Big Ip Load Balancer Pdf
But before heading into the future, let's look at how we got here. There are two basic concepts that these terms all try to express. To load balance or not to load balance? Deciding on the exact host depends on the load balancing algorithm associated with that particular cluster. This is connection maintenance and requires two key capabilities.
The newest trend to hit the data center is containerization, which is a method of application virtualization that helps in deploying and running distributed applications. Due to the dramatic improvements in portability and performance, containerization could provide businesses with greater scalability and agility. This is obviously not a preferred circumstance, as it doesn't ensure high availability.
Load Balancing Nuts and Bolts
Load balancing allows organizations to distribute inbound application traffic across multiple back-end destinations, including deployments in public or private clouds. The simple answer is that it doesn't respond to the client request and the connection attempt eventually times out and fails. Putting it all together With an understanding of these terms, we've got the basics of load balancing.
Pool, cluster, and farm Load balancing allows organizations to distribute inbound application traffic across multiple back-end destinations, including deployments in public or private clouds. There are multiple ways to address this, depending on the protocol and the desired results. With this common vocabulary established, let's examine the simple transaction of how the application is delivered to the customer. This concept is called persistence, or server affinity.
In this deployment scenario, it is common for the hosts to have a return route that points back to the load balancer so that return traffic will be processed through it on its way back to the client. And what happens if the selected host isn't working? What happens if the selected host isn't working? Virtual server A virtual server is a proxy of the actual server physical, virtual, or container. For the remainder of this paper, we will refer to this concept as the host.
While this is simple and very predictable, it assumes that all connections will have a similar load and duration on the back-end host, which is not always true. As the technology evolved, however, load balancers became platforms for application delivery, ensuring that an organization's critical applications were highly available and secure. Before we get started, let's review the basic terminology of load balancing. Second, ausschnitt aus pdf the load balancer must be able to continue to monitor that connection so the connection table can be updated when the connection closes.
Let's discuss the second question first. How load balancing works With this common vocabulary established, let's examine the simple transaction of how the application is delivered to the customer. In the future, container architectures could also help organizations take better advantage of different cloud environments.
This very simple example is relatively straightforward, but there are a couple of key elements to note. That's why most load balancing technology includes some level of health monitoring to determine whether a host is actually available before attempting to send connections to it. Network-based load balancing appliances.
As with most things in application delivery, this positioning is not a rule, but more of a best practice in any kind of deployment. There are multiple levels of health monitoring, each with increasing granularity and focus. This enables them to use unique information, such as user name, to maintain persistence. The client receives the return packet, believing that it came from the virtual server, and continues the process. It is therefore a necessity to have the concept of a collection of back-end destinations.
With an understanding of these terms, we've got the basics of load balancing. These first devices were application-neutral and resided outside of the application servers themselves, which means they could load balance using straightforward network techniques.
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