Cloud Consulting Services and DevOps
Our cloud consulting services help teams move workloads to AWS, Azure or Google Cloud safely, automate how software is released, and keep monthly cloud bills under control.
Capabilities
- Cloud migration and landing zone design
- Infrastructure as code implementation
- CI/CD pipeline design and implementation
- Kubernetes and container strategy
- Cost optimization and FinOps practices
Outcome: Scalable, resilient cloud infrastructure with faster, safer releases.
Who our cloud consulting services help
We work with companies running servers in their own data center whose hardware or hosting contracts are ending, and with teams already in the cloud whose setup grew without a plan. Typical problems include manual deployments that only one person can do, test environments that differ from production, surprise cloud bills, and no clear view of who has access to what. Some teams moved virtual machines to the cloud unchanged and now pay more than before, without gaining the benefits they expected.
Our migration and DevOps process
We start by listing every application, its dependencies and its owner, then decide for each one whether to rehost, re-platform, rebuild or retire it. Next we build a landing zone: account structure, networking, identity, logging and guardrails, all defined in code. Applications move in waves, starting with low-risk ones, and each wave has a tested rollback plan. In parallel we set up CI/CD pipelines so releases become routine. After go-live we adjust server sizes and set up monitoring, alerts and runbooks.
Cloud platforms and DevOps tools
We work across AWS, Microsoft Azure and Google Cloud. Infrastructure is written as code with Terraform, or with CloudFormation and Bicep where a team prefers native tools. Pipelines are built in GitHub Actions, GitLab CI, Azure DevOps or Jenkins. For containers we use Docker and Kubernetes, including EKS, AKS and GKE, with Helm or Argo CD for deployments. Monitoring uses Prometheus and Grafana, Datadog or the cloud provider’s own tools. Access and network rules are reviewed with our cybersecurity specialists.
Engagement models and typical timelines
A cloud readiness assessment typically takes three to six weeks and produces a migration plan with cost estimates. Building a landing zone usually takes four to eight weeks, and migration waves for a mid-sized estate often run three to nine months. You can engage us for a fixed-scope project, keep us on a monthly retainer for platform support and cost reviews, or add DevOps and site reliability engineers to your team through our IT talent solutions. We agree the model before work starts and can change it as your needs change.
Measuring success and common cloud mistakes
We measure the four DORA metrics: deployment frequency, lead time for changes, change failure rate and time to restore service. We also track monthly cloud cost per application and environment, and uptime against agreed targets. The mistakes we help teams avoid are moving everything without resizing it, running without tags so nobody knows who owns a cost, granting broad admin access to save time, and building Kubernetes clusters for applications that would run more simply on managed services. Some applications are better rebuilt, and our software development services can help.
Frequently asked questions
Which cloud provider should we choose?
It depends on your existing licenses, your team’s skills and the services you need. Companies that rely heavily on Microsoft products often find Azure simpler, while others prefer AWS for its range or Google Cloud for its data tools. We compare cost and fit for your actual workloads.
How do you keep cloud costs under control?
We tag every resource by owner and application, set budgets with alerts, and review usage every month. Common savings come from rightsizing servers, shutting down test environments outside working hours, using reserved capacity or savings plans for steady workloads, and deleting unused storage and snapshots.
Will our systems go down during the migration?
Most applications can move with a short planned cutover, often outside business hours. We rehearse each cutover in a test environment first and keep the old environment running until the new one is verified. For systems that cannot stop, we use data replication to keep downtime to minutes.
Do we need Kubernetes?
Not always. Kubernetes suits teams running many services that need fine control over scaling and deployment. For a handful of applications, managed services such as AWS App Runner, Azure App Service or Google Cloud Run are cheaper to run and easier to maintain. We recommend the simplest option that works.
Can you support us after the migration?
Yes. Many clients keep us on a monthly retainer for platform updates, cost reviews, pipeline fixes and help during incidents. We also document the whole setup and train your team, so you can run the platform yourselves later if you prefer to bring it in-house.
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