ReduceOps helps startups and small businesses stabilize deploys, cut manual toil, and get senior DevOps support without hiring full-time.
17+ years in DevOps
Hands-on systems administration, cloud infrastructure, CI/CD, containers, and Kubernetes.
Async-first delivery
Slack, Loom, written reports, and clear next steps. Less calendar thrash, more progress.
Project or retainer
Use ReduceOps for one cleanup project, a migration, or ongoing fractional DevOps support.
Choose your path
ReduceOps works best when the problem is concrete: a founder still doing ops on the side, or a small team that needs safer, calmer infrastructure without overbuilding.
When founders and senior engineers are still the release process.
When the business needs reliability, but the stack still depends on too many manual steps.
How it works
Start with an async assessment, fix the highest-leverage problems, then keep momentum with project work or a retainer.
Share your deployment workflow, infrastructure context, or config. ReduceOps reviews it and spots the biggest sources of drag.
Get a written teardown with the most important fixes first, what is risky now, and what can wait.
Ship the changes that actually matter: deployment cleanup, container hardening, automation, cloud hygiene, and reliability work.
Keep a senior DevOps partner on call without adding a full-time hire or turning your roadmap into ops cleanup week.
Shared capabilities
The deliverables change by client, but the work usually falls into these buckets.
Make shipping boring again with cleaner CI/CD, safer release flows, and less key-person risk.
Containerize apps properly, reduce drift between environments, and tighten how services run in production.
For teams that actually need Kubernetes, not teams being talked into it because it sounds advanced.
Ongoing senior DevOps support for teams too small for a full-time hire but too busy to keep winging it.
Why ReduceOps
You do not need a giant platform team. You need someone who can see the weak spots fast, fix the boring but painful parts, and help your team get back to product work.
Identify the repetitive work stealing time every week, then automate or remove it.
Tighten the release path so one engineer is not the only person who knows how to ship.
Get pragmatic infrastructure decisions without committing to a full-time DevOps hire too early.
The goal is not prettier infrastructure diagrams. The goal is fewer manual steps, fewer brittle releases, and more time back for product work.
Reduce the one-person release process and make shipping less dependent on tribal knowledge.
Know which issues are worth fixing now and which ones are just background noise.
Less emergency ops churn, more planned improvements, and less context switching for the rest of the team.
On March 24, 2026, the most-used ingress controller in Kubernetes became read-only. If you’re running ingress-nginx, your cluster didn’t catch fire, but any CVE discovered after that date will never get a patch.
That’s the honest version. Not “immediate action required” and not “don’t worry about it.” The project is gone, the security exposure is real, and the migration is more manageable than the scaremongering articles suggest if you understand what you’re actually dealing with.
Your lead developer is spending 12 hours a week on deployments, alert triage, and hunting through logs. That’s $2,400/week in engineering time burned on work that isn’t building your product. Meanwhile, AI agents in DevOps are cutting that toil by 30-50% at companies that implement them well.
The problem? Every guide on AI agents is written for enterprises with 200-person platform teams. If you’re running a 10-50 person company where developers do ops on the side, that advice is useless.
According to the CNCF 2025 Annual Cloud Native Survey, 82% of container users run Kubernetes in production. That stat makes startup CTOs panic. But your 15-person SaaS company is not in the same category as the enterprises driving that number.
Every growing startup hits the Kubernetes question eventually. Your app is getting real traffic, deployments are getting messy, and someone on the team suggests K8s. The anxiety is real because the internet makes it sound like you’re not a serious company until you’re running clusters.
Start with an async DevOps assessment. You will get a practical teardown and a clear next step, not a vague pitch deck.
