Cloud Migration Services

It’s not just copying servers into AWS or another provider. A proper migration means designing the target architecture, building a secure landing zone, setting up automation and observability, and then moving workloads in phases with rollbacks and monitoring. The goal is a better platform to run your business on, not just “the same thing in the cloud”.

Common signals are: hardware nearing end‑of‑life, rising data centre or hosting costs, frequent outages, slow releases, or plans to expand into new regions. If infrastructure is holding back product or growth, migration is usually less about “if” and more about how to do it without breaking things.

No. Many organisations start with ad‑hoc experiments and then realise they need structure. Stabilising what’s already in the cloud, codifying infrastructure, introducing GitOps, shoring up security, and wiring proper monitoring is often the first step before continuing the migration in a controlled, predictable way.

Our goal is to keep your users largely unaware that a migration is happening. We plan phased cutovers, blue‑green deployments, and canary releases where possible. When maintenance windows are unavoidable, we schedule them carefully, communicate clearly, and have rollback plans ready. Our SREs monitor the cutover so we can react within minutes, not hours.

No. We’re big fans of Kubernetes and containers, but we’re not dogmatic. For some workloads, lift-and-shift (rehost) is the fastest, safest move. Others may be replatformed to managed databases or services. Only where it clearly pays off do we refactor into containers or cloud‑native patterns. Every app gets the migration strategy that makes sense for your team and business, not for a generic playbook.

Timeframes depend on scope and complexity. A few applications can move in weeks; a large platform can take several months. A good approach starts with a pilot workload to prove the process and deliver early value, then expands in waves rather than aiming for a risky “big bang”.

Most projects centre around a major cloud provider (often AWS) and combine:

• Cloud networking, security, and landing zones
• Containers and Kubernetes where it's appropriate
• Infrastructure as Code (e.g., Terraform, Ansible)
• CI/CD and GitOps for deployments
• A full observability stack (metrics, logs, traces)

The exact stack is chosen to fit your team’s skills and long‑term plans.

Data is moved using encrypted channels, staged transfers, and integrity checks. Often, there’s a bulk load plus continuous sync so that data stays up to date until cutover. In the target environment, encryption, segmentation, and access controls are put in place so data ends up more secure than it was on-prem.

In the short term, there’s a project cost and a period where old and new environments may run in parallel. Over time, well-run migrations typically reduce spend by using right‑sized instances, autoscaling, and managed services. Cost visibility and FinOps practices (tagging, alerting, regular reviews) are key so the cloud doesn’t become a bigger, fuzzier bill.

DevOps practices turn migration into a repeatable process instead of a series of manual “big events”. CI/CD pipelines, infrastructure automation, and consistent branching and release workflows mean every migration step is scripted, tested, and traceable, and those same pipelines are reused afterwards for everyday deployments.

Cloud Engineering focuses on the platform itself: landing zones, networks, IAM, Kubernetes clusters, managed databases, caching, queues, and so on. It ensures that migrated applications land on a well-designed, scalable, and secure foundation, instead of a collection of improvised resources.

Site Reliability Engineering brings a reliability and measurement lens to the move. Defining SLIs and SLOs, setting up dashboards and alerts, and preparing incident runbooks mean the team knows what “good” looks like, how to detect issues quickly, and how to respond. The benefit is fewer surprises and faster recovery when something does go wrong.

For regulated environments, the migration plan is built around security and compliance from day one: strong IAM, encryption, audit‑ready logging, retention policies, and disaster‑recovery scenarios. Architecture and documentation are aligned with the relevant standards, so the new cloud setup stands up to audits, regulators, and due diligence.

Typically:

• Someone technical who understands the current systems and constraints
• Someone on the business/product side to prioritise workloads and timelines
• Access to environments, code repositories, and existing documentation

The external team handles most of the engineering and operations, but business context and priorities must come from inside.

Yes. Many clients keep ITsyndicate as their long‑term DevOps & SRE partner. After migration, we can:

• Operate and evolve your AWS/Kubernetes platform
• Maintain CI/CD and GitOps workflows
• Monitor uptime, performance, and costs
• Help with new features, regions, and services

If you prefer, we can also hand over to your internal team with training and documentation.

Not necessarily. Some clients have no DevOps team; others have a small team that we augment. Our model is flexible: we can act as your external DevOps & Cloud team, or as a senior extension to an existing team, bringing experience with migrations, Kubernetes, SRE, and AWS best practices.

We begin with a discovery call to understand your current setup, constraints, and goals. From there, we propose an assessment phase that maps your applications, dependencies, risks, and quick wins. The output is a concrete migration roadmap. Once you’re comfortable with the plan, we start with a pilot migration, a low-risk, high-value workload, so you can experience how we work before scaling up.