@claudeai I have been faithful claude user since a year or so, never liked switching to openai, but this time I honestly am not excited, I just really dont want to even try Sonnet 5 and probably will never try it
Tried the @MistralAI Vibe for coding, was surprised how good it was. the way it understood crucial software architecture and coding with python and threejs. The only downside is the 200K context limit gets filled up really fast
@ashleyhindle Welcome to the club, founder of https://t.co/b2HjrrKuVk -- was in your situation before and did the same thing you did, only I give this away for free :)
Prepping for a DevOps / SRE interview?
Don't sleep on this free q&a hub
👉 https://t.co/SRBCxtjFk3
Its like a compact roadmap of what you actually need before interview day hits you
Everything's grouped by real tech areas:
- Ansible, AWS, Docker, GitHub Actions, GitLab CI/CD, Kubernetes, Linux, networking, Terraform, PostgreSQL - and more
That's the whole point
You study by stack, not by random trivia that goes nowhere.
Here's how to actually get the most out of it:
1. Run topic drills, pick one area - say Kubernetes. List the core internals. Then walk through real stuff like readiness vs liveness probes, or ingress vs service mesh. Why would you pick one over the other? Think it through
2. Turn questions into cheatsheets. Write your own notes. Real-world tradeoffs - canary vs blue/green, circuit breakers, retries, timeouts. In your own words, not copy-paste
3. Mix basics with system thinking. For networking, don't just memorize ports. Trace a request through a 3-tier app and ask yourself - where can this actually break?
4. Connect concepts to reliability goals. Map IAM, VPCs, autoscaling to SLOs and error budgets. The goal is explaining why decisions get made, not just what they are
5. Practice talking through outages. Pick a "service is down" scenario. Walk through metrics -> logs -> traces -> recovery. That's literally what SRE interviews are testing for
No fluff, no filler
#interview_questions #devops #sre #cloud #kubernetes #k8s #terraform #linux #interview #aws
@DanutPralea What a good life it was 😅 well no big deal.. we just have to adapt, should be easier in a world with AI then it was back then without the resources we have today
I underestimated the marketing side of building software, even when offering a service for free forever! I shipped a websockets service, with absolutely no idea how to share with people that would need it.
-> https://t.co/5fQo5G804R where do i go from here?
#buildinpublic
@DanutPralea Honestly I have been building web sites when I was a kid before 2009, and from I remember the internet was more alive because things would get traction on their own. After many years not publishing anything I find the internet to be different.. its fascinating tbh