Service

Managed Services

We run CloudOps, DataOps, MLOps, and security operations as a managed service, with SLAs, observability, and continuous improvement.

Talk to us about running your platform See what we run

Operational Excellence for Data, Cloud & AI Systems

We Manage the Platforms That Enable Your Business

Sakura Sky’s Managed Services keep the cloud, data, and AI platforms your business depends on running at production quality.

We combine automation, observability, and proactive governance to deliver stable, scalable, and secure operations across complex ecosystems. Our DataOps, MLOps, and CloudOps practices provide continuous optimisation, streamlined collaboration, and resilient infrastructure that evolves with your business needs.

Many engagements start where a Professional Services delivery ends, with the same engineers operating what they built. We also take over platforms designed elsewhere and run them alongside the open source and commercial tools your operations depend on, from Apache Iceberg and ClickHouse to the wider data and platform ecosystem.

What we run

Six operational services across the platform and the workloads on top of it, with AI last because it depends on the rest.

The platform

CloudOps & Cost Optimisation

We operate cloud environments across AWS, Google Cloud, and Azure with discipline: continuous cost optimisation, scaling and capacity planning, security and compliance baseline maintenance, and the observability that surfaces issues before they become incidents. Through automation and policy-as-code, your infrastructure remains secure, resilient, and aligned with evolving business needs.

Built by Cloud

The platform

Platform Engineering & DevOps Enablement

We operate the internal developer platforms, golden paths, and CI/CD environments that let your engineering organisation ship reliably. Container orchestration, GitOps workflows, secrets management, and the standardised tooling that removes ambient toil. The aim is a platform your developers actually want to use, not one they work around.

Built by Cloud

The platform

Observability & SRE

We deliver full-stack observability through Prometheus, Grafana, and OpenTelemetry, integrating metrics, logs, and traces across every layer. This enables real-time insight, proactive alerting, and faster remediation. Where the workload warrants it, we run an embedded SRE practice with explicit SLOs, error budgets, and the on-call discipline production-grade systems require.

Built by Cloud

Data, security, and AI

DataOps & Pipeline Orchestration

We automate and optimise the flow of data across your enterprise, embedding data quality, observability, and governance from the start. Our DataOps practice unifies data engineers, analysts, and platform teams through automated workflows that accelerate delivery, ensure consistency, and maintain data integrity. We operate orchestration platforms including Apache Airflow, NiFi, and Dagster, with the runbook discipline distributed systems actually need.

Built by Data & AI

Data, security, and AI

Security-Driven Operations & Compliance

We integrate encryption, access control, anomaly detection, and continuous compliance monitoring directly into your operations. Aligned to ISO 27001, SOC 2, and GDPR baselines, with audit-ready evidence accumulated as a side effect of operating the platform rather than reconstructed annually. Connects directly to our Managed GRC Services for organisations facing material regulatory exposure.

Built by Security Managed GRC Services

Data, security, and AI

MLOps & AI Agent Operations

We manage the full machine learning lifecycle, from data preparation and model deployment to monitoring, drift detection, and retraining. For agentic systems, we extend the practice into prompt lifecycle management, tool inventory governance, runtime observability of agent decisions, and the safety controls that production-grade agents require. The work connects directly to our Sentinel framework.

Built by Data & AI Sentinel

Three Operating Models

Managed Services scale to the level of ownership your team wants to hand over. We run from light-touch oversight to fully embedded operations, with clear transitions between tiers as your needs change.

Advisory Oversight

Co-Managed

Your team owns day-to-day operations. We provide ongoing engineering oversight, periodic deep-dive reviews, and escalation paths for the work that benefits from senior input. Useful for organisations with capable internal teams who need outside expertise on specific workloads or systems.

Shared Operations

Hybrid Managed

We share operational ownership with your team. Defined workloads, platforms, or practices (CloudOps, DataOps, MLOps) are run by Sakura Sky engineers integrated with yours. SLAs, runbooks, and shared on-call. Common for organisations migrating away from full in-house ops without fully outsourcing.

End-to-End Ownership

Fully Managed

We run the platform end-to-end. Your team focuses on the business outcomes the platform supports; we own the operations, security baseline, compliance attestation, and continuous improvement. Backed by SLAs, fixed-fee or consumption-based pricing, and quarterly business reviews.