Cloud Migration Consultants Who Actually Understand Multi-Cloud and Microservices: A 2026 Buyer's Guide

Key points:

• For multi-cloud microservices migrations in 2026, credible consultancies fall into three buckets: Kubernetes and data specialists (Digitalis), enterprise MSPs and data integrators (Bespin Global, Adastra), and product-engineering firms that decompose monoliths into services (Keyhole Software, Django Stars, Romexsoft, ELEKS, rtCamp, Simform).
• Choose by which part of the migration is hardest for your team, not by logo. Kubernetes-native specialists for clusters, networking and stateful data; product-engineering firms for monolith decomposition and application rewrites; large MSPs for 24/7 operations and compliance sign-off across AWS, GCP and Azure.
• Five questions expose a single-cloud shop in disguise: show the same workload running on two clouds under one deployment workflow, name who owns the cloud accounts and the bill, produce the exit plan and IaC repo layout, count engineers who have run production Kubernetes upgrades (not just built clusters), and describe the platform developers use on day 90.
• The most common post-migration failure is the handover, not the migration: a Terraform repo plus a Kubernetes cluster nobody in-house can operate. Outsource the one-time expertise-heavy work and keep the developer-facing workflow, RBAC, cost ownership and on-call in-house.
• Qovery is not a consultancy. It is the platform layer consultants and in-house teams deploy onto: git-push deployments, preview environments per pull request, environment auto-stop, managed cluster upgrades and per-environment RBAC, running inside your own AWS, GCP, Azure or Scaleway account or your existing Kubernetes cluster, so the cloud bill and committed-use discounts stay in your name.

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Who should you hire for a multi-cloud microservices migration in 2026?

For a multi-cloud microservices migration in 2026, the credible field splits into three groups: Kubernetes and data specialists like Digitalis; enterprise MSPs and data integrators like Bespin Global and Adastra; and product-engineering firms like Keyhole Software, Django Stars, Romexsoft, ELEKS, rtCamp and Simform. Pick based on which of three things is hardest for your team right now: the clusters, the code, or the operations.

Category 1 - Kubernetes and data specialists. Digitalis is the clearest example. It is an engineer-led, cloud-agnostic consultancy focused on cloud-native infrastructure and distributed data systems (Cassandra, Kafka, PostgreSQL, Elasticsearch) on any Kubernetes across AWS, Azure and beyond. Hire this kind of firm when the hard part is stateful workloads, cluster design and platform engineering, not the application code.

Category 2 - enterprise MSPs and data integrators. Bespin Global runs cloud operations across AWS, Google Cloud, Azure and Oracle Cloud with a full-lifecycle managed-service model, and Adastra is a data-and-analytics consultancy that modernizes data estates (Snowflake, Databricks) across all three major clouds. This is the group to call for multi-region rollouts, 24/7 managed operations, data-platform migrations and regulated environments where someone has to own the pager and the audit.

Category 3 - product-engineering firms. These are the shops that actually rewrite application code. Keyhole Software (senior, US-based) and ELEKS handle microservices design and legacy modernization; Django Stars re-engineers Python systems with dedicated teams; Romexsoft modernizes applications on AWS (ECS, Fargate, serverless); Simform builds and re-architects products with a microservices and CI/CD focus; and rtCamp is the specialist if your "migration" is really an enterprise content platform moving to headless. Hire this group when the hard part is breaking a monolith apart.

One honest caveat: very few firms are genuinely cloud-neutral. Most have a dominant partner cloud, and that quietly shapes the target architecture they recommend. Romexsoft is openly AWS-first; Simform leans toward Azure; Digitalis and Keyhole present as cloud-agnostic. Ask any shortlist which cloud the majority of their last ten engagements actually landed on, and listen for a real answer.

Here is the decision rule that has held up for the teams we work with at Qovery: rank the top three risks in your migration, hire the firm whose core practice matches risk number one, and staff risks two and three in-house. Then factor in team size. A boutique specialist gives you senior people and continuity but a thin bench, so when your lead engineer rolls off, the knowledge can leave with them. A global MSP has depth and 24/7 coverage but less of the senior attention that makes a hard decomposition go well.

How do the leading multi-cloud migration consultancies compare?

