Cloud & DevOps
Cloud DevOps Engineering Services
We design, build, and manage cloud DevOps infrastructure: CI/CD, infrastructure as code, and observability, run by engineers whose hours overlap yours.
4.9 on ClutchSOC 2 Type II150+ platforms shipped
- Clouds
- AWS, GCP, Azure
- Infrastructure as code
- Terraform, Pulumi
- Orchestration
- EKS, GKE
- Security
- SOC 2 Type II, least-privilege IAM
- Running cloud infrastructure since
- 2012
The short answer
What do cloud and DevOps services include?
Reviewed November 3, 2026
Cloud and DevOps services include automated CI/CD, infrastructure as code with Terraform or Pulumi, container orchestration on EKS or GKE, centralized logging and alerting, least-privilege security and cost governance. Codieshub audits your current setup first, then rolls changes out incrementally with automated rollback so your team can ship several times a day.
Most engineering teams treat DevOps as a cleanup task, something to bolt on after the product ships. That model produces fragile pipelines, manual deployments that block releases, and cloud bills that grow faster than the product. At Codieshub we embed infrastructure thinking from day one: CI/CD, container orchestration, observability, and cost controls designed around your actual workload, not a generic template.
Since 2012 we've set up and operated cloud infrastructure for SaaS companies, fintech platforms, and marketplace products that handle real production traffic. That means we've already seen what breaks at scale (misconfigured autoscaling, secrets sprawl, pipelines that pass locally and fail in prod) and we engineer around those failure modes before you hit them.
Our engineers work across AWS, GCP, and Azure, in hours that overlap your US or UK day alongside your team. We don't hand you a Terraform module and disappear; we own the infrastructure lifecycle, keep runbooks current, and are available when something wakes you up at 3 a.m.
How we approach it
From the problem you have to what done looks like.
01The problem
Slow release cycles, environment drift, and unpredictable cloud spend are the symptoms. The root cause is infrastructure that was set up quickly and never properly operationalized. Manual steps in the deployment chain, inconsistent environments, and no real observability mean every release carries risk and every incident takes too long to diagnose.
02How we solve it
We audit your current state first, then build toward fully automated CI/CD, infrastructure-as-code with Terraform or Pulumi, container orchestration on EKS or GKE, and centralized logging and alerting. Security is layered in from the start (least-privilege IAM, secrets management, network policies) not patched on afterward. Rollouts are incremental with automated rollback so you can ship multiple times a day without incident anxiety.
03What done looks like
Release frequency goes up; mean time to recovery goes down. Teams moving from manual deployments to full CI/CD commonly reach multiple deploys per day. The timeline depends on service count and existing infrastructure. Cloud costs become more predictable, security posture satisfies SOC 2 auditors, and your engineers spend time shipping features instead of firefighting infrastructure.
Why Codieshub
Six things you can hold us to.
Specific to Cloud & DevOps, and written into how every engagement runs.
- 01
CI/CD that actually ships
Fully automated pipelines from PR merge to production. No manual gates, no environment drift, no 'works on my machine' surprises.
- 02
Infrastructure as code
Terraform or Pulumi for every resource: reproducible environments, peer-reviewed changes, and a git history that explains what changed and why.
- 03
Observability built in
Centralized logging, distributed tracing, and alerting tuned to your SLOs: so incidents are caught early and diagnosed in minutes, not hours.
- 04
Security from the start
Least-privilege IAM, secrets management via Vault or AWS Secrets Manager, network policies, and SAST in the pipeline, not a retrofit after a pen test.
- 05
Cost governance
Rightsized resources, autoscaling policies, and reserved-instance planning. Infrastructure audits consistently surface over-provisioning and idle spend, cost reduction is a standard outcome.
- 06
Overlapping-hours availability
Engineers whose hours overlap your US or UK day, for real-time collaboration during incidents, not an overnight ticket queue.
Proof
“Reliability and scalability are critical for us. They approached the engagement with a strong technical foundation and a clear process.”
“An external team can be just as committed and driven as our internal one. Their dedication and attention to detail have made them invaluable.” John Bradford, PetScreening
“We move fast and deal with a lot of edge cases. They kept up without cutting corners, which is rare. The team stayed responsive across time zones.” Oliver Dlouhy, Kiwi
Related work
- Kapital Bank · Fintech · 2018-2021Fintech Web Platform for Kapital Bank
- PetScreening · Real Estate · 2017-2019SaaS Platform That Scaled to 21% MoM Growth
- Saudia Cargo · Transportation & Logistics · 2024-2025Logistics SaaS for Saudia Cargo
- Kiwi · Logistics · 2021-2023AI & ML Powered Logistics for Kiwi
- Connected Railway · Transportation · 2022-2024Talent Forecasting SaaS for Connected Railway
Ways to work with us
Four ways to engage. One senior bench.
Start with one shape and switch when the scope shifts. Month to month, no multi-year lock-in.
FAQ
What buyers ask on the first call.
Tell us what you're running and what's slowing you down, we'll scope a path to automated, reliable deployments.
Audit my infrastructureFor a typical early-stage SaaS on a single cloud provider, we can have an end-to-end automated pipeline (PR → staging → production with automated tests and rollback) running in four to eight weeks. The timeline depends on how many services exist, whether there is an existing pipeline to migrate, and how much infrastructure-as-code is already in place. We stage the rollout so you keep shipping during the transition.
We work across all three. Most of our production experience is on AWS (EKS, RDS, Lambda, CloudFront) and GCP (GKE, Cloud Run, BigQuery), but we have Azure engagements running as well. Cloud migrations are scoped carefully. We run parallel environments and cut over with zero planned downtime. We'll recommend the platform that best fits your workload and cost profile, not the one we happen to prefer.
Engagements range from a focused infrastructure audit and remediation (fixed scope, priced by complexity) to an ongoing embedded DevOps engineer or small team billed monthly. For typical budgets and timelines, see our project cost estimator at codieshub.com/project-cost-estimation. We scope based on your current state, target architecture, and the cadence of support you need, and we'll give you a written statement of work before any work begins.
Yes, and that's usually the right call. We start with an audit of your existing pipelines, infrastructure, and observability to identify the highest-leverage gaps. Sometimes that means adding automated testing stages to an existing Jenkins pipeline; sometimes it means migrating from a manual Helm setup to a GitOps workflow. We document the current state, prioritize improvements by risk and effort, and work incrementally so nothing breaks while we improve it.
We can take primary on-call for infrastructure we operate, co-own incidents alongside your engineering team, or hand off fully to your team after building runbooks and conducting war-game exercises. We set up PagerDuty or equivalent alerting with clear escalation paths, write runbooks for every failure mode we anticipate, and do a documented post-mortem after any significant incident. The model is flexible. Most clients start with us on primary on-call and transition responsibility over six to twelve months as their team grows.