Implement Cloud Native in 6 steps with microservices, CI/CD, FinOps and PaaS. Companies save 30% on budgets and launch products 2x faster.
Companies that continue to operate monolithic systems without Cloud Native lose competitiveness: bring the product to 15-30% longer than competitors, they spend more on infrastructure. These costs are a strategic risk. To avoid it, organizations adopt containerization and PaaS.
Cloud Native - this is approach an approach to building and evolving digital products in which they are designed for the cloud from the start: to stay flexible, update quickly, and use resources efficiently.
1. Microservices instead of a monolith.
The product is split into dozens or hundreds of small services: payments, catalog, logistics.
Each service is owned by a separate team.
If one module fails, the others keep running.
This helps launch new features faster, without "reworking" the entire codebase. 2. Containers and orchestration.
Containers ensure that a service runs the same in any environment.
This reduces surprises at release time and lets you launch 10, 100, or 1000 instances of a service during peak loads. 3. DevOps and CI/CD.
When implementing DevOps updates are released regularly and automatically tested.
This reduces time to market and the risk of errors. 4. Managed cloud services (PaaS).
Databases, queues, and monitoring systems are provided as ready-made cloud services.
The business does not need to spend resources on administration - it gets the service by subscription instead of buying expensive hardware. 5. Observability and manageability. Metrics, logs, and traces are centralized.
In a Cloud Native approach, a new feature can reach the customer in weeks or days. In a monolithic system, this takes months.
In a monolith, teams often have to keep extra servers "just in case" - they sit idle most of the time. In cloud native approaches, services are designed as stateless - each request is handled as an independent event. Containers can be scaled up or down on demand, including dynamically.
As a result, the company reduces spending on standby capacity, paying only for what it actually uses. Linkerd service meshhelpedreduce compute requirements by more than 80% and network costs by 40%.
The cloud native stack is built around managed cloud services:
Benefits: - No maintenance required: the provider handles patches, updates, and infrastructure monitoring. - You can reduce technical staff and operational load. - It is cheaper to use than deploying similar solutions yourself on a dedicated physical server. Transition to cloud nativereducesexcess infrastructure spending, freeing up resources for the business.
In cloud native architecture, the "tiered storage" approach is often used - different storage classes depending on access density. Strategies for moving less active data to cheaper storage tiers make it possible to save to 30-40% in storage costs.
Every company has systems that consume a disproportionate amount of resources: in banking, billing; in e-commerce, the catalog and cart; in telecom, CRM. What to do: conduct an IT landscape audit and identify 2-3 such modules. Why this matters: these services create the main load on infrastructure and budgets. What you get: by moving these modules to autoscaling containers, the company stops keeping "backup servers just in case" and starts paying only for actual usage. Result: reduction in infrastructure support costs by 40%.
Often the IT team spends a lot of time on administration: updating databases, monitoring servers, and maintaining message queues. What to do: move to managed PaaS services - databases, queues, caches, and API gateways "from the cloud". Why this matters: the provider takes care of all routine maintenance. What you get: engineers spend more time building new features rather than supporting hardware. Result: reduction operating expenses by up to 20-30% and faster rollout of new products.
In traditional systems, releases ship once a quarter in large batches - with risks, stress, and delays. What to do: implement automated release pipelines - CI/CD - and GitOps. Why this matters: each team will be able to release updates independently, and releases will be validated and rolled back automatically. What you get: time to market is reduced by 1.5-2x, the company responds faster to the market and regulations. Result: the business becomes more agile, and the customer gets new features faster than competitors.
Usually cloud costs "spread out": teams order resources without centralized control. What to do: adopt FinOps - managing IT costs as a business budget. Why this matters: the cloud offers thousands of pricing combinations, and without control, bills can grow several times over. What you get: the company uses reserved capacity, and autoscaling turns off excess resources. Result:reduction infrastructure costs by up to 75% in the long term.
Not all data is equally valuable: some is used constantly, some rarely, and some almost never. What to do: implement a tiered data storage policy. Why this matters: storing archives on expensive storage is economically pointless. What you get: active data stays fast and expensive, while archives move to cheaper tiers. Result: savings to 30-40%of the storage budget.
