CDOps Tech

Name: CDOps Tech
Address: #14-04 Singapore Business Federation Center, 160 Robinson Road, Singapore, 068914, SG
Telephone: +6560288048

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CDOps Tech

IT Consulting Company Specializing in DevOps & Cloud

31/08/2026

Outsourcing DevOps shouldn’t feel risky.

If you feel that handing over your infrastructure feels impossible the problem most likely lies in the process behind your infrasrtucutre.

No documentation. Manual setups. Tribal knowledge. Fragile environments.

These make any handoff difficult.

Before you outsource, build a DevOps foundation that is documented, repeatable, and reliable.

Fix the foundation. Earn the trust. That’s DevOps done right.

26/08/2026

Why your FinOps team can't forecast AI costs and it's not their fault.

Microsoft Research ran the same agentic coding task repeatedly and found token spend varied by up to 30x from one run to another.

Same task. Same model. Wildly different bill.

One reason is how agentic systems consume context. A 10-turn agent loop can re-read its entire history at every turn, using roughly 50x the tokens of a single linear call.

And here's the catch: more spend doesn't necessarily mean better results. Accuracy can peak at a moderate cost and then flatten out.

Traditional FinOps was built around infrastructure with relatively predictable consumption patterns.

Agentic AI breaks that assumption.

No surprise, then, that 98% of FinOps practitioners are expected to be responsible for managing AI spend in 2026, up from 31% last year. The discipline is having to adapt quickly.

The answer isn't another dashboard.

It's changing what you measure.

Cost-per-token tells you how much AI consumed.

Cost-per-accepted-task tells you whether that spend created value.

If your AI cost reviews are still focused on tokens instead of outcomes, you may be optimizing the wrong thing.

21/08/2026

We’re excited to share that Simarpreet Singh Chandhok () , Founder at CDOps Tech, will be speaking at

His session, 'Designing for Failure: Build, Break, Repeat on AWS Without Losing Your Job', will explore practical approaches to building resilient systems on AWS, testing safely, and learning from failure.

📅 22 August 2026 | 11:45 AM
📍 Brittany Hotel BGC, 6 McKinley Parkway, Taguig

If you’re attending AWS Community Day Manila, come by, say hello, and exchange ideas on building better systems on AWS.

Let's connect.

17/08/2026

The cloud cost conversation is shifting.

For years, infrastructure teams optimized around VMs, containers, clusters, and storage.

AI changes the equation.
Training is episodic. Inference is continuous.

Gartner projects AI-optimized IaaS spending to reach $42.3B in 2026, with inference accounting for $23.3B, more than training.
That means the next optimization question isn't simply:
“How much does this workload cost?”
It’s:
“How much does every inference cost, and what is driving it?”

That brings engineering decisions like quantization, batching, KV-cache management, GPU utilization, model routing, autoscaling, and model selection directly into the FinOps conversation.

The interesting part?
FinOps and MLOps are starting to collide.
The teams that understand both sides will have a very different approach to AI infrastructure economics.

13/08/2026

Everyone is talking about AI. Fewer people are talking about what it is changing underneath the stack.

Over the last few months, one pattern has become hard to ignore:

Cloud: AI workloads are driving real infrastructure demand.
DevOps: resilience and recovery are becoming more important than deployment speed.
SRE: user experience is emerging as the primary reliability metric.

The common thread is not AI hype. It is operational reality.

Teams are being asked to run more complex systems with tighter budgets, stricter compliance requirements, and less tolerance for downtime. That is pushing organizations toward platform standardization, stronger guardrails, better observability, and faster recovery paths.

One insight that stood out while putting this together: the winning teams in 2026 may not be the ones that ship the fastest, but the ones that can recover, adapt, and operate reliably at scale.

Curious what you are seeing in your environment

Which shift is having the biggest impact right now—Cloud, DevOps, or SRE?

10/08/2026

Excited to share that Simarpreet Singh Chandhok, founder of CDOps Tech, will be speaking at AWS Community Day Philippines on 22 August 2026.

Session: Designing for Failure: Build, Break, Repeat on AWS Without Losing Your Job

If you’re working with AWS, platform engineering, SRE, DevOps, or cloud operations, this session is for you.

📍 AWS Community Day Philippines
📅 22 August 2026 11:45AM

07/08/2026

Microsoft just shipped the largest Patch Tuesday in its history: 570+ security fixes in a single release.

The headline isn't the number of vulnerabilities.

It's what it reveals about modern infrastructure.

If Microsoft with one of the largest security organizations in the world can't keep up with the pace vulnerabilities are being discovered, what does that mean for engineering teams running production with a handful of platform engineers?

The challenge isn't visibility anymore.

- Your security tools already tell you what needs attention.

- Your CI pipeline flags outdated dependencies.

- Your cloud platform surfaces misconfigurations.

- Your dashboards generate alerts.

The real question is: How quickly can you act?

For most growing engineering teams, security doesn't fail because of a lack of scanners. It fails because remediation competes with feature releases, infrastructure work, incident response, and day-to-day operations.

A critical patch waits for the next sprint. An infrastructure update is postponed because the deployment process feels risky. A dependency upgrade is delayed because no one is confident it won't break production.

That delay becomes your attack surface.

This is why cloud engineering isn't just about provisioning infrastructure.

It's about building platforms where secure changes can be deployed confidently and repeatedly.

As vulnerabilities are discovered faster than ever, the teams that stay ahead won't be the ones with the most alerts.

They'll be the ones that can deploy fixes safely, consistently, and in hours and not weeks.

03/08/2026

**AI won't fix your broken DevOps pipeline.**

AI can generate code, write CI/CD scripts, and summarize logs.

But it can't fix poor processes, bad infrastructure, missing observability, or weak engineering practices.

If your DevOps foundation is broken, AI will only help you move faster in the wrong direction.

**Automation before AI.
Reliability before AI.
Standardization before AI.**

AI is an **accelerator**, not a **foundation**.

Do you agree?

31/07/2026

Conference talks tell you what worked.

The conversations afterwards tell you why.

Live in Prod brings together engineers to discuss the decisions, trade-offs, failures, and lessons behind building and operating production systems.

Launching soon.

29/07/2026

One thing we've learned from years of working in cloud engineering:

Getting to the cloud is rarely the hardest part.

Keeping it secure.
Keeping it reliable.
Keeping costs under control.
Building platforms developers actually enjoy using.

That's where most of the engineering effort goes.

Cloud migration is a milestone.

Cloud engineering is the journey that follows.

If you're planning a migration, or already running workloads in the cloud, I'd love to hear what's been your biggest challenge.

Address

#14-04 Singapore Business Federation Center, 160 Robinson Road
Singapore
068914

Telephone

+6560288048

Website

http://www.cdops.tech/

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