From migration strategy to 24×7 managed operations — we deliver end-to-end cloud services across AWS, Azure, Google Cloud, and Huawei Cloud with senior-architect expertise at every engagement.
Cloud migration is one of the highest-risk infrastructure projects a business undertakes. Done wrong, it causes downtime, data loss, and cost overruns. Done right, it unlocks scalability, resilience, and cost efficiency. We have done it right — repeatedly.
Our methodology covers discovery and assessment, target architecture design, phased execution, validation, and post-migration optimisation — with zero tolerance for data loss and minimal business disruption.
Complete inventory of your current environment — dependencies, performance baselines, compliance requirements, and risk mapping.
Rehost, Replatform, Repurchase, Refactor, Retire, or Retain — we apply the right strategy per workload, not a one-size approach.
Wave-based migration with automated validation, rollback procedures, and cutover planning that minimises business risk at every step.
AWS, Azure, GCP and Huawei Cloud — including hybrid multi-cloud architectures that span on-premises and cloud environments.
Modern software delivery requires modern infrastructure practices. CI/CD pipelines, Infrastructure as Code, container orchestration, and GitOps workflows are not luxuries — they are competitive requirements. We design and implement them end-to-end.
Our DevOps engagements reduce release cycles from weeks to hours, improve system reliability through automation, and eliminate manual toil that consumes your engineering team.
End-to-end pipelines using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline — with automated testing, security scanning, and deployment gates.
Terraform, Pulumi, or CloudFormation — every resource defined as code, version-controlled, and reproducible across environments.
Kubernetes cluster design, Helm chart management, service mesh configuration, and container security hardening for production workloads.
ArgoCD or Flux-based GitOps workflows, internal developer platforms, and self-service infrastructure that reduces cognitive load on engineering teams.
Most AI projects fail not because of the model — but because of the infrastructure. Deploying LLMs, RAG systems, and AI workloads in production requires GPU compute management, vector database architecture, LLMOps pipelines, and enterprise security. We build all of it.
Whether you want to deploy a private LLM on your own cloud, build a RAG system grounded in your enterprise knowledge base, or establish governance over AI outputs — we deliver the infrastructure that makes it work reliably.
Deploy Llama 3, Mistral, DeepSeek, or Falcon on your own cloud infrastructure — full data sovereignty with no external API dependency.
End-to-end RAG systems — document ingestion, chunking strategy, embedding pipelines, vector database setup, hybrid retrieval, and LLM integration.
Model versioning, prompt evaluation, cost tracking per request, hallucination guardrails, output validation, and continuous performance monitoring.
Right-size GPU instances on AWS, Azure, GCP or Huawei Cloud AI Compute. Implement auto-scaling and optimise inference cost per token.
Cloud spend without governance is waste at scale. Most organisations overspend on cloud by 30–40% due to idle resources, oversized instances, missing reserved capacity, and lack of visibility. Our FinOps practice fixes all of this — typically within the first 60 days.
A complete analysis of your current cloud spend — identifying idle resources, oversized instances, storage waste, data transfer costs, and quick wins.
Right-size commitments across AWS Reserved Instances, Azure Reserved VM Instances, GCP CUDs, and Huawei Cloud packages to reduce unit costs significantly.
Enforce mandatory tagging policies, cost allocation by team/product/environment, and budget alerts that surface anomalies before they become invoices.
Real-time cost visibility dashboards, unit economics tracking, and monthly executive reports that make cloud spend transparent across your organisation.
Security cannot be an afterthought in cloud infrastructure. A single misconfiguration can expose sensitive data, result in compliance violations, or enable a breach. We design cloud environments where security and compliance are architectural principles, not checklists.
IAM governance, least-privilege access, service account hardening, and network segmentation that eliminates implicit trust from your cloud environment.
SOC 2 Type II, ISO 27001, HIPAA, PCI-DSS, and GDPR-ready infrastructure with evidence collection, control mapping, and audit trail automation.
Automated scanning of cloud configurations, container images, and IaC templates — with prioritised remediation and verified fix validation.
Real-time threat detection, CloudTrail / Audit Log analysis, anomaly alerting, and incident response playbooks that reduce mean time to detect.
Running cloud infrastructure at scale requires constant vigilance — performance issues, capacity spikes, security events, and configuration drift all happen outside business hours. Our MSP service provides the dedicated operational coverage your infrastructure demands.
We act as your extended cloud operations team — monitoring, responding, optimising, and reporting — under a structured SLA that gives your business the reliability it needs.
Full-stack observability across compute, network, database, and application layers — with intelligent alerting that filters noise from signal.
Structured incident response with defined SLA tiers, on-call rotation, runbook-driven resolution, and post-incident reports with root cause analysis.
Scheduled maintenance windows, automated patching pipelines, change advisory board process, and zero-surprise infrastructure updates.
Executive dashboards, capacity planning reports, cost trend analysis, and quarterly business reviews that keep your leadership informed.
Every engagement starts with a free 30-minute discovery call. No commitment — just a conversation about your infrastructure and what is possible.