Technology
Cloud & Platform Engineering
Cloud, infrastructure, delivery pipelines and reliability as one practice.
The context
Cloud architecture, infrastructure, DevOps and site reliability are not separate disciplines in practice — they are one platform capability, owned end to end. We design the cloud foundation, express it as code, build the pipelines that ship to it, and run it against reliability objectives your business actually cares about. AI is applied to the operational noise problem: correlating alerts, summarising incidents and flagging cost anomalies.
Where this usually starts
- A lift-and-shift migration delivered higher bills without the expected agility.
- Environments were built by hand and cannot be reproduced reliably.
- Releases are infrequent, manual and treated as risky events.
- Alert volume is high enough that real signals are missed, and nobody can attribute cloud cost to a team or product.
Capabilities
What we deliver
The specific capabilities we bring to this work, scoped to what your organisation actually needs.
Cloud architecture & landing zones
Account structure, networking, identity and guardrails designed across AWS, Azure and Google Cloud before workloads arrive.
Migration & modernisation
Wave planning, dependency mapping and rollback paths; containers, managed services and serverless applied where they reduce cost or operational load.
Infrastructure as Code
Terraform-based environments that are reproducible, reviewable and version controlled rather than built by hand.
CI/CD & delivery automation
Pipelines with automated testing, security scanning and progressive delivery built in, so releases become routine.
Platform engineering
Internal developer platforms and golden paths that make the well-governed route the fastest one for product teams.
Site reliability engineering
SLOs, error budgets, capacity planning, incident response and production readiness review.
Observability & AIOps
Metrics, logs and traces structured to answer questions during an incident, with alert correlation and automated incident summaries.
FinOps & cost management
Cost visibility, tagging discipline, rightsizing, commitment planning and anomaly detection tied to real usage.
Outcomes
What changes
- Environments that can be rebuilt from code rather than from memory.
- Smaller, more frequent releases with a lower change failure rate.
- Faster detection and recovery, backed by data rather than anecdote.
- Cloud cost attributable to the teams and products that drive it.
Outcomes depend on scope, data readiness and the operating context of each engagement. We agree measurable success criteria with you before delivery begins.
Technologies
Platforms and technologies we work with
Listed as technologies EXSTRONIX works with. They are not statements of formal partnership or certification.
FAQ
Common questions
Because splitting them creates handoffs that cause the problems clients actually report — infrastructure built by one team, pipelines by another, and reliability owned by nobody. One team owning the platform from architecture through delivery to production is what makes the reliability and cost outcomes achievable.
Ready to transform what’s next?
Tell us about the business challenge you are working on. We will bring the right mix of AI, engineering, finance and operations expertise to the conversation.