Armakuni Managed Services is four engineering practices on one retainer: Automation, Observability, Cost, Quality. Your AWS bill goes down. Your DORA metrics go up. Your team learns the practices by working alongside ours.
Trusted by teams shipping on AWS
A standard retainer optimises inside the practices that produced the drift. We replace the practices. Automation cuts toil, observability cuts MTTR, FinOps reverses bill drift, quality keeps deploys safe. One retainer, DORA-tracked from week one.
Median lead-time-for-changes reduction across recent Managed Services engagements. DORA-tracked, sprint-by-sprint.
Median time-to-recovery reduction. Observability instrumentation lands in week one. By week eight, MTTR has dropped.
Median first-quarter AWS bill reduction. FinOps instrumentation, right-sizing, savings-plan tuning. Per-team attribution surfaced to the CFO.
Four AK Way practices on one retainer. Automation cuts toil. Observability lets your team find the cause without paging us. FinOps reverses bill drift. Quality keeps deploys safe.
The practices are infrastructure you keep. Runbooks, dashboards, IaC, on-call rotation, post-mortem templates. Deployed into your AWS account under your IAM, your governance, your audit trail. When the retainer ends, your team has the playbook.
AK Way Managed is a retainer where the product is the engineering practice, not the headcount. Four practices, one retainer, sprint-by-sprint DORA tracking.
Toil is the work that fills the queue. Automation removes it. Runbooks become Step Functions. Tickets become triggers. Every recurring intervention gets automated by week four.
Your team can't fix what they can't see. Observability instruments every service in week one. CloudWatch, X-Ray, custom dashboards per team. MTTR drops because the investigation step disappears.
AWS bills drift up unless someone is watching. Armakuni FinOps lands per-team attribution, right-sizing recommendations, savings plan tuning, anomaly alerts. The CFO gets a monthly view of who spent what.
Every deploy carries a regression risk. Quality practice lands change-failure tracking, canary patterns, automated rollback, post-mortem culture. Quality goes up. Deploy frequency goes up. Both at the same time.
The retainer wires AWS primitives you are already paying for into one operational surface. No new runtime. No new vendor. The practices are the product.
Step Functions encoding the runbooks. Lambda for the actions. Every recurring intervention automated.
Observability across every service. Custom dashboards per team. MTTR drops because investigation disappears.
Per-team cost attribution. Right-sizing recommendations. Savings plan tuning. Monthly CFO report.
Canary deployments by default. Automated rollback on observability signal. Change-failure tracked sprint-by-sprint.
Continuous compliance evidence. Drift detection. Per-control AWS Config rules. Audit Manager-ready.
AI-assisted incident triage and runbook generation. The retainer team uses it. Your team learns to use it.
Here's what it built.
Armakuni was a game-changer for Comic Relief; they built us a new donation platform, on time and on budget while also helping us break the GBP 100 million mark for the first time.
HSBC adopted cloud-native delivery through the AK Way. Automated pipelines, continuous testing, and engineering discipline applied at global-bank scale.
JPMorgan Chase is one of five of the world's largest financial institutions Armakuni has delivered AWS engineering work for. Proof the AK Way holds at systemically important scale.
Red Bull is part of Armakuni's media and entertainment portfolio. Proof the AK Way extends beyond financial services into global consumer brands.
Ryno's internal team had already tried and failed to reach production quality on AI call analysis. Armakuni's PoC was production-ready in under two weeks of a four-week window.
Santander transformed its engineering teams through "The Engineering Way." Everything as code, automated testing, and a high-velocity cloud-native delivery force built on the AK Way.
45% increase in on-time vehicle deliveries, replacing a reactive model where delays were only discovered after they'd already cost the customer.
Median outcomes across recent Managed Services engagements where teams ran the four AK Way practices on the Armakuni retainer.
Four practices, one retainer team, embedded in your AWS account. Automation, Observability, Cost, Quality. DORA metrics tracked sprint-by-sprint and reported to the CFO. Full AK Way playbook transferred to your team over twelve weeks.
Output: a working operational practice in your AWS account, with your engineers operating it.
Pick one practice. Land it on a fixed-scope engagement. FinOps for the bill that's drifting. Observability for the MTTR that won't come down. Quality for the regression rate. Each practice runs as a six-to-twelve week scoped sprint.
Output: one practice live in your AWS account, plus the path to add the other three.
Half-day workshop on your real AWS bill. Per-team attribution, right-sizing analysis, savings plan recommendations. Walk away with a sized opportunity for first-quarter cost reduction.
Half-day workshop instrumenting one of your services with the AK Way observability stack. CloudWatch, X-Ray, custom dashboards.
Thirty-year COBOL cores, monthly regulator cycles, and an AI roadmap the CTO already signed. The orchestration layer keeps every AI action audit-ready for the PRA, FCA, and SEC.
PHI cannot leave the account. Guardrails and SCPs keep every Bedrock call inside HIPAA boundaries. Armakuni pods have shipped against claims, scheduling, and EHR-adjacent systems without a single cross-account spill.
Peak-season refactors where a bad deploy costs a weekend of revenue. Canary gates inside Step Functions hold agents to the same release calendar your SREs already run.
Systems where a bad change takes a production line offline. Inspector and Config drift checks run before any Armakuni-deployed agent touches a service that talks to the shop floor.
Billing stacks that cannot go dark. We target the adjacencies first, leave the core for last, and keep the whole carrier graph visible in CloudWatch the entire time.
A U.S. multi-tenant SaaS platform for the AV/IT field services industry runs an AV/IT field service platform with container reliability and observability owned by a pod that knows the stack.
Read use case →DigitalStrike keeps a multi-tenant SaaS at OEM scale running with tenant isolation, cost optimisation, and event-driven monitoring as standing practice.
Read use case →CarSaver runs container orchestration and auto-scaling sized for promotional peak load, with compliance audits running on the same cadence.
Read use case →A regulated Medicare insurance enrollment and engagement company relies on Armakuni to stabilise and operate a PHI-regulated Amazon Connect environment, with outbound orchestration inside their audit boundary.
Read use case →GORUCK keeps a customer data platform running across eCommerce, events and loyalty, with the warehouse and ETL pipelines maintained as standing practice.
Read use case →A U.S. healthcare technology company delivering clinical data analytics and data-driven insights for providers and hospitals runs multi-account ECS and analytics on AWS with Armakuni handling the ongoing operational cadence after the migration shipped.
Read use case →
Award-winning LMS provider for enterprises and mid-size organizations, the identity platform, One of the largest cinema networks in the U.S., SMS campaign automation platform for e-commerce and restaurant brands. Specific numbers. Named stakeholders.
All case studies →BFSI, healthcare, retail, manufacturing, telco. Constraints by industry. Response by orchestration.
All industries →
Engineering essays, AK Way deep-dives, AWS Premier Partner specializations.
Read insights →Active AWS competencies and service-delivery designations behind managed retainers.
Two-hour ops review where an Armakuni engineer audits your AWS bill, observability posture, and DORA metrics. We propose a single-practice engagement (FinOps, Observability, Automation, or Quality) sized to your shape.
Your first conversation is with the solution architect who would run the engagement.