Load Balancing Latest 2022
Load Balancing for security?
Load Balancing (LB), is now popping up on the corporate security agenda! LB (Load Balancing) is no longer just about managing traffic flows across enterprise routers and servers. In the age of the cloud and software defined networking (SDN), the LB off-loading function has serious possibilities for deflecting DDOS attacks by shifting attack traffic from the corporate server to a public cloud provider.
Next generation software load balancers with advanced dashboard capabilities can also provide deep analytics down to the individual application. This is exemplified in the next-generation SDN load balancing just announced by AVI Networks.
Companies increasingly rely on their WAN access for business-critical application performance, and servicing their on-line customers. Previously, that would indicate the need for specialised hardware and significant redundant capacity – just think of retail traffic spikes on Black Fridays! It would also be expensive to upgrade. With SDN, this all becomes a software issue on standardised X86 hardware.
We also continue to see increases in the number and size of DDOS (Distributed Denial Of Service) attacks, with the heaviest attacks now surpassing 600GBps, according to Akamai. This type of cybercrime represents about 25% of corporate cybercrime costs. Building significant hardware-based DDOS avoidance capacity is very costly, and requires high maintenance levels.
Software load balancers with cloud offload can provide a much lower cost and elastic protection. To demonstrate scalability in software, AVI Systems recently scaled applications from zero to one million SSL transactions per second in under ten minutes on the Google cloud.
Load balancing refers to efficiently distributing incoming network traffic across a group of backend servers, also known as a server farm or server pool.
Modern high‑traffic websites must serve hundreds of thousands, if not millions, of concurrent requests from users or clients and return the correct text, images, video, or application data, all in a fast and reliable manner. To cost‑effectively scale to meet these high volumes, modern computing best practice generally requires adding more servers.
A 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, which could degrade performance. If a single server goes down, the load balancer redirects traffic to the remaining online servers. When a new server is added to the server group, the load balancer automatically starts to send requests to it.
In this manner, a load balancer performs the following functions:
Distributes client requests or network load efficiently across multiple servers
Ensures high availability and reliability by sending requests only to servers that are online
Provides the flexibility to add or subtract servers as demand dictates
Load Balancing Algorithms
Different load balancing algorithms provide different benefits; the choice of load balancing method depends on your needs:
Round Robin – Requests are distributed across the group of servers sequentially.
Least Connections – A new request is sent to the server with the fewest current connections to clients. The relative computing capacity of each server is factored into determining which one has the least connections.
Least Time – Sends requests to the server selected by a formula that combines thefastest response time and fewest active connections. Exclusive to NGINX Plus.
Hash – Distributes requests based on a key you define, such as the client IP address or the request URL. NGINX Plus can optionally apply a consistent hash to minimize redistribution of loads if the set of upstream servers changes.
IP Hash – The IP address of the client is used to determine which server receives the request.
Random with Two Choices – Picks two servers at random and sends the request to the one that is selected by then applying the Least Connections algorithm (or for NGINX Plus the Least Time algorithm, if so configured).
Benefits of Load Balancing
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