Docker Containerisation
Converting legacy and greenfield applications into optimised, multi-stage Docker images with minimal attack surface and fast build times.
CLOUD & DEVOPS
Kubernetes & Docker That Scales Effortlessly
Production-grade containerisation and orchestration that reduces infrastructure costs, eliminates deployment headaches, and handles any traffic spike.
60+
K8s Clusters
99.99%
Pod Uptime
80%
Infra Cost Reduction vs VMs
Fixed scope, fixed price
A number before we write code
Your IP from day one
Full ownership on final payment
Senior engineers only
No juniors on your budget
Reply within 1 working day
From an engineer, not a bot
Get Your Custom Project Plan
Share your project details — a senior engineer responds within one working day.
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⚡24hr Response
💬Free Consultation
Our Capabilities
Kubernetes Cluster Setup (EKS/GKE/AKS)
Production-grade Kubernetes clusters on managed cloud providers — configured with RBAC, network policies, and node auto-provisioning.
Helm Chart Development
Reusable, parameterised Helm charts for your applications and third-party dependencies, enabling consistent deployments across environments.
Auto-scaling & Load Balancing
Horizontal Pod Autoscaler, Vertical Pod Autoscaler, and KEDA event-driven scaling configured to handle traffic spikes without over-provisioning.
Service Mesh (Istio)
Istio service mesh for mTLS between services, advanced traffic management, circuit breaking, and distributed tracing across microservices.
Container Security & Image Scanning
Image vulnerability scanning with Trivy or Snyk, admission controllers, runtime security with Falco, and CIS Kubernetes Benchmark hardening.
How we work
Fixed milestones, working software every fortnight, and no surprises on the invoice.
- 01
Container Strategy
We assess your application architecture, team capabilities, and deployment requirements to design the right containerisation approach.
- 02
Dockerisation
Applications are containerised with optimised, production-hardened Dockerfiles, image scanning integrated into the build pipeline.
- 03
Kubernetes Setup
Clusters are provisioned on your chosen managed provider with all production requirements: RBAC, networking, storage, monitoring, and ingress.
- 04
Production Hardening
Security policies, resource quotas, pod disruption budgets, and disaster recovery procedures are implemented and tested before go-live.
Work we have shipped
Accountable partners, not outsourced vendors
How we price, who we staff and what happens after launch — the parts that decide whether a project actually lands.
Fixed scope, fixed price
You know the cost and the timeline before a line of code is written. No hourly billing, no scope-creep surprises.
You own everything
Full source code, credentials and intellectual property transfer to you on final payment. We sign the IP assignment on day one.
Senior engineers only
Every project is staffed by engineers with years of production experience — no juniors learning on your budget.
Canadian data residency
Built for PIPEDA and provincial privacy law, with data kept on Canadian infrastructure where it matters.
8-week MVP programme
A focused, fixed-price path from idea to a launched product, refined across dozens of startup engagements.
Support after launch
Tiered SLAs from monitoring and bug fixes to a dedicated team with 24/7 response. Most clients stay for years.
Recognition
Independent awards and partner tiers, each one earned on delivered work.
Top Generative AI Company
Top App Development Company
Webby Honoree
Best App Award, Personal Growth
Advanced Tier Services Partner
Top 100 North America
Compliance
Regulation is a design constraint here, accounted for from the first architectural decision rather than audited in at the end.
Privacy
Personal data handled to the letter of Canadian and international law.
PIPEDAGDPRHIPAACCPA
Security
Threat modelling, least-privilege access and audited controls.
SOC 2 Type IIISO 27001Zero trust
AI governance
Model evaluation, human oversight and an audit trail.
ISO 42001AIDA-readyModel cards
Sector
The regulations your industry answers to, designed in from day one.
PCI DSSHL7 / FHIROSFI
Cloud
Regional residency, encryption in transit and at rest, tenant isolation.
Canadian data residencyAWS Well-Architected
Accessibility
Built and tested so the people who need it can actually use it.
WCAG 2.2 AAAODA
Common questions
If your question is not here, a senior engineer will answer it within one working day.
Ask our teamDocker Compose is perfectly suited for local development and simple single-server deployments with a handful of services. Kubernetes becomes necessary when you need auto-scaling, multi-node high availability, rolling deployments with zero downtime, or are running many services across a team of engineers. For early-stage startups, Docker Compose on a single VM often scales further than expected.
GKE is the most mature and operationally polished managed Kubernetes, making it a top choice for pure Kubernetes workloads. EKS is the natural choice if you are heavily invested in AWS services. AKS integrates best with Azure AD and Microsoft tooling. All three are production-ready — the right choice usually follows your primary cloud provider.
Stateful workloads use StatefulSets with persistent volumes backed by cloud-native storage (EBS, GCP Persistent Disk, Azure Disk). For databases we typically recommend managed cloud databases (RDS, Cloud SQL) rather than running them in-cluster, unless there is a specific technical or cost requirement to do so.
A service mesh like Istio or Linkerd manages communication between microservices — providing mutual TLS encryption, traffic management (canary, circuit breaking), and distributed tracing. You need it when you have ten or more microservices, need zero-trust networking between services, or require fine-grained traffic control. For smaller deployments, it adds more complexity than benefit.
Cluster upgrades follow a defined process: upgrade control plane first via the managed provider, then cordon and drain nodes one availability zone at a time while new nodes running the target version are provisioned. We test all workloads against the new version in a staging cluster first. Automated upgrade tooling like Karpenter simplifies node lifecycle management on an ongoing basis.
Let’s build something worth keeping.
Tell us what you are trying to build. A senior engineer will come back within one working day with a scope, a timeline and a fixed price.