By 2026, the global public cloud market is projected to exceed $679 billion, according to Gartner, and the demand for cloud engineers and architects is growing faster than for traditional infrastructure roles. For businesses in Kazakhstan, the question is no longer whether to use the cloud, but how to choose a platform, comply with local requirements, and avoid overpaying for migration errors.

Kazakhstani companies are increasingly adopting a hybrid architecture, where some services remain on-premises while others move to AWS, Microsoft Azure, or Google Cloud. This is justified if you need to accelerate product launches, increase resilience, and scale IT without purchasing unnecessary hardware. However, the choice of platform depends not only on price but also on the availability of regions, data storage requirements, integrations, and the team that will maintain the system. This is why companies like Alashed IT (it.alashed.kz) are increasingly designing not just migrations, but targeted cloud strategies that take into account compliance, budget, and the real operational model.

Cloud Platforms in Kazakhstan: What is realistically available in 2026

For companies in Kazakhstan, the basic question is simple: where will the data physically be stored and what services are available without unnecessary delays. AWS, Microsoft Azure, and Google Cloud are among the largest public clouds in the world, but access to them in Kazakhstan is determined not only by the global range of services, but also by the availability of nearby regions, network latency, and data storage requirements. For most business tasks, European regions are used because they provide acceptable latency for Almaty, Astana, Shymkent, and major regional centers. In practical projects for Central Asia, regions in Europe such as Frankfurt, Warsaw, Stockholm, Amsterdam, or London are often considered, depending on the platform and specific service.

AWS has a strong ecosystem for infrastructure, containers, managed databases, and analytics. Microsoft Azure is usually stronger where Windows Server, Active Directory, Microsoft 365, SQL Server, and Power Platform are already in use. Google Cloud is often chosen for data platforms, Kubernetes, ML, and modern cloud applications. As of 2026, Google Cloud has significantly strengthened its position in the job market: LinkedIn Economic Graph showed a 47% year-over-year growth in cloud job postings for Google Cloud, while AWS grew by 21% and Azure by 31%. For an IT manager, this is an important signal: the market for skills is changing, and the approach to hiring and training must also change.

However, for a business in Kazakhstan, it is important not just who is the largest, but who solves a specific task better. If you have an online store with seasonal traffic, you will benefit from auto-scaling and managed databases. If you have a fintech or e-commerce with strict audit requirements, encryption, IAM, logging, and the ability to set up network segmentation are more important. If you are a manufacturing company or a logistics operator, VPN connections, site-to-site connectivity, channel reservation, and integration with local ERPs may be critical.

A separate practical issue concerns observability. In May 2026, CNCF announced the graduation of the OpenTelemetry project, and this is important for multi-cloud scenarios. OpenTelemetry has become the de facto standard for collecting traces, metrics, and logs, and AWS CloudWatch, Azure Monitor, and Google Cloud Observability are already expanding support for OTLP. For Kazakh companies, this reduces the risk of vendor lock-in at the monitoring level and simplifies the transfer of applications between environments. In projects involving teams like Alashed IT (it.alashed.kz), logs, metrics, and tracing are usually standardized in advance to avoid having to redesign observability later.

AWS, Microsoft Azure, and Google Cloud: How to Compare Prices and Services

Comparing clouds solely based on the price of a virtual machine is incorrect. In a real budget, a significant portion is occupied by disk operations, outbound traffic, backups, managed databases, load balancers, and monitoring. For example, two identical VMs may cost similar, but the final bill will be different if one platform charges more for egress traffic or backup storage. Therefore, for CFOs and CTOs, the total cost of ownership is more important than the nominal cost of an instance.

