Zen Load Balancer is a complete solution for load balancing to provide a high availability for TCP, UDP, advanced HTTP and HTTPS services, data line communications (uplink). A complete solution for L7 content switching and L4 Load Balancing, targeted to become a professional open source product in networking for distributed systems.
It's not only a nice HTTPS GUI to control the load balancing system, Zen LB provides an advanced administration for network interfaces and routes, unlimited farms configuration, advanced checking for TCP farms, advanced check and monitoring for backend servers, clustering for active-pasive load balancing services, monitoring graphs, configuration backups, vlan support, real time config sync replication for cluster nodes, HTTP specific load balancing, client persistence, SSL wrapper, L7 content switching, L4 load balancing and much more.
Zen Load Balancer
In ZEn Load Balancer v3.02 or less you can't configure a HTTPS farm with HTTPS backends, (not supported). If you need this support then use TCP or L4 farms, the entire communication will go through the load balancer in raw mode
Zen Load Balancer is an Open Source Load Balancer Appliance Project that provides a full set of tools to run and manage a complete load balancer solution which includes: farm and server definition, networking, clustering, monitoring, secure certificates management, logs, config backups, etc.
Virtual IP is a floating IP address over a layer 4 network configuration which is used to be the entry point of a virtual service defined by a farm that is ready to deliver connections between redundant load balancing nodes.
Stop Farm: The selected farm will be stopped, and the virtual service will be disabled. Once the farm is stopped, it will not be started at the boot up process of the load balancer. The status field will be shown with a red dot and the PID will be disappeared. A confirmation window will be shown.
Farm Virtual IP and Virtual Port. These are the virtual IP address and virtual port in which the virtual service for the farm will be bind and listening in the load balancer system. To make changes in these fields, be sure the new virtual ip and virtual port are not in use. To apply the changes the farm service will be restarted automatically for TCP and UDP profiles. To be applied for HTTP and HTTPS, the farm needs to be restarted manually through the restart icon .
Load Balance Algorithm. This field shows the different load balancing algorithms that are possible to be configured for the current farm. Four algorithms are available. Selecting an unappropiate algorithm for your service infrastructure could cause a lot of processor consumption over the load balancer. To apply the changes check the Modify Button and the new algorithm will be applied on line without restarting the farm.
The uploaded certificate file must contain a PEM-encoded certificate, optionally a certificate chain from a known Certificate Authority to your server certificate and a PEM-encoded private key (not password protected).5.3.1 ADDING A NEW CERTIFICATE
This section is useful to monitorize the internal load balancer system to detect problems through the parameters of CPU usage, swap memory, ram memory, all configured nework interfaces, load and hard disk storage.
node1 master and node2 backup automatic failback: If node1 is detected as down the node2 will take over the load balancing service. When node1 is restored the service will automatically switch back to node1. You should choose this option when node1 is a more powerful server than node2.
node1 or node2 can be masters: anyone can be master, there is no automatic failback when one node is recovered. If you have two very similar servers for node1 and node2 that can both handle the full load of your traffic then you can use this option.
By default Zen Load balancer checks the tcp backends port status, but sometimes this check its not enough to conclude that the backend status is working fine. To solve this problem Zen Load Balancer implement a way to execute an advanced and personalized backends checks called Farm Guardian.
The Zen Load Balancer (ZLB) project, released since October 2010, offers an open source solution based on a Debian distribution and many specific features that has been developed for load balancing.Using load balancing techniques ensures that many hosts work together to achieve the same purpose: to offer high availability and quality service.This product out of the box includes a lot of professional functionalities like access control through web GUI, tcp load balancing of servers farms, creating virtual and vlan network interfaces, monitoring, advanced backend supervisor with farm guardian, cluster service on active-pasive mode, automatic replication between nodes, creating advanced routing tables, creating configuration backups, and much more.Download the latest release of ZLB, screenshots and get support through the official web site
I have to deploy my ASP.NET application into two seperated IIS servers. My application works over HTTPS/TLS. My ASP code has to handle client SSL certificate and it means I can't use simple forward load balancers, because I will never get such certificate from nginx or Apache Load Balancer.
The WSO2 ELB is a cloud-native load balancer built that uses the WSO2 Carbon middleware framework, uses Apache Synapse for message mediation, and uses Hazelcast for clustering support and as the distributed group management framework (refer to this blog).
In previous versions, WSO2 ELB was used for auto scaling purposes (elasticity; scaling up/down of backend members according to the load). The in-built autoscaler would run a periodic task to check the health of the system. It would check whether the required number of minimum instances are running in the system, and if not, will try to spawn in the relevant IaaS as configured. However, at present, the recommended method is to use Apache Stratos (click here for details) for such requirements.
A Synapse endpoint is responsible for routing the messages to the relevant backend member. The target cluster would be identified first from the HTTP Host Header. This endpoint also provides session affinity, routing the requests with the same session ID to the same backend member. When session affinity is not relevant, a member would be determined by the provided load balancing algorithm. This is how the correct member, to whom the next request should be routed to, is chosen. Currently, requests are routed based on the round-robin algorithm, but any other algorithm implementation can be plugged in. Dynamic member discovery is supported, where members can join/leave the system without having to restart the ELB. Therefore, the current set of backend nodes which are serving the traffic can be updated on the fly, which is a very useful feature for a production system.
The WSO2 ELB has service aware and tenant aware load balancing capabilities in addition to regular routing of requests (click here for more information). Service aware load balancing refers to routing the request to the correct service cluster. Tenant aware load balancing require identifying the correct cluster in which the requests for a particular tenant will be served.
HAProxy has a reputation for being very solid with almost no issues. It can perform sticky load balancing and can use application generated custom cookies to maintain session affinity. However, HAProxy does not support dynamic addition/removal of members out of the box at runtime.
Netflix Eureka is an unconventional, middle-tier load balancer (click here for details). It has mainly two components, namely Eureka Server and Eureka client. The Eureka server is actually a service, which is used to locate and load balance middle-tier servers, in AWS. The client is a Java-based application, which is used to interact with the Eureka server easily. The client also acts as a round robin load balancer.
It is stated that Eureka does not impose any protocol limitation to communicate with application servers. Any RPC mechanism can be used after the service information is obtained from the Eureka server. However, this leaves out the possibility of doing session aware load balancing.
Due to the distributed nature of Eureka servers and clients, the Eureka method of load balancing is said to support high availability and avoids single points of failure. As the service information is cached at the Eureka client as well, the application can still access the backend server even when all Eureka Servers are down.
Session-based load balancing is supported OOTB; can be configured based on the client IP, basic authentication, a specific parameter in the URL and a specified session cookie. Moreover, backend clusters can be configured as active-passive for handling cluster level fail-over scenarios. Two Zen LBs can be used to provide high availability for the LB itself, with real time state replication among the nodes.
Scaling up/down of backend nodes are not supported, and is not capable of tenant-aware load balancing. However, high availability can be provided for the load balancer with active-passive mechanism. Zen LB also provides a dashboard for system monitoring.
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