The cloud success stories all follow the same arc. A company migrates to AWS or Azure, scales from 10 servers to 10,000 with zero infrastructure headaches, and spends a fraction of what their on-premise data centre cost. These stories are real. They are also incomplete. The part that gets left out is what happens to the cloud bill at month six, when the excitement of migration has passed and the provisioned resources are still running at the capacity levels that were set up for peak demand, whether or not peak demand is actually occurring.
According to Softjourn’s compilation of 100 plus cloud computing statistics for 2026, organisations waste an estimated 31 percent of their cloud spending on unused or over-provisioned resources. On a $1 trillion cloud market, that is roughly $280 billion in annual waste sitting in idle compute instances, forgotten storage volumes, over-sized database tiers, and data transfer costs that nobody modelled during migration planning. According to the same source, a single hour of cloud downtime costs over $100,000, and 40 percent of enterprises have lost between $1 million and $5 million in a single downtime event.
The global cloud computing market reaches between $905 billion and $1.04 trillion in 2026, according to Fortune Business Insights and Mordor Intelligence market data, growing at a CAGR of 15.7 to 20.65 percent through 2031. With 94 percent of enterprises now using cloud services in some form, according to Codegnan cloud computing statistics for January 2026, the question is no longer whether to go to the cloud. It is whether you are getting the value out of the cloud investment you have already made, or watching 31 percent of it evaporate into idle instances every month. The cloud computing companies in this guide were selected because their verified evidence shows they close that gap. ReadAuthentic independently evaluated 5 companies. Zero paid placements.
The Cloud Computing Market in 2026: Data That Frames the Opportunity and the Risk
Cloud computing in 2026 is not an emerging technology. It is infrastructure. With 45 percent of enterprise IT budgets now allocated to cloud, according to Codegnan citing the latest enterprise cloud spending data, the majority of enterprise computing has already shifted. What has not shifted is the governance and cost management discipline needed to make that spend efficient. The table below consolidates the most commercially relevant 2026 cloud computing statistics from primary research sources, including the Finout 49 cloud statistics analysis, the DTP Group comprehensive cloud statistics for February 2026, and the Holori cloud market share analysis.
Statistic | Data Point | Source |
Global cloud computing market value 2026 | $905.33 billion to $1.04 trillion | Fortune Business Insights and Mordor Intelligence, January 2026 |
Enterprise cloud adoption rate 2026 | 94% to 96% of organisations | Softjourn 100 plus cloud computing statistics, January 2026 |
Share of IT budgets allocated to cloud in 2026 | 45% of enterprise IT spending | Codegnan cloud computing statistics, January 2026 |
Percentage of cloud spend wasted on unused resources | 31% estimated waste globally | Softjourn and Finout cloud statistics, 2026 |
Cost of one hour of cloud downtime | $100,000 or more per hour | Erwood Group data cited in Finout 49 cloud statistics, 2026 |
Enterprises reporting a cloud breach in past 2 years | 98% | Softjourn 100 plus cloud computing statistics, January 2026 |
Enterprises using multi-cloud environments | Over 78% as of 2026 | Codegnan and Calmops cloud trends analysis, 2026 |
GenAI cloud services YoY growth in Q2 2025 | 140% to 180% | Holori cloud market share analysis, 2026 citing Synergy Research |
Healthcare cloud spending growth YoY | 41% highest across all industries | DTP Group cloud computing statistics, February 2026 |
Public cloud as share of total cloud deployment | 55.88% of market share | Fortune Business Insights, January 2026 |
Cloud CAGR 2026 to 2031 | 20.65% | Mordor Intelligence cloud computing market report, January 2026 |
Enterprises with FinOps tools deployed | 57% of large enterprises | Codegnan citing multi-cloud FinOps adoption data, 2026 |
The 98 percent breach statistic and the 31 percent waste statistic, taken together, define the two failure modes that most cloud implementations encounter: they move to the cloud, spend more than they planned, and are less secure than they assumed. The cloud computing companies that deliver genuine business value address both simultaneously: they optimise cost governance and embed security into the architecture from the first resource provisioned rather than treating it as a separate engagement after the bill arrives.
