Cloud & DevOps Engineering
Built for 99.9% Uptime at Scale
Multi-cloud infrastructure, load balancing, and SRE that keep products up at scale
We run production infrastructure across AWS, Azure, Google Cloud, and DigitalOcean — and have for a decade. The backends we operate serve millions of monthly messages and API calls behind load balancers and auto-scaling groups: exam-day traffic spikes for TestReach (ACCA, British Council) on its Azure + AWS hybrid infrastructure, and a zero-to-100K-user launch for Genius AI in three weeks.
Our philosophy is boring, reliable infrastructure: everything as code, observability from day one, capacity planned before launch, and cost reviewed monthly. You get architecture decided by engineers who carry the pager — not slideware.
What You Ship With NerdDevs
- Multi-cloud architecture and zero-downtime migrations (AWS, Azure, GCP, DigitalOcean)
- Load-balanced, auto-scaling backends that absorb traffic spikes without waking anyone up
- Kubernetes or right-sized container deployments with infrastructure as code
- CI/CD pipelines with preview environments, blue/green deploys, and one-click rollbacks
- Monitoring, alerting, on-call runbooks, and monthly cloud cost optimization
What We Build
Six focus areas where we bring deep, shipped-in-production experience.
Cloud Architecture & Migration
Green-field architecture or phased migrations between providers and off on-prem — planned for zero downtime and no surprise bills.
Load Balancing & Auto-Scaling
ALB/NLB, Nginx, and HAProxy setups with health checks, auto-scaling groups, and capacity planning tested against real traffic patterns.
Kubernetes & Containers
EKS, AKS, GKE, or plain Docker on DigitalOcean when Kubernetes is overkill — we size the platform to the product, not the hype.
Infrastructure as Code
Terraform and CloudFormation so every environment is reproducible, reviewable, and one command away from disaster recovery.
CI/CD Pipelines
GitHub Actions or Bitbucket Pipelines: build, test, scan, deploy — with preview environments and rollbacks your team can trust at 2 AM.
SRE, Monitoring & Cost Control
Structured logs, metrics, tracing, alerting, on-call runbooks, and a monthly cost review that routinely cuts 20–40% of cloud spend.
Our Stack
- AWS
- Microsoft Azure
- Google Cloud
- DigitalOcean
- Kubernetes
- Docker
- Terraform
- Nginx / HAProxy
- GitHub Actions
- Redis
- CloudFront / Cloudflare
- Datadog / Grafana
Who This Is For
- Products expecting (or already hit by) traffic spikes their current setup cannot absorb
- Teams migrating between cloud providers or off a single point of failure
- Startups whose cloud bill is growing faster than their revenue
- Companies without in-house DevOps who need production kept up 24/7
Frequently Asked Questions
Which cloud provider should we use — AWS, Azure, GCP, or DigitalOcean?
We are provider-neutral and run production on all four. AWS for breadth and enterprise ecosystems, Azure when you live in the Microsoft stack, GCP for data-heavy workloads, DigitalOcean when a lean product needs predictable pricing. We recommend based on your workload, team, and budget — and we have migrated clients in every direction.
How do you handle sudden traffic spikes and load balancing?
Layered: a load balancer (ALB/NLB, Nginx, or HAProxy) with health checks in front, auto-scaling groups behind it, Redis caching and queues to flatten bursts, and load tests before launch so limits are known in advance. This is how TestReach survives exam-day surges and how Genius AI absorbed 100K+ users in its first three weeks.
Can you reduce our cloud bill?
Usually by 20–40%. The routine offenders: over-provisioned instances, missing reserved/spot coverage, orphaned volumes and snapshots, chatty cross-AZ traffic, and logs stored at premium tiers. We audit first, show the savings per line item, then implement — no savings, no fee conversations are welcome.
Can you take over infrastructure another team built?
Yes, it is common. We start with a two-week audit — architecture, security groups, IAM, backups, single points of failure — then deliver a written risk register and stabilisation plan before changing anything in production.
Do you offer 24/7 monitoring and on-call support?
Yes, as a monthly SRE retainer: uptime monitoring, alert response, incident management, patching, backup verification, and a monthly reliability and cost review with your team.
Ready to talk about your cloud & devops engineering project?
Send a short brief. We reply within one business day with next steps, a timeline, and the right engineer for the job.