Application containerization
Code that only behaves on one laptop is a liability. We package your applications into lean Docker images that run identically in development, staging, and production.
We package your applications into clean Docker containers and run them on production-grade Kubernetes, so deployments are repeatable, scaling is automatic, and a failing node is a non-event.
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Code that only behaves on one laptop is a liability. We package your applications into lean Docker images that run identically in development, staging, and production.
Manual scaling breaks down as services multiply. We stand up hardened, production-ready Kubernetes clusters on AWS, Azure, or Google Cloud, sized and tuned to your actual traffic.
We connect your containers to automated build and deploy pipelines, so verified images move from a merged pull request to running workloads without manual steps in between.
Silent failures between microservices ruin user experiences quietly. We set up clear traffic routing, service discovery, and secure service-to-service communication across your cluster.
Customer emails should never be your alerting system. We wire live metrics and alert dashboards into the cluster so problems surface to your team before they reach users.
We build image scanning and tight access controls into the pipeline itself, and for deeper security testing we work together with our vetted specialist security partners.
Walk us through your environment and we will map a deployment architecture around your workflow, with a clear written scope, before you commit to anything.
Start a ProjectWe review your code, servers, and delivery workflow, then tell you honestly what is ready to containerize and which orchestration setup fits your scale.
We design the target platform, settle security rules, networking, and cloud layout, and choose between full Kubernetes and simpler managed options before writing configuration.
Applications are packaged into efficient Docker images with dependencies standardized and dead weight removed, so builds are fast and behave the same everywhere.
We deploy the cluster with health checks, autoscaling rules, and automatic recovery configured, so the platform fixes routine failures without waking anyone up.
Builds connect to your delivery pipeline, and monitoring, logging, and alerting go live, so your team has full visibility from the first deployment.
You get documentation, runbooks, and a real handover your engineers can work from. We stay available afterward for questions and adjustments as workloads grow.
Most cluster pain traces back to configuration shortcuts. We build environments carefully from the start, with recovery and resource limits set deliberately, not left at defaults.
Your developers should merge code and see it running, not wrestle with configuration files. We keep the pipeline simple enough that the whole team can use it.
Configurations, charts, and deployment scripts are yours outright. Your team can change, upgrade, or migrate the platform without asking our permission.
Our container engineers work hours that overlap yours, so reviews, incidents, and planning happen in real time rather than in overnight handoffs.
Vetted engineers who join your team, work your hours, and follow your workflow.
Learn more →A complete unit with delivery management that owns your product end to end.
Learn more →A written scope, a fixed USD quote, and a committed timeline before we start.
Learn more →Containerization packages an application with everything it needs so it runs identically in every environment. Orchestration manages those containers at scale: deployment, scaling, health checks, and recovery. Our service covers the whole setup, from packaging your applications to running the platform they live on.
It depends on how many services you run and how they need to scale. Kubernetes is the right answer for most multi-service production environments, while smaller setups are often better served by simpler managed options. We assess your workload first and recommend the right tool for your scale, not the most complicated one.
Usually yes, and usually incrementally. We study how the application is structured and what it depends on, then containerize piece by piece in an order that keeps it running. We do not force a migration that breaks more than it fixes.
A readiness assessment and initial setup is typically a few weeks. Full containerization with Kubernetes for a multi-service application usually takes a few months, depending on how many services exist and how well documented the current infrastructure is. You get a written timeline with the scope.
You do, fully. Cluster configuration, infrastructure code, charts, pipeline definitions, and documentation all belong to your team, written so your engineers can maintain and extend everything without depending on us.
Give your new cluster the metrics, logs, and alerts it needs to be operated confidently.
Learn more →Assessment, architecture, and remote management for everything underneath the containers.
Learn more →Choose the right cloud setup and keep its costs deliberate as your platform grows.
Learn more →Tell us about your application and current infrastructure through the contact form. You will get a straight assessment and a clear USD quote.
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