Cloud Management

7 Best MSP Practices for Azure and AWS Cloud Migrations

Posted on by AIS

Table of Contents

1. Proven Migration Planning and Assessment

A poor cloud migration can cost you weeks of downtime, lost revenue, and staff frustration that takes months to recover from. Yet most MSPs treat cloud migrations like one-size-fits-all projects, moving workloads without a real plan for your specific business risks or performance needs.

At AIS, we’ve migrated production systems for a federally regulated airport authority, a global pharmaceutical R&D campus, and dozens of Indiana mid-market businesses. We’ve also seen the aftermath of migrations gone wrong: systems that “moved to the cloud” but never got properly optimized, disaster recovery plans that don’t actually work during an incident, and cloud bills that skyrocket because no one’s managing costs post-launch.

The difference isn’t luck. It’s discipline. Here are the seven practices we follow on every Azure and AWS migration, and what separates us from MSPs who just lift-and-shift without accountability.

Do you know exactly which systems can tolerate an hour of downtime and which ones cannot? Have you mapped dependencies between applications so you understand what breaks if one system goes down mid-migration?

Most organizations discover these answers during the migration itself, which is too late. We start every project with a thorough assessment that documents your current environment, application dependencies, compliance requirements, and realistic downtime windows for each workload.

Here’s what this looks like in practice: For a 120-person Indianapolis manufacturing company, we discovered that their main ERP system fed into three dependent applications across two different servers. Their original MSP’s “migration plan” was to move everything in one weekend. Our assessment showed that sequence would cause a cascade failure. We restructured the migration to move the ERP first, validate it thoroughly for two days, then move the dependent applications in the correct order. Zero production incidents.

The assessment also identifies what stays on-premises (legacy systems that don’t migrate well), what goes to managed infrastructure, and what makes sense for a multi-cloud approach. Skipping this step is how you end up with expensive cloud resources running workloads that should be on-prem, or worse, cloud costs that climb because nobody established guardrails early.

What to do next: Audit your current applications and document dependencies, licensing restrictions, and actual business-impact windows for each system. If you’re unsure, that’s a signal you need expert assessment before moving anything.

2. Dedicated Migration Engineering Teams

Can your current MSP point to the same three engineers who will handle your migration from day one through stabilization? Or do they rotate staff and treat your project like one of dozens happening in parallel?

Migration projects require focus. We dedicate a fixed engineering team to each major migration, and those engineers own the outcome. They don’t rotate to other client incidents mid-project. They learn your environment deeply, anticipate problems, and stay accountable through stabilization.

This matters because Azure and AWS migrations involve hundreds of configuration decisions. A staff rotation in the middle of your project means new engineers re-learning your architecture and potentially reversing decisions that were already made. We’ve worked with Carmel and Fishers organizations that burned three months on migrations partially because their previous MSP cycled through four different engineers.

Our team also includes someone with deep cloud platform expertise (Azure or AWS, depending on your choice) and someone who specializes in your specific industry or system type. For a healthcare practice managing patient records, that means someone who understands HIPAA compliance requirements. For a construction trades union managing equipment logistics, that means someone who understands how the software talks to their field systems.

What to do next: Before signing with any MSP, ask for a named migration team and confirm they won’t be pulled off your project for support emergencies. Get that commitment in writing.

3. Phased Cutover Strategies That Minimize Disruption

Should you move everything to Azure or AWS in one weekend, or phase it gradually? The answer depends on your tolerance for risk and how critical each application is to revenue.

We design phased cutover strategies that move your lowest-risk systems first, validate them thoroughly, then progress to mission-critical workloads. This approach lets us catch and fix problems on non-critical systems without impacting your business.

A typical phased strategy looks like this:

  • Phase 1: Non-production systems (development, test, staging environments). These validate the cloud infrastructure and process without touching live operations.
  • Phase 2: Secondary production systems (reporting databases, non-customer-facing applications). These validate the process at production scale but with lower business impact if something goes wrong.
  • Phase 3: Mission-critical production systems (order management, financial systems, customer-facing applications). By this point, your team and ours have done this twice and are confident.