No single firm covers clusters, code, and 24/7 operations equally well, so most multi-cloud microservices programs end up combining one specialist for the hardest risk with an internal platform for everything the specialist leaves behind. The table below compares the nine firms on the dimensions that actually decide fit, plus a final row for Qovery so it is clear where a platform sits versus a services firm. 📊

Read the table by scanning the last two columns first. The "microservices depth" and "what you own afterwards" columns tell you whether a firm rewrites your code and whether your team can operate the result, which is the shortlist shortcut: pick two specialists (usually one for clusters or data, one for application decomposition) plus one platform decision for the operating model you live with after they leave.

To be fair to every firm here, each does things Qovery deliberately does not. Digitalis will operate a mission-critical Cassandra cluster at 3am; Bespin Global and Adastra will staff a NOC and run a data-platform migration; Keyhole, ELEKS, Django Stars, Romexsoft and Simform will put engineers on your monolith and rewrite it. Qovery is not a substitute for any of that. It is the layer their work lands on.

What five questions expose a single-cloud shop pretending to be multi-cloud?

Most multi-cloud claims collapse under five specific questions, and you can paste all five straight into an RFP. Ask for evidence, not slides: a repo, a demo, a named owner, and an artifact for each.

1. "Show me the same workload running on two clouds under one deployment workflow." Ask for a live demo or a Git repository, not an architecture diagram. A genuine multi-cloud practice has this lying around; a single-cloud shop will promise to build it during your engagement.
2. "Who owns the cloud accounts, the Terraform state, and the billing relationship?" Reseller-model MSPs often hold the bill on your behalf, and that quietly forfeits your AWS Savings Plans, Google Cloud committed-use discounts and Azure reservations, because those only apply to spend in your own account.
3. "What is the exit plan?" Require the runbook, the IaC repo layout and the on-call handover written into the statement of work, not delivered as a closing gesture on the last day. If the exit plan is an afterthought, you are buying lock-in without a vendor contract.
4. "How many of your engineers have run production Kubernetes version upgrades, not just built clusters?" Building a cluster is a week of work. Upgrading and operating one happens every quarter, because upstream Kubernetes ships roughly three minor releases a year, and it is where most teams actually get hurt.
5. "What platform do my developers use on day 90?" If the answer is kubectl plus a wiki page, deployment velocity regresses the moment the consultancy leaves. You want a self-service platform your developers already log into daily.

The anti-pattern to watch for is the bespoke internal platform: a one-off pile of scripts and glue that only the consultancy understands. It demos beautifully and becomes unmaintainable the day the last consultant rolls off.

The green flags are simple. Named handover artifacts in the SOW, cloud accounts and billing in your own name, and a shadow period where the consultancy watches your team operate the system before the final invoice clears.

Why do multi-cloud microservices migrations fail, and what does the data say?

Cloud migrations overrun their budget and schedule far more often than they fail outright: McKinsey found 75% of migrations went over budget and 38% ran behind schedule, and cost control stays the number one pain afterward, with 85% of organizations naming managing cloud spend their top challenge in Flexera's 2026 State of the Cloud report. The recurring tax after the migration is operational: Kubernetes complexity plus a skills gap that most teams underestimate.

Multi-cloud is now the default, not the exception. Flexera reports 89% of organizations run a multi-cloud strategy and 73% run hybrid cloud, and the same research has repeatedly flagged a shortage of resources and expertise as a leading barrier. Waste compounds the skills problem: Flexera's 2026 data puts self-reported wasted cloud spend at 29% of spend, the first increase in five years. Some of that waste is what pushes workloads back: IDC found that around half of cloud buyers spent more than expected in 2023, though only about 8-9% of companies plan full repatriation rather than selective moves.

Kubernetes is where the operating cost concentrates. The CNCF's 2025 survey found 82% of container users now run Kubernetes in production, but the top barriers are not just technical: cultural change (47%), lack of training (36%), security (36%) and complexity (34%). A migration that hands you a cluster without closing those gaps hands you the problem, not the solution.