The Six Cloud Migration Strategies: What Your Vendor Should Know Before They Write a Single Terraform File
Most cloud migrations fail to reach their projected ROI not because the technology does not work but because the migration strategy was chosen for the wrong reasons. The fastest strategy is not always the right strategy. The most technically impressive strategy is not always the one that produces the strongest business case. The table below maps the six standard cloud migration strategies, their effort-to-gain trade-off, and when each one is the appropriate choice, grounded in the CloudEagle cloud migration strategy analysis and the Adastra cloud migration methodology documentation.
Migration Strategy | Effort vs Gain | What It Means and When to Use It |
Rehost (Lift and Shift) | Fastest, lowest risk | Application moved to cloud with no changes. Ideal for quick migrations with tight deadlines. Limited cloud-native benefit. Good starting point before optimisation |
Replatform (Lift and Optimise) | Medium effort, medium gain | Selective modernisation during migration: databases moved to managed services, containers added. Balances speed with cloud-native benefit. Most common enterprise approach |
Refactor | Highest effort, highest gain | Application redesigned around microservices, auto-scaling, serverless. Requires the most investment but delivers full cloud-native performance and cost efficiency |
Replace | Strategic, long-term benefit | Legacy application retired and replaced with SaaS alternative. Eliminates technical debt entirely. Requires change management but often lowest long-term TCO |
Retain | Low effort, no cloud benefit | Application stays on-premise for now. Appropriate for stable workloads with compliance constraints or near-end-of-life systems not worth migrating |
Retire | Cost reduction, no migration work | Application decommissioned entirely. A discovery phase typically identifies 10 to 20 percent of applications that can be retired, reducing total migration scope |
The most expensive single decision in a cloud migration is the choice between rehost and refactor for the wrong application type. Rehosting a business-critical application with complex database queries and poor observability into a cloud environment it was not designed for produces the 98 percent breach vulnerability rate and the $100,000 per hour downtime risk without delivering the elastic scaling benefit that justified the migration. Refactoring a stable, low-traffic internal tool that will never need auto-scaling consumes six months of engineering time for zero measurable business outcome. A qualified cloud computing company starts with a discovery phase that maps each application to the right strategy before any infrastructure is provisioned.
Why ReadAuthentic and How We Evaluate
ReadAuthentic publishes independent research on technology and specialist service companies with zero paid placements. Every agency on this list was assessed using publicly verifiable evidence: cloud provider partner directories verified for certification tier accuracy, Clutch review profiles examined for cost reduction and performance improvement language, case studies assessed for specific metric outcomes rather than generic migration completion claims, and FinOps and security practices read from stated service offerings and review narratives. Our evaluation framework follows the ReadAuthentic Score methodology documented in our Python development companies guide, adapted with cloud-specific certification, cost governance, and outcome criteria as the primary filters.
How ReadAuthentic Picks Cloud Computing Companies
Cloud computing companies are among the most difficult to evaluate independently because the outcomes of cloud transformations are rarely made public by the enterprise clients who commissioned them. We compensated for this by weighting the quality of case study outcome language more heavily than review volume, and by treating cloud provider partner tier as a proxy for capability depth that the provider itself has assessed rather than what the agency claims about itself.
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Criterion | Data Source | What It Filters For |
Verified Clutch rating 4.7 plus at 15 plus reviews | Clutch review profiles | Cloud consulting clients are frequently enterprise organisations that rarely leave public reviews. We accepted a lower minimum review count compensated by narrative quality and named client references |
AWS, Azure, or GCP Advanced Partner status | Official cloud provider directories | Advanced, Premier, or Solutions Partner tiers require demonstrated customer success evidence reviewed by the cloud provider, not just a certification. Self-reported cloud expertise without partner status is unverifiable |
Documented cost reduction or performance outcomes | Named case studies with metrics | Percentage cost reductions, migration timelines, uptime improvements, deployment frequency increases. Generic cloud benefits language without numbers was not accepted as outcome evidence |
Multi-cloud or hybrid cloud capability | Portfolio and stack signals | 78% of enterprises now use multiple cloud providers. Agencies that only support one platform leave clients unable to optimise workload placement, cost, and compliance across providers |
FinOps and cloud cost governance practice | Service descriptions and case studies | 31% of cloud spend is wasted on idle or over-provisioned resources. Agencies without FinOps practice are optimising delivery speed while cloud bills grow unchecked. Both matter equally in 2026 |
Cloud security and compliance depth | Certifications and review mentions | 98% of organisations report experiencing a cloud breach in the past two years. Agencies treating security as a separate engagement rather than an embedded practice create the conditions for that statistic |
Post-migration managed services availability | Stated retainer services | Migration is not the destination. Post-migration optimisation, monitoring, and cost governance are where the long-term cloud value is realised. Agencies that stop at go-live hand clients a starting point, not an outcome |
The Companies at a Glance
Five independently evaluated cloud computing companies. Each passed the seven-criterion evaluation. The Cloud Depth column describes each company’s primary verified capability and partnership status, not their full service catalog.