For a Hendricks County equipment supply company, this phased approach meant we caught a network latency issue during Phase 2 that would have disrupted their entire order system if we’d hit it in Phase 3. We fixed it before it mattered.

A phased approach also gives your staff time to adjust. Your IT team learns the cloud environment gradually instead of facing a cliff where everything changes at once. Your operations and business teams get used to new tools and processes in stages.

What to do next: Define your workloads in low-to-high risk order and work with your MSP to schedule cutover dates with clear rollback plans for each phase.

4. Real-Time Monitoring During Transitions

What’s happening to your applications right now, during the migration cutover? If you’re relying on your MSP to call you with updates hours later, you’re already exposed.

We run continuous monitoring during every cutover window. That means network performance metrics, application response times, database transaction logs, and cloud resource utilization are being watched in real time by our engineering team. If something degrades, we catch it within minutes, not hours.

This is different from post-migration monitoring. During the cutover itself, we’re watching for:

  • Application latency spikes (is the cloud infrastructure undersized?)
  • Database replication lag (are transactions staying synchronized?)
  • Network bandwidth constraints (is the pipe between on-prem and cloud too narrow?)
  • Unexpected resource contention (are multiple services fighting over the same compute?)

The moment we see a red flag, our team investigates. Sometimes it’s a misconfiguration that takes 10 minutes to fix. Sometimes it’s a resource that was sized wrong, and we scale it up before your users notice. Sometimes it means we pause the migration and roll back to the previous phase, which is why every phase has a documented rollback plan.

For an Indianapolis water utility, real-time monitoring during their migration identified a DNS resolution delay that would have caused cascading failures across their operational networks. We fixed it during the cutover window instead of discovering it the next morning when water pressure alerts started firing.

What to do next: Ask your MSP what they’ll monitor during your cutover and what response time they commit to if something goes wrong. A 30-minute response on a critical system isn’t good enough.

5. Comprehensive Backup and Disaster Recovery Integration

Your cloud migration isn’t truly complete until you know exactly how to recover from a failure. That means backup and disaster recovery have to be built in during the migration itself, not added afterward.

We integrate Cloud & Backup Services into every migration to ensure your new cloud infrastructure has multiple recovery paths. This means:

  • Daily snapshots of your cloud databases and file systems, stored in a geographically separate cloud region
  • Point-in-time recovery capability (you can restore to any specific time in the last 30 days)
  • Automated failover to backup infrastructure if your primary cloud environment goes down
  • Regular testing of the recovery process so you’re not discovering problems during an actual incident

The testing part is critical. Many organizations migrate to the cloud, set up backups, then never test them. We run monthly or quarterly disaster recovery drills on every critical system to prove the backup actually works.

A Carmel technology firm we work with discovered during their first DR drill that their backup was running correctly, but their failover procedure had a critical manual step nobody documented. We fixed it then, not during an actual disaster.

Backup and disaster recovery also include compliance. If you’re subject to industry regulations (healthcare, financial services, legal), your backup strategy has to meet specific retention and accessibility requirements. We build those into the plan during migration, not as an afterthought.

What to do next: Confirm your backup strategy includes cross-region redundancy and schedule your first disaster recovery drill within 90 days of go-live. If your current plan doesn’t include regular testing, it’s not actually a plan.

6. Post-Migration Performance Optimization

Your systems are now in Azure or AWS, everything’s working, and your team is relieved the migration is done. This is actually when optimization begins.

In the weeks following go-live, we monitor actual usage patterns and optimize cloud resource allocation. What looked right on paper sometimes needs adjustment based on real business traffic. A database that seemed fine at sizing might benefit from caching. A virtual machine might be over-provisioned. Network paths might take unexpected routes.

We use data analytics and reporting to identify these opportunities. That might mean we scale down a resource by 30%, reducing your monthly bill by hundreds of dollars. Or we identify a bottleneck that’s causing application slowness and fix it by reallocating compute or network resources.

