Skills

We design, migrate and operate workloads on AWS, Microsoft Azure, Google Cloud and VMware environments, including hybrid setups that span on-premises and public cloud.

Well-architected foundations: landing zones, network topology, identity and access management, and cost-aware resource design.

Typical engagements include cloud migrations, multi-account and multi-subscription governance, right-sizing and cost optimisation, and architecture reviews of existing estates.

We containerise applications with Docker and run them on Kubernetes — managed services such as EKS, AKS and GKE, as well as self-managed clusters.

Production-grade Kubernetes: cluster provisioning, Helm-based deployments, autoscaling, ingress, and workload security policies.

We also help teams already on Kubernetes with upgrades, cost and resource tuning, and hardening clusters against common misconfigurations.

Every environment we build is defined as code. Terraform provisions the infrastructure; Ansible handles configuration management and repeatable server setup.

Versioned, reviewable, reproducible infrastructure — no snowflake servers, no undocumented manual changes.

We write reusable Terraform modules, bring existing hand-built environments under code, and set up the review and state-management workflows that keep IaC safe at team scale.

We build and maintain delivery pipelines on GitHub Actions, GitLab CI and Jenkins, and implement GitOps-style continuous delivery to Kubernetes with ArgoCD.

From commit to production: automated builds, tests, security scans and deployments with rollback paths you can trust.

Typical work includes pipeline design for new projects, migrating legacy build systems, speeding up slow pipelines, and adding quality and security gates without blocking developers.

We instrument systems with Prometheus and Grafana, and design monitoring on commercial platforms such as Datadog where they fit better.

Metrics, logs, traces and alerts that tell you what is wrong before your customers do.

We define service-level objectives, build dashboards that on-call engineers actually use, and tune alerting to cut noise so that every page is actionable.

Security Monitoring & SIEM/SOC

We set up and operate SIEM tooling and security operations workflows: log collection, detection rules, and triage processes that surface real threats instead of noise.

Vulnerability Management

Continuous scanning of infrastructure, containers and dependencies, with a prioritised remediation process so that critical findings are fixed first — not just reported.

Incident Response

When something does go wrong, we help contain, investigate and recover, then run post-incident reviews and harden the environment so the same issue does not recur.

We run the stateful backbone of production systems: PostgreSQL for relational data, Redis for caching and fast lookups, and RabbitMQ and Kafka for messaging and event streaming.

High availability, backups that restore, and performance tuning grounded in real query and traffic patterns.

Engagements range from replication and failover design to migration between engines, capacity planning, and troubleshooting slow queries and unbalanced consumers.

We automate operational workflows with n8n and integrate large language models into engineering processes where they reduce toil rather than add risk.

Practical AI for operations: alert enrichment, runbook automation, and LLM-assisted triage with humans in the loop.

We start from a concrete operational pain point, automate it end to end, and measure the result — so automation earns its place instead of becoming another system to maintain.