Product
One Platform. Every Layer Your Team Needs to Scale.
From the first API call to millions of concurrent sessions, Greenwood Whitaker handles the infrastructure so your engineers focus on product.
What the Platform Actually Delivers
Greenwood Whitaker is a managed cloud platform composed of three cooperating systems: an intelligent API gateway, a distributed compute layer, and a unified observability suite. The API gateway handles authentication, rate limiting, caching, and protocol translation so your backend services never receive a malformed or unauthorised request. The compute layer runs your containerised workloads on a regional fleet of nodes, scaling horizontally based on queue depth and CPU saturation signals. The observability suite aggregates logs, traces, and metrics into a single forest-cream-themed dashboard — deep greens and warm neutrals chosen deliberately so engineers can scan status at a glance without the visual noise of red-heavy alert interfaces. Together these three systems replace the work of a dedicated platform engineering team of four to six people.
Platform Capabilities in Detail
A closer look at the six core capabilities that engineering teams use every day.
API Gateway with Smart Routing
Route requests by geography, latency, or custom header rules. The gateway supports REST, GraphQL, and gRPC with automatic schema validation. Rate limiting is configurable per endpoint and per consumer, with soft limits that return a 429 before hard drops occur — preserving client relationships during traffic surges.
Containerised Compute Fleet
Deploy Docker images or OCI-compliant containers directly from your CI pipeline via a single CLI command. The scheduler places workloads on the least-loaded node in your preferred region and rebalances automatically on node failure. Zero-downtime rolling deploys are the default behaviour.
Unified Observability Suite
All logs, distributed traces, and infrastructure metrics flow into one place. You can set threshold alerts on any metric, create composite dashboards, and export raw data to your existing data warehouse via our Firehose connector. Retention is 30 days on Starter, 90 days on Growth, and 365 days on Enterprise.
Preview Environments on Every Branch
Every pull request automatically spawns a live preview environment with its own subdomain and a cloned subset of your staging database. QA teams and product managers can review changes without waiting for a staging deploy queue. Environments are destroyed 48 hours after the branch is merged or closed.
Managed Data Layer
Provision PostgreSQL or Redis instances in two clicks. Automated backups run every six hours, point-in-time recovery is available for 30 days on all paid tiers, and read replicas can be added with no application-side changes required thanks to our transparent connection-pooling proxy.
Security and Access Controls
Fine-grained RBAC lets you grant engineers access to specific services, environments, or even individual log streams. All inter-service traffic is mutually authenticated via mTLS. PDPA-compliant data residency options allow you to pin sensitive workloads to Thailand-only nodes with a single configuration flag.
“The preview environment feature alone saved us approximately two hours of engineering time per sprint cycle. Before Greenwood Whitaker, our QA process blocked releases for days waiting on a shared staging server. Now every branch has its own live URL within ninety seconds of a pull request opening. We shipped four major features in the first month after onboarding.”
Suttipong Arree, Lead Engineer at Khaolak Logistics, Phang Nga
Integration With the Tools Your Team Already Uses
Greenwood Whitaker connects natively with GitHub, GitLab, and Bitbucket for CI/CD triggers. Monitoring alerts route to Slack, PagerDuty, or any webhook endpoint. Our Terraform provider allows infrastructure-as-code teams to define every platform resource declaratively. If your team runs on Jira, the deployment tracking integration adds a deployment entry to every ticket automatically — no manual update required. The philosophy behind these integrations mirrors the broader product ethos: the platform should make your existing workflows faster, not replace them with a new suite of proprietary tools that create lock-in. You can leave at any time; we hold your container images and data in open formats.
See the Platform Running Live
Request a 30-minute guided walkthrough with a Greenwood Whitaker engineer — no sales script, just a live system demonstrating the features relevant to your stack.
How Teams Typically Onboard
A typical journey from sign-up to production deployment takes three to five working days.
Day 1: Account and First Deployment
Create your organisation, connect your Git provider, and push your first container image. The onboarding wizard walks you through gateway configuration and network settings. Most teams have a service running in the sandbox environment within two hours of signing up.
Days 2–3: Routing and Observability
Configure routing rules for your existing endpoints, set up your first alert thresholds, and invite your team. Your account engineer schedules a 60-minute architecture review to flag any configuration choices that could become bottlenecks at scale.
Days 4–5: Production Cutover
Run your new and old routing in parallel using our traffic-splitting feature, validate metrics for 24 hours, then cut over completely. The parallel-run period means there is no hard go-live moment — you increase traffic to the new path incrementally until you are confident.