Konstantin Zolotarov

Security is often treated as something that can be handled later, once the product is already working. In practice, most issues do not come from something obviously broken, but from decisions that seemed reasonable at the time. A shortcut in authentication, a loosely defined access rule, an integration added without much thought about data exposure. […]

The conversation around cloud providers has shifted fundamentally. If you asked a founder back in 2023 how they chose their stack, the answer usually revolved around free credits or which database their CTO liked best. Fast forward to 2026, and the landscape is unrecognizable. Today, infrastructure is no longer just a background utility: it is […]

Most software projects do not fail because of poor engineering. They fail because the capital runs out before the product reaches the market. Budgeting for software is difficult because you are not purchasing a fixed commodity. Instead, you are investing in a system of variables where unknowns are part of the architecture. When a budget […]

Most SaaS products don’t struggle with a lack of data. If anything, they already collect more data than they can realistically use. By the time a product gains traction, dashboards are already full, events are tracked across multiple tools, and new data keeps coming in every day. It often feels like everything needed for decision-making […]

In the modern digital workspace, we are not exactly suffering from a lack of data. If anything, we have too much of it. Between Jira tickets, Notion pages, Slack archives, and thousands of PDFs, the collective intelligence of a company is often buried under layers of digital noise. Statistically, employees spend nearly 20% of their […]

Mobile applications have become a central part of many digital products, especially for SaaS platforms and customer-facing services. Companies rely on mobile tools to deliver services, collect data, and interact with users in real time. As a result, mobile apps often handle sensitive information such as personal data, authentication credentials, and financial details. As discussed […]

Machine learning discussions often focus on models first. Engineers compare algorithms, test neural networks, and evaluate different training frameworks. While these topics matter, they rarely determine whether a system performs well in practice. The real difficulty usually appears earlier, when raw operational data must be prepared for modeling. Logs generated by applications, transaction records stored […]

Legacy software modernization refers to the process of updating existing software systems so they can work with modern technologies, infrastructure, and integrations without rebuilding the entire product. Many companies start legacy software modernization when existing systems begin slowing development, limiting integrations, or increasing maintenance complexity. Systems that were originally built to solve immediate business needs […]