Kubernetes consulting that starts with whether you need it.
Tensech helps teams decide when Kubernetes is the right choice, then design, secure and run production clusters, including EKS, with sound deployment pipelines, autoscaling, observability and cost control.
Kubernetes solves real problems and creates new ones.
Container orchestration lets teams run many services reliably, but it also adds a platform to operate. Clusters need upgrades, networking, access control, monitoring and a deployment workflow that developers can actually use.
Teams that adopt it too early carry operational weight they did not need. Teams that adopt it without design end up with fragile clusters, slow deployments and a cloud bill that grows with every added node.
- Kubernetes adopted for a workload that did not need it
- Clusters with unclear ownership, upgrades and access rules
- Deployments that are manual, slow or hard to roll back
- Idle capacity and oversized nodes driving up cost
- Little visibility into why a service is slow or restarting
Right-sized platforms, designed for the team that runs them.
We begin by asking whether Kubernetes fits: the number of services, the release frequency, the team and the alternatives, such as simpler container or serverless options. If it fits, we design the smallest cluster setup that meets your needs.
Delivery, scaling, security and monitoring are designed together, with the configuration kept in version control. That makes clusters reproducible and gives developers a clear path from commit to production.
Kubernetes capabilities.
Six areas that decide whether a cluster is an asset or a burden.
Adoption and architecture decisions
An honest assessment of whether and how to adopt Kubernetes for your workloads.
- Fit assessment against simpler options
- Microservices boundaries and sizing
- Managed versus self-managed control plane
- Migration path for existing containers
Cluster design and EKS
Cluster layout, networking and node strategy, including managed offerings such as Amazon EKS.
- Cluster and namespace topology
- Networking and ingress design
- Node groups and scheduling
- Upgrade and lifecycle planning
Deployment pipelines
A repeatable route from commit to production that developers trust.
- CI/CD with GitHub Actions
- Container build and image practices
- Progressive and rollback-ready releases
- Configuration kept in version control
Autoscaling and resilience
Capacity that follows demand and workloads that survive node and zone failures.
- Horizontal and cluster autoscaling
- Resource requests and limits
- Health checks and self-healing
- Multi-zone placement
Observability and security
Visibility into services and a hardened cluster, built in rather than bolted on.
- Metrics, logs and tracing
- Alerting on service-level signals
- Role-based access and secrets handling
- Image scanning and network policies
Kubernetes cost optimization
Cluster cost made visible and reduced without trading away reliability.
- Right-sizing workloads and nodes
- Idle and over-provisioned capacity review
- Cost attribution by namespace or team
- Continuous optimization reviews
The container platform stack.
Tools we use together to build and run container platforms.
Containers
- Kubernetes
- Docker
Cloud
- AWS
- Azure
- Google Cloud
Automation
- Terraform
- GitHub Actions
- CI/CD
- Infrastructure as code
Data and messaging
- PostgreSQL
- Redis
- Kafka
- MongoDB
From fit assessment to a platform your team can run.
Each step reduces operational risk and leaves your team more capable, not more dependent.
Assess fit and requirements
We review workloads, release cadence and team skills, and confirm Kubernetes is the right tool.
Design the cluster and environments
We define topology, networking, access control and scaling policy, and write the decisions down.
Provision with infrastructure as code
Clusters and supporting resources are built with Terraform so they can be reviewed and recreated.
Build the delivery pipeline
Container builds, tests and deployments are automated, with safe rollouts and rollbacks.
Add observability and tune cost
We instrument services, set alerts that matter and review capacity and spend on an ongoing basis.
What a well-run Kubernetes platform gives you.
The outcomes we design toward on every cluster.
The right tool for the job
We say so when a simpler option fits, which saves operational effort and money.
Faster, safer releases
Automated pipelines and rollback-ready deployments let teams ship more often with less risk.
Capacity that follows demand
Autoscaling and right-sizing keep you from paying for idle nodes or running out at peak.
Visibility into every service
Metrics, logs and tracing shorten the time from a problem appearing to a fix landing.
A platform you can hand over
Configuration in version control and clear runbooks mean your team can operate it confidently.
Kubernetes consulting: common questions.
What buyers usually ask before starting a project with us.
When should we use Kubernetes?
Kubernetes pays off when you run many services, release often and need portable, automated operations. For a small number of services or a small team, simpler container hosting or serverless is often cheaper to run.
Do you provide AWS EKS consulting?
Yes. EKS is a managed Kubernetes control plane on AWS, and we help with cluster design, networking, node strategy, security and operations around it. We also work with Kubernetes on Azure and Google Cloud.
How do you reduce Kubernetes costs?
We right-size workloads and nodes, set sensible resource requests, tune autoscaling and remove idle capacity. We also attribute cost by namespace or team so spend stays visible and reviewable.
Is Kubernetes a good fit for microservices?
Usually, when service boundaries are well chosen. Kubernetes handles scheduling, scaling and service discovery, but it does not fix poorly drawn boundaries, so we review the architecture first.
Can you take over an existing cluster?
Yes. We start with a review of design, access, upgrades, observability and cost, then prioritize fixes. We document the cluster so your team understands what it runs.
How does this relate to DevOps services?
Kubernetes is one part of a broader delivery platform. Our DevOps consulting covers pipelines, infrastructure as code and release practices across the whole stack, with or without Kubernetes.
Related services and expertise.
Deciding on Kubernetes, or fixing a cluster that costs too much?
Describe your services and your team. We will give you a frank view on fit, design and where to start.