devops-what-is-and-how-to-setup-x-load-balancer

Contents

Roadmap info from roadmap website

Load Balancer

Load Balancer acts as the traffic cop sitting in front of your servers and routing client requests across all servers capable of fulfilling those requests in a manner that maximizes speed and capacity utilization and ensures that no one server is overworked. If one of the servers goes down, the load balancer redirects traffic to the remaining online servers.

Visit the following resources to learn more:

Self-Hosted Load Balancers

  • Use case: Best for organizations needing full control over their infrastructure, high customization, or working in environments with specific compliance needs (e.g., on-premise, private cloud). It requires skilled network and system administrators.

  • Strengths: Flexibility, custom configurations, lower cost at small scale.

  • Examples:

    • HAProxy: High-performance, open-source solution with robust features for load balancing and application security.
    • Nginx: Powerful web server and reverse proxy that supports load balancing.
    • Traefik: Ideal for microservices and container-based environments like Docker and Kubernetes.

Cloud-Based Load Balancers

  • Use case: Ideal for businesses that prefer managed services, need rapid scalability, or operate in highly dynamic environments where traffic fluctuates (e.g., e-commerce, SaaS). It’s well-suited for teams without deep infrastructure management expertise.

  • Strengths: Scalability, low management overhead, integrated security.

  • Examples:

    • AWS ELB: Automatically distributes incoming traffic across multiple AWS resources like EC2, ECS, Lambda.
    • Azure Load Balancer: Balances traffic across virtual machines in Azure and integrates well with other Azure services.
    • Google Cloud Load Balancer: Offers global load balancing with support for both TCP/UDP and HTTP(S).

Key Takeaways

  • Self-hosted solutions offer more control, customization, and potentially lower cost for small setups, but require manual scaling and management.

  • Cloud-based solutions provide automatic scaling, high availability, and security, but can become expensive at scale and offer limited customization over algorithms and infrastructure control.

Traefik

  • Traefik Hub API Gateway
  • Traefik Hub API Management

References 

flowchart TD
A[Application Proxy] --> B[Service Discovery]
A --> C[Traffic Routing]
A --> D[Load Balancing]
C --> F[Microservices]
C --> G[APIs]
  • ☐ Configure in Kaos

https://doc.traefik.io/traefik/getting-started/quick-start-with-kubernetes/

https://doc.traefik.io/traefik/providers/kubernetes-crd/ 

# Install Traefik Resource Definitions:
kubectl apply -f https://raw.githubusercontent.com/traefik/traefik/v3.2/docs/content/reference/dynamic-configuration/kubernetes-crd-definition-v1.yml

# Install RBAC for Traefik:
kubectl apply -f https://raw.githubusercontent.com/traefik/traefik/v3.2/docs/content/reference/dynamic-configuration/kubernetes-crd-rbac.yml

References

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