Services / Engineering and operations

Build foundations that make delivery easier.

From a first governed landing zone to a platform your teams rely on every day, ForgeSpan brings the architecture, automation, security, and operating practice together.

Plan an engagement See representative outcomes

Six connected capabilities

Specific work. Useful outcomes.

01 / Service

Cloud Strategy & Landing Zones

Create a secure, governed starting point for workloads without slowing teams down. We translate business and risk constraints into an architecture your organisation can operate.

Typical deliverables

Cloud estate and workload assessment
Account or subscription topology, identity and network patterns
Policy-as-code guardrails, logging, tagging, and cost controls
Reference architecture, decision record, and adoption roadmap

Typical outcomes

Clear ownership boundaries, repeatable environments, audit evidence by design, and a manageable route from pilot to wider adoption.

Technologies and practices

AWS Control Tower and organisations, Azure management groups, Google Cloud folders and projects, cloud-native security controls, Terraform or OpenTofu.

Discuss Cloud Strategy & Landing Zones

02 / Service

Kubernetes & Container Platforms

Build a container platform that supports the way your teams deliver and operate software. We focus on sensible defaults, clear service ownership, and a reliable upgrade path.

Typical deliverables

Cluster architecture, network and identity integration
Workload templates, ingress, secrets, and policy controls
GitOps workflows using tools such as Argo CD
Upgrade, backup, and recovery runbooks with platform measures

Typical outcomes

A supportable cluster estate, safer workload onboarding, more consistent releases, and less undifferentiated operational work.

Technologies and practices

Managed Kubernetes services, Kubernetes, Helm, Argo CD, policy engines, container scanning, and platform-level observability.

Discuss Kubernetes & Container Platforms

03 / Service

Infrastructure as Code

Turn infrastructure changes into reviewable, tested, repeatable software. We establish module boundaries and workflow practices that make change safer over time.

Typical deliverables

Reusable Terraform or OpenTofu modules and environment composition
State, access, and secrets handling patterns
Plan review, test, and promotion workflows
Module guidance, examples, ownership model, and documentation

Typical outcomes

Fewer configuration surprises, faster environment creation, traceable changes, and a shared source of truth for the platform.

Technologies and practices

Terraform, OpenTofu, GitHub Actions, GitLab CI, automated tests, policy-as-code, and cloud-native drift controls.

Discuss Infrastructure as Code

04 / Service

DevSecOps & Delivery Automation

Bring security and quality checks into the everyday delivery path. Guardrails are most useful when teams can understand them and resolve issues early.

Typical deliverables

Pipeline design and reusable workflow components
Secret detection, dependency checks, image scanning, and provenance controls
Policy-as-code checks for infrastructure and workload configuration
Release strategies, rollback paths, and exception workflows

Typical outcomes

Shorter feedback loops, fewer late-stage findings, stronger release evidence, and a delivery system teams can maintain.

Technologies and practices

GitHub Actions, GitLab CI, Argo CD, cloud-native security controls, policy-as-code, and software supply-chain controls.

Discuss DevSecOps & Delivery Automation

05 / Service

Site Reliability Engineering

Build an operating model around user experience and service health. We help teams choose useful service objectives and learn from incidents without blame.

Typical deliverables

Service mapping and critical-journey definition
SLIs, SLOs, error budgets, and alerting design
Incident roles, runbooks, and learning reviews
Observability dashboards and capacity / resilience exercises

Typical outcomes

More actionable alerts, clearer operational priorities, faster diagnosis, and a measured approach to reliability investment.

Technologies and practices

Metrics, logs, traces, OpenTelemetry-compatible patterns, cloud-native monitoring, and established observability tooling.

Discuss Site Reliability Engineering

06 / Service

Cloud Migration & Modernisation

Move workloads in deliberate increments, protecting business continuity while improving the parts of the estate that benefit from change.

Typical deliverables

Application and dependency discovery with migration waves
Landing zone and migration factory patterns
Data, cutover, rollback, and validation plans
Modernisation options for high-value services and legacy constraints

Typical outcomes

Reduced migration uncertainty, better visibility of dependencies, predictable cutovers, and a credible modernisation path.

Technologies and practices

AWS, Azure, Google Cloud, Kubernetes, infrastructure as code, migration tooling, and application observability.

Discuss Cloud Migration & Modernisation

Choose a useful starting point

Which engagement fits?

The work can stand alone or connect into a longer programme. We shape scope around the constraints you actually have.

Focused platform engagement

Best when a specific foundation, workflow, cluster, or capability is blocking teams.

Starts with a defined outcome and delivery window. Ends with working code, clear ownership, and an agreed next decision.

Migration programme

Best when workloads need to move across cloud, data centre, or architecture boundaries with controlled risk.

Organised into discovery, readiness, migration waves, and service validation; governance and cutover risk stay visible throughout.

Ongoing reliability support

Best when the platform is live and needs sustained operational discipline or engineering capacity.

A shared operating cadence can combine service reviews, incident coordination, reliability improvements, and bounded platform backlog work.

Talk through the right scope