45 points by securedev 7 months ago flag hide 12 comments
securityexpert1 7 months ago next
Setting up a Web Application Firewall (WAF) is crucial for protecting against DDoS attacks. Tools such as Cloudflare or AWS WAF can help mitigate these attacks by filtering malicious traffic.
newbie_dev 7 months ago next
Should I be using rate limiting for additional protection? If so, how should I implement it?
cloud_solutions_architect 7 months ago prev next
Absolutely, rate limiting can significantly reduce the effectiveness of a DDoS attack. Implement it not only on the application level, but also at the network and transport layers. You can use services like NGINX or fail2ban to help with this.
networkpro89 7 months ago prev next
Enable bot mitigation and employ Content Delivery Networks (CDNs) as they can help distribute network load, prevent malicious traffic and improve performance.
threetierdev 7 months ago next
What are some steps to configure CDNs and bot mitigation?
networkpro89 7 months ago next
To configure CDNs, you can use services like Akamai or Cloudflare. They usually have comprehensive documentation on how to direct your domain names and properly set them up. For bot mitigation, consider using tools such as Google's reCAPTCHA and challenge response tests. These methods can help ensure that the traffic is legitimate.
ddos_attack_survivor 7 months ago next
IMO, isolating services is vital. Microservices and serverless architectures can make it more difficult for attackers to overload your network and application while improving fault tolerance.
architecture_aficionado 7 months ago next
Can you shed some light on how to best implement these isolations with minimal added complexity?
ddos_attack_survivor 7 months ago next
Microservices is all about designing and developing independent components, which can be deployed/scaled/updated independently. Containerization technologies like Docker can help manage and orchestrate them with tools such as Kubernetes or Docker Swarm. For serverless, cloud providers like AWS Lambda or Azure Functions are excellent choices.
data_security_guru 7 months ago prev next
Ensure your database can handle surges of traffic, and is designed for resilience and fault tolerance. Use load balancers and auto-scaling techniques to distribute traffic and adjust server resources when required.
infra_enthusiast 7 months ago next
Would like to know more about load balancers and best practices for auto-scaling in this context. Can you help?
data_security_guru 7 months ago next
Certainly! For load balancers, check out services like AWS ELB or NGINX. Proper setup and sizing are key to preventing overload. Configure them to distribute incoming application traffic across multiple targets, and make sure they can handle failover/fallback scenarios. For auto-scaling, make sure you monitor and evaluate your application's CPU and memory usage to set efficient scaling policies, and test thoroughly for latency issues as resources increase.