Kubernetes Consulting That Gives Developers a Paved Road
For platform and engineering leaders who want Kubernetes to speed teams up rather than slow them down - on EKS, AKS or GKE, with security and cost built in.
Maatara Consulting is an AI-native technology consultancy, with teams in Concord, California and Bengaluru, India, that designs, builds, secures and runs cloud and AI systems. Our Kubernetes consulting and platform engineering turn clusters into a self-service platform your teams actually like using.
- Assessment
- Platform design
- Build
- Migrate workloads
- Enable teams
- Operate
How We Approach Kubernetes Consulting
Kubernetes consulting is not just standing up clusters. The value comes from the platform around them: templates, pipelines, policy and observability that let a product team ship a service without learning every Kubernetes detail. We build that platform, then make it easy to run.
Platform as a product
We treat your platform like a product with users: developers. Their time to first deploy is the measure that matters.
- Golden paths for common services
- Developer feedback built into the roadmap
Everything through Git
Cluster config and application deployments are declared in Git and synced by GitOps, so every change is reviewed and reversible.
- No manual kubectl changes in production
- Drift detected and corrected
Secure by policy
Admission policies, network rules and secrets management stop risky deployments before they run.
- Policy checks on every deploy
- Least-privilege access per team
Cost you can see
Requests, limits and autoscaling are tuned, and spend is shown per namespace and team.
- Cost per team and service
- Right-sizing from real usage
Four Building Blocks of a Kubernetes Platform
We implement all four on managed Kubernetes so your team runs less.
Managed clusters
EKS, AKS or GKE built with Terraform, with node pools, autoscaling and upgrade paths designed in.
GitOps delivery
Argo CD or Flux syncing clusters and apps from Git, with promotion between environments.
Internal developer platform
Service templates, environments on demand and a portal so teams self-serve within guardrails.
Policy, security and observability
Admission control, network policy, secrets, and metrics, logs and traces for every workload.
Our Kubernetes Consulting and Platform Engineering Services
Start where your platform hurts most; the pieces fit together.
Kubernetes assessment
Review of clusters, workloads, security, cost and operations.
Cluster build and migration
New managed clusters, or moving workloads off self-managed ones.
GitOps implementation
Declarative delivery with environment promotion and rollback.
Developer platform
Templates, self-service environments and a developer portal.
Upgrade and lifecycle
Planned version upgrades and add-on management without outages.
Security hardening
Policies, RBAC, network rules, image scanning and secrets.
Observability
Metrics, logs, traces and SLO dashboards per service.
Cost optimisation
Requests, limits, autoscaling and cost per namespace.
Managed Kubernetes support
Ongoing operations, on-call and upgrades.
Why Teams Choose Maatara for Kubernetes Consulting
We run containerised systems ourselves and design platforms to be handed over. Our CTO, Krish B, brings 20+ years of distributed-systems and storage engineering from Dell Technologies and 30+ granted patents. Everything we build is declared in code in your repositories, with runbooks your own engineers can follow.
Meet the teamKubernetes upgrades you keep postponing?
Get a tested upgrade plan and runbook.
What Teams Achieve
These are the commitments every Kubernetes consulting engagement works to.
Of cluster and app configuration declared in Git
Environments created from templates, not tickets
Checked against security and resource policy
Kubernetes cost visible each month
Typical Deliverables
Everything our Kubernetes consulting team builds is yours, in your accounts and repositories.
Clusters as code
Terraform for clusters, node pools and add-ons.
GitOps repositories
Structured repos for platform and app config with promotion flow.
Service templates
Golden-path templates for common service types.
Policy library
Admission and network policies with tests.
Dashboards and SLOs
Platform and service health, with alerts.
Upgrade and on-call runbooks
How to upgrade, recover and respond.
Developers waiting days for environments?
Give them self-service within guardrails.
Platforms in Production
Distributed systems our engineers have built and run.
Digital Signage
Build · Cloud - One player codebase for Android, Linux and desktop, offline-tolerant playback, and a multi-tenant portal that lets non-engineers run forty sites from one login.
Ops-Intelligence
AI · Cloud - An agent that watches enterprise applications, correlates signals across dependent services and points to the dependency behind a failure. Known faults run on deterministic rules, a local model handles only new events, and an operator approves every change.
