Senior DevOps Engineer @ionet | CNCF Kubestronaut
Joined July 2025
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The future of AI compute doesn't run on hype.
It runs on real utility, real burns, and a network that gets stronger every time it's used.
The Incentive Dynamic Engine (IDE) is now live!
io.net/blog/a-new-tokenomics…
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I am personally done with the Modi government now, primarily because of the lack of accountability.
If Prime Minister Modi had held a press conference, which is a critical part of democracy, and if Dharmendra Pradhan had resigned, I might still have supported Modi.
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But now, I am done with them.
I support any movement that demands answers and accountability. And if CJP does that, then I will stand with them.
#CockroachJantaParty
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Vikash Kaushik retweeted
Jun 5
Find something you are good at.
Get better at it.
Then take a leap of faith and go all in.
That’s the way to freedom.
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I have set up the Loki and Prometheus MCP, then configure cronjob which used AI agents to send the ai summary using those MCPs.
then a Slack bot so it can respond to any queries in natural language.
such a beast 🙌
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AI summary of health check of the stack, we use cost updates, etc.
In general, language can send RCA with the alerts and suggest the steps to fix it.
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K8S on on-prem with a very close env is very complex. I have experience with this, which led me to learn fantastic k8s networking and believe me, once you sort out networking and RBAC, your confidence will be at the next level.
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Vikash Kaushik retweeted
May 20
.@solana DePIN hit $9.1M in quarterly revenue in Q1 2026, up 28% QoQ.
Helium and Geodnet alone drove 94% of that, which clearly shows the demand for decentralized physical infrastructure isn't a thesis anymore... it's real revenue, real users, real growth & we're still early 👀
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One concern I see with AI is that engineers may miss small details, which can lead to serious credential leaks and more security incidents at major IT companies.
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AKS cluster costs sneak up with over-provisioned nodes and inefficient autoscaling. Resource requests for Pods are key.
How do you fine-tune AKS autoscaling for cost efficiency without sacrificing performance?
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Which LLM do you find most effective for generating or validating Infrastructure as Code?
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OpenAI GPT-4
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Anthropic Claude
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Google Gemini
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Local/OSS model
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gonna deploy loki and thinking to integrate to send it to slack with RCA
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How do your teams primarily access runbooks for Kubernetes incidents?
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Git (GitHub/GitLab)
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Internal Wiki
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Dedicated Platform
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K8s Manifests
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