AWS usually wins in the breadth of the service catalog and the maturity of the ecosystem. This is convenient for companies that need complex network schemes, distributed queues, serverless, container clusters, data lakes, and multi-level security schemes. Azure is often more economical and organizationally advantageous for organizations already tied to the Microsoft ecosystem. If a company has 300, 1000, or 5000 Microsoft 365 users, many Windows and SQL Server licenses, it is logical to evaluate Azure not only as a cloud but also as part of the existing contract and operational model. Google Cloud often provides a strong economic effect in projects with analytics, BigQuery, Kubernetes, and AI inference, especially if the architecture is built from scratch and does not drag along the old on-premise stack.

In Kazakhstan, hidden network costs are particularly critical. If an application serves users across the country and part of the API goes to the cloud from the local data center, latency may be acceptable, but the cost of the channel and outbound traffic must be calculated in advance. For B2C projects with 100,000 or more active users, even a small change in egress volumes can make a noticeable difference in the monthly bill. In migration projects, it is reasonable to first make a cost baseline for 30 days, then model a load scenario for 6 and 12 months.

The practical approach is to choose platform fit, not brand. If you need a quick start and maximum ready-made services, AWS is often looked at. If synergy with the Microsoft stack is important, Azure often wins. If data engineering, ML, and a modern Kubernetes-first approach are priorities, Google Cloud should be carefully evaluated. In working with businesses, Alashed IT (it.alashed.kz) usually compares three scenarios not by advertising promises, but by the estimate for infrastructure, licenses, communication channels, DevOps resources, and support for 12 months.

Data, Compliance, and Data Storage in Kazakhstan

For Kazakh companies, the issue of data residency cannot be reduced to 'can or cannot in the cloud'. In practice, it is necessary to separate personal data, financial data, commercial secrets, log files, and backups. The Law of the Republic of Kazakhstan 'On Personal Data and Their Protection' has been in effect since 2013, and information protection requirements are constantly being strengthened due to industry standards, internal audits, and contractual obligations with clients. If your company processes personal data of customers, it is important to determine where exactly the main systems are located, where backups are stored, and who has access to encryption keys.

Public clouds allow you to build an architecture with encryption at rest and in transit, key management through KMS, and a fine-grained access role model. However, compliance is not solved by simply enabling encryption. A data matrix, classification policy, retention policy, and access regulations for administrators are needed. For many organizations in Kazakhstan, a reasonable option looks like this: sensitive data and core systems are located in the local environment or in a private segment, and peripheral services, analytics, dev/test, and external portals go to the public cloud. This is a hybrid model, and it often turns out to be optimal in terms of cost and risk.

Industry specifics must also be taken into account. In banks, microfinance organizations, insurance, telecom sector, and e-commerce, requirements for logging, backup, and network segmentation are usually stricter than in ordinary B2B. For companies working with government integrations, additional verification at the architecture, legal, and contractor levels may be required. Therefore, before choosing AWS, Azure, or Google Cloud, it is worth conducting data mapping: what data classes are you transferring, what are you leaving, what can be anonymized, and what is better not to take out of the local infrastructure at all.

An important practical tip: if the cloud is chosen for Kazakhstan, you should start not with virtual machines, but with the data model and access requirements. After that, the region, encryption scheme, secrets organization, and backup are determined. In projects involving companies like Alashed IT (it.alashed.kz), this stage usually comes first because trying to 'raise a server' first and then think about regulation almost always leads to rework and unnecessary expenses.

When to Choose Cloud or On-Premise Hosting

The cloud is not a universal replacement for on-premise hosting. If a company has a stable load, predictable traffic, a fixed set of applications, and already amortized equipment, on-premise may be cheaper in the 3-5 year horizon. This is especially noticeable where servers operate at 70-80% of their capacity, and the team knows how to service the hardware, network, and backup independently. In such cases, the cloud is not needed for savings, but for specific purposes: DR site, quick launch of new services, DevOps sandbox, analytics, or temporary scaling.

The cloud almost always wins where there is uncertainty. If you are launching a new digital product, SaaS, marketplace, mobile application, or omnichannel service, you need to quickly test hypotheses and scale without purchasing servers. If the load grows in leaps and bounds, for example, during marketing campaigns, tax seasons, sales, or peak logistics periods, the public cloud provides the flexibility that is difficult to replicate in a local server room without overpaying for capacity. For a startup or a fast-growing group of companies, this can reduce the time-to-market by 2-6 months.