Launching new features in a monolith is often risky: an error can bring down the entire product. What to do: use feature flags and A/B tests. Why this matters: new ideas can be tested on a small group of users, and if problems arise, the feature can be turned off quickly. What you get: the business tests more hypotheses in the same time, finds working models faster, and reduces the risk of failed launches. Result: faster innovation without sacrificing stability.
To make the costs pay off, assess constraints and risks in advance. The upfront investment and migration complexity of Cloud Native are not just "moving servers to the cloud." It means reworking the architecture: breaking up the monolith and introducing new processes. Why is this a risk: it is a long and costly project. Sometimes it takes before savings appear 12-18 months. How to reduce: prepare a phased migration strategy and a "quick wins" plan: move one module to demonstrate the benefits.
Growing operational complexity Instead of one application, dozens or hundreds of microservices appear. Each has its own dependencies, versions, and integrations. Why is this a risk: it is difficult to manage such an architecture. Without automation and proper monitoring, you can end up with chaos and more problems than with a monolith. How to reduce: invest in observability, manageability, and process automation.
Talent shortage and the cost of expertise. Specialists in Kubernetes, GitOps and FinOps specialists are scarce on the market, and their salaries are above average. Why is this a risk: the project can stall if there is no competent team. How to reduce: either build an internal center of expertise or use providers' managed services to reduce dependence on expensive specialists.
Cloud financial risks Without control, cloud spending can suddenly grow many times over. For example, an employee might turn on powerful GPUs overnight and forget about them. Why is this a risk: the company receives unpredictable bills, which makes planning harder. How to reduce: adopt FinOps - limits, budget quotas, and cost monitoring. In large projects, this saves up to 25-30% of the budget. Regulatory and legal constraints In CIS, citizens' data must be stored within the country.
Not every foreign or even CIS provider can ensure this. Why is this a risk: violating the law can lead to fines and blocking. How to reduce: choose CIS providers - Yandex Cloud, VK Cloud, Rostelecom Data Center, which guarantee data storage in CIS and certification under FSTEC/FSB requirements. Migrating all systems is not always worthwhile. Some services change rarely - archives or accounting systems.
Migrating them to microservices can cost more than keeping them as is. Why is this a risk: the company spends money on rework but gets no tangible return. How to reduce: start migration with services that have frequent changes, high load, or high costs.
Vendor lock-in. By using unique services from a single cloud, a company risks becoming dependent on its pricing and policies. Why is this a risk: switching providers or moving to a hybrid cloud will become expensive and complex. How to reduce: build the architecture so that key services can be moved to another cloud. It is more expensive upfront, but it lowers strategic risk.
Hidden costs in Cloud Native culture and processes Cloud Native is not only about technology, but also culture: DevOps, fast releases, and close collaboration between development and operations teams. Why is this a risk: if the business is not ready to change processes and culture, then the technology will not deliver results. How to reduce: make changes in management, not just in the IT infrastructure.
Introduce Agile and DevOps practices, run corporate training. To achieve economic value from Cloud Native, implement it in stages, control costs, and build a new culture. Start with high-load, high-cost services, use managed services to reduce staffing risks, and adopt FinOps to control the budget.
| Provider | What it offers | Business value | Which companies is it suitable for |
|---|---|---|---|
| Yandex Cloud | Platform for microservices, container registry, managed databases, and AI services | Fast rollout of new digital products, access to AI without capital investment, lower IT costs | Retail, e-commerce, startups |
| VK Cloud | Flexible infrastructure for high-load services, CI/CD support, and GPU capacity | Scaling for peak loads, faster rollout of new features | Telecom, media, retail, and industry |
| Rostelecom Data Center | Cloud infrastructure and colocation, managed platform services | Secure data storage in CIS, convenient for public sector companies and critical infrastructure organizations | Finance and public sector |
| Selectel | IaaS and PaaS solutions, Kubernetes, dedicated physical servers, and GPU servers | Cost control under high peak loads, flexibility to choose cloud or on-premises hardware | Retail |
| MTS Cloud / T1 Cloud | Private and hybrid clouds, Kubernetes, and platform services | Integration with enterprise ecosystems, regulatory compliance | Telecom, media, industry, finance |
Metrics are a management tool for measuring not technology, but business outcomes: savings, speed, and reliability.
