A slow release is usually a security decision, and an unexplained cloud bill is usually an architecture decision. ORSLON covers all six disciplines within a single engagement, with one expert accountable across them — so nothing falls between suppliers and no one has to arbitrate.
Each practice arrives with our templates, runbooks and defaults already in place, so week one is a running pipeline rather than a discovery workshop. Disagree with our choices later — that argument is far cheaper once something works.
End-to-end pipeline design with security at every stage — GitOps, Kubernetes, and supply-chain scanning. Zero manual deploy steps.
Explore24/7 human SOC, zero-trust architecture, SIEM and pen testing — with automated evidence for SOC 2, ISO 27001, GDPR, PCI-DSS and HIPAA.
ExploreAlways-on operations centre: proactive monitoring, SLA-backed incident response, full-stack metrics, logs and traces, plus FinOps.
ExploreWave-based migrations rehearsed and executed with zero-data-loss discipline. AWS, Azure, GCP, hybrid or multi-cloud.
ExploreCustom AI agents grounded in your data — incident copilots, workflow automation, customer assistants — operated like production infrastructure.
ExploreWeb apps, mobile apps, APIs and internal tools — shipped production-ready with AI chatbots, RAG bots and LLM copilots wired in.
ExploreWe design, build and operate the full delivery path — source control through to production — with security controls built into each stage rather than bolted on at review. GitOps workflows, containerised builds and Kubernetes orchestration, with no manual step between a merged commit and a running service.
A security operation staffed by engineers rather than an alert forwarder, run alongside continuous compliance. Detection tuned to your environment, zero-trust access design, and audit evidence produced by the same pipelines that ship your software — so certification becomes a report rather than a project.
A single always-on operations function covering monitoring, incident response and full-stack observability. Metrics, logs and traces in one place; golden-signal dashboards and error budgets that make degradation visible before customers notice; and cost attribution so every service has an owner and a number.
Migrations planned in waves and rehearsed before the first workload moves. Whether lifting legacy estates or re-architecting for cloud-native, each wave carries a tested rollback and a defined success measure, and cutovers run in business hours against production-shaped data.
Production AI, governed like production infrastructure. We design, build and operate agents grounded in your own systems — incident copilots, workflow automation, customer-facing assistants — with scored evaluations, cost ceilings, audit trails and human review on the decisions that warrant it.
Product engineering that ends in production, not a handover. Web platforms, mobile apps, APIs and internal tools, delivered on your infrastructure with pipelines, monitoring and support already in place — and AI assistants integrated where they earn their cost.
The right shape depends on how settled the destination is and who should carry the risk. We have delivered all three and will recommend the one that fits your situation — including when that is the cheaper option for you and the worse one for us.
A scoped migration, audit or platform build with a firm price and firm dates. Best when the destination is clear and you want the risk on us.
A named expert embedded in your team at an agreed weekly rate. Best when priorities move faster than a statement of work can.
We run the whole platform — pipelines, security, monitoring, on-call — against contractual SLAs. Month-to-month, cancel any time.
One hour, one expert, no charge. We map what you have, name the three things most likely to break, and tell you which to fix first — even if the answer is that you do not need us.
