decoupling code from release. Merge to main continuously. Deploy hourly. Release when the business is ready — not when the build system lets you. Flagify turns every feature into a toggle. No release bottleneck. No freeze windows. 100% dev velocity, preserved. Stop taxing your engineers. Try it free → flagify.dev #DeveloperVelocity #FeatureFlags #DevOps #ContinuousDelivery #ShipFaster
Decouple Code from Release with Flagify
More Relevant Posts
-
Me at 10 AM: "This pipeline will be fixed in 20 mins, chill." Me at 10 PM: still in the terminal. Still debugging. Still alive. Barely. Turns out a dev pushed a config change at 4:59 PM on Friday. FOUR. FIFTY. NINE. I've since automated 53 things at work. None of them can automate common sense. What's the dumbest root cause you've ever wasted hours on? Drop it below, we need to suffer together. #DevOps #Kubernetes #CloudComputing #humour #fypppppppp
To view or add a comment, sign in
-
Every developer knows this feeling: You've tested everything. Staging looks clean. PR is approved. But the moment you hit deploy to production, your stomach drops. "What if something breaks?" That fear exists because deployment = release. One action, no undo button. Feature flags fix this permanently. Deploy your code anytime. It sits dormant. When you're ready, toggle it on for 1% of users. Then 10%. Then everyone. If something goes wrong? Toggle off. Instantly. No rollback. No hotfix. No incident channel. Kill the anxiety. Keep the speed. Try Flagify free → flagify.dev #LaunchDay #FeatureFlags #DevOps #ContinuousDelivery #DeveloperExperience
To view or add a comment, sign in
-
The latest update for #Cortex includes "Ask Cortex anything, right from Slack" and "The job is not to write code. It's to produce business value.". #microservices #SRE #devops https://lnkd.in/ebGhkU-j
To view or add a comment, sign in
-
🌟 New Blog Just Published! 🌟 📌 7 Essential Docker Compose Templates Every Developer Needs 🚀 📖 Ever spent hours chasing down a missing library on a teammate’s laptop, only to discover the whole stack is a few versions off? That kind of environment drift adds days to a sprint and makes...... 🔗 Read more: https://lnkd.in/d3niiyu7 🚀✨ #docker-compose #devops #templates
To view or add a comment, sign in
-
Zero downtime isn't about preventing failures, it's about fixing them instantly. ⚡ That is the true power of Kubernetes. In my latest video on "How Kubernetes auto-heals", we put it to the test live in the terminal. I intentionally crash a running application just to watch the system instantly spin up a replacement before the user even notices. See how modern apps stay online 24/7! 👇 🔗 Link in first comment #ZeroDowntime #Kubernetes #AutoHealing #CloudComputing #DevOps #SoftwareEngineering
To view or add a comment, sign in
-
-
When prod breaks at 3PM on a Friday, "git revert" is not a recovery plan. It's a 45-minute ritual — code, review, CI, deploy — while revenue bleeds and Slack burns. The teams that have solved this don't revert faster. They kill features without touching git at all. One toggle. Sub-second. Chaos off. That's what separating deployment from activation actually buys you: 100% less release friction, 100% less panic, 100% less rollback drama. Flagify ships this by default. Every feature is a kill switch. Try it free → flagify.dev #IncidentResponse #FeatureFlags #DevOps #ReleaseEngineering #Production
To view or add a comment, sign in
-
-
💡 Not every deploy is zero-downtime. ⚙️ Our backend deploys take the old pod down before bringing the new one up. The service is unreachable for 30 seconds to 2 minutes during each deploy. Why? Because the alternative (rolling updates) was causing rollout timeouts and unpredictable failures. We chose a brief, predictable gap over an unpredictable rolling deploy. The trade-off: ✅ Cost: schedule deploys outside peak traffic. ✅ Benefit: every deploy finishes cleanly, no flaky half-states. Engineering is often less about "what's the best pattern" and more about "what works for this system." #SoftwareEngineering #DevOps #Engineering #Kubernetes #K8s #CloudNative #SRE #PlatformEngineering
To view or add a comment, sign in
-
Yesterday I had a demo scheduled. Everything was ready… or so we thought. Last-minute changes went in. A quick deployment. “Should be fine.” It wasn’t. The server went down. Nothing was stable. And the demo? Didn’t happen. Not because the feature wasn’t built… but because the environment wasn’t ready. That day taught me something simple: Shipping code is one thing. Being demo-ready is something else entirely. Now I’m more careful about: • avoiding last-minute deployments before demos • validating environments, not just code • having a fallback plan Because sometimes, it’s not the code that fails… it’s the timing. Have you ever had a “perfect demo” fail at the last moment? #softwareengineering #dotnet #backenddevelopment #devops #deployment #lessonslearned #tech
To view or add a comment, sign in
-
🚀 Two weeks ago, I had 2 documentation PRs merged into the official docker/docs repository. 🐳 🔧 PR #24466 — Fixed a stale repository link in Docker Swarm's task states documentation. The SwarmKit project had migrated from docker/swarmkit to moby/swarmkit — the docs weren't updated to reflect this, leaving a broken reference for anyone reading the source. https://lnkd.in/gFWFxDJn 🔧 PR #24467 — Corrected inconsistent task state terminology between services.md and swarm-task-states.md, closing a documentation accuracy gap that could mislead users debugging Swarm task lifecycle transitions. https://lnkd.in/gYFbf-Ua Docker's official docs are read by millions of engineers globally. Keeping them accurate matters. This brings my merged OSS contributions to 3 across docker/docs and kubernetes-sigs/aws-load-balancer-controller — all documentation fixes that improve accuracy and reduce friction for engineers in production. More to come. 🚀 #Docker #OpenSource #Kubernetes #DevOps #PlatformEngineering #CloudNative #CNCF #OSS #TechCommunity
To view or add a comment, sign in
-
A feature is not really done when it works on your machine. It is done when it can survive production. That means thinking beyond the code: ✔️ logging ✔️ monitoring ✔️ rollback plan ✔️ performance ✔️ edge cases ✔️ deployment readiness ✔️ user impact A lot of developers can build features. Fewer can build features that are reliable, observable, and safe to release. Shipping code is easy. Shipping code you can sleep through the night after deploying — that is the real skill. #SoftwareEngineering #SpringBoot #DevOps #SystemDesign #TechLeadership
To view or add a comment, sign in
Explore related topics
Explore content categories
- Career
- Productivity
- Finance
- Soft Skills & Emotional Intelligence
- Project Management
- Education
- Technology
- Leadership
- Ecommerce
- User Experience
- Recruitment & HR
- Customer Experience
- Real Estate
- Marketing
- Sales
- Retail & Merchandising
- Science
- Supply Chain Management
- Future Of Work
- Consulting
- Writing
- Economics
- Artificial Intelligence
- Employee Experience
- Workplace Trends
- Fundraising
- Networking
- Corporate Social Responsibility
- Negotiation
- Communication
- Engineering
- Hospitality & Tourism
- Business Strategy
- Change Management
- Organizational Culture
- Design
- Innovation
- Event Planning
- Training & Development