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Company | HQ | Clutch | Rate | Best Context |
Scalefocus | Sofia, Bulgaria / USA | 4.7/5 (36+) | $50-$99/hr | Enterprise digital transformation, 500 plus projects |
Adastra | Toronto, Canada (22 offices globally) | 4.8/5 (20+) | $50-$99/hr | 60% deploy freq up, 70% faster recovery documented |
Caylent | Denver, CO, USA | 4.9/5 (25+) | $100-$149/hr | AWS-native organisations, AI cloud workloads |
Pythian | Ottawa, Canada (global delivery) | 4.8/5 (20+) | $50-$99/hr | Data-heavy enterprise cloud, managed operations |
Geniusee | Berlin, Germany / Kyiv, Ukraine | 4.9/5 (40+) | $50-$99/hr | Startups to enterprise, European cloud compliance |
Detailed Company Profiles
1. Scalefocus
Location | Sofia, Bulgaria (offices in the USA, Germany, Spain, Romania, North Macedonia; 26-country client base) |
Founded | 2012 |
Team Size | 700 plus specialists across cloud, software, DevOps, and AI disciplines |
Clutch Rating | 4.7/5 across 36+ verified reviews; clients include Fortune 500 companies, innovative startups, and established sector leaders |
Hourly Rate | $50 to $99 per hour |
Min. Project | $25,000 |
Cloud Stack | AWS, Azure, GCP, microservices architecture, Kubernetes, DevOps automation, CI/CD pipelines, AI-first development through Scalefocus Codeflow |
Documented Outcomes | 40% cost reduction via private cloud platform for US clinical solutions provider; zero downtime deployment for sports betting platform; 5x faster legacy system connectivity via MuleSoft integrations |
Core Services | Cloud migration and transformation, managed cloud services, DevOps, enterprise AI integration, cloud-native development, application modernisation |
Key Industries | Financial services, healthcare, energy and utilities, iGaming, aviation, IT services, logistics, manufacturing |
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Scalefocus has delivered over 500 projects in 26 countries for more than 300 clients including Fortune 500 organisations, a delivery breadth that reflects an operational model built for consistent quality at volume rather than selective showcase projects. Their 40 percent cost reduction outcome for a US clinical solutions provider, documented in detail on their own case study library and independently cited in cloud migration analyses, is the financial outcome that most directly illustrates the value of choosing a refactoring approach over a lift-and-shift migration when the application is both business-critical and performance-constrained.
The clinical solutions case study describes replacing a monolithic legacy system with a single cloud-based microservice platform using a private cloud architecture, not a public cloud migration. That architectural decision reflects a domain-specific constraint that most cloud agencies miss: healthcare applications handling clinical data in the US operate under compliance requirements that affect where compute can run and how data can be transmitted. Scalefocus designed the architecture around the compliance requirement first, then selected the cloud deployment model that satisfied it. The 40 percent cost reduction was a consequence of the architectural decision, not a FinOps optimisation applied afterward.
Their Scalefocus Codeflow AI-first approach to software engineering, which they describe as integrated into their delivery model rather than offered as a premium service, reflects the 2026 reality that AI-assisted development is becoming a standard delivery expectation rather than a differentiator. For clients commissioning cloud migrations or cloud-native development that will involve AI-powered features alongside the infrastructure work, an agency that treats AI as a native delivery layer reduces the friction of integrating those capabilities later.
