Cloud Migration & Modernisation
Lift-and-shift, re-platform, and re-architect strategies tailored to your workloads. We migrate monoliths to microservices with zero-downtime cutover plans and documented rollback procedures.
Slow deployments, runaway cloud bills, and brittle infrastructure are strategic liabilities. Kalp Corporate designs, migrates, and manages cloud environments that are faster, cheaper, and far more resilient than what you have today.
We don’t just lift and shift. We modernise your entire delivery pipeline and operating model — from infrastructure design to incident response and ongoing cost management.
Discuss Your Architecture →Lift-and-shift, re-platform, and re-architect strategies tailored to your workloads. We migrate monoliths to microservices with zero-downtime cutover plans and documented rollback procedures.
Automated build, test, and deployment pipelines using GitHub Actions, GitLab CI, Jenkins, and ArgoCD — reducing release cycle time from days to under 30 minutes reliably.
Docker containerisation, Kubernetes cluster design, Helm chart development, and service mesh configuration for highly available, auto-scaling workload management in production.
Terraform, Pulumi, and AWS CDK templates that version-control every piece of infrastructure — enabling consistent environments, peer-reviewed changes, and zero configuration drift permanently.
Full-stack monitoring with Prometheus, Grafana, Datadog, or New Relic — plus SLO/SLI definition, error budget tracking, and runbook-driven automated remediation that catches issues before users do.
Right-sizing analysis, reserved instance planning, spot instance strategies, and automated cost anomaly detection — typically reducing cloud spend by 30–50% within the first six months.
Every migration follows our battle-tested playbook — with a documented rollback plan in place before we touch a single production workload.
We audit your current infrastructure, map dependencies, identify security gaps, and produce a prioritised migration roadmap with risk assessments for every workload.
We build your cloud landing zone with network segmentation, IAM policies, centralised logging, monitoring, and cost governance guardrails — before migrating a single workload.
Workloads migrate in priority waves. Each wave includes parallel running, traffic mirroring, performance benchmarks, and sign-off before production cutover is executed.
Post-migration cost tuning, observability hardening, runbook documentation, and team knowledge transfer — leaving you fully self-sufficient or on a managed operations plan.
We’re certified across AWS, Azure, and GCP — and we give honest guidance on which platform fits your workloads, not whichever has the best partner margins.
EC2, EKS, RDS, Lambda, S3, CloudFront, VPC, IAM, GuardDuty, and the full AWS ecosystem — including AWS Well-Architected reviews and cloud spend audits.
AKS, Azure DevOps, App Service, Azure SQL, Cosmos DB, Entra ID, Defender for Cloud, and hybrid cloud connectivity via ExpressRoute and Azure Arc.
GKE, Cloud Run, BigQuery, Cloud SQL, Vertex AI, Cloud Armor, and GCP’s leading data and AI services for analytics-heavy and ML-intensive workloads.
Architecting across clouds with Terraform, Crossplane, and Anthos — with private data centre integration for regulatory, latency, or data residency constraints.
Security scanning in CI/CD pipelines, SAST/DAST integration, secrets management with Vault, and policy-as-code with OPA and Checkov for continuous compliance enforcement.
Cloud cost modelling, budget alerting, chargeback frameworks, and automated anomaly detection — aligned with FinOps Foundation best practices for engineering team accountability.
Every tool chosen for proven reliability and operational maturity — not just popularity in a blog post.
Regulated industries need more than generic cloud setups. We design environments that are compliant by architecture — not patched into compliance after the fact.
We’ll review your current cloud infrastructure, identify waste, and show you exactly where 30–50% cost savings are hiding. Takes one hour. Costs nothing.
When automation requires a custom interface, self-service portal, or integration layer, our development team builds the surrounding system that makes it all work seamlessly.
AI is only as good as the data feeding it. We build the pipelines, warehouses, and governance frameworks your ML models depend on for reliable, consistent performance.
Combine AI decision intelligence with RPA execution to automate entire business workflows end-to-end — from intelligent document intake all the way through to approvals and notifications.