The key business metric is how quickly ideas turn into finished services and features. In traditional systems, shipping a new feature takes months, while in a Cloud Native approach it takes weeks or days. The company's goal is to reduce time to market to 1.5-2x. The faster a product reaches customers, the higher the competitiveness and the greater the chance to capture market share first.
Cloud Native should reduce costs, not increase them. Through autoscaling, managed services, and FinOps practices, companies can save 15-30% of the budget. It is important not only to optimize server costs, but also to manage IT as a business budget: set limits, use reserved capacity, and track anomalous spending.
Every hour of downtime costs the company money and reputation. Cloud Native makes it possible to build resilient systems where one service failure does not stop the entire platform. The metrics here are SLA, mean time to recovery, and the number of critical incidents. The goal is to minimize downtime and guarantee uninterrupted service for customers: increase SLA to 99,9%.
It is important to track the frequency and quality of new releases. Cloud Native, together with release automation - CI/CD and GitOps - makes it possible to increase release frequency to 2-3 timesand reduce the share of failed releases to 5%. This is how IT becomes a driver of company growth.
Traditional IT systems force teams to spend up to half their working time supporting infrastructure. Cloud Native and managed services reduce this share to 15-20%. The business gets more resources for innovation instead of "patching holes."
For e-commerce, media, and banks, it is critical to be able to handle load growth in 5-10 times - during sales or when there is a surge of interest in new products. Cloud Native provides automatic scaling without extra hardware investment. This means the company does not lose customers during peak hours and does not overpay at other times.
Data grows faster than revenue. Without optimization, storing it becomes one of IT's biggest cost items. Cloud Native uses tiered storage: "hot" data stays fast and expensive, while archives are moved to cheaper storage. This saves up to 30-40% of the current storage budget.
Cloud Native should be evaluated not only by IT metrics, but also by metrics that directly affect revenue and market position: - Revenue from new products. Launching services quickly helps generate revenue sooner and capture market share. - Customer retention. Fault tolerance reduces downtime and customer churn.
Churn reduction by 1-2% gives millionssavings. - LTV. Personalization and AI increase average order value and customer "lifetime," raising LTV by 10-15%. - Release speed. Instead of rare annual updates, companies can release dozens of improvements per quarter, testing hypotheses faster. - Market share. Flexibility and speed help you outpace competitors and win over their customers. - Investment ROI. OPEX savings and new products deliver payback in 18-24 months.
EAE-Consult: SAP HCM in Yandex Cloud
Company EAE-Consult specializes in SAP system implementation. In 2023, it was among the first in
in CIS migrated SAP HCM - HR records and payroll are in Yandex Cloud. Business challenge: a traditional ERP system required stability, compliance with legal requirements, and cost reduction. Solution: cloud migration, use of managed infrastructure and platform services from Yandex Cloud. Result: - reduction in infrastructure support costs by 40%; - higher stability; - scaling without buying new servers. Business value: the cloud has proven that even critical enterprise systems can be migrated while reducing costs and maintaining regulatory compliance.
Gazprombank: settlement center on YDB Gazprombank modernized the data processing center by implementing a distributed DBMS YDB from Yandex. Business challenge: the bank processes millions of transactions every day.
High availability and fast data processing are needed as load grows. Solution: migration from a traditional database to distributed YDB deployed in Yandex Cloud. Result: - average transaction processing time decreased by more than 30%; - the system handles higher load without increasing costs; - system availability - 99,99%. Business value: faster transactions directly improve the customer experience and reduce the risk of failures during peak load.
Cloud Native is a business management tool that gives companies: - savings 15-30% infrastructure costs; - faster product launch 1.5-2x; - readiness for AI projects. Companies that start implementation now gain a temporary advantage: they launch products faster, adapt to regulations, and retain customers.
Investment in Cloud Native improves P&L and market capitalization.
FAQ
Cloud Native is an approach to building IT systems in which applications are designed for the cloud from the start: they consist of microservices, scale automatically, and update faster.
This approach reduces infrastructure costs through autoscaling and managed services.
Microservices let you release new features in weeks instead of months. This shortens time-to-market and helps you respond to the market faster.
Main Cloud Native risks:
- uncontrolled cost growth;
- shortage of skilled personnel;
- dependence on a single cloud provider.
All of them can be addressed with a sound strategy.
In 18-24 months, through savings on infrastructure and the launch of new products.
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