2. Adastra
Location | Toronto, Ontario, Canada (22 offices across 8 countries; US, European, and APAC presence) |
Founded | 2002 |
Team Size | 2,200 plus global professionals |
Clutch Rating | 4.8/5 across 20+ verified reviews; cited in multiple 2026 cloud migration company analyses as a top-tier North American provider |
Hourly Rate | $50 to $99 per hour |
Min. Project | $25,000 |
Cloud Certifications | AWS Premier Tier Services Partner, Microsoft Advanced Specialization Partner; 20 plus years of cloud experience across all three hyperscalers |
Documented Outcomes | 60% deployment frequency increase, 70% faster recovery times, and 40% development productivity gains documented in publicly available case study data |
Core Services | Multi-cloud migration, cloud managed services, data platform modernisation, application migration, cloud cost optimisation, AI accelerators for faster delivery outcomes |
Key Industries | Financial services, healthcare, pharmaceuticals, manufacturing, retail, public sector, energy |
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Adastra holds a combination of cloud partnership credentials that very few agencies globally maintain simultaneously: AWS Premier Tier Services Partner and Microsoft Advanced Specialization Partner. AWS Premier Tier is the highest tier in the AWS Partner Network, requiring verified customer success evidence reviewed by Amazon, technical validation across AWS service competencies, and ongoing relationship investment. Microsoft Advanced Specialization is a similarly rigorous credential that requires independent third-party auditing of technical capability and customer outcomes. Holding both tiers at the same time confirms that two of the three largest cloud providers have independently assessed and validated their delivery quality.
The outcome data Adastra publishes, 60 percent deployment frequency increase, 70 percent faster recovery times, and 40 percent development productivity gains, uses the same DORA metric language that the cloud engineering community uses to assess genuine platform transformation versus surface-level migration. Deployment frequency and recovery time are not infrastructure metrics. They are delivery performance metrics that reflect whether the cloud architecture enables the development team to ship faster and recover faster, or simply provides the same delivery velocity in a different physical location. Adastra delivering improvements on both DORA throughput and stability metrics simultaneously is the outcome that distinguishes cloud-native transformation from lift-and-shift migration labeled as transformation.
Their 22-office global footprint serves enterprise clients whose cloud programmes span multiple regulatory jurisdictions. For multinational organisations navigating GDPR in Europe, HIPAA in the US healthcare sector, and industry-specific compliance requirements in financial services and pharmaceuticals simultaneously, a cloud partner with certified practitioners across all three major providers and legal entity presence in multiple countries reduces the compliance coordination overhead that single-country cloud agencies cannot address.
3. Caylent
Location | Denver, Colorado, USA (remote-first global team) |
Founded | 2015 |
Team Size | 100 to 200 AWS-certified cloud engineers and architects |
Clutch Rating | 4.9/5 across 25+ verified reviews |
Hourly Rate | $100 to $149 per hour |
Min. Project | $25,000 |
Cloud Certifications | AWS Premier Consulting Partner; multiple AWS competencies including DevOps, Security, and Machine Learning |
Core Services | AWS cloud architecture, cloud-native application development, AI and ML on AWS, Kubernetes, Infrastructure as Code, platform engineering, security engineering |
Philosophy | AWS-exclusive; human-centered approach with AI-first delivery mindset; cloud innovation over cloud management |
Key Industries | Technology companies, SaaS platforms, AI-native organisations, enterprise digital transformation, high-growth startups |
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Caylent describes their mission as helping organisations drive cloud evolution, a distinction from cloud migration that is commercially significant in 2026. The majority of organisations that moved to AWS between 2018 and 2022 are not migration clients in 2026. They are organisations that are already on AWS and need to evolve what they built during the migration phase into architectures that take full advantage of what AWS now offers: serverless compute, managed ML inference, event-driven integration, and the AI infrastructure that AWS has invested $150 billion in data centre capacity to support. Caylent is positioned for that evolution work rather than initial migration.
Their AI-first delivery mindset, documented across their published case studies and service descriptions, reflects a specific operational commitment: they apply AI tooling to the delivery process itself, not just to the applications they build. For organisations where engineering team velocity is a constraint, an AWS partner that accelerates delivery through AI-assisted code generation, automated testing, and AI-driven infrastructure optimisation produces cloud outcomes faster than teams applying traditional delivery methods to modern cloud tooling.
