Scaling Containerized Workloads Without Blindly Adding Capacity
Investigating CPU, memory, application concurrency, load balancing, and scaling signals before increasing capacity.
Explore engineering approachEngineering work
Real infrastructure problems.
Practical engineering decisions.
See how we approach cloud architecture, DevOps, reliability, cost optimization, delivery, and production infrastructure through practical engineering scenarios.
Explore engineering scenariosEngineering scenarios
Representative infrastructure situations and the engineering questions we investigate before making changes.
Reducing AWS Infrastructure Cost Without Compromising Reliability
Reviewing compute, storage, network, and workload behaviour to identify spend that can be reduced without introducing operational risk.
Explore engineering approachBuilding a Safer CI/CD Delivery Path for Production Applications
Reviewing the path from source change to production health, including build validation, artifact handling, deployment checks, and rollback.
Explore engineering approachDesigning Observable Infrastructure for Faster Incident Investigation
Organizing service metrics, logs, alerts, release context, and response paths so production issues can be investigated faster.
Explore engineering approachDesigning Kubernetes for Production Without Unnecessary Complexity
Reviewing workload boundaries, ingress, requests and limits, autoscaling, upgrades, security controls, and the operating model behind a production cluster.
Explore engineering approachMigrating Production Workloads to AWS With Controlled Risk
Planning application dependencies, data movement, networking, DNS cutover, validation, and rollback before production traffic moves.
Explore engineering approachReplacing Manual Cloud Changes With Repeatable Infrastructure as Code
Replacing manual cloud changes with Terraform modules, protected state, environment boundaries, plan review, and drift control.
Explore engineering approachHardening AWS Infrastructure Without Slowing Engineering Teams
Reviewing IAM, network boundaries, encryption, secrets, CloudTrail, GuardDuty, patching, and production access paths.
Explore engineering approachRemoving Single Points of Failure From Production Infrastructure
Mapping failure domains across traffic, application, data, and recovery paths before introducing redundancy controls.
Explore engineering approachBuilding a Disaster Recovery Plan That Can Actually Be Tested
Defining RPO, RTO, backup integrity, restore testing, dependency recovery, infrastructure recreation, and operational runbooks.
Explore engineering approachChoosing the Right Runtime for Production Container Workloads
Comparing ECS, Fargate, ECS on EC2, and EKS against workload characteristics, scaling, networking, cost, and operating ownership.
Explore engineering approachFinding Infrastructure Bottlenecks Before Adding More Compute
Tracing request timing, application concurrency, database behaviour, caching, queues, and resource saturation before increasing compute.
Explore engineering approachDesigning Database Infrastructure for Growth, Recovery, and Reliability
Reviewing database workload, replicas, backups, connection management, storage, failover, monitoring, and recovery behaviour.
Explore engineering approachAdding Security Controls to CI/CD Without Breaking Delivery Speed
Adding dependency and image checks, secrets management, scoped IAM, approval controls, and auditability to delivery workflows.
Explore engineering approachBuilding Cloud Cost Visibility Before the AWS Bill Becomes a Problem
Establishing tagging, allocation, budgets, anomaly response, rightsizing, storage lifecycle, and recurring cost review ownership.
Explore engineering approachFacing a similar infrastructure problem?
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