Reliable cloud platforms and faster, safer releases.
We assess, design, migrate and automate cloud environments on Microsoft Azure and Amazon Web Services, and set up the pipelines, monitoring and cost controls that keep delivery dependable.
Illustrative solution concept. The final architecture is defined during discovery.
Cloud services cover planning, building and moving applications and data to cloud platforms such as Azure and AWS. DevOps covers the practices and automation that take code from a developer to production safely: version control, automated builds and tests, infrastructure as code, deployment pipelines and monitoring.
Together they help teams release more often with fewer failures, run environments that are consistent and secure, and understand what their cloud usage costs.
Cloud work for AI models, such as hosting or MLOps, is covered by our Cloud AI Integration and MLOps services.
Review of applications, infrastructure, security, costs and readiness, with a prioritized plan.
Typical outputAssessment findings and prioritized recommendations
Design of networking, identity, compute, storage and security on Azure or AWS.
Typical outputEnvironment and security architecture
Phased moves of applications and databases, with testing and rollback plans at each step.
Legacy Software Modernization →Typical outputMigration waves, validation and rollback plan
Repeatable environments defined with Terraform, Bicep or AWS CDK and kept in version control.
Typical outputVersion-controlled infrastructure definitions
Automated build, test and deployment with Azure DevOps or GitHub Actions.
Typical outputBuild and deployment pipelines
Dashboards, alerts and logs, plus right-sizing, autoscaling and budget alerts.
Typical outputMonitoring configuration and cost-review actions
The illustration above shows the main building blocks. The implementation and boundaries are agreed around your systems and delivery requirements.
Version-controlled changes and automated checks.
Repeatable environments, identity and configuration.
Controlled deployment with validation and rollback steps.
Metrics, alerts, runbooks and cost review.
Illustrative applications, not claims of completed client projects.
Separate environments and controlled release approvals for business applications.
Monitor integration workloads and plan capacity around order-processing peaks.
Prepare web platforms for admissions traffic and repeatable deployment.
We review your current set-up, release process, costs and risks.
OutputCurrent-state assessment
Improvements are prioritized by impact and effort into a roadmap.
OutputPrioritized implementation roadmap
Pipelines and infrastructure as code are introduced step by step.
OutputVersioned infrastructure and pipeline configuration
Workloads move in planned waves, tested and with rollback options.
OutputValidated workload migration
Monitoring, cost reviews and continuous improvement.
OutputRunbooks, alerts and improvement actions
Each tool solves a specific problem. We select only what your applications and team need.
Hosting, managed services and identity.
Repeatable, reviewable environments instead of manual setup.
Consistent packaging and, where scale requires it, orchestration.
Automated build, test and release pipelines.
Metrics, logs and alerts for health and performance.
Not every project needs Kubernetes or a complex platform. Many applications run well on managed app services or serverless options, which are simpler to operate.
Tool selection depends on your existing stack, access, licensing and the agreed scope. Product names identify technologies discussed for this service, not partnerships or certifications.
A short, defined engagement to review your cloud and delivery set-up and produce a roadmap.
A defined scope such as a migration, pipeline set-up or landing zone.
Monitoring, updates and cost reviews under a monthly plan, or dedicated engineers.
Hire DevOps engineers →We work mainly with Microsoft Azure and Amazon Web Services. We recommend a platform based on your existing systems, skills and requirements.
CI/CD setup depends on the application build, test coverage, environments, access and approval requirements. Assessment defines the scope; larger platform and migration work is phased.
Many migrations can be done with minimal downtime using phased moves, data synchronization and planned cut-over windows. We agree the approach and acceptable downtime with you before migrating.
We review usage, right-size resources, add autoscaling and set budgets and alerts. Savings depend on your workloads, so we estimate them during assessment rather than promise a fixed figure.
Yes, usually at a lighter level. Automated, repeatable releases reduce risk even when releases are infrequent, and make urgent fixes safer.
Infrastructure is normally built in your own Azure or AWS accounts, and infrastructure code and pipelines are stored in your repositories, so you keep full ownership.
Upgrade existing applications, reduce technical debt and prepare systems for future needs.
Resolve issues, maintain application health and improve software after launch.
Custom applications, enterprise platforms and APIs built around your business processes.
Tell us about your current set-up and we’ll suggest where to start.
Discuss Your Cloud & DevOps Needs