As an AWS Premier Consulting Partner with multiple AWS competency designations, Caylent operates at the highest tier of the AWS partner ecosystem. Their DevOps, Security, and Machine Learning competencies are independently assessed by AWS and require demonstrated customer success outcomes in each category. For technology companies and AI-native organisations building on AWS whose most complex challenges sit at the intersection of infrastructure, security, and machine learning, Caylent provides a level of AWS-specific depth that multi-cloud generalists rarely reach in any single provider.
4. Pythian
Location | Ottawa, Ontario, Canada (global delivery team across Americas, Europe, and Asia-Pacific) |
Founded | 1997 |
Team Size | 500 plus specialists in cloud, data, and database engineering |
Clutch Rating | 4.8/5 across 20+ verified reviews |
Hourly Rate | $50 to $99 per hour |
Min. Project | $25,000 |
Cloud Certifications | AWS Advanced Tier Partner, Microsoft Gold Partner, Google Cloud Partner; specialist in data platform and database cloud migration |
Core Services | Managed cloud services, data platform modernisation, database migration to cloud, multi-cloud managed operations, cloud security, analytics and AI infrastructure |
Known For | Database-first cloud migration depth; 27 years of data engineering expertise translated into cloud managed services |
Key Industries | Financial services, media and entertainment, retail, healthcare, technology, regulated enterprise |
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Pythian was founded in 1997 as a database administration company. That origin is the fact that most cleanly explains their current competitive position in cloud computing: they bring 27 years of data engineering expertise to cloud migrations where the database layer is the most technically complex and highest-risk component of the migration. For organisations migrating Oracle, SQL Server, MySQL, PostgreSQL, or MongoDB environments to cloud-managed database services, Pythian has encountered the specific failure modes, performance degradation patterns, and compatibility issues of each database migration type more times than any cloud generalist who encounters them for the first time on your project.
Their managed cloud services practice extends well beyond the migration event into the ongoing operations that most cloud journeys underinvest in. Cloud infrastructure without active management drifts: security groups accumulate outdated rules, reserved instance coverage expires without renewal, unused snapshots accumulate storage costs, and monitoring alerts that nobody responds to stop being maintained. Pythian’s managed services model addresses this operational discipline as an ongoing relationship rather than a post-migration afterthought, which is reflected in client engagements that extend for multiple years rather than concluding at go-live.
The combination of database-first migration depth, multi-cloud managed services, and 27 years of institutional data engineering knowledge produces a vendor profile that is particularly relevant for enterprises in financial services, healthcare, and media whose cloud migration complexity is primarily defined by the data layer. For these organisations, the cloud infrastructure is typically the simpler half of the migration. The database migration, the data governance model, the compliance archiving requirements, and the analytics platform integration are where most of the complexity and most of the risk reside. Pythian is built for that complexity.
5. Geniusee
Location | Berlin, Germany (development centres in Kyiv, Ukraine; serving European and US clients) |
Founded | 2017 |
Team Size | 50 to 200 specialists in cloud engineering, product development, and IoT |
Clutch Rating | 4.9/5 across 40+ verified reviews |
Hourly Rate | $50 to $99 per hour |
Min. Project | $10,000 |
Cloud Stack | AWS, Azure, GCP, Kubernetes, Terraform, Docker, serverless, IoT cloud architecture, fintech cloud infrastructure, GDPR-compliant European cloud |
Core Services | Cloud transformation, cloud-native development, IoT cloud platforms, fintech infrastructure, European cloud compliance, managed cloud services |
Known For | European GDPR compliance depth, IoT plus cloud integration, fintech regulatory cloud architecture, startup to enterprise cloud builds |
Key Industries | Fintech, healthtech, IoT, education technology, enterprise SaaS, European regulated industries |
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Geniusee’s 4.9/5 Clutch rating across 40 or more verified reviews is the strongest satisfaction-to-volume ratio of any company on this list by that metric combination. At 40 or more reviews, their rating reflects a delivery model producing consistently excellent client outcomes rather than outstanding individual projects. Their Berlin headquarters with Ukraine development centres gives them the GDPR compliance orientation and European regulatory context that is increasingly important as EU data sovereignty rules shape which cloud providers and which data handling architectures are available to European enterprises.
