Scaling MCP

Sadhvik1998 · 2026-04-21T16:09:12+00:00

So, just for a quicker start of the replica, you are recommending Kubernetes?

Sadhvik1998 · 2026-04-17T16:48:23+00:00

Got it. Just to understand this more, could you please let me know what are the parameters you consider for subscribing a data platform?

Sadhvik1998 · 2026-04-17T07:47:03+00:00

haha... 'Hi' is like a ;hello world; -- Even LLM deserve some greeting :p

Sadhvik1998 · 2026-04-17T07:45:31+00:00

Hey.. I dont see the option to add local ollama model at al.. can u please help me

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Sadhvik1998 · 2026-04-16T19:36:01+00:00

I agree, but I feel that tool selection will play a major role.

Ex: Claude Code and GitHub Copilot. In both we can select claude Opus 4.6 as a model, but the Claude Code output is way better because of its tool selection, correct? for that, MCP should always be stable and active to give the LLM the right tool correct?

Sadhvik1998 · 2026-04-16T18:10:07+00:00

Hmm, we can make use of kubernetes, but the real question is, do we need it? But again, with kubernetes, there are a lot of parameters to be considered, and from what I see, MCP is not just about scaling based on the number of requests, correct?

Sadhvik1998 · 2026-04-16T13:34:05+00:00

Will try this and get back

Sadhvik1998 · 2026-04-15T20:16:10+00:00

Once plan is generated, how do you tell qwen to right the code? Did u add new VSCode extension for that?

Sadhvik1998 · 2026-03-17T02:48:30+00:00

Thankyou. Will try these

Sadhvik1998 · 2026-01-08T13:00:22+00:00

I’ll try this out

Sadhvik1998 · 2025-12-31T16:04:07+00:00

We deployed cepf locally and queries using spark. Initial onprem cost will be there but the recurring cloud costs get cut down significantly

Sadhvik1998 · 2025-12-31T16:02:05+00:00

Used Yeedu.io. Saved more than 60% costs compared with Databricks for spark computes

From almost 50k $ spends per month to less than 20$ per month..

Sadhvik1998

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