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Monolith to microservices
Domain-driven decomposition, strangler-pattern migration, API gateways, service contracts and data-ownership splits, delivered in safe increments.
Cloud · DevOps · MLOps
From monolith to cloud-native, with delivery you can trust.
We design, migrate and automate your platform end to end: microservices, Kubernetes, CI/CD for Dev, QA and Production, observability, and MLOps/AIOps pipelines.
- Vendor-neutral: AWS, Azure, GCP, on-prem
- Everything as code, reviewed and repeatable
- Handover with runbooks, not lock-in
What we do
Services across the full delivery lifecycle
Pick one engagement or run the whole journey, from first assessment to a monitored production platform.
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Cloud migration & infrastructure
Landing zones, networking, IAM, and lift-and-shift or re-platform moves, all provisioned with infrastructure as code.
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CI/CD, build & deployment
Pipelines that build, test, scan and ship automatically, with quality gates, artifact management and one-click rollback.
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Kubernetes platform
Cluster design, multi-environment namespaces, autoscaling, ingress, secrets, policies and day-2 operations on managed or self-hosted clusters.
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Dev, QA & Production setup
Consistent, automated environments with promotion workflows, test-data strategy, approvals and environment parity.
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Monitoring, alerts & observability
Metrics, logs and traces with actionable alerting, dashboards, SLOs and on-call routing so you hear about issues before users do.
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Platform migrations
Move between CI tools, source hosts and runtimes without stopping delivery, e.g. Jenkins to GitHub Actions or VMs to containers.
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MLOps, AIOps & algorithm setups
Training and serving pipelines, model registry and monitoring, plus AI-assisted operations for noise reduction and faster incident response.
Migration approach
Incremental by design, so the business keeps running
Big-bang rewrites fail. We move one capability at a time behind a stable interface, measure each step, and keep a clear path back.
Plan your migration- AssessInventory services, dependencies, data flows, risks and cost. Agree success metrics.
- PlanTarget architecture, migration waves, rollback plan and a delivery roadmap.
- DecomposeCarve out services behind a gateway, split data ownership, add contract tests.
- AutomateInfrastructure as code, CI/CD and environment promotion for every service.
- OperateObservability, alerts, runbooks and a handover your team can run.
Build & release
One automated path from commit to production
Each change flows through the same gates in Dev, QA and Production, so releases are boring and rollbacks are fast.
- CommitPR checks, branch policy
- BuildContainer image, SBOM
- TestUnit, integration, contract
- SecureSAST, secrets, CVE scan
- DevAuto-deploy
- QASmoke + e2e suites
- ProdApproval, canary, rollback
- ObserveAlerts, SLOs, feedback
MLOps & AIOps
Take models from notebook to monitored production
MLOps
- Reproducible training pipelines and experiment tracking
- Model registry, versioning and approval workflow
- Containerised serving with autoscaling on Kubernetes
- Data and model drift monitoring with retrain triggers
- Algorithm and model setup: tuning, validation and CI for ML code
AIOps
- Alert correlation and de-duplication to cut noise
- Anomaly detection on metrics and logs
- Automated runbooks and first-response remediation
- Capacity and cost forecasting
- Incident timelines and post-incident insights
Technology
Tools we work with every day
CI/CD
JenkinsGitHub ActionsGitHubArgo CDGitLab CI
Containers & orchestration
DockerKubernetesHelmKustomizeIstio
Infrastructure as code
TerraformAnsibleCloudFormationPulumi
Monitoring & logging
PrometheusGrafanaAlertmanagerELKLokiOpenTelemetry
Cloud platforms
AWSAzureGoogle CloudOn-prem / hybrid
ML platform
MLflowKubeflowAirflowKServeFeast
Ways to work together
Engagement models
Assessment
A short, fixed-scope review of your architecture, pipelines and cloud setup, ending in a prioritised roadmap.
Project delivery
Defined outcomes such as a migration wave, a Kubernetes platform or a CI/CD rebuild, with milestones and handover.
Ongoing support
Embedded engineers or managed operations for monitoring, upgrades, cost tuning and release support.
FAQ
Common questions
Do we have to rewrite our application to use microservices?
No. We usually start with the strangler pattern: new or extracted capabilities run as services behind a gateway while the monolith keeps serving the rest. You migrate in steps, not all at once.
Which cloud do you work with?
AWS, Azure and Google Cloud, plus hybrid and on-prem Kubernetes. Recommendations follow your workload, skills and cost goals, not a vendor preference.
Can you move us from Jenkins to GitHub Actions?
Yes. We inventory your existing jobs, port them to reusable workflows, run both in parallel, then cut over once results match.
What do alerts and monitoring cover?
Infrastructure, application and business metrics, centralised logs and traces, with alert rules tied to SLOs and routed to the right on-call channel.
Do you only build, or do you also operate?
Both are available. Many teams use us to build and hand over; others keep us on for ongoing operations and release support.
How do we get started?
Send a short note through the form below describing your current setup and goals. We reply with proposed next steps.