Their IoT cloud practice is the domain specialisation that most clearly differentiates Geniusee from pure migration and managed services providers. IoT cloud architectures combine device connectivity management, time-series data ingestion at high volume, real-time processing pipelines, and edge computing components that require engineering patterns far beyond standard web application cloud deployment. For manufacturing, logistics, and smart infrastructure clients whose cloud migration includes connected device fleets, Geniusee provides the cloud architecture pattern knowledge that generic cloud migration agencies encounter for the first time on the client project.
Their fintech cloud infrastructure expertise is particularly relevant in the European market, where payment service providers, neobanks, and financial services companies operate under PSD2, DORA (the EU Digital Operational Resilience Act, distinct from the DevOps DORA framework), and EBA guidelines that impose specific requirements on cloud architecture, incident reporting, and third-party vendor risk management. Geniusee has built fintech cloud infrastructure that satisfies these regulatory requirements, which means their cloud architects approach financial services engagements with the compliance constraints as design inputs rather than post-architecture additions.
Questions That Surface Whether a Cloud Company Will Help You Scale or Help You Spend
What percentage of cloud spend reduction has your FinOps practice delivered for clients, and what is your standard FinOps engagement model?
This question separates agencies that treat cloud cost optimisation as a feature from those that treat it as a discipline. Strong answers describe a standard FinOps process: initial spend analysis covering compute rightsizing opportunities, reserved instance coverage gaps, orphaned resource identification, and data transfer cost modelling. Weak answers describe FinOps as monitoring tools the client can configure themselves. With 31 percent of cloud spend wasted globally, a cloud company without an active FinOps practice is optimising your deployment and ignoring your bill.
Walk me through your cloud security approach. How do you embed security into the architecture rather than adding it after migration?
The 98 percent cloud breach statistic reflects an industry that moves infrastructure to the cloud and migrates its security perimeter assumptions alongside it. Cloud-native security means identity-first access control with least-privilege IAM policies applied from the first resource, security group rules reviewed and tightened as part of architecture design, storage encryption enabled by default on every bucket and volume, and vulnerability scanning integrated into the deployment pipeline. Agencies describing cloud security as a compliance review or penetration test at the end of migration are describing security that arrives after the exposure.
What is your process for a cloud readiness assessment and how does it determine your migration strategy recommendation? A cloud readiness assessment should produce an inventory of all applications and infrastructure, a dependency map showing how they connect, an analysis of each application against the six migration strategies, a risk assessment for each migration approach, and a total cost of ownership model for the recommended architecture. Agencies that skip readiness assessment and move directly to migration planning are designing for speed rather than outcomes. The readiness assessment phase is where the $1 million downtime events are prevented, not during the migration itself.
Choose the Cloud Partner That Manages Your Bill as Carefully as Your Infrastructure
The cloud market surpassing $1 trillion in 2026 is a headline. The 31 percent waste figure is the number that determines whether your organisation is contributing to that headline value or capturing it. The cloud computing companies on this list were evaluated not for their ability to migrate workloads to the cloud, which most agencies can do, but for their documented ability to make those workloads perform, stay secure, and cost less over time.
Scalefocus brings 700 specialists and a 40 percent cost reduction case study to cloud transformation across 26 countries. Adastra holds AWS Premier Tier and Microsoft Advanced Specialization simultaneously with 60 percent deployment frequency improvement documented. Caylent delivers AWS-exclusive AI-first cloud engineering with Premier Partner status and machine learning competency credentials. Pythian brings 27 years of database engineering depth to the data layer of cloud migrations that every other agency treats as a solved problem. And Geniusee combines GDPR-native European cloud compliance with IoT and fintech architecture depth from Berlin at $50 to $99 per hour.
For related evaluations using the same ReadAuthentic evidence standard, our top DevOps companies guide covers pipeline engineering that sits alongside cloud infrastructure, our top SaaS development companies guide covers cloud-native product engineering, and our top custom software development companies guide covers full-cycle product delivery.
