B2B marketplace
- Challenge
- 45-minute pipelines blocked daily releases.
- Simplileap solution
- Turborepo cache, Docker layer reuse, parallel e2e shards.
- Outcome
- Builds median 11 minutes; daily deploys achieved.
// Scale
GitHub Actions pipelines, Kubernetes containerisation, IaC with Terraform, preview environments, and GitOps-based production deployment. We build the engineering infrastructure that lets your team ship confidently at high frequency.
// Services
CI/CD Pipeline Setup
GitHub Actions, GitLab CI, and CircleCI pipelines.
Infrastructure as Code
Terraform and Pulumi IaC for reproducible environments.
Containerisation (Docker + Kubernetes)
Container strategy and Kubernetes orchestration.
Automated Testing & Deployment
Test automation integrated into every PR and deployment.
Release & Environment Management
Preview environments, feature flags, and release strategies.
// Standards
The goal is to make deployments boring, small, frequent, automated, and reversible. We target same-day deployment of merged PRs for most teams we work with.
Container image scanning (Trivy), dependency vulnerability scanning (Snyk), SAST for secrets in code (detect-secrets/truffleHog), security checks before every merge.
CI pipelines that complete in under 10 minutes for most codebases through parallel test execution, dependency caching, and test suite optimisation.
Deployment state defined in Git with ArgoCD or Flux for Kubernetes deployments. No manual kubectl applies in production, every change is reviewed, versioned, and auditable.
Deployment frequency, lead time, change failure rate, and MTTR measured and tracked. Research shows these four metrics predict both delivery performance and organisational outcomes.
Production, staging, and preview environments provisioned from the same IaC templates. No environment-specific code paths that cause staging to pass but production to fail.
// Technology
CI/CD Platforms
Containers
Orchestration
IaC
Testing in CI
GitOps / Release
// Process
Assess current deployment process, manual steps, deployment frequency, lead time, change failure rate, and mean time to restore. Identify the highest-leverage improvements.
// Stack & frameworks
// Delivery
01
Dependencies, API contracts, compliance constraints, and performance budgets documented before sprint one.
02
Two-week increments with GitHub access, demo recordings, and QA checkpoints, client visibility at every stage.
03
Automated tests on critical paths, security review, runbooks, and knowledge transfer to your team.
// Proof
B2B marketplace
Logistics SaaS (35 engineers)
Regulated fintech API
// Engagement models
| Package | Ideal for | Investment | Includes |
|---|---|---|---|
| Managed services AMC | Post-launch platforms | ₹25K – ₹1.5L / month |
|
| DevOps transformation | Engineering teams | Project + retainer |
|
| SLO-backed operations | Revenue-critical apps | Scoped within AMC range |
|
// Company and service positioning
Company and Service positioning is reviewed for production delivery standards by Harsha Parthasarathy (Co-Founder, Strategy & Operations 24+ years IT veteran, IBM, Global Delivery, Program Management) and Keshav Sharma (Co-Founder, Engineering and Lead Architect, Full-stack engineering, product delivery and technical standards).
CIN
AAU-8582
Startup India
DIPP83124
Founded
November 2020
Office
Residency Rd, Bengaluru, India
// FAQ
A basic GitHub Actions pipeline with test, build, and deploy stages takes 2–3 days. Adding preview environments, container scanning, and GitOps-based production deployment typically takes 2 weeks. Most teams see deployment frequency increase 3–5x within the first month.
Kubernetes is the right choice when you have multiple services, need horizontal scaling, or have complex networking requirements. For simpler applications, managed platforms (Vercel, Render, Railway) or AWS ECS provide most of the benefits without the operational overhead.
DORA (DevOps Research and Assessment) metrics are four measures shown by research to predict both software delivery performance and organisational performance: deployment frequency, lead time for changes, change failure rate, and mean time to restore. Elite teams deploy multiple times per day with < 1-hour lead times.
Database migrations run as a separate pipeline step before application deployment, with backward-compatible changes verified. We use expand-contract patterns for zero-downtime schema changes on production databases.
Preview environments are temporary deployments created per pull request, a full running instance of your application with the PR changes. They dramatically speed up code review because reviewers can test changes without checking out code. Most teams find they are worth the cost for frontend and API changes.