stakpak

So it carries the operational context across incidents and sessions instead of starting from zero every time. Install Stakpak -> Run /init 🔗stakpak.dev

Knowledge Store is our new approach to agent memory for infrastructure. It helps Stakpak remember what changed, what broke before, and what patterns keep repeating across your environments. 🧶..

@smbclient1 Happy to connect, we are working on an open source vendor neutral agent that monitors your infra 24/7 and can auto fix infrastructure issues safely stakpak.dev

Looking to connect with: cloud engineers, SOC analysts, cybersecurity students, threat intelligence analysts, and security architects.

@TechAheadAnkit @CaptainKramer_ one more step closer to fully autonomous infrastructure

@stakpak_dev @CaptainKramer_ That sounds crazy.

Hey founders and devs on X.. Looking to connect with people building in: 🍽️ SaaS 🚀Tech 🤖AI tools 📲Product Development 💻Devs Drop what you're working on 👇

“Send me your .env file” might be the scariest debugging message on the internet. Stakpak is automatically redacts secrets, so it never reaches your LLM provider. Your agent should debug production, not leak your secrets. Install Stakpak -> Run /Init 🔗stakpak.dev

@RDarrylR Did you try Stakpak? its open source and vendor neutral It monitors your infrastructure 24/7, auto resolve infra issues when its safe and only escelate to you when it actually matters stakpak.dev

Setting up #observability of #Kubernetes is important to monitor the status and debug issues when they arise. There are many approaches you can take for this but likely the most common is using Prometheus and Grafana. The example below shows setting these up. #Prometheus is a really nice open-source tool for collecting data from your cluster and Grafana is great for building visuals to monitor with. Many standard views are included but you can also build your own and also create your own custom metrics using these tools. All you need to set these up is Helm and kubectl. Daisuke Kikuchi shows the steps below needed for setting these up as part of a series of articles related to setting up stress testing using #Terraform and #Ansible. lckhd.eu/V1yIbx

@Anupam_Devops Did you try Stakpak? its open source and vendor neutral It monitors your infrastructure 24/7, auto resolve infra issues when its safe and only escelate to you when it actually matters stakpak.dev

Day 6 — DevOps Debugging Masterclass CPU at 99%. On-call just paged you. Stay calm. 60-second triage: • top -c → sort by CPU, spot the PID • ps aux --sort=-%cpu | head -10 • pidstat -u 1 5 → per-process CPU over time • perf top → which function is hot (needs root) • strace -p → what syscalls is it making? Quick wins: • Infinite loop → restart + patch • Runaway cron → crontab -l then kill • Fork bomb → ulimit -u to cap processes Always take a flamegraph before killing the process. Evidence first.

@thedeadrobot Did you try Stakpak? its open source and vendor neutral It monitors your infrastructure 24/7, auto resolve infra issues when its safe and only escalates to you when it actually matters stakpak.dev

every production incident is a race between root cause analysis and the next deploy. usually the deploy wins.

@AKirtesh Did you try Stakpak? its open source and vendor neutral It monitors your infrastructure 24/7, auto resolve infra issues when its safe and only escelate to you when it actually matters stakpak.dev

Observability tools you actually need in production 👇 Prometheus - metrics collection Grafana - metrics visualization Jaeger - distributed tracing ELK Stack - log management PagerDuty - incident management Sentry - error tracking Datadog - all in one platform New Relic - APM monitoring OpenTelemetry - vendor neutral UptimeRobot - uptime monitoring Save this. 📌 Which tool is in your stack? 👇

@AvantAITech Did you try Stakpak? its open source and vendor neutral It monitors your infrastructure 24/7, auto resolve infra issues when its safe and only escelate to you when it actually matters stakpak.dev

Things that only happen on Fridays after 4pm: → The production incident you can't reproduce in staging → The deploy that was "definitely safe" → The database migration that "shouldn't take long" → The on-call engineer who "just stepped out" Have a good weekend. Your infra will try its best😏

@Anupam_Devops Actually, it fixes itself Did you try Stakpak? its open source and vendor neutral It monitors your infrastructure 24/7, auto resolve infra issues when its safe and only escalates to you when it actually matters stakpak.dev