Frequently Asked Questions
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What is the difference between a cloud computing company and a cloud service provider like AWS or Azure?
Cloud service providers like AWS, Microsoft Azure, and Google Cloud own and operate the data centre infrastructure that cloud computing runs on. They provide raw compute, storage, networking, and managed services that organisations can consume on demand. Cloud computing companies, also called managed service providers or cloud consultancies, help organisations adopt, design, migrate to, and optimise cloud infrastructure from those providers. They provide strategic guidance, architecture design, migration execution, security hardening, FinOps cost governance, and ongoing managed operations that cloud providers typically do not deliver themselves. Choosing the right cloud provider is one decision. Choosing the right partner to implement, secure, and manage your infrastructure on that provider is a separate and often more consequential decision for your actual business outcomes.
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What percentage of cloud spend is typically wasted and how does a cloud company help reduce it?
According to multiple 2026 cloud statistics sources including Softjourn and Finout, organisations waste an estimated 31 percent of their cloud spending on unused or over-provisioned resources. On a modest $500,000 annual cloud bill, that is $155,000 in recoverable waste. The most common sources are idle compute instances running at weekends or overnight, over-provisioned instance sizes selected during migration and never rightsized for actual usage, orphaned storage volumes and snapshots from decommissioned servers, data transfer costs between availability zones that architecture decisions could eliminate, and reserved instance commitments that lapse without renewal. A qualified cloud computing company with a FinOps practice addresses each category through a combination of automated monitoring, scheduled rightsizing reviews, and reserved capacity planning that aligns commitment purchases to actual usage patterns.
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How do I choose between AWS, Azure, and Google Cloud for my business in 2026?
According to Holori cloud market share analysis for 2026, AWS holds approximately 30 to 32 percent of the global cloud infrastructure market, Azure holds 20 to 23 percent, and GCP holds 10 to 13 percent. Platform selection should be driven by workload requirements rather than market share. AWS provides the broadest service catalog and deepest partner ecosystem, making it the strongest default for most use cases. Azure is the natural choice for organisations with significant Microsoft investments in Office 365, Teams, or Dynamics 365, because integration between those services and Azure cloud infrastructure produces operational efficiencies that other clouds cannot replicate. GCP is the strongest choice for organisations with significant AI/ML, data analytics, or Kubernetes-native workloads, because Google invented TensorFlow, BigQuery, and Kubernetes and its cloud services reflect that heritage. Most enterprise organisations end up using all three through multi-cloud strategies, which is why choosing a cloud partner with certified expertise across multiple providers matters.
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What does a typical cloud migration project cost in 2026?
Cloud migration costs in 2026 vary significantly by migration scope, strategy, and agency tier. A straightforward rehost migration of 10 to 20 applications with minimal customisation from a mid-tier agency typically costs $25,000 to $75,000. A replatform migration involving database modernisation, containerisation, and CI/CD pipeline implementation for a mid-market organisation typically costs $75,000 to $200,000. A full refactoring migration redesigning applications around microservices, serverless, and cloud-native patterns for an enterprise organisation typically costs $200,000 to $1 million or more depending on application count and complexity. Ongoing managed cloud services post-migration typically run $5,000 to $20,000 per month depending on infrastructure complexity and service level requirements. Post-migration FinOps optimisation typically reduces cloud spend by 20 to 40 percent within the first 90 days, often substantially offsetting the managed services cost.
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What is FinOps and why is it important in 2026 cloud strategies?
FinOps, short for cloud financial operations, is the practice of applying financial accountability and governance to cloud infrastructure spending. It combines engineering, finance, and business leadership to create visibility into cloud costs, accountability for spend by team and workload, and continuous optimisation to reduce waste and align spending with business value. According to Codegnan cloud statistics for 2026, 57 percent of large enterprises now deploy FinOps tools, reflecting how central cost governance has become to cloud strategy. With 31 percent of cloud spend wasted globally and cloud infrastructure representing 45 percent of enterprise IT budgets, FinOps has moved from an optional best practice to a commercial necessity. Cloud computing companies with structured FinOps practices deliver better total cost of ownership outcomes because they treat cost as an architecture constraint from day one rather than a billing surprise at month end.
