DevOps services that keep your product up under real load
We set up and run your cloud infrastructure and delivery pipeline. We scaled Atarim on AWS with load balancing and auto-scaling, and deployed Farmin for satellite image processing. CI/CD, containers, monitoring, and in 2026, cost control for GPU and LLM API spend.
What is DevOps as a service?
DevOps as a service means an outside team owns your CI/CD pipeline, cloud infrastructure, deployments, and monitoring so your engineers ship product instead of babysitting servers. It covers build and deploy automation, auto-scaling, infrastructure as code, alerting, and cost control, and in 2026 it includes the GPU and model API spend that AI features add to the bill.
- We own your CI/CD, cloud scaling, and deployments.
- AWS, Supabase, and Railway with load balancing and auto-scaling.
- GitHub Actions pipelines, Docker, and Kubernetes when it pays off.
- Traces for every model call, plus LLM API and GPU cost tracking.
- Monitoring and alerting included.
What does DevOps cover in 2026?
In 2026 the cloud bill has a new line: model calls and GPU time. A feature that works in staging can cost more than it earns in production if nobody watches token spend. DevOps now includes tracking LLM API cost per feature and per customer, caching repeated calls, routing easy requests to cheaper models, and right-sizing GPU jobs so they run in batches instead of idling.
Observability changed too. We trace every model call the way we trace an HTTP request: latency, tokens, cost, and which prompt version ran. That sits next to the usual work: CI/CD, autoscaling, backups, and alerts that reach a person before customers notice.
Outcomes
What do you get?
Cloud scaling
AWS with load balancing and auto-scaling, as we did for Atarim.
CI/CD pipelines
Automated build, test, and deploy so releases go out faster.
AI cost control
LLM API spend tracked per feature, cached, routed to cheaper models, and capped.
Monitoring and alerts
Logs, traces for every model call, and alerts so problems get caught before customers see them.
Deliverables
What is included?
Cloud infrastructure and scaling
AWS, GCP, or Azure with load balancing, auto-scaling, and infrastructure as code.
CI/CD setup
GitHub Actions, GitLab CI, or Jenkins pipelines for automated testing and deploys.
Cloud migration
Move from on-prem or legacy cloud with minimal downtime.
Containers
Docker, Kubernetes, and container orchestration where it pays off.
GPU and LLM cost control
Per-feature cost dashboards, prompt caching, model routing, spend caps, and batched GPU jobs.
Observability
Logs, metrics, and traces, including every model call with tokens, cost, and prompt version.
Who we serve
Who is this for?
SaaS Companies
Scaling, pipelines, and monitoring so your product stays up as usage grows.
See the SaaS Companies page
Software Founders
Production infrastructure for your MVP without hiring a DevOps engineer.
See the Software Founders page
E-commerce and DTC Brands
Infrastructure that holds up on launch days and sale spikes.
See the E-commerce and DTC Brands page
Why us
Why teams pick TechEmulsion
30+ AI products shipped since 2023. Top Rated Plus on Upwork. US LLC in Wyoming. Here is what that gets you:
30+ AI products shipped
Our engineers have shipped 30+ AI products to production. You get code that holds up under real users and is easy to maintain.
Built for your business
We build around how your team already works. No generic templates, no forcing you onto new software.
4 to 8 week ship cycles
Most builds go live in 4 to 8 weeks, not 6 months. You see working software early and often.
Simple to use
Your team should not need training to use what we build. We design every screen and workflow to be obvious.
NDA and security
We sign an NDA before we see anything. Your data stays yours, and we follow security best practices on every build.
Support after launch
We do not disappear after delivery. Ongoing engagements include monitoring, fixes, and updates.
How does the engagement run?
Setup is a fixed-scope project: pipelines, scaling, and monitoring, with a written timeline after discovery. Most clients then keep us on a flat monthly managed retainer.
Not a fit if you want a one-time server install with nobody responsible afterward, or if your team will not put infrastructure in code.
01.
Discovery
A free 30 minute call. We listen first. No pitch deck.
02.
Plan
We scope the first system that pays for itself and give you a fixed timeline.
03.
Ship and iterate
We build, test on real data, launch in 4 to 8 weeks, then improve it with you.
Questions about DevOps
Answers from the engineers who do the work. Anything else, ask on a free 30 minute call.
By industry
Where this shows up by industry
SaaS Companies
AI features for funded SaaS
Scaling, pipelines, and cost control for products with real usage.
Open page
Software Founders
Fractional engineering team
A full engineering team on 30-day terms. No equity, no recruiting.
Open page
Software Founders
Prototype Takeover
For apps that broke when the second user signed up.
Open page
Free tool
Tech debt velocity calculator
See how much shipping speed your infrastructure is costing you.
Open page
All industries
Every industry we serve
Marketing agencies, software founders, ecommerce brands, SaaS companies, and home services. One page per industry.
Browse industries