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Cloud Load balancing

List the competing alternatives in 1. AWS Load balancing, 2. Azure Load balancing, 3. GCP Load balancing, 4. IBM Cloud Load balancing, 6. IBM z Mainframe Load balancing, 7. Oracle Cloud Load balancing, 8. Kubernetes Load balancing, 9. VMWare Cloud Load balancing / Tanzu Load balancing, 10. Alibaba Cloud Load balancing, 11. DigitalOcean Load balancing, 12. Huawei Cloud Load balancing, 13. Tencent Cloud Load balancing, 14. On-Premises Data Center Load balancing using Open Source Cloud / Private Cloud Technologies. When you make a numbered list, precede the number with an asterisk and a space. Put a section heading for each paragraph. You MUST put double square brackets around ALL computer buzzwords, product names, or jargon or technical words. Answer in MediaWiki syntax.

Load balancing is a critical component of cloud computing, ensuring the distribution of workloads across multiple computing resources. Here's a comprehensive list of load balancing solutions offered by various cloud providers and technologies, including on-premises solutions enabled by open-source or private cloud technologies.

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• Elastic Load Balancing (ELB): Offers three types of load balancers that automatically distribute incoming application traffic across multiple targets, such as Amazon EC2 instances.

• Azure Load Balancer: Provides high availability and network performance to your applications. It's built to handle millions of requests per second while ensuring your solution is highly available.
• Azure Application Gateway: A web traffic load balancer that enables you to manage traffic to your web applications.

• Google Cloud Load Balancing: Offers a fully distributed, software-defined managed service for all your traffic. It provides advanced traffic management capabilities.

• IBM Cloud Load Balancer: Distributes client requests for web traffic across multiple instances of services, such as virtual servers, to improve the responsiveness and availability of your applications.

• Oracle Cloud Infrastructure Load Balancing: Offers automated traffic distribution from one entry point to multiple servers reachable from your virtual cloud network (VCN).

• Within a Kubernetes cluster, load balancing is achieved through the use of services of type LoadBalancer, which integrates with the cloud provider's load balancing to distribute traffic.

• VMware NSX Advanced Load Balancer (formerly Avi Networks): Provides multi-cloud load balancing, web application firewall, and application analytics across any cloud, including VMware Tanzu service mesh environments.

• Alibaba Cloud Server Load Balancer (SLB): Automatically distributes incoming traffic across multiple instances to balance their load, enhancing the availability and robustness of your applications.

• DigitalOcean Load Balancers: Fully managed, highly available, and provisioned instantly, these distribute incoming traffic to increase your application's availability.

• Huawei Cloud Elastic Load Balance (ELB): Distributes traffic among multiple instances to improve the fault tolerance of your applications.

• Tencent Cloud Load Balance (CLB): Automatically distributes traffic across multiple computing resources, such as cloud servers, to achieve smoother performance and higher availability.

• On-premises solutions often utilize open-source software like HAProxy, Nginx, or Apache HTTP Server for load balancing. These tools can be configured to distribute web traffic across multiple servers to improve website performance and availability.

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This list showcases the diversity of load balancing solutions available across major cloud platforms, enabling organizations to ensure high availability, reliability, and performance of their applications and services.

Cloud Load balancing Best Practices

Summarize this topic in 20 paragraphs. Put a section heading for each paragraph. You MUST put double square brackets around ALL computer buzzwords, product names, or jargon or technical words. Answer in MediaWiki syntax.

Implementing best practices for cloud load balancing is key to optimizing application performance and availability. Below are summarized best practices structured to provide guidance across various aspects of load balancing in cloud environments.

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Adopting best practices in cloud load balancing ensures that applications are highly available, scalable, and secure, thereby enhancing user experience and system reliability.

Assess your application's specific requirements to choose the right type of load balancer (application, network, or gateway) that aligns with your needs.

Configure health checks to continuously monitor the health of backend servers, ensuring traffic is only routed to healthy instances.

Spread your resources across multiple availability zones to enhance fault tolerance and provide seamless failover capabilities.

Integrate load balancing with autoscaling to dynamically adjust resources in response to changing traffic patterns, ensuring optimal performance and cost efficiency.

Carefully manage session persistence (sticky sessions) to maintain user session data when necessary while avoiding over-reliance on a single server.

Implement security best practices such as SSL/TLS offloading, WAF integration, and proper access controls to secure your load balancer and the applications it serves.

Offload SSL/TLS processing to the load balancer to reduce the encryption and decryption load on backend servers, improving overall system performance.

Choose load balancing solutions and configurations that minimize latency, considering factors like geographical distribution and connection reuse.

Enable detailed logging and monitoring for your load balancing environment to gain insights into traffic patterns, performance bottlenecks, and potential security threats.

Select and fine-tune load balancing algorithms (round-robin, least connections, IP hash, etc.) based on your application's behavior and traffic patterns.

Incorporate load balancers into your disaster recovery plan, ensuring you have strategies for rapid recovery in different geographical regions if needed.

Keep your load balancer and its underlying software up to date with the latest patches and updates to mitigate vulnerabilities.

For web applications, complement load balancing with CDNs to cache content closer to users, reducing load on origin servers and decreasing latency.

Protect your applications against traffic spikes and DDoS attacks by configuring rate limiting on your load balancer.

Regularly review and optimize your load balancing setup to control costs, considering different pricing models and resource usage patterns.

Design your load balancing architecture with scalability in mind, allowing for easy addition of new servers or services without significant reconfiguration.

Regularly perform performance testing to evaluate how your load balancing setup handles various traffic scenarios and to identify any potential issues.

Take advantage of specific features and services offered by your cloud provider for load balancing, such as integration with other cloud services and managed solutions.

Continuously review your load balancing strategy and configurations, iterating based on operational insights and changing requirements.

By following these cloud load balancing best practices, organizations can ensure their applications remain performant, resilient, and secure, maximizing the benefits of cloud computing. ```

These guidelines provide a comprehensive framework for optimizing load balancing strategies in cloud environments, covering aspects from technical configurations to operational and security considerations.

Snippet from Wikipedia: Cloud load balancing

Cloud load balancing is a type of load balancing that is performed in cloud computing. Cloud load balancing is the process of distributing workloads across multiple computing resources. Cloud load balancing reduces costs associated with document management systems and maximizes availability of resources. It is a type of load balancing and not to be confused with Domain Name System (DNS) load balancing. While DNS load balancing uses software or hardware to perform the function, cloud load balancing uses services offered by various computer network companies.

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Snippet from Wikipedia: Load balancing

Load balancing or load distribution may refer to:

• Load balancing (computing), balancing a workload among multiple computer devices
• Load balancing (electrical power), the storing of excess electrical power by power stations during low demand periods, for release as demand rises
• Network load balancing, balancing network traffic across multiple links
• Weight distribution, the apportioning of weight within a vehicle, especially cars, airplanes, and watercraft
• Production leveling, a prerequisite to allow 'flow' in the factory
• Resource leveling, a group of techniques for distribution of a workload between workers.

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Research:

• Cloud Load balancing on DuckDuckGo
• Cloud Load balancing on Google.com
• Cloud Load balancing on AWS Docs
• Cloud Load balancing on O'Reilly
• Cloud Load balancing on GitHub
• Cloud Load balancing on Kubernetes.io
• Cloud Load balancing on Azure Docs
• Cloud Load balancing on GCP Docs
• Cloud Load balancing on IBM Docs
• Cloud Load balancing on Red Hat Docs
• Cloud Load balancing on Oracle Docs
• Cloud Load balancing on Reddit
• Cloud Load balancing on StackOverflow
• Cloud Load balancing on YouTube

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