AAspiron

Services

Infrastructure work that outlives the engagement.

DevOps and platform engineering, cloud architecture and FinOps, applied AI, reliability, security and data platforms — delivered as code and handed over to your team.

01

DevOps & Platform Engineering

CI/CD that developers trust, infrastructure as code, and a golden path from commit to production.

  • GitHub Actions / GitLab CI pipelines with test, scan and rollback gates
  • Terraform and Pulumi modules with reviewed, repeatable environments
  • Kubernetes, ECS or serverless — sized to the team you actually have
  • Internal developer platforms and self-service environments
02

Cloud Architecture & FinOps

AWS, GCP and Azure builds and migrations, with cost and resilience designed in rather than bolted on.

  • Landing zones, multi-account structure, network and IAM baselines
  • Lift-and-reshape migrations with measurable cutover plans
  • Cost reviews: rightsizing, commitments, storage tiering, waste removal
  • Disaster recovery, backup policy and tested restore drills
03

Applied AI Engineering

LLM features that survive real traffic: retrieval, evaluation, guardrails and cost control.

  • RAG systems over your own documents and databases
  • Agents and workflow automation wired into existing tools
  • Evaluation harnesses, prompt versioning and regression tracking
  • Model routing and caching to keep inference spend predictable
04

Reliability & Observability

Know before your customers do. SLOs, tracing, alerting that means something, and incident practice.

  • OpenTelemetry instrumentation across services
  • Grafana / Datadog dashboards tied to SLOs, not vanity metrics
  • On-call rotations, runbooks and blameless postmortems
  • Load and chaos testing before the launch, not after
05

Security & Compliance

Least-privilege by default, secrets under control, and evidence ready when the auditor asks.

  • IAM and secret management hardening
  • Supply-chain scanning, SBOMs and signed builds
  • SOC 2 / ISO 27001 technical control readiness
  • Threat modelling for new services and AI surfaces
06

Data Platforms

Pipelines and warehouses that AI and analytics can actually rely on.

  • Ingestion and ELT with dbt, Airflow or Dagster
  • Warehouse modelling on BigQuery, Snowflake or Postgres
  • Vector stores and embedding pipelines for retrieval
  • Data quality tests and lineage
07

Engineering Staffing

Vetted DevOps, cloud and AI engineers embedded into your team — for a sprint, a quarter, or the long haul.

  • Senior platform, SRE and AI engineers vetted on real production work
  • Embedded into your workflows, stand-ups and on-call from day one
  • Contract, contract-to-hire and permanent placement options
  • Backed by our bench — we can scale a pod up or down in weeks, not months

Not sure which one you need?

Most engagements start with an assessment. We look first, then tell you what is actually worth paying for.

Book a review