Modern application infrastructure and developer platforms
We containerize workloads using open standards and deploy production-grade Kubernetes platforms with automated scaling, self-healing nodes, and structured developer workflows.
Before standardized shipping containers, freight had to be manually unpacked, sorted, and reloaded at every port, taking days and causing constant damage. Docker standardizes your code into uniform steel containers, and Kubernetes is the automated port facility: robotic cranes that stack, balance, and instantly replace damaged containers without stopping the port.
Architect, deploy, and scale resilient container infrastructure on Kubernetes, providing developer teams with turnkey self-service platforms.
Running stateful workloads without persistent volume backups, unbounded pod resource requests, root container execution, and manual kubectl hot-patching.
Assess your organization's preparation before initiating services in Containers, Kubernetes & Platform Engineering:
Fast, lightweight Dockerfiles and multi-stage builds optimized for minimal image sizes.
Package applications and their dependencies into Docker containers so they run more consistently across environments. We configure images, networking, storage, and runtime settings.
Standardized multi-container local environments with database seeds and live code reloading.
Define and run multi-container applications using a Compose configuration. This makes it easier to start, connect, configure, and maintain related services together.
Strategic Kubernetes architecture reviews covering cluster sizing, security, and cost control.
Get help deciding how Kubernetes fits your application and operating model. We assess architecture, deployment needs, team readiness, reliability, and operational complexity.
Production-grade Kubernetes clusters engineered with high availability and automated scaling.
Create and configure a Kubernetes cluster for running containerized applications. Setup may include networking, access controls, node pools, monitoring, and deployment foundations.
Fully managed AWS EKS clusters with Karpenter autoscaling, IRSA, and managed node groups.
Configure and maintain Kubernetes workloads on Amazon Elastic Kubernetes Service (EKS). We help with cluster operations, upgrades, access, workloads, and reliability.
Enterprise Azure Kubernetes Service with Azure CNI, workload identity, and Entra ID RBAC.
Configure and maintain Kubernetes workloads on Azure Kubernetes Service (AKS). Services can include cluster configuration, upgrades, monitoring, security, and deployment support.
High-performance Google Kubernetes Engine clusters with Datapath v2, Autopilot, and Spot pools.
Configure and maintain Kubernetes workloads on Google Kubernetes Engine (GKE). We help manage clusters, deployments, scaling, access, and operational health.
Transform monolithic applications into lightweight, production-ready container images.
Convert applications or services to run in containers. We assess dependencies, create container images, and prepare the application for repeatable deployment.
Secure private container registries with vulnerability scanning, image signing, and lifecycle rules.
Set up a secure place to store, version, scan, and distribute container images. We configure access and workflows so approved images can be used by deployment systems.
Production Helm charts with customizable values, linting, and automated version-controlled packaging.
Create Helm charts to package and configure Kubernetes applications. Charts make deployments easier to reuse, customize, version, and maintain.
Dynamic autoscaling with Horizontal Pod Autoscaler and KEDA event-driven triggers.
Improve how Kubernetes workloads use resources and respond to demand. We review resource requests, limits, autoscaling, scheduling, and cluster capacity.
Lock down clusters with Pod Security Standards, NetworkPolicies, and least-privilege RBAC.
Strengthen the security of Kubernetes clusters and workloads. Work may include access controls, network policies, image scanning, secrets handling, and secure configuration.
Mutual TLS encryption, traffic routing, and fine-grained observability via Istio and Linkerd.
Introduce a service mesh to manage communication between services in a distributed application. Depending on the platform, it can provide traffic controls, service identity, encryption, and observability.
Self-service developer platforms that eliminate Jira tickets for cloud infrastructure.
Build shared tools and workflows that help developers deploy and operate software without handling every infrastructure detail themselves. The platform standardizes common paths while preserving appropriate controls.
Empower software teams with golden path templates, automated preview URLs, and cloud guardrails.
Create and maintain the internal platforms, automation, and self-service capabilities that make software delivery easier for engineering teams. The focus is on developer productivity, consistency, and reliable operations.
Centralized developer portals built on Backstage for API discovery, ownership, and docs.
Build a central portal where developers can discover services, documentation, templates, environments, and operational tools. A good portal makes internal systems easier to understand and use.
Enable engineering teams to provision pre-approved cloud resources safely on demand.
Let approved users request or provision standard infrastructure through controlled workflows. This reduces waiting and manual work while keeping security, policies, and costs in view.
Battle-tested, documented Terraform modules that reduce new service setup time by 90%.
Create standardized infrastructure components that teams can reuse across projects. Modules help reduce duplication and make configurations easier to review and maintain.
Cost-effective serverless architectures that auto-scale to zero when idle and burst instantly.
Design applications using managed services that run code or handle events without requiring you to manage the underlying servers directly. We consider scaling, costs, integrations, and operational trade-offs.
Optimized Lambda functions with fast cold starts, VPC connection pooling, and DLQ handling.
Build or improve functions that run on AWS Lambda in response to requests, events, or schedules. We help with code, triggers, permissions, integrations, and deployment.
Speak directly with a Principal Cloud Architect. We will review your infrastructure requirements and deliver a written Statement of Work.
