AZYLEO

Cloud & Enterprise

Cloud platforms that are secure, automated and cost-aware.

We design cloud architectures across AWS, Microsoft Azure, Google Cloud and Oracle Cloud Infrastructure, migrate workloads in controlled waves, and automate the infrastructure behind them.

Service line: Cloud & Infrastructure

Cloud strategy, architecture and migration across AWS, Azure, Google Cloud and Oracle Cloud, with serverless, infrastructure automation and cloud security by Azyleo Technologies.

Business challenges

Where organizations get stuck.

  • Migrations that run over budget because dependencies were never mapped.
  • Cloud spend that grows faster than the value it delivers.
  • Security controls added after go-live rather than designed in.
  • Environments configured by hand, which makes them hard to reproduce.

Our solutions

How we address it.

01

Target architecture

A reference design for landing zones, networking, identity and workload placement, matched to your compliance and latency needs.

02

Migration waves

Dependency mapping and phased moves that keep critical services running, each with a tested rollback.

03

Platform automation

Infrastructure as code, deployment pipelines and environment templates that make every stage reproducible.

04

Security and cost posture

Policy guardrails, monitoring and right-sizing set up from the first day rather than retrofitted.

Technical capabilities

What we do in this area.

  • Cloud strategy and architecture
  • Cloud migration and modernization
  • AWS, Azure, Google Cloud, and Oracle Cloud
  • Cloud-native application development
  • Serverless architecture
  • Infrastructure automation
  • Cloud security and optimization

Business outcomes

What we aim to change.

These are goals, not promised results. We measure them against your baseline, which we agree during discovery.

  • Migrations sequenced around business risk and service continuity.
  • Infrastructure that can be rebuilt from code.
  • Cost visibility by team, service and environment.
  • Security baselines that are tested rather than assumed.

Our approach

Four stages, each with a clear decision.

  1. 1

    Discover

    Inventory systems, data flows and dependencies. Identify which workloads are ready to move and which need work first.

  2. 2

    Design

    Define the target architecture, controls and operating model with the teams that will run it.

  3. 3

    Migrate

    Move workloads in waves with rollback plans, parallel running where needed and clear cutover criteria.

  4. 4

    Optimize

    Track reliability, security findings and cost. Tune capacity and automate the routine work.

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Discuss Cloud & Infrastructure with our team.

Share the process, the systems involved and what good would look like. We will reply with a clear proposal for a first step.