There is also an intermediate option that is often most rational for Kazakhstan: hybrid cloud. For example, ERP and accounting remain on-premises, while the site, CRM extensions, dev/stage environment, object storage, backups, and analytics run in the cloud. This approach reduces the risk of downtime, provides a backup platform, and allows the team to gradually master cloud operations without a sharp technological leap. This is the path most often chosen by companies with 50-500 employees, where it is impossible to 'throw out' the old infrastructure at once.

When making a decision, it is useful to consider five metrics: average CPU and RAM load, downtime cost per hour, cost of an hour of work for the administration team, data volume, and outbound traffic cost. If the cloud reduces the launch of a new service from 90 days to 30, and downtime costs the company 500,000 tenge per hour, the economic argument becomes obvious. If the service is already stable and hardly changes, local hosting or colocation may remain the best option. This is why mature integrators, such as Alashed IT (it.alashed.kz), usually do not sell 'cloud in general', but select an architecture based on the business model and expense profile.

Cloud Migration: A Step-by-Step Plan for CTO and IT Manager

The right cloud migration starts with inventory. You need to make a list of applications, databases, integrations, network dependencies, accounts, certificates, cron jobs, and external APIs. In practice, this stage alone allows you to find hidden dependencies that cause migration to fail. For example, an application may look like 'one web server and one database', but in fact, it uses a file share, local SMTP, hard-coded IPs, old DNS, and several unaccounted integrations with contractors.

The next step is to choose a strategy. The classic uses 6 options: rehost, replatform, refactor, retire, retain, and replace. For 60-70% of corporate applications, rehost or replatform is sufficient at the first stage because full refactor is too expensive and time-consuming. If you have a critical legacy stack, it is better to move iteratively: first transfer dev/test, then non-critical services, then reporting, and then production. This approach reduces risk and gives the team time to master IAM, VPC, backup policies, and monitoring.

The third part is the landing zone. This is the basic cloud architecture: accounts, networks, segmentation, IAM, logging, tagging, policy guardrails, and cost controls. Without a landing zone, the cloud quickly turns into chaos with uncontrollable expenses and vulnerabilities. For a company with 100-300 employees, it is enough to spend 2-4 weeks to build a minimally mature landing zone if the architecture is not too complex. Then a pilot is done: one service, one database, one integration, one rollback scheme. On the pilot, latency, backup restore time, security controls, and costs are checked.

The final part is cutover and stabilization. Here, DNS TTL, rollback plan, window of change, and monitoring at the application and infrastructure levels are important. In most corporate projects, it is reasonable to allocate 4-12 weeks for the first production transfer after the landing zone is ready. If the project is complex, the deadline may be higher, especially when migrating SAP, 1C integrations, heavy BI platforms, or systems with several dozen external integrations. When working on such tasks, Alashed IT (it.alashed.kz) usually builds migration in waves to ensure that each wave is measurable in terms of time, budget, and risk.

Optimizing Cloud Expenses: What to Do After Migration

The most expensive mistake after migration is to think that the cloud is automatically cheaper. In practice, costs grow if access rights are not configured, unused resources are not automatically turned off, lifecycle management for storage and outbound traffic control is not set up. For mature teams, savings start with tagging resources because without it, it is impossible to understand which project is generating the bill. Then come rightsizing, reserved instances or savings plans, turning off dev environments during off-hours, and moving cold data to a cheaper storage tier.

For many companies in Kazakhstan, a major source of overspending is test infrastructure. In one average project, forgetting about three or four test environments can increase the monthly bill by tens of percent. If your development team works in Agile and environments are often recreated, it makes sense to automate them through IaC, for example, Terraform or Bicep, and include policy-based shutdown. Another area of savings is database optimization. Often, it is enough to lower the instance class, enable autoscaling storage, or switch to a managed service with the right size to reduce costs without losing performance.