Then there are the concrete multi-cloud traps with real numbers:

• Egress pricing. Moving data between clouds is billed per GB and it adds up fast. AWS lists internet data transfer out at $0.09/GB after the first 100 GB free, and Azure lists $0.087/GB for the first paid tier from North America and Europe, also with 100 GB free; Google Cloud prices internet egress in the same per-GB range. Route chatty services across cloud boundaries and this line item balloons.
• Duplicated pipelines. Every cloud you add tends to grow its own CI/CD fork, its own IAM model, and its own on-call runbook, so you pay the operational cost three times.
• Environment sprawl. This is the microservices trap. Once you decompose a monolith, every service needs somewhere to run per pull request, or code review and deployment frequency quietly degrade. Google's DORA research ties elite delivery performance to short lead times and on-demand deploys, and slow, shared, hand-provisioned environments are exactly what pulls a team out of that band.

The pattern that works is to migrate workloads and standardize the developer workflow in the same program, not sequentially. Teams that move first and "figure out the platform later" usually inherit the sprawl and never quite recover the velocity they had before decomposition.

What should you outsource, and what must stay in-house?

Outsource the one-time, expertise-heavy work and keep the repeatable, developer-facing workflow in-house, because the workflow is what you live with for the next five years and the migration is over in months. The split below is the one we see work across teams migrating onto their own clouds.

The staffing math favors keeping the workflow in-house. A US software developer's median wage is about $135,980, and role-specific total compensation runs higher, with Levels.fyi reporting median total comp around $151,000 for DevOps engineers and $203,600 for SREs. Fully loaded, a two-to-four-person platform team is a real six-figure annual line, but it is a fixed, compounding asset. A consultancy retainer at published day rates is not cheap either: the UK Government's G-Cloud framework rate cards list DevOps and engineering day rates from roughly £350 to £1,100 per day depending on seniority, and Clutch's marketplace shows cloud and DevOps consulting hourly rates spanning $25 to over $300. Over a multi-month engagement, a small senior team runs well into six figures, and when it ends you own artifacts, not capability, unless you built the in-house side in parallel.

So write the handover into the SOW as line items, not hopes: IaC repos, runbooks, dashboards, cost reports, and a named platform the team already self-serves on. Add a 30-day shadow period and a documented rollback plan as contractual terms, not optional courtesies.

The 2026 default is hybrid, and I would state it plainly to any vendor: consultants for the migration, an internal developer platform for the operating model. That combination is what keeps the migration from unraveling the quarter after the invoice clears.

Where does Qovery fit in a consultant-led multi-cloud migration?

Qovery is not a consultancy; it is the platform layer that makes a consultant-led migration survive the handover, giving your developers self-service deployments that run inside your own cloud account or your existing Kubernetes cluster. It is the answer to question five from the RFP checklist: the platform your developers use on day 90.

The core of it is BYOC, bring your own cloud. Qovery deploys and operates your applications inside your own AWS, GCP, Azure or Scaleway account, or on a Kubernetes cluster you already run (any distribution, including self-managed and on-prem). The cloud bill stays in your name, which means your Savings Plans, committed-use discounts and reservations keep applying, worth up to 66% on AWS Compute Savings Plans and 72% on EC2 Instance Savings Plans and up to 70% on Google Cloud committed-use discounts. Those discounts are exactly what a reseller-model MSP quietly takes off the table.

On capabilities, here is what Qovery actually does, and only what it does: git-push deployments, preview and ephemeral environments per pull request, environment auto-stop for non-production so idle spend does not pile up, managed Kubernetes cluster upgrades, per-environment RBAC, and databases backed by managed cloud services. For a microservices estate that matters because you get one deployment workflow across dozens of services and across clouds, instead of a per-cloud CI/CD fork maintained by each team. The preview-environment-per-PR piece is the direct fix for the environment sprawl that decomposition creates.

For the handover specifically, the value is continuity. The consultancy lands workloads on a platform your developers already use, so day 90 does not depend on bespoke scripts nobody documented. When the specialists roll off, the operating model stays.

Let me be equally clear about the limits. Qovery will not refactor your monolith, run your compliance audit, or staff your NOC. That is precisely what the firms in the comparison table are for. Qovery works alongside them and can be introduced mid-migration, including onto a cluster a consultancy has already built for you.

How should you sequence a multi-cloud microservices migration in 2026?

Sequence it in five phases: a 2-4 week assessment, a 3-6 week platform build, then service-by-service migration with the strangler pattern, then stateful data last, then a handover with a shadow period. The single most important ordering rule is that the platform comes before production traffic, not after, so measure any proposal against that.

