Cloud Migration
Move to AWS and Azure securely, efficiently, and without disruption
Moving to the cloud unlocks scalability, flexibility, and performance that on-premises infrastructure cannot match — but only if the migration is planned and executed well. DYDD Technologies helps you transition your infrastructure to AWS and Azure securely and efficiently, acting as a strategic partner from the first assessment through post-migration optimization.
The problem: aging infrastructure and risky, stalled migrations
On-premises infrastructure ages badly. Hardware refresh cycles demand large capital outlays, capacity is either wasted or exhausted, and scaling for peak demand means buying servers that sit idle the rest of the year. Disaster recovery is expensive to maintain and rarely tested. Yet many cloud migrations stall or backfire: applications lifted without a plan run slower and cost more than before, undocumented dependencies break mid-cutover, and security configurations that were safe inside a private network become exposures in the cloud. Teams without cloud experience face an unfamiliar billing model where mistakes are easy and invisible until the invoice arrives. The result is an organization stuck between infrastructure it has outgrown and a migration it does not trust itself to execute.
Our approach: assess, plan, migrate, optimize
Every migration starts with an assessment: we inventory your applications, data, and dependencies, then classify each workload by the strategy that fits it — rehost for speed, replatform for quick wins, or refactor where cloud-native architecture pays off. The migration plan sequences workloads to minimize risk, with rollback procedures and validation criteria for each wave. We build the landing zone first — identity, networking, and security baselines on AWS or Azure — so workloads arrive into a well-governed environment. After cutover, we tune performance and cost: right-sizing resources, adopting managed services, and setting up the monitoring and budgeting guardrails that keep the cloud efficient long term.
- Discovery and assessment of applications, data, dependencies, and current infrastructure costs
- Per-workload migration strategy: rehost, replatform, or refactor, chosen on business value and risk
- Secure landing zone design on AWS or Azure — identity, networking, and security baselines first
- Wave-based migration execution with validation criteria and rollback plans for each cutover
- Data migration with integrity checks and minimal downtime windows
- Post-migration optimization: right-sizing, managed services adoption, and cost monitoring
What you get
- A migration readiness assessment and per-workload strategy report
- A secure, governed landing zone in AWS or Azure defined as infrastructure-as-code
- Executed migration waves with documented validation and rollback procedures
- Monitoring, alerting, and cost-management dashboards for the new environment
- A cost-optimization review after stabilization, with concrete right-sizing actions
- Runbooks and training so your team operates the cloud environment confidently
Frequently Asked Questions
How long does a cloud migration take?
It depends on the number and complexity of workloads, which is why we always begin with an assessment. Simple rehost migrations of a few applications can complete in weeks; portfolios with many interdependent systems are migrated in planned waves over several months. The wave-based approach means you gain cloud benefits incrementally instead of waiting for one big cutover.
Will our systems go down during the migration?
Minimizing downtime is a core design goal of the migration plan. Each wave has a rehearsed cutover procedure, defined maintenance windows agreed with your business, data synchronization to shorten the switch, and a rollback plan in case validation fails. Many workloads can be migrated with little or no user-visible interruption.
Should we choose AWS or Azure?
Both are excellent platforms, and DYDD Technologies works as a strategic partner on each. The right choice depends on your existing technology stack, licensing agreements, team skills, and the managed services your workloads need — for example, organizations invested in Microsoft tooling often favor Azure, while others fit AWS naturally. The assessment phase produces a concrete recommendation for your situation.