We implement DevOps practices and platform engineering that reduce deployment risk, improve reliability, accelerate delivery velocity, and give your team confidence at every release.
Slow, manual deployments, inconsistent environments, and reactive firefighting are symptoms of an organization that has outgrown its delivery practices. RadiCorp implements modern DevOps and platform engineering disciplines that replace unpredictability with repeatability — and anxiety with confidence.
From building your first CI/CD pipeline to establishing a full internal developer platform with golden paths, we meet you where you are. Our SRE-informed approach ensures that faster delivery does not come at the cost of reliability — we define SLOs, implement observability stacks, and introduce error budgets so that speed and stability are not at odds.
We implement the full DevOps toolchain — from pipelines to Kubernetes to observability — with an SRE mindset baked in throughout.
Deep expertise across the DevOps toolchain — we choose tools that fit your team and your stack.
A pragmatic, phased approach that delivers early wins while building toward a mature platform engineering practice.
We evaluate your current delivery pipelines, infrastructure management, testing practices, and incident response to establish a maturity baseline and identify the highest-impact improvements.
We design your target DevOps platform — CI/CD toolchain, Kubernetes architecture, IaC module structure, observability stack, and security integration — before writing a single line of pipeline code.
Pipelines and infrastructure modules are built, tested, and deployed iteratively — starting with your most critical application to demonstrate value quickly and refine patterns before wider rollout.
We instrument your applications and infrastructure with metrics, logs, and traces. SLOs are defined with stakeholders, dashboards are built, and alerting thresholds are calibrated to reduce noise.
Security scanning is integrated into pipelines, secrets management is centralized, container images are scanned and signed, and Kubernetes RBAC and network policies are hardened.
Your engineering team is trained on the platform — runbooks, incident playbooks, and architecture decision records are handed over so your team can operate, extend, and evolve the platform independently.
Pair your DevOps pipelines with a well-architected cloud foundation — landing zones, networking, IAM, and FinOps practices that give your platform a stable, secure base to run on.
Explore Cloud ComputingApply DevOps discipline to your data pipelines — automated testing, Airflow CI/CD, and Kubernetes-based data processing for reliable, reproducible data engineering at scale.
Explore Big DataExtend your DevOps investment with ongoing managed support — 24/7 platform monitoring, incident response, and continuous improvement of your DevOps toolchain post-implementation.
Explore Managed SupportTell us about your deployment pain points, team size, and reliability goals. We will design a DevOps and platform engineering roadmap tailored to your engineering culture.