Kubernetes consulting
Autoscaling, migration, cost control and Day 2 support on EKS, GKE and AKS from engineers who scaled telecom products to millions of users.
DevOps and platform engineering. Authors of the Kite infrastructure-as-code language.
Kitecorp is a DevOps and platform-engineering consultancy. We scale microservices, migrate monoliths and data to the cloud, and run Kubernetes, CI/CD and AI operations for products that serve millions of users, with the engineers who did it for T-Mobile, Verizon and TMcell.
Experience
Scaled consumer products to millions of users for T-Mobile, Verizon and TMcell. Built platforms for mimedia.com, sliide.com, eppione.com and transferify.eu. Designed and built Kite, an open-source infrastructure-as-code language built by Kitecorp.
Open source
Most teams configure infrastructure. We designed a language for it. Kite is an open-source infrastructure-as-code language built by Kitecorp, published with its code in the Kitecorp GitHub organisation. Designing a language means deciding what should be impossible to get wrong, and that judgement is what we bring to your Terraform, your Kubernetes and your pipelines.
Explore Kite or read why we built it
Autoscaling, migration, cost control and Day 2 support on EKS, GKE and AKS from engineers who scaled telecom products to millions of users.
Planned migrations of on-prem systems and very large data sets to AWS, GCP or Azure: inventory, cutover plan, data transfer at scale, and a rollback path.
Step-by-step extraction of services from a monolith, the data changes that come with it, and horizontal and vertical scaling of the result.
Self-service infrastructure, golden paths and Kubernetes platforms that developers adopt because they are faster than the old way.
SLOs, observability, incident response and capacity planning from engineers who ran consumer services for millions of users.
Argo CD, Flux, Jenkins, GitHub Actions runners and GitLab CI: pipeline design, migration between them, and build time cut.
Media servers, TURN, WebSocket fan-out and load tests for products where millions of connections stay open at once.
Terraform, Ansible and Kite across AWS, GCP and Azure, from the team that builds the open-source Kite infrastructure-as-code language.
Training and serving pipelines, model registries, GPU node pools on Kubernetes and inference scaling with Kubeflow, Ray, KServe, vLLM, MLflow, SageMaker and Bedrock.
Evals, OpenTelemetry tracing, guardrails and cost control for LLM apps; LangGraph agents, Model Context Protocol servers and tool sandboxes run as production services.
Anomaly detection on Prometheus and Grafana signals, log and metric intelligence, and incident automation that pages fewer people and fixes more on its own.
Products sold through operators fail in public. How we engineer for telecom-scale launches.
We scale: Kubernetes clusters, real-time fleets of WebSocket and WebRTC servers, and the services behind products that are switched on for millions of users at once. We migrate: monoliths into services you can scale on their own, and on-prem systems with very large data sets to AWS, GCP or Azure, verified byte by byte with a rollback that stays open. We run: CI/CD and GitOps that ship safely, infrastructure as code that a fresh clone can plan, site reliability practices that a small team can sustain, and the operations side of machine learning, LLM applications and AI agents.
Every engagement follows the same four steps. A discovery call to understand the system and the deadline. A written assessment with findings and a plan you can accept in full or in part. The implementation with your engineers, on your repositories, in small reviewed changes. A handover with runbooks, dashboards and alerts your team owns, and pricing agreed after the discovery call rather than before it.
Tudor Pop, founder and principal engineer, is on every engagement.
Send a short description of the system and the deadline. A senior engineer replies by email, and pricing follows a discovery call.
Contact Kitecorp or email admin@kitelang.cloud