Accelerates time to production by up to 10× compared to manual deployments.
Includes end-to-end CI/CD, Kubernetes, IaC, and observability — all production-ready.
Works for greenfield apps and legacy application refactoring projects.
Fixed price, fixed scope. Delivered in 4–8 weeks depending on the tier.
Development teams at growing companies routinely spend 30–50% of their engineering time on deployment plumbing — configuring servers, debugging environment differences, managing secrets, and manually triggering releases. That is engineering time that should be spent building product.
Kubernetes and cloud-native tooling are powerful, but the learning curve is steep. Companies trying to build their own pipelines from scratch frequently underestimate the complexity and end up with fragile, poorly documented systems that only one or two engineers understand.
Manual deployments to staging and production cause long feedback cycles and bottlenecks.
"Works on my machine" bugs caused by inconsistent environments waste days of debugging.
No observability — teams only learn about production issues when customers report them.
Secrets and credentials managed ad hoc, creating security and compliance risk.
Legacy apps cannot be refactored quickly because there is no safe deployment process.
A complete, production-ready package — from architecture to deployment to ongoing support.
Dockerised builds with automated image scanning and a private container registry on your cloud.
GitOps-driven CI/CD using GitHub Actions, GitLab CI or Azure Pipelines — with gated deployments and rollback.
EKS, AKS or GKE cluster with auto-scaling, health checks, and Helm chart management.
Terraform modules for every environment — dev, staging and production — with state management and drift detection.
HashiCorp Vault or cloud-native secrets management, RBAC policies, and image vulnerability scanning in the pipeline.
Metrics, logs and traces with Prometheus, Grafana or cloud-native tooling — dashboards and alerts from day one.
10×
Automated pipelines replace manual release steps.
75%
Containerisation eliminates "works on my machine" issues.
<5 min
Automated rollback triggered by health check failure.
50%+
Engineers spend less time on ops and more time building product.
A transparent, structured delivery plan with weekly milestones so you always know what is happening and what comes next.
Every tier is a fixed-scope, fixed-price engagement. Start small and scale when ready.
From $2,000
1 week
Audit your current deployment process, identify gaps, and produce a prioritised modernisation roadmap.
From $7,500
2 weeks
Stand up a working CI/CD pipeline for one application end-to-end.
From $20,000
4–6 weeks
Full production CI/CD, Kubernetes, IaC and observability for your team.
From $32,000
6–10 weeks
Multi-cluster, multi-region or service mesh architecture for high-scale teams.
From $3,500/mo
Ongoing
Ongoing cluster operations, patching, pipeline maintenance and cost optimisation.
Compared to generic consultancies and do-it-yourself approaches.
| Feature / Criterion | Mars Innovation Technology | Generic Consultancy | DIY / In-House |
|---|---|---|---|
Fixed-price delivery | |||
GitOps CI/CD pipeline | Variable | Manual | |
Kubernetes expertise | Limited | ||
IaC for all environments | Extra cost | ||
Observability stack included | |||
Runbook + knowledge transfer | Extra cost | ||
Ongoing managed option |
It is a fixed-price engagement that delivers a production-ready CI/CD pipeline, Kubernetes cluster, infrastructure-as-code, secrets management, and observability stack for your engineering team in 4–6 weeks.
Yes. For greenfield projects we set up the full cloud-native foundation before you write your first line of application code. For legacy apps we containerise and pipeline-enable the existing application without requiring a full rewrite.
We use GitHub Actions, GitLab CI/CD, Azure Pipelines, or AWS CodePipeline depending on your existing tooling. All pipelines follow GitOps principles with merge-based promotions and automated rollback.
We deploy and configure Amazon EKS, Azure AKS, and Google GKE. We also support lightweight distributions such as K3s for edge or cost-sensitive workloads.
We integrate HashiCorp Vault or cloud-native secrets managers (AWS Secrets Manager, Azure Key Vault, GCP Secret Manager) and configure your pipelines to inject secrets at runtime rather than storing them in code or environment files.
We deploy Prometheus and Grafana or equivalent cloud-native tooling (AWS CloudWatch, Azure Monitor, Google Cloud Monitoring). You get pre-built dashboards for your applications and infrastructure, plus alerting rules from day one.
Each tier is fixed price and fixed scope. We confirm the exact scope during the free Assessment. Cloud infrastructure costs are billed to your account separately.
Yes. Our Application Modernization service provides a pathway from monolith to containerised services. The Cloud-Native Development Launchpad then provides the deployment infrastructure for those services.
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