Kovendo

Did you know that over 40% of internet traffic is generated by bots , many of which attempt malicious activities like brute-force attacks, scraping, and API abuse? This is where rate limiting becomes a critical defense mechanism. Imagine you own a popular online store. Suddenly, your login system starts receiving thousands of requests per second. Some are real users, but many are bots trying to guess passwords. Without control, your system slows down—or worse—crashes. This is not just a performance problem; it’s a cybersecurityrisk . Rate limiting is a technique used to control how many requests a user or system can make within a certain time frame. It plays a vital role in API security, system stability, and fair usage enforcement . In this blog, we will move step-by-step—from basic concepts to advanced system design—so you can not only understand rate limiting but also implement it effectively in real-world applications . What is Rate Limiting?  At its core, rat...

Global Market Impact: The global autonomous agents market was valued at USD 5.05 billion in 2023 and is projected to grow at a CAGR of 44.8% through 2030, signaling a massive shift in corporate automation. In the rapid evolution of technology, specially in artificial intelligence , we have hit a turning point. For years, we interacted with software as passive tools. If you wanted a result, you had to provide every input. But recently, the narrative has shifted from chatbots to Artificial Intelligence Agents . The reason for this sudden explosion in interest is simple: autonomy. We are moving from a world where we "use" AI to a world where we "delegate" to AI. An ai agent doesn't just process a command; it understands an intent and creates its own path to reach the goal. Whether it is managing a supply chain or triaging customer support, these systems are redefining the "intelligent" in intelligent agent in ai . ...

A recent industry report shows that companies using advanced analytics are 23% more likely to outperform competitors in profitability. This highlights the growing importance of smarter data modeling techniques in sales. One such powerful approach is the Mix Effect Model, which helps businesses extract deeper and more accurate insights from complex sales data. What is a Mix Effect Model? A Mix Effect Model is a statistical method that combines fixed effects and random effects to analyze data that contains multiple levels of variation. In simple terms, it helps you understand both overall trends and group-specific differences at the same time. Fixed effects represent consistent, global relationships (e.g., how price affects sales overall). Random effects capture variations across groups (e.g., differences between stores, regions, or time periods).   Basic Example of a Mix Effect Model Imagine you are analyzing sales across multiple stores. A t...