Cloud
Production and hybrid workloads on AWS; Oracle Cloud Infrastructure for migrations and OpenShift-to-K8s moves.
Hands-on consulting aligned with how modern teams ship — automation first, security baked in, platforms that scale.
Visibility into what you're spending and why — right-sizing compute, eliminating waste, and building cost-aware infrastructure from the ground up. Real savings, not just dashboards.
Pipeline design, GitOps, quality gates (linting, tests, SonarQube), and repeatable releases from hours to minutes.
EKS and on-prem clusters, Helm, migrations from OpenShift, hybrid workloads, and hardened platform patterns.
Prometheus, Grafana stack (Loki, Tempo), alerting, SLOs, and incident-ready visibility — not just dashboards.
Terraform, Ansible, provisioning, lifecycle automation, and cost-aware right-sizing with your teams.
Kafka & ZooKeeper (incl. MirrorMaker), Redis cluster operations, DR automation, and observability tuned to lag, throughput, and cluster health.
AWS, OCI, Cloudflare (WAF, tunnels, Zero Trust), and patterns that protect apps end-to-end.
Who we are
For over a decade we have led infrastructure and DevOps work at banks, cloud-native startups, and enterprise scale — the real work of keeping platforms stable while shipping faster.
We don't parachute in, deliver a diagram, and leave. We embed, own problems end-to-end, and make sure your team can operate what we build without a call to us every Monday.
EKS with centralized observability (Grafana stack: Prometheus, Loki, Tempo, S3). Terraform vSphere automation. CI/CD pipelines, Cloudflare security, ~50% infra cost reduction.
Streaming platform, Kubernetes on OCI, Kafka/Redis, Jenkins pipelines, observability, DR automation.
CI/CD, OpenShift, Terraform, platform engineering and system design.
Leading platform initiatives focused on automation, scalability, and developer experience.
Experience across cloud infrastructure, CI/CD pipelines, and system reliability engineering.
Worked on backend systems, automation, and infrastructure support across environments.
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Production and hybrid workloads on AWS; Oracle Cloud Infrastructure for migrations and OpenShift-to-K8s moves.
Cluster design, Helm releases, OpenShift hardening, and migrations from legacy platforms to standardized K8s.
Pipeline as code, automated testing & quality checks, GitOps workflows, and release standardisation from hours to minutes.
Provisioning, drift control, and repeatable environments — from vSphere modules to cluster bootstrap and policy.
Unified metrics, logs, and traces; alerting and SLOs tied to incident response — not vanity dashboards.
Kafka and ZooKeeper (MirrorMaker, Kafka Connect), Redis Sentinel and clusters, and observability so streaming and cache tiers stay measurable. Flink and Kafka Streams beside microservices only when the architecture warrants it.
Automation glue, release tooling, and integration scripts that keep pipelines and ops maintainable.
Visibility into cloud spend, right-sizing compute, eliminating idle resources, and building cost-aware infrastructure — proven ~50% reduction at LMNTO.
Workflows that keep engineering, ops, and leadership aligned on delivery and incidents.
Follow our work on platform engineering and DevOps practices.
Whether you need to save Costs, CI/CD hardening, Kubernetes operations, or observability that your teams can run with — reach out.
[email protected]