关键字: [Amazon Web Services re:Invent 2023, HAProxy, Load Balancing With Haproxy, High Scale Load Balancing, Optimizing Latency, Protecting Against Security Issues, Centralized Load Balancer Management]
Number of words: 1000, reading time: 5 minutes
video
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Introduction
An advanced load balancer and web application firewall (WAF) like HAProxy Enterprise can help Amazon cloud-based applications stay fast, secure, and resilient. When load balancing at scale, managing a large number of applications and load balancer backend servers is a challenge. In this lightning talk, learn how HAProxy Fusion simplifies large-scale HAProxy Enterprise deployments on Amazon Cloud Technologies. Learn about deploying with AMIs and support for autoscaling groups, Amazon Route 53, and Amazon CloudWatch; managing HAProxy Enterprise configuration and scaling on Amazon Web Services; monitoring traffic, security events, and server health; and automating load balancers and WAF layers to improve efficiency. This demo is provided by HAProxy Technologies, an Amazon Cloud Technology partner.
Highlights of speech
The following is the essence of this speech compiled by the editor for you. It has a total of 700 words and takes about 4 minutes to read. If you want to know more about the content of the speech or watch the full text of the speech, please watch the full video of the speech or the original text of the speech below.
Jacob begins by describing his role and responsibilities within the company as a Solutions Architect at HAProxy Technologies. As the company behind HAProxy, the open source load balancer widely used around the world, they are committed to providing the best solutions to their customers. According to Jacobs, HAProxy is one of the most commonly used software load balancers in the world. According to the performance test results of HAProxy's founder, it can handle more than 2 million seconds of requests on a single Amazon EC2 Graviton instance.
Describing the evolution of companies using Amazon Web Services and HAProxy, Jacobs noted that many companies started with simple infrastructure architectures—just a single application server protected by a load balancer running on an EC2 instance. . However, as the company became successful and expanded, their infrastructure expanded rapidly. More and more applications and databases are being added to multiple regions and availability zones. To address this challenge, they introduced Kubernetes clusters, thereby increasing the complexity of the system. Eventually, the total number of load balancers, applications, and microservices reached thousands.
Faced with the many problems and challenges that this exponential growth brings, such as increasing costs, administrative overhead, and impact on service quality, Jacobs came up with a simplified solution. By using HAProxy as an integrated load balancing layer, companies can reduce complexity and reduce the number of hops. HAProxy can provide functions such as routing, access control, rate limiting, DDoS protection, robot blocking, etc. This improves performance, reduces latency, and simplifies cost and management overhead.
In addition, Jacob also introduced the advantages of the HAProxy Fusion control plane. It enables centralized management of cross-region HAProxy load balancers, automatic registration of new instances, centralized configuration distribution, and drift prevention. Fusion also aggregates monitoring and logs from all load balancer instances into a unified view. Its service discovery integration also automatically detects and routes to Kubernetes containers.
Overall, the combination of HAProxy and Fusion enables enterprises to simplify their load balancing architecture, improve performance and latency, optimize costs, and gain unified visibility and control. For companies struggling with the complexity of explosive growth, HAProxy provides a high-performance, integrated solution to tame infrastructure sprawl.
Jacob shared some examples and use cases of how customers are using HAProxy and Fusion:
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A customer wants to handle subnets with overlapping IP ranges by rate limiting requests based on VPC ID rather than source IP. HAProxy allows them to extract the VPC ID from the proxy protocol and enforce per-VPC rate limits.
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A customer needs to load balance traffic between multiple Kubernetes clusters in different regions and availability zones. They use Fusion's service discovery to automatically route requests to each cluster's containers for multi-cluster traffic distribution.
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Companies with millions of requests per second need to immediately scale the capacity of their HAProxy load balancer to handle traffic spikes. Autoscaling groups allow HAProxy's capabilities to dynamically meet demand.
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Customers with global infrastructure want centralized visibility. Fusion provides them with a unified dashboard for monitoring all areas without having to aggregate information from disparate systems.
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Organizations requiring high availability implement immutable infrastructure upgrades. They use Fusion to seamlessly spin up new versions of HAProxy instances and retire old ones instead of doing field upgrades.
Overall, Jacobs concluded, performance, consolidation, automation and centralized management enable HAProxy and Fusion to optimize complex distributed load balancing infrastructures. By compressing complexity into a simplified HAProxy layer, organizations can reduce cost, latency, and management overhead while increasing scale, observability, and automation with Amazon Cloud Technologies.
Here are some highlights from the speech:
Although the original intention of Kubernetes was to simplify operations, its emergence has also brought a certain degree of complexity to application networks.
In a speech, the speaker discussed in detail how to use HAProxy to efficiently handle large numbers of routing requests.
As part of Amazon Cloud Technology, configuration management services are provided to prevent configuration drift, thereby promoting infrastructure stability and immutability.
Leaders enable multi-cluster routing between different versions or between Kubernetes clusters for A/B testing by using agent-aware control planes.
Leaders concluded that using HAProxy as a load balancer can improve performance, simplify management and reduce latency.
Summarize
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HAProxy's high performance enables it to handle millions of requests per second. It combines routing, security and monitoring into a unified front-end, reducing hops and latency.
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The Fusion control platform allows centralized management of HAProxy load balancers across regions. It automatically scales, prevents configuration drift, and simplifies upgrades.
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Efficiently distribute traffic across dynamic infrastructure with advanced traffic management capabilities such as service discovery and multi-cluster routing.
Overall, HAProxy simplifies the load balancing process on Amazon Cloud Technology as the company grows. Consolidating functionality into a fast, centralized load balancer helps improve performance, reduce costs, and enhance management efficiency.
Original speech
https://blog.csdn.net/just2gooo/article/details/134868138
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