Technology
Cloud and DevOps
AWS, Azure, GCP: cloud architecture, containers, CI/CD, infrastructure as code, observability and FinOps.
What we do
We scale your infrastructure to cloud-native with DevOps discipline
From designing scalable, highly available cloud architectures to automated CI/CD pipelines, Kubernetes and cost optimisation, we deliver systems that perform, evolve and adapt without operational friction.

Cloud Architecture: AWS, Azure, GCP and Multicloud
Design and implementation of scalable, resilient and highly available systems.
- Cloud-native architecture design: Microservices, serverless, event-driven architectures
- AWS expertise: EC2, S3, RDS, Lambda, API Gateway, ECS/EKS, VPC, security
- Azure expertise: App Services, Azure SQL, Cosmos DB, Functions, AKS, Virtual Networks
- GCP expertise: Compute Engine, Cloud SQL, Firestore, Cloud Functions, GKE
- Multicloud and hybrid strategies: Avoiding lock-in, portability, identity federation
- On-premises to cloud migration: Upfront assessment, replatforming, refactoring, lift-and-shift

Containerisation and Orchestration: Containers in Production
Containerisation, scalable orchestration and container lifecycle management.
- Application containerisation: Architecture analysis, optimised Dockerfiles, image registries
- Kubernetes (EKS, AKS, GKE): Deployments, StatefulSets, ConfigMaps, Secrets, autoscaling
- Helm and package management: Templating, reusable values, private repositories
- Container observability: Centralised logging, pod metrics, troubleshooting
- Container security: Vulnerability scanning, runtime security, RBAC in K8s
- Scaling and self-healing strategies: HPA, VPA, disruption budget policies

Infrastructure as Code (IaC)
Automating, managing and versioning infrastructure through code to ensure consistent, reproducible and scalable environments.
- Terraform: Reusable modules, workspaces, remote state, multicloud
- CloudFormation (AWS) and ARM (Azure): Native templates, nested stacks, orchestrated changes
- Ansible: Server configuration, orchestration, post-infrastructure provisioning
- Consistency across environments: Identical dev, staging and production through code
- Policy as Code: Sentinel (Terraform), Azure Policy, OPA/Rego for automated compliance
- Auditing and traceability: Git repository as the single record of infrastructure changes

FinOps: Cloud Cost Management
Visibility, allocation and optimisation of cloud spend.
- Current cost analysis: Breakdown by project, service, department and environment
- Budget planning: Forecasting, anomaly alerts, trend analysis
- Instance optimisation: Right-sizing, reserved instances, savings plans, spot instances
- Cost governance: Tags, cost allocation, showback/chargeback, spending limit policies
- FinOps frameworks: Adoption of CNCF practices, FinOps roles, incentives for savings
- FinOps tools: CloudHealth, Kubecost, Cloud Intelligence Dashboard, ROI calculation

Observability: Logs, Metrics and TracesALDIA differentiator
The three pillars of observability: centralised logging, real-time metrics and distributed tracing.
- Centralised logging: ELK Stack, Loki, Splunk, DataDog; search, indexing, retention
- Metrics and time series: Prometheus, Grafana, CloudWatch, Azure Monitor, trend analysis
- Distributed tracing: Jaeger, Zipkin, DataDog APM; end-to-end request tracing
- Intelligent alerting: Anomaly detection, contextual rules, on-call integration
- Dashboards and SLO/SLI Operational dashboards, error budgets, reliability tracking
- Observability cost attribution Analysis of observability data to optimise ingestion
We combine deep cloud expertise (AWS, Azure, GCP) with DevOps discipline (CI/CD, IaC, observability) and cost management (FinOps). We don’t deploy infrastructure in isolation: we automate delivery, monitor continuously and optimise spend from day one. Every line of code versioned, every change auditable, every metric visible.
Other disciplines
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Cybersecurity
SOC/XDR, cloud security, pentesting, OT/ICS, compliance.
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Software development
Web and mobile applications, APIs, architecture and QA.
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Infrastructure
Systems, storage, networks and monitoring.
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Enterprise platforms
SAP, Oracle, Salesforce, Workday, Pega, Murex.
Do you have a cloud or DevOps project?
Tell us what architecture you need, on which cloud, with what SLA and budget. We’ll explain how we would approach it, with which team and on what timescale.

