Sriram Krishnan

Security Engineering & Forever Manchester United

[Sriram Krishnan @sriramk21]

Ruben Amorim was slowly but steadily building a system of play until Wilcox messed it up. Wilcox should first get the sack. #MUFC_FAMILY

[Sriram Krishnan @sriramk21]

@Gavin22j I will chose the one not in the option - Jose Mourinho.

[Sriram Krishnan @sriramk21]

Irrespective of Carrick’s capability, I don’t want to see yet another manager sacked. Remove the joker sitting on top & taking transfer decisions or pushing managers to change their system. Give Carrick one full season & judge. @ManUtd #MUFC_FAMILY #GlazersSellManUtd

[Sriram Krishnan @sriramk21]

Mufc management team have become an enigma. It is evident that LB & No.6 are required. 15 days left for transfer window no action. Either there is no cash or lack of willingness to spend. The latter because they want to sell the club or saving for new stadium. #mufc

[Sriram Krishnan @sriramk21]

We salute all the freedom fighters who dedicated their life towards freedom of this great India. We breathe freely today because their unparalleled sacrifice. #80YearsofIndependence 🇮🇳

[Sahil Bloom @SahilBloom]

Underrated life advice: Just be easy to work with. Show up on time. Do what you said you'd do. Bring solutions, not problems. Never create drama. Be responsive. Be emotionally consistent. Be kind. People will always want to support someone who just makes their life easier.

[Nithin Kamath @Nithin0dha]

The number of investment decks I get leading with “we use AI” is ridiculous. It’s reached a point where it automatically makes my eyes roll, and I’ve almost stopped looking at them.

Founders need to realize that AI is just table stakes now. Bragging that your product uses AI is like bragging that you take a bath every day. It’s not a differentiator. In fact, opening your pitch with it is a surefire way to get ignored, not just by us, but by most serious VCs.

Especially now that AI has democratized the ability to generate “nice-looking” decks, the last thing you want to do is say the exact same generic things as every other founder using the exact same tools.

[Gaurav Kheterpal @gauravkheterpal]

I’m approaching 50. I looked at what happened to my college batch after nearly 27-28 years in the tech industry.

The numbers are uncomfortable:

15% - got laid off and never found their way back into tech.
15% - left IT and moved into business.
25% - stuck in middle management, fearing the next layoff.
10% - retired early.
10% - moved into consulting/training.
5% - senior leadership.
20% - still hands-on, learning and reinventing themselves.

The interesting part?

The people who stayed relevant weren't necessarily the smartest or most experienced.

They kept learning.
They stayed hands-on.
They reinvented themselves.

And whoever I talk to - those numbers are mostly true for most of the middle and senior management for tech industry in India.

The problem isn't age. The problem is that we stop learning.

[Sriram Krishnan @sriramk21]

@systemdesignone Add a book on secure coding, that will complete the list.

[Darryl Ruggles @RDarrylR]

Kubernetes pods run 24/7 but many APIs sit idle most of the time. A trading API active during market hours uses 45 of the 168 hours you pay for weekly. That's significant waste for workloads with predictable downtime.

One approach to deal with this is #Knative. It provides scale-to-zero on any #Kubernetes cluster. No traffic means zero pods and zero cost. When requests arrive, pods spin up with a 1-2 second cold start. It recently hit CNCF Graduation so the project has matured.

Christian Dussol provides a good overview below of Knative with cost formulas, example manifests, and #Kyverno policies for governance. A GitHub repo is included as well. Check it out!

https://t.co/tZZUky2UYE

[Darryl Ruggles @RDarrylR]

Setting static CPU and memory requests in #Kubernetes is often guesswork. Too low and you get throttling or OOMKills. Too high and you waste capacity. The Vertical Pod Autoscaler helps, but traditionally required pod restarts to apply changes.

#VPA v1.5.0 with Kubernetes 1.33 introduces InPlaceOrRecreate mode, which can adjust resource requests on running containers without disrupting the pod. This enables a practical strategy: start with minimal requests and let VPA right-size them dynamically.

