New Training: Understand Junos Chassis High Availability Techniques

In this 8-video skill, CBT Nuggets trainer Knox Hutchinson explains how Junos can be configured to have resilient chassis architectures. Watch this new Juniper training.

Learn with one of these courses:

• Enterprise Routing and Switching Specialist

• Service Provider Routing and Switching Specialist

This training includes:

• 8 videos

• 1 hour of training

You’ll learn these topics in this skill:

• VRRP Fundamentals

• Configuring VRRP

• Graceful Restart

• Graceful Routing Engine Switchover (GRES)

• Nonstop Active Routing (NSR)

• In-Service Software Upgrade

• Virtual Chassis

• Summarizing Junos Resiliency

How Junos Takes Hardware Clustering Redundancy To The Next Level

Server Clustering is the architectural design to create redundancy in a given production environment. This redundancy in clustering is achieved by creating one common pool of storage resources that all of the servers have access to. The major benefit behind server clustering and this pooling of resources is to increase resource availability such that if one of the nodes in the cluster were to fail, another node in that cluster could pick up and process the compute responsibilities of the failed server.

Further, in a clustered configuration, organizations benefit from consolidated resources, the ability to span projects over multiple nodes, and high availability are just a few benefits of node clustering. With clustering, organizations can minimize outages, optimize their resource allocation, and improve the monitoring and management of production environments.

What makes Junos clustering unique, though? Junos takes clustering a step further by utilizing a chassis cluster. In this configuration, pairs of devices can be linked together to represent a single node. In this case, if a single device fails, the entire node does not go down. Instead, because devices are configured redundantly, the node can failover to the operational device without that node experiencing downtime.