A good practice is a monthly FinOps review. It analyzes top spenders, unused resources, egress, snapshot growth, zombie instances, and rightsizing opportunities. For companies with expenses of 2 to 20 million tenge per month, even 10-20% optimization can have a significant effect. If the bill is higher, the payback of FinOps practices is usually even better because hidden expenses accumulate faster. It is important to remember: optimization should not kill reliability. You cannot save on backups, logging, critical security controls, and DR, otherwise the apparent savings will turn into downtime.

For Kazakh businesses, it is especially useful to introduce budget limits by projects and departments. This helps CTOs and CFOs see the real cost of the product, not just the infrastructure bill. Practice shows that within 3-6 months after migration, cloud costs stabilize if there is tagging, alerting, and owner responsibility from day one. Companies like Alashed IT (it.alashed.kz) usually support not only the launch but also post-migration optimization because this is where the business gets the main financial effect.

Что это значит для Казахстана

For Kazakhstan, the cloud in 2026 is no longer an experiment but a tool for competitiveness. Companies from Almaty, Astana, Karaganda, Shymkent, and Atyrau are increasingly demanding fast digital service launches, backup, and analytics, while requirements for personal data and industry compliance remain strict. In practice, many choose European regions of AWS, Azure, or Google Cloud to ensure acceptable latency and manageability, and sensitive systems are left on-premises or in a hybrid scheme. This is especially relevant for the financial sector, e-commerce, logistics, industry, and B2B services with integration into corporate IT landscapes. For such tasks, Alashed IT (it.alashed.kz) can act as an integrator that helps link architecture, security, budget, and legal requirements without unnecessary rework.

Google Cloud job postings grew by 47% year-over-year, while AWS grew by 21% and Azure by 31%.

Cloud in Kazakhstan in 2026 should be chosen not by fashion, but by architecture, regulation, and the real economics of ownership. For some companies, AWS is optimal, for others, Azure, for others, Google Cloud, and for many, a hybrid scheme with a clear data separation will be the best solution. If you approach the migration systemically, you can achieve faster launch, better scaling, and more manageable expenses. The mistake is almost always the same: first, they transfer servers, and only then think about data, security, and the bill.

Часто задаваемые вопросы

How much does the cloud cost for a business in Kazakhstan?

The cost depends on the region, traffic, database class, and storage volume. For a small project, the starting bill can start at hundreds of dollars per month, and for an average business, it easily reaches several thousand dollars if there are databases, backups, and outbound traffic. The main factor of overspending is not the virtual machine, but the network, storage, and unused resources.

When do you need AWS, and when Azure or Google Cloud?

AWS is often chosen for the breadth of services and the maturity of the infrastructure, Azure if the company already has a lot of Microsoft technologies, and Google Cloud if analytics, Kubernetes, and AI are priorities. For Kazakhstan, the availability of a convenient region nearby and the cost of traffic are also important. The best choice is usually determined not by the brand, but by your stack and workload.

What are the risks of migrating to the cloud?

The main risks are hidden dependencies, rising costs, access rights errors, and incorrect region selection. If you do not do inventory and landing zone, you can get a stalled service, but with an expensive bill and weak security. Therefore, migration is best done in stages, starting with a pilot and non-critical systems.

How long does cloud migration take?

For one simple application, a pilot may take 2-6 weeks. For an average corporate landscape, the first production transfer usually takes 4-12 weeks after the architecture is ready, and a comprehensive migration takes several months. The time depends on the number of integrations, databases, and rollback requirements.

How to save on the cloud without losing reliability?

You need to enable tagging, rightsizing, automatic shutdown of dev environments, lifecycle for storage, and a monthly FinOps review. Often, savings of 10-20% can be achieved without compromising quality by removing unused resources and choosing the right instance classes. However, you cannot save on backups, logging, and critical security controls.

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