Anup Dubey shows the setup below and explains how VPA makes its recommendations.

https://t.co/BpvDTxtsJb

[Darryl Ruggles @RDarrylR]

#GPU autoscaling for #LLM workloads on #Kubernetes is a real gap in most setups. Standard CPU and memory metrics tell you almost nothing about whether your model is actually overwhelmed, which means teams end up either over-provisioning expensive GPUs or discovering problems too late.

This article walks through the full pipeline including deploying #Prometheus on #GKE Autopilot, wiring up vLLM metrics via a cross-namespace ServiceMonitor, fixing a Grafana dashboard to match actual metric names, and building an HPA that scales on request queue depth instead of CPU.

Akrem Issaoui wrote this up with gotchas and workaround included, from Autopilot's host-level restrictions to the colon vs underscore metric naming trap. Check it out if you are running GPU workloads on Kubernetes and want autoscaling that responds to what actually matters.

https://t.co/uJHZr6yBdt

[Marino Wijay 🇨🇦 @virtualized6ix]

Infra roles are going to be very hot; there will be a huge uptick.

It’s worthwhile to learn skills around:
- Kubernetes
- networking
- Linux
- data resiliency/lifecycling

Data sovereignty and residency, and AI governance is going to drive this.

[Math Files @Math_files]

Bayes’ theorem is probably the single most important thing any rational person can learn.

So many of our debates and disagreements that we shout about are because we don’t understand Bayes’ theorem or how human rationality often works.

Bayes’ theorem is named after the 18th-century Thomas Bayes, and essentially it’s a formula that asks: when you are presented with all of the evidence for something, how much should you believe it?

Bayes’ theorem teaches us that our beliefs are not fixed; they are probabilities. Our beliefs change as we weigh new evidence against our assumptions, or our priors. In other words, we all carry certain ideas about how the world works, and new evidence can challenge them.

For example, somebody might believe that smoking is safe, that stress causes mouth ulcers, or that human activity is unrelated to climate change. These are their priors, their starting points. They can be formed by our culture, our biases, or even incomplete information.

Now imagine a new study comes along that challenges one of your priors. A single study might not carry enough weight to overturn your existing beliefs. But as studies accumulate, eventually the scales may tip. At some point, your prior will become less and less plausible.

Bayes’ theorem argues that being rational is not about black and white. It’s not even about true or false. It’s about what is most reasonable based on the best available evidence. But for this to work, we need to be presented with as much high-quality data as possible. Without evidence—without belief-forming data—we are left only with our priors and biases. And those aren’t all that rational.

[Sriram Krishnan @sriramk21]

@UtdForever7 @JacobsBen @UnitedStandMUFC @ManUtd @premierleague Given these options I will to stick with Carrick.

[Mitchell Hashimoto @mitchellh]

Wrote up about my personal journey from AI skeptic to someone who finds a lot of value in it daily. My goal is to share a more measured approach to finding value in AI rather than the typical overly dramatic, hyped bait out there. https://t.co/SpiIy7DEc9

[Sriram Krishnan @sriramk21]

Another incredible win. Tactical brilliance & brilliant execution. @ManUtd #MUFC #ARSMUN

[Sriram Krishnan @sriramk21]

Top class performance just not offence but also defence. Keep the momentum. @ManUtd #ManUtd

[The 1958 @The__1958]

This statement was released today by a collaboration of online accounts. They’ve had enough of the Glazers, INEOS and the way the club treat fans and match going supporters. The inept running of the club and the shite we are served up every week whilst expecting us to pay more for the privilege.

These accounts have a combined reach of over 3 million United fans. They’ll be supporting the protest on the 1st Feb before Fulham.

Putting differences aside to get behind a coordinated, collaborative message that will be spread around the world to maximise impact before, during, and after the protest.

Fair play to them.

The 1958🇾🇪
#UnitedIsBroken

[Sriram Krishnan @sriramk21]

Immature decision to have sacked the manager at the mid of the season. His position should have been scrutinised at the end of the season. Bunch of jokers running the club. @ManUtd #GlazersAndRatcliffeOut