Current Challenges in Web Traffic Management

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.

Key Challenges:

1. 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.

2. 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.

3. 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.

4. Cost Inflation: Uncontrolled bot traffic consumes compute, database, search, API, and bandwidth capacity. Businesses end up paying for origin work that should not have reached the application.

5. 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.

6. API Exposure: Structured API responses are easy for scrapers, attackers, data thieves, and scammers to parse. JavaScript-only bot controls do not protect these routes.

Why Traditional Approaches Fall Short

Many current traffic management solutions struggle to address these challenges effectively:

• Limited Scope: Traditional solutions often focus on specific aspects (like DDoS protection) without providing comprehensive traffic control.
• Lack of Intelligence: Many systems can't differentiate between good bots, bad bots, and human users effectively.
• Reactive Nature: Most solutions are reactive, responding to issues after they occur rather than proactively managing traffic.
• Scalability Issues: As traffic volumes grow, many traditional solutions struggle to keep up without significant cost increases.
• Each application is unique: Each application has unique challenges, issues and implementations requiring custom configurations and a depth of understanding across the stack.

The Stakes Are High

Failing to address these traffic challenges can have serious consequences:

• Inflated Operational Costs: Unwanted automated traffic creates avoidable origin work and higher cloud bills.
• Degraded User Experience: When origin capacity is consumed by bot traffic, legitimate users may experience slower load times and poor performance.
• Increased Security Risks: Without proper traffic control, businesses are more vulnerable to data scraping, credential stuffing, and other bot-driven attacks.
• Lost Business Opportunities: Poor performance and security issues can drive customers away to competitors.
• Compliance Issues: In some industries, inability to control and audit traffic can lead to regulatory compliance problems.

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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