MoreSpace
Build · AI - An index-first pipeline that deduplicates files and moves them between a person's cloud storage accounts, built for around 5 PB of private files with authentication and encryption in transit on every transfer.
Kubernetes Across How You Go to Market
Kubernetes consulting priorities depend on your customers.
B2B & Enterprise
Tenant isolation, audit trails and policy evidence for security reviews, with predictable upgrade windows.
No idea what each team's cluster costs?
See spend per namespace and team.
Our Kubernetes Consulting Process
Six steps from today's clusters to a platform your teams self-serve on.
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01
Assessment
Review clusters, workloads, delivery, security and cost.
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02
Platform design
Agree cluster topology, GitOps flow, policies and golden paths.
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03
Build
Provision clusters and platform components as code.
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04
Migrate workloads
Move services onto the platform in planned waves.
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05
Enable teams
Templates, docs and pairing so teams deploy on their own.
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06
Operate
Upgrades, cost reviews and on-call, by us or your team.
Our Engagement Model
How a Kubernetes consulting engagement runs commercially.
Analysis
Free consultation and NDA, then read-only access to review clusters and pipelines.
Design
A proposal with platform scope, migration waves, milestones and a fixed price.
Development
Platform built in code with demos to your platform and product teams.
Optimization
Policies, autoscaling and costs tuned on real workloads.
Deployment
Teams onboarded in waves with documentation and pairing.
Support
Managed Kubernetes support each month, or a full handover.
Clusters configured by hand?
Move to GitOps so every change is reviewed.
Flexible Engagement Models
Three ways to buy Kubernetes consulting.
Dedicated team
A dedicated platform team that builds and runs your Kubernetes platform, billed monthly.
Hire a teamFixed scope
A Kubernetes assessment, cluster migration or developer platform build, at a fixed, milestone-based price.
Get a quoteAdvisory & hourly
Senior review of your cluster design, GitOps or upgrade plan, by the hour.
Book advisoryReady for a platform teams want to use?
Start with a free Kubernetes consulting review.
Is Kubernetes Consulting a Fit for You?
A good fit if
- You run, or plan to run, many services on Kubernetes.
- Upgrades, security or costs worry your platform team.
- Developers wait for environments or struggle with configuration.
- You want a platform your own team can run after handover.
The wrong start if
- You run a handful of services that a simpler managed platform would host.
- You want manual changes in production to continue.
- No one will own the platform day to day.
Kubernetes Consulting FAQs
Kubernetes consulting at Maatara covers assessing your clusters, designing and building managed clusters, GitOps delivery, security policy, observability and cost control, and an internal developer platform so teams can deploy without deep Kubernetes knowledge. We can also run the platform for you afterwards.
Still have a question?
Ask an engineer, not a call centre. You get a straight answer within one business day.
Ask our teamKubernetes consulting at Maatara covers assessing your clusters, designing and building managed clusters, GitOps delivery, security policy, observability and cost control, and an internal developer platform so teams can deploy without deep Kubernetes knowledge. We can also run the platform for you afterwards.
Not always. If you run a few services with steady traffic, managed container services or serverless may be simpler and cheaper. Kubernetes pays off with many services, several teams or specific scaling and networking needs. We will tell you honestly which fits during the assessment.
Usually the one on the cloud you already use, since identity, networking and billing are simpler. Each is mature. We design the platform with Terraform and GitOps so the workload layer stays portable if you later run on more than one.
Platform engineering builds an internal platform - templates, pipelines, environments and guardrails - that product teams use to ship software themselves. It turns Kubernetes and cloud services into a paved road, so developers spend time on features rather than infrastructure configuration, and gives the business consistent security and cost control.
Yes. We plan upgrades with add-on compatibility checks, test them in lower environments, and roll them through production with a rollback path. Under managed support we keep clusters on supported versions as a routine task, not an emergency.
As a fixed-scope project priced by milestone, a dedicated platform team billed monthly, or advisory by the hour. After a free consultation we send a fixed-price proposal with no hidden costs and an estimate of platform running costs, including cluster, tooling and support.
Ready for a Platform Teams Want to Use?
Tell us about your clusters, teams and biggest pain points. An engineer replies within one business day with a first view. Every Kubernetes consulting engagement starts with a free consultation.