For a Plainfield distribution company, post-migration optimization revealed they were running three separate virtual machines for workloads that could consolidate into one without performance loss. That change cut their cloud infrastructure costs by 40%.

Optimization also includes application-level tuning. Does the application have database queries that are now inefficient at cloud scale? Does it need connection pooling? Are there caching opportunities? We work with your development team (if you have one) or our Strategic IT Consulting team to find these gains.

What to do next: Plan for a 60-day optimization window after go-live. Schedule weekly reviews of resource utilization and cost metrics with your MSP.

7. Ongoing Cloud Governance and Cost Management

After migration, most organizations face a common problem: cloud costs rise unexpectedly because nobody’s actively managing spending and governance.

We implement automated governance and cost management from day one. This means:

  • Automatic shut-down of unused resources (test environments that stayed running after testing ended, for example)
  • Reserved instance planning so you’re not paying on-demand rates for predictable workloads
  • Right-sizing recommendations based on actual usage
  • Monthly cost analysis so you understand where every dollar is going
  • Policy enforcement (if a resource type is too expensive, it gets flagged for approval)

Governance also includes access control and security. Who can create new cloud resources? Who can delete them? What’s the approval process? Clear policies prevent both security incidents and runaway cloud costs from development teams spinning up expensive resources for testing.

One Greenwood manufacturing company came to us after their previous MSP left them with no cloud cost controls. Their monthly Azure bill had grown from $8,000 to $24,000 in 18 months because nobody was managing resource sizing or removing obsolete environments. We implemented governance controls and right-sized their infrastructure, bringing the bill back down to $11,000 while actually improving performance.

For organizations serious about cloud efficiency, Strategic IT Consulting is often the right path. We help you establish cost allocation by department, define approval workflows for new resources, and build cloud budgeting into your overall financial planning.

What to do next: Start tracking your cloud costs now, even if you haven’t migrated yet. Identify which departments use cloud resources and define spending limits. This foundation makes post-migration governance much easier.

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A successful MSP cloud migration partner combines careful planning, dedicated engineering talent, disciplined cutover execution, and long-term governance. We’ve delivered these practices across AWS and Azure migrations for organizations across Indiana, from 45-person trade unions to 500-person enterprises.

If you’re consolidating IT vendors and need a migration partner who operates at Fortune 100 scale while staying invested in your Indianapolis or Indiana business, talk to us. We’ll audit your environment, scope your project honestly, and commit our best team to the outcome.

Talk to AIS, an Indianapolis IT company delivering managed IT, managed cybersecurity, and cloud and backup services to Indiana businesses. Call (317) 974-0382 or visit aisllp.com to start a conversation.

Frequently Asked Questions (FAQ)

How does your migration planning reduce downtime and risk?

We start with a thorough assessment of your current environment to identify dependencies, applications, and data that need special handling during the move to Azure or AWS. Our team then builds a phased cutover plan tailored to your business, so we migrate workloads in stages rather than all at once. This approach lets us catch and fix issues before they impact your operations, and we maintain real-time monitoring throughout each phase to spot problems the moment they appear.

What happens to our data and systems if something goes wrong during migration?

We integrate comprehensive backup and disaster recovery protocols before we touch anything in production, so we can always roll back to your original environment if needed. Our team tests these recovery procedures beforehand to make sure they work, and we keep redundant copies of your critical systems running in parallel during the transition. If an unexpected issue occurs, we’re equipped to restore your operations quickly without losing data or causing extended downtime.

Do you help us manage cloud costs and performance after we’ve migrated?

Y

es. We don’t consider the migration complete until your systems are optimized and running efficiently in the cloud. We monitor your cloud environment continuously, adjust resource allocation to eliminate waste, and provide you with clear reporting on what you’re spending and why. Our ongoing governance keeps your setup secure, compliant, and cost-effective so you’re not overpaying for unused capacity or missing optimization opportunities.

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