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DevOps & Platform Engineering

Automate Everything. Release with Confidence.

We implement DevOps practices and platform engineering that reduce deployment risk, improve reliability, accelerate delivery velocity, and give your team confidence at every release.

Modernize Your Pipeline Talk to an Engineer

Engineering velocity without sacrificing stability

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.

Key Outcome
Multiple deployments per day with zero-downtime strategies, 90%+ reduction in manual infrastructure work, and full observability across every environment.
CI/CD Pipeline Status
Build & Test
2m 14s
Security Scan
45s
Deploy to Staging
Running...
Deploy to Production
Pending
12x
Deploys/day
99.9%
Uptime SLO
0
Manual steps

Comprehensive DevOps & platform engineering services

We implement the full DevOps toolchain — from pipelines to Kubernetes to observability — with an SRE mindset baked in throughout.

CI/CD pipeline design & implementation — End-to-end pipelines using Jenkins, GitHub Actions, Azure DevOps, and GitLab CI — covering build, test, security scan, and deployment stages with branch strategies and environment promotion.
Infrastructure as Code — Terraform, CloudFormation, ARM Templates, and Pulumi for declarative, version-controlled, and auditable infrastructure — eliminating configuration drift and manual provisioning errors.
Kubernetes orchestration — EKS, AKS, and GKE cluster design, setup, workload migration, RBAC configuration, resource quotas, HPA/KEDA autoscaling, and multi-tenant namespace management.
Docker containerization — Multi-stage Dockerfile optimization, image layering strategy, private registry management (ECR, ACR, GCR), and container security scanning with Trivy and Snyk.
Configuration management — Ansible playbooks and roles for consistent server configuration, patching, and application deployment — and Helm Charts for Kubernetes application packaging and release management.
GitOps with ArgoCD & Flux — Declarative, Git-driven deployment workflows where the cluster state is continuously reconciled against a Git repository — enabling rollbacks by revert and full auditability.
Observability stack — Prometheus and Grafana for metrics, Alertmanager for notification routing, ELK/EFK Stack for centralized logging, and Jaeger for distributed tracing — full visibility from infrastructure to application.
SRE practices — Define and measure SLOs and SLAs, manage error budgets, implement chaos engineering experiments, and build runbooks and playbooks that reduce incident response time.
DevSecOps integration — Shift-left security: SAST with SonarQube, DAST integration, dependency vulnerability scanning, secrets management with HashiCorp Vault and AWS Secrets Manager, and container image signing.
On-call & incident management — Design and implement incident response processes, escalation paths, post-mortem frameworks, and on-call rotation practices aligned with SRE principles.

Tools our DevOps engineers work with daily

Deep expertise across the DevOps toolchain — we choose tools that fit your team and your stack.

Jenkins
GitHub Actions
Azure DevOps
GitLab CI
Terraform
Ansible
Helm
Docker
Kubernetes (EKS/AKS/GKE)
ArgoCD
Flux
Prometheus
Grafana
ELK Stack
Jaeger
HashiCorp Vault
SonarQube
Trivy

How we transform your delivery capability

A pragmatic, phased approach that delivers early wins while building toward a mature platform engineering practice.

01

DevOps Maturity Assessment

We evaluate your current delivery pipelines, infrastructure management, testing practices, and incident response to establish a maturity baseline and identify the highest-impact improvements.

02

Platform Architecture Design

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.

03

Pipeline & Infrastructure Build

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.

04

Observability & SRE Setup

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.

05

Security Hardening

Security scanning is integrated into pipelines, secrets management is centralized, container images are scanned and signed, and Kubernetes RBAC and network policies are hardened.

06

Enablement & Handover

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.

What modern DevOps practices deliver

Multiple/day
Deployment Frequency
Move from weekly releases to multiple deployments daily with confidence and zero-downtime strategies
Zero-downtime
Production Deployments
Blue-green and canary deployment strategies eliminate downtime windows and reduce rollout risk
90%+
Less Manual Work
Infrastructure as Code and automation eliminate repetitive manual toil, freeing engineers for higher-value work
Full
Observability
Metrics, logs, and traces across every environment — from cluster health to individual service latency

Often paired with DevOps & Platform Engineering

Cloud Computing

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 Computing

Big Data Engineering

Apply 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 Data

Managed Support

Extend your DevOps investment with ongoing managed support — 24/7 platform monitoring, incident response, and continuous improvement of your DevOps toolchain post-implementation.

Explore Managed Support
DevOps & Platform Engineering

Ready to ship faster and sleep better?

Tell 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.