Top Tweets for #microService
checkout here:
Github : https://t.co/UjRFl6i6q3
#SystemDesign #Redis #microservice #architecture
#backend #devcommunity
🚀 Learn APIs from the ground up!
Discover Microservices, REST APIs, Serverless Architecture, and API Testing with Swagger in this practical live session.
✅ API Fundamentals
✅ REST APIs
✅ Microservices
🌐 https://t.co/vjSTohSL37
📞 +1 (332) 241-0126
#API #RESTAPI #Microservice

You cannot draw clean #microservice boundaries around a product you don't fully understand yet. #Startups are still discovering their domain model. If you guess the service boundaries wrong on day one, you end up with a highly coupled, distributed nightmare that requires 4 cross-team meetings just to ship a button change."
How @ZeptoNow Fixed #Microservice Chaos with #Backstage
Zepto scaled rapidly, engineering complexity exploded: hundreds of services, fragmented tooling, slow onboarding, deployment friction.
https://t.co/bRgiYWvz2I #PlatformEngineering #Kubernetes #ArgoCD #GitOps
Day 620 of #700DaysOfCode
Implementing the Order Service in my .NET microservice application.
#microservice

As Zepto scaled rapidly, engineering complexity exploded: 100s of services, fragmented tooling, slow onboarding, deployment friction.
How Zepto Fixed #Microservice Chaos with #Backstage
https://t.co/bmXy0YOIKY #PlatformEngineering #Kubernetes
Evolve your services safely! Don't miss @spencerbgibb & @csterwa at #DevNexus 2026. They'll show you how #Spring Cloud Gateway's new support for #API versioning leads to predictable, better-integrated #microservice architectures.
March 5th @ 11:20 AM: https://t.co/31yt0InAJR

Day 05 | BlueSaga
Flow: Cart → Order → Payment
Implemented order confirmation UI, customer details forms, payment status screens (success/fail), order preview before payment, and discard order flow.
Covering the complete checkout UI lifecycle.
#Dotnet #React #microservice

A little gift for @dhh: why #Microservice Architecture is worth it. Hope he can read German! 😂
Five years on our journey from a Monolith to Microservices—and what a ride it’s been.
Enjoy! 🙏🏽
Slides: https://t.co/1vjELie4Fb
Microservices is the software industry’s most successful confidence scam. It convinces small teams that they are “thinking big” while systematically destroying their ability to move at all. It flatters ambition by weaponizing insecurity: if you’re not running a constellation of services, are you even a real company? Never mind that this architecture was invented to cope with organizational dysfunction at planetary scale. Now it’s being prescribed to teams that still share a Slack channel and a lunch table.
Small teams run on shared context. That is their superpower. Everyone can reason end-to-end. Everyone can change anything. Microservices vaporize that advantage on contact. They replace shared understanding with distributed ignorance. No one owns the whole anymore. Everyone owns a shard. The system becomes something that merely happens to the team, rather than something the team actively understands. This isn’t sophistication. It’s abdication.
Then comes the operational farce. Each service demands its own pipeline, secrets, alerts, metrics, dashboards, permissions, backups, and rituals of appeasement. You don’t “deploy” anymore—you synchronize a fleet. One bug now requires a multi-service autopsy. A feature release becomes a coordination exercise across artificial borders you invented for no reason. You didn’t simplify your system. You shattered it and called the debris “architecture.”
Microservices also lock incompetence in amber. You are forced to define APIs before you understand your own business. Guesses become contracts. Bad ideas become permanent dependencies. Every early mistake metastasizes through the network. In a monolith, wrong thinking is corrected with a refactor. In microservices, wrong thinking becomes infrastructure. You don’t just regret it—you host it, version it, and monitor it.
The claim that monoliths don’t scale is one of the dumbest lies in modern engineering folklore. What doesn’t scale is chaos. What doesn’t scale is process cosplay. What doesn’t scale is pretending you’re Netflix while shipping a glorified CRUD app. Monoliths scale just fine when teams have discipline, tests, and restraint. But restraint isn’t fashionable, and boring doesn’t make conference talks.
Microservices for small teams is not a technical mistake—it is a philosophical failure. It announces, loudly, that the team does not trust itself to understand its own system. It replaces accountability with protocol and momentum with middleware. You don’t get “future proofing.” You get permanent drag. And by the time you finally earn the scale that might justify this circus, your speed, your clarity, and your product instincts will already be gone.
@Hiteshdotcom Aapka opinion ky hai sirjee, bcoz Market me AI ki trend hai so confusion bohot hai - GenAI sikh kr bhi long term me beneficial hai ky ?
#Java ? #React ? #Python ? #PythonWithGenAI ? #NodeJS ? #Microservice ?
📔Our #paper "Zync: A #microservice platform for #IoT device management and complex #event monitoring" by Jesús Rosa-Bilbao, Roberto González-Álvarez & Juan Boubeta-Puig has been published in Computers & Electrical Engineering (Elsevier): https://t.co/2jcA15kLvQ
@univcadiz

From concept to code: Learn how #AI can streamline your #microservice architecture, secure your APIs, and solve real-world challenges with practical tools and case studies. 🔐⚙️#AIinTech #Microservices #APISecurity #SoftwareArchitecture #DevLife 📚
🔗 https://t.co/YOvHjTBhZ7

Connect independent #OpenShift clusters into one cohesive application network for secure, seamless #microservice communication.
https://t.co/Ynkt7abJdF
The second edition of building event driven micro services was released and you can already download your fee copy here:
https://t.co/zxzVWK8ApT
#kafka #event #streaming #microservice #confluent
Impulse - #Airbnb’s internal #LoadTesting framework designed to boost #microservice reliability & performance.
It enables distributed, large-scale testing and allows teams to run self-service, context-aware load tests integrated with CI pipelines.
🔗 https://t.co/UsJlk0CLPn

From concept to code: Learn how #AI can streamline your #microservice architecture, secure your APIs, and solve real-world challenges with practical tools and case studies. 🔐⚙️#AIinTech #Microservices #APISecurity #SoftwareArchitecture #DevLife 📚
🔗 https://t.co/YOvHjTBhZ7

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