DevOps & Cloud Services

A focused piece of work such as a CI/CD build, a Kubernetes setup, or a cost audit typically runs $10K to $40K. A full platform build or a large migration starts around $75K and runs past $300K for the largest programs. Managed cloud operations are billed monthly against an agreed scope. A free discovery call gets you a scoped estimate against your real environment, with no obligation.

DevOps services normally cover CI/CD pipeline engineering, infrastructure as code, cloud migration, container platforms, monitoring and observability, security automation, cost optimization, and day-to-day operations. Softaims delivers any single piece of that list, or the whole program, with one team.

Consulting builds the capability and hands it to your engineers with documentation and training. Managed cloud services mean we keep running it: patching, monitoring, capacity, and the on-call rotation. Pick consulting when you have an internal team to hand over to. Pick managed operations when you do not want to hire and hold a 24/7 rotation yourself.

A working pipeline for one service usually takes 2 to 4 weeks. A full platform with infrastructure as code, repeatable environments, observability, and security gates is typically a 3 to 6 month program. Work lands in two-week sprints, so each one hands you something usable rather than a status update.

A small estate commonly runs $40K to $150K. Mid-market programs covering hundreds of servers, heavy data volumes, and a period of parallel running frequently reach seven figures. The bill tracks how much data moves, how many workloads need refactoring rather than a straight lift, and how long both environments run side by side. Small migrations often finish in 2 to 6 months, larger ones in 12 to 18.

Default to AWS: the service catalog is the broadest and the hiring pool is the deepest. Choose Azure when your company already runs on Microsoft identity, licensing, and Windows workloads, because both the integration and the discounting favor it. Choose Google Cloud for data and machine learning heavy workloads or for its managed Kubernetes. Moving between providers later is possible and expensive, so decide with the next three years in view.

Usually, and the savings are rarely exotic. The biggest line is almost always compute billed on-demand for a workload steady enough to sit on a commitment. After that comes idle capacity: environments left up overnight and at weekends, and nodes provisioned for a peak that never arrives. The rest is typically old storage and snapshots no one has claimed, plus traffic crossing zones it did not need to cross. We will not quote you a percentage before we have read your bill.

Yes. Managed cloud operations include monitoring, alerting, patching, backups, and a 24/7 rotation staffed by engineers you can name, working to the severity levels and response times set out in your contract. Every alert we configure ships with a runbook, so whoever picks up the page at 3am has instructions rather than a guess.

Checks run inside the pipeline: dependency and container image scanning, policy checks on infrastructure code, and secrets detection on every pull request. Access is least-privilege and short-lived, secrets live in Vault or a cloud-native store with rotation, and configuration drift is watched continuously. Our practices align to SOC 2 and ISO 27001, and the pipeline gathers audit evidence while it runs.

You do. The cloud accounts stay in your company's name, the Terraform and pipeline code lives in your repositories, and full IP ownership is assigned in the contract. If the engagement ends, nothing has to be handed back, because nothing ever left. We sign NDAs on request.