Launching a new platform
We design the domain model, API, data storage and release outline before development begins. We build the first release around critical scenarios, and not around the maximum list of functions.
We start with the load and critical scenarios: we fix the SLO, architecture, migration plan and launch outline. Then we implement the changes, test them under load and pass on clear support regulations to the team.
We work with systems where errors at their peak mean lost orders, inaccessible accounts, integration failures or manual team work.
At the first meeting we discuss the product, users, integrations and limitations. After this, we offer one of three understandable scenarios.
We design the domain model, API, data storage and release outline before development begins. We build the first release around critical scenarios, and not around the maximum list of functions.
We find points where seconds and money are lost: heavy queries, synchronous integrations, one database, lack of cache or transparency. We change the system step by step, maintaining the functionality of the product.
We check real user flows, fix SLOs, build a test profile and issue a technical plan with priorities, risks and implementation assessment.
Not sure which scenario is right? Let's start with a technical analysis, and not with selling a stack.
We select technologies after load scenarios. In the project we fix the boundaries of components, data, degradation of services and a method of safe release.
API contracts, background tasks, idempotency, rate limiting and isolation of heavy operations.
Storage model, indexes, cache, queues, replication and consistency rules for critical operations.
CI/CD, infrastructure, metrics, logs, tracing, alerts and a clear procedure for action in the event of an incident.
We fix technical decisions before development begins and test them in measurable scenarios, and not after an incident in production.
We show not abstract technologies, but the context: what product was built, what systems were connected and what was in the technical circuit.
React/Next.js, Laravel API, Redis, queues, CDN and warehouse integrations. The platform combines the store, admin area and sporting events.
A single loop for deals, tasks, telephony and marketing channels with roles, analytics and integrations via REST API.
Cloud platform with Node.js and Python backend, PostgreSQL, Redis and API for integration with CMS and external services.
Signs that the architecture needs to be changed before the next peak in demand.
Read →How to prepare scenarios, metrics and data for a technical solution.
Read →How to choose the path of backend modernization without fashionable but dangerous rewriting.
Read →Relevant cases: e-commerce, ERP, SaaS and platforms where server architecture, data and integrations were part of the result.

Road to the Dream: youth online store for clothing and sports events by Igor Voitenko. High load (up to 1 million visitors/sec), AI logistics, React frontend, Laravel backend.
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Photobank of road construction projects for a large company. Uploading and storing photos. Implementation in Django and React + Apollo.
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CRM + website on 1C-Bitrix to automate the work of a premium real estate agency: smart catalogue, filters, IP telephony, AI, blog and automation for realtors.
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AI2Media is an innovative cloud platform for automating the collection, analysis, generation and promotion of media content using artificial intelligence. Integration with WordPress, Bitrix, GPT, API for export, network of bots for auto-exporting.
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EDAIS is a multibot platform in Python: automation of posting, registration, generation and publication of content for companies and individuals. Flexible antidetect and smart algorithms based on AI.
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Modernization of MIS Bars and implementation of integration with the regional bus for automated search of medical services and coupons.
Learn more →Select the initial situation and trigger loop. In response, we will prepare a scope of work, risks, deadlines and a commercial proposal.