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Container & Serverless Adoption
Modern architecture your team can build on.
We help engineering teams adopt containers and serverless architectures in a way that is practical, well-structured, and built to scale without adding operational complexity.
What is container and serverless adoption?
Container and serverless adoption is the process of moving your workloads onto modern cloud-native architectures that are more portable, more scalable, and cheaper to operate than the VM-based or monolithic setups they replace.
Containers package your application and its dependencies into a single, portable unit that runs consistently across every environment. Kubernetes orchestrates those containers at scale, handling deployment, scaling, self-healing, and rollbacks automatically. Serverless takes this further for specific workloads, removing the need to manage infrastructure entirely and charging only for actual compute time consumed.
Most teams know these technologies are the right direction. The challenge is adoption. Containerising a working application without breaking it, configuring Kubernetes correctly the first time, designing serverless functions that are observable and cost-efficient rather than expensive and opaque — these are non-trivial problems that require experience to get right.
Cleq designs and implements container and serverless architectures that are practical for your team to operate from day one. We assess your workloads, recommend the right approach for each service, build the target architecture, and hand over a fully documented environment your engineers can extend independently.
The importance of a solid infrastructure
Cleq helps you adopt containers and serverless without the complexity, overhead, and false starts that slow most teams down. Monthly subscriptions and no ticket queues.
Without Cleq
- ✕Monolithic or VM-based setups that slow deployments and limit scalability
- ✕Container adoption stalled by misconfigured orchestration and unclear ownership
- ✕Serverless functions that work in isolation but fail to integrate cleanly at scale
- ✕Engineers spending more time managing infrastructure than shipping features
With
- ✓Containerised workloads running on a well-configured Kubernetes cluster from day one
- ✓Serverless functions designed for reliability, observability, and cost efficiency
- ✓A clear architecture your team understands and can extend independently
- ✓Infrastructure that scales automatically without manual intervention
How we do it
Our step-by-step process makes container and serverless adoption structured, practical, and built for long-term maintainability.
1
Week 1Assessment & Architecture Design
- Audit your existing workloads, deployment patterns, and infrastructure dependencies
- Identify which services are best suited for containerisation and which for serverless
- Design a target architecture that fits your team size, release cadence, and scaling needs
2
Weeks 2–4Implementation & Integration
- Containerise workloads with Docker and deploy onto a configured Kubernetes cluster
- Design and implement serverless functions with proper event triggers, error handling, and observability
- Integrate with CI/CD pipelines for automated container builds and serverless deployments
Platforms We Deploy On
We implement container and serverless architectures across all major cloud providers and tooling, selecting the right combination for your workload, team, and cost requirements.
What’s Included
Self-hosted infrastructure setup
What sets us apart
Your Trusted Cloud Partner.
Real Engineering, No Layers
Work directly with senior engineers for faster, high-quality solutions, no ticket queues, no junior buffers.
Have Questions?
Frequently Asked Questions
Most projects are completed within 4–6 weeks, depending on environment complexity and scope. We move quickly but with care — every component is tested, documented, and handed over properly before we close the engagement.
Thinking about ditching servers for something more flexible?
We help you adopt containers and serverless the right way so your apps scale automatically, deployments stay simple, and you only pay for what you actually use.