• Phase 0 (2-4 weeks): assessment. Build the dependency map, make a per-service target-cloud decision, and set a cost baseline with current egress and idle spend actually measured, not estimated.
• Phase 1 (3-6 weeks): land the platform first. One cluster, one deployment workflow, RBAC and preview environments, before you move any production traffic. This is the phase teams skip and regret.
• Phase 2: strangler pattern. Migrate service by service, lowest-risk first, with the monolith still serving traffic, so every step is reversible.
• Phase 3: stateful workloads and data last. Databases, queues and caches are the highest-risk pieces; move them last and let specialists who do it daily run the cutover.
• Phase 4: handover. Runbooks, on-call rotation, cost dashboards, and a 30-day shadow period before the final invoice, so the exit is verified rather than assumed.

The proposal red flags are the mirror image of that sequence: a big-bang cutover date, no platform phase, no exit plan, per-cloud tooling duplication, and no named owner for cost after go-live. Any one of them is a reason to send the SOW back.

Frequently asked questions

Looking for cloud migration consultants who understand multi-cloud strategies and microservices - what is actually available in 2026?

In 2026 the field splits into three types: Kubernetes and data specialists such as Digitalis, enterprise MSPs and data integrators such as Bespin Global and Adastra, and product-engineering firms such as Keyhole Software, Django Stars, Romexsoft, ELEKS and Simform. Choose by your hardest risk: clusters and stateful data, 24/7 operations, or application decomposition. Keep the developer workflow in-house on an internal developer platform so the migration outlives the engagement.

Which consultancies are best for migrating a monolith to microservices across multiple clouds?

For breaking a monolith into services and rewriting code, product-engineering firms fit best: Keyhole Software and ELEKS for microservices design and legacy modernization, Django Stars for Python re-engineering, Romexsoft for AWS-centric modernization, and Simform for microservices and CI/CD. If the hard part is stateful data or cluster design rather than code, Digitalis is the stronger call. Match the firm to whichever part of the work is genuinely hardest for your team.

How much does a multi-cloud microservices migration cost in 2026?

Costs are driven by consultancy day rates plus the internal platform team you keep. UK G-Cloud rate cards list DevOps and engineering day rates from roughly £350 to £1,100, and a multi-month engagement runs well into six figures. In parallel, a small platform team is a real cost given median DevOps total comp around $151,000. Budget for both, because outsourcing the migration without an in-house operating model tends to cost more later.

Do I need a cloud migration consultancy, an internal platform team, or both?

Both, in most cases. Outsource the one-time, expertise-heavy work (assessment, data migration, monolith decomposition, compliance review, cutover) to firms like Digitalis, Adastra or Keyhole Software, and keep the repeatable developer-facing workflow, RBAC, cost ownership and on-call in-house. The hybrid model is the 2026 default because the migration ends in months while the operating model runs for years, and the handover is where migrations most often fail.

Is Qovery a cloud migration consultancy?

No - Qovery is a deployment platform, not a services firm. It gives developers self-service git-push deployments, preview environments per pull request, environment auto-stop, managed Kubernetes upgrades and per-environment RBAC, all running inside your own AWS, GCP, Azure or Scaleway account or your existing Kubernetes cluster. Qovery does not refactor monoliths, run compliance audits or staff a NOC; it is the platform that consultants and in-house teams deploy onto so the migration survives the handover.

How do I avoid vendor lock-in when a consultancy runs my multi-cloud migration?

Keep the cloud accounts, the Terraform state and the billing relationship in your own name, and require the exit plan (runbook, IaC repo layout, on-call handover) in the statement of work rather than as a final deliverable. Reseller-model MSPs that hold the bill forfeit your AWS Savings Plans of up to 66-72% and Google Cloud committed-use discounts. Add a shadow period before the final invoice so your team proves it can operate the result.

What questions should I ask a cloud migration consultant before signing a contract?

Ask five: show the same workload on two clouds under one deployment workflow; name who owns the accounts, Terraform state and bill; produce the exit plan and IaC repo layout; state how many engineers have run production Kubernetes upgrades, not just built clusters; and describe the platform your developers use on day 90. Vague answers to any of these, especially the last two, signal a single-cloud shop or a lock-in risk.

The honest summary: hire a specialist for your hardest risk, keep the developer workflow in-house, and write the handover into the contract. Do those three things and the migration is something your team owns afterward, not something you rent forever.