Services / What I can do for you

Engineering support for systems that have to work.

The engagement starts with the constraint: reliability, DevOps delivery, developer experience, architecture, performance or infrastructure costs that need to serve the business better.

01

Site Reliability Engineer (SRE) at scale

Make system behavior visible, understandable and deliberate under real production load.

Problems

  • Availability and failure modes
  • Capacity and traffic growth
  • Latency and throughput
  • Operational visibility

Capabilities

  • Reliability architecture
  • Performance investigation
  • Observability with Prometheus and Grafana
  • Production readiness
02

DevOps for platform engineering

Connect development and operations through automation, shared ownership and foundations that make delivery dependable.

Problems

  • Slow or fragile delivery
  • Inconsistent environments
  • Infrastructure ownership gaps
  • Manual operational work

Capabilities

  • Internal platform design
  • CI/CD and GitOps with GitLab
  • Kubernetes foundations
  • Release automation and operational handover
03

Cloud and Infrastructure

Choose and shape infrastructure around workload, team and sovereignty constraints.

Problems

  • Cloud topology
  • Private/public boundaries
  • Distributed data systems
  • Infrastructure lifecycle

Capabilities

  • AWS and GCP architecture
  • Private and on-premises systems
  • Infrastructure as code with Terraform and OpenTofu
  • Distributed-system design
04

Architecture and Audit

Create a focused, evidence-led view of a system before deciding what to change.

Problems

  • Reliability risk
  • Performance bottlenecks
  • Cost pressure
  • Security and delivery posture

Capabilities

  • Kubernetes and cloud architecture review
  • Reliability assessment
  • Performance and scalability review
  • Prioritized technical recommendations
05

DevX

Reduce the friction between an idea and production so developers can focus on useful work.

Problems

  • Slow onboarding and environment setup
  • Fragmented tools and workflows
  • Long build and test feedback loops
  • Repeated requests to platform teams

Capabilities

  • Developer workflow assessment
  • Self-service tooling and paved paths
  • Reproducible environments and automation with Ansible
  • Build, test and documentation improvements
06

FinOps and Business

Connect infrastructure spending and engineering effort to business priorities while keeping reliability requirements explicit.

Problems

  • Unclear cloud spending and ownership
  • Idle or oversized resources
  • Cost growth disconnected from usage
  • Operational work with little business value

Capabilities

  • AWS and GCP cost visibility and allocation
  • Workload sizing and resource optimization
  • Budgets, forecasts and unit-cost analysis
  • Efficiency roadmap with business trade-offs

Working method

Understand first. Change what matters.

01

Frame

Establish the system boundary, constraints and decision that needs to be made.

02

Observe

Use architecture, code, telemetry and team context to build an evidence-based picture.

03

Shape

Turn findings into a design and a sequence of changes with explicit trade-offs.

04

Enable

Implement, pair or hand over with the documentation and operational context the team needs.

Experience across the whole infrastructure stack.

The approach is informed by work spanning datacenter operations, private cloud, internal platforms, public cloud and production systems during rapid growth.

See the engineering progression

Bring the constraint, not a pre-selected solution.

A short technical conversation is enough to establish whether the problem and the engagement fit.

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