Your first production incident will change you. Not a tutorial. Not a lab with a reset button. Real users. Real data. Real consequences. Real panic. 4:47 AM — The page. “CRITICAL: prod down” Heart rate spikes. Sleep is gone. You don’t even know what’s broken yet. The denial “Maybe it’ll fix itself…” It doesn’t. The chaos SSH. Random commands. Half-Google, half-guessing. Slack explodes. Managers join. “ETA?” You have none. The fix: 45 minutes later… one config line. Deploy → green ✅ Silence. Finally breathing again. The after Postmortem written. Checks added. Alerts configured. You just learned more in 45 minutes than months of tutorials. Before vs After your first incident. Before: • Restart first, think later • Google in panic • “Is this bad?” • Assume staging = prod • Monitoring… later After: • Read logs first. Always • Follow a debugging path • Stay calm, communicate clearly • Mirror prod in staging • Add alerts immediately No course teaches this. The pressure. The responsibility. The relief. It rewires how you think about systems. You’ll dread your first one. You’ll learn the most from it. And next time… you’ll be ready. What seniors know: Incidents shake you. Postmortems build you. Write what happened. Why it happened. What you changed. That document is worth more than any certification.

@jasonngsx Did you try Stakpak? its open source and vendor neutral It monitors your infrastructure 24/7, auto resolve infra issues when its safe and only escelate to you when it actually matters stakpak.dev

9. The On-Call Runbook Generator "You are a senior SRE who has written runbooks for every major production incident type and knows that a runbook written at 3am during an incident is a runbook that gets ignored, because the best runbook is the one that exists before the incident. I need a complete on-call runbook for my service. Do the following: - Service overview: what it does, who owns it, blast radius if it goes down - Architecture diagram in text (ASCII or Mermaid) showing all dependencies - Alert glossary: for each alert, what it means, immediate action, escalation path - Common incident playbooks: high CPU, high memory, database connection exhaustion, deployment rollback, traffic spike - Escalation contacts with roles (L1 on-call, L2 escalation, DBA, on-call manager) - Post-incident template: timeline, root cause, contributing factors, action items - Useful commands: how to check logs, restart services, verify health, roll back a deploy Format as a complete markdown runbook I can commit to my repo. My service architecture: [PASTE HERE]"

AI can now configure your entire infrastructure like a senior DevOps engineer who charges $150/hr. For free. Here are 9 DeepSeek prompts that replace $1,200 worth of DevOps consulting:

@techyoutbe just ask stakpak to optimize it and it will Its open source and vendor neutral stakpak.dev

CI/CD pipeline taking 25+ minutes on GitHub Actions. How do you optimize build time for large Next.js + AI apps?

@TechAheadAnkit @CaptainKramer_ We are working on an open source vendor neutral agent that monitors your infra 24/7 and can auto fix infrastructure issues safely stakpak.dev

@CaptainKramer_ I am working on FastAPI application and a GitHub Actions project.

@gooohjy Nothing builds trust in automation like a cron job with a +3 hour SLA 😭 Stakpak Autopilot would’ve at least alerted you that the workflow never ran instead of finding out 3 hours later. stakpak.dev

github actions is getting on my nerves!!!! wym my cron job ran 3hrs after it was scheduled

@sankar2704 This is exactly the kind of problem we think about while building Stakpak Terraform reconciles code, state, and provider behavior Not intent A small change can become destructive The hard part isnt terraform apply its knowing if change is actually safe stakpak.dev

A Terraform apply was triggered for a small change. The expectation was a minor update. Instead, Terraform planned to recreate a critical resource. After reviewing: The resource had been modified manually in the portal State file did not reflect the actual configuration A default setting had changed in the provider version Terraform was trying to align reality with its state, not with intention. The fix required reconciling state and understanding what changed outside code. Situations like this highlight why consistency between code and actual infrastructure matters, and that State file is always important

@0xPrajwal_ We have secret redaction, the llm provider would never see your secrets Stakpak is an open source vendor neutral agent that can auto fix infra issues stakpak.dev

If I give my .env to a LLM… will it leak my API keys later?

@uday_devops Happy to connect, we are working on an open source vendor neutral agent that can auto resolve incidents stakpak.dev

Looking to connect with people like you who are in 👨‍💻 Tech 💻 SaaS 🤖 AI tools ⚙️ Automation 📦 Web apps 🎯 No-code tools No team. No funding. Just shipping. Let's connect together. Let's grow together. Let's build together.

@devops_nk We have secret redaction in stakpak, this would never happen haha Stakpak is open source and vendor neutral and it can auto fix infra issues, and it will never leak your secrets. stakpak.dev

ChatGPT BTW

@dranthoniaeddo Happy to conncet we are working on stakpak, its open source, vendor neutral agent that can auto fix infrastructure issues stakpak.dev

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