An in-depth look at the current challenges in managing web traffic and why traditional approaches often fall short.
Today's web traffic is complex and diverse. It's not just human users accessing your websites and APIs from mobile apps; a significant portion comes from various types of bots. This creates a challenging environment for businesses to navigate.
Bot Dominance: Over 50% of website and API traffic typically comes from bots. These range from beneficial bots (like search engine crawlers) to malicious ones designed to scrape data or find vulnerabilities.
Lack of Visibility: Many teams, especially those dealing with complex Kubernetes and autoscaling setups, lack full visibility into their traffic. This blindspot can lead to inefficiencies and security risks.
Incomplete Data: Logs from cloud load balancers often lack full context. This leaves gaps in understanding user journeys and bot behaviours, making it difficult to make informed decisions.
Cost Inflation: Uncontrolled bot traffic leads to unnecessary spinning up of instances and inflated cloud bills. Businesses end up paying for resources consumed by non-human traffic.
Security Vulnerabilities: Bots routinely probe for vulnerabilities in websites and APIs. Without proper traffic control, these activities can be mistaken for DDoS attacks or go unnoticed until it's too late.
API Wonderland: Your APIs are a playground for scrapers, hackers, data thevies and scammers. Formatted responses make pasing easy, and Javascript based Bot control is useless.
Many current traffic management solutions struggle to address these challenges effectively:
Failing to address these traffic challenges can have serious consequences:
In this environment, traditional traffic management approaches are no longer sufficient. Businesses need intelligent, proactive solutions that can handle the complexity of modern web traffic, optimising for both performance and security.
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