What you'll learn:
- RIB vs FIB
- RIB , LIB , FIB , LFIB
- MPLS Label , Enabling MPLS
- IP TTL Behavior
- MPLS TTL Behavior
- MPLS Traceroute Behavior
- LDP Configuration
- LDP Neighborship
- Advanced LDP
- Controlling the Advertisement of Labels via LDP
- MPLS LDP Inbound Label Binding Filtering
- LDP Transport IP Address
- LDP Authentication
- LDP Session Protection
- Different MPLS Modes
- MPLS History
MPLS Meaning
Multiprotocol Label Switching, or MPLS, is a networking technology that routes traffic using the shortest path based on “labels,” rather than network addresses, to handle forwarding over private wide area networks. As a scalable and protocol-independent solution, MPLS assigns labels to each data packet, controlling the path the packet follows. MPLS greatly improves the speed of traffic, so users don’t experience downtime when connected to the network.
MPLS Network
An MPLS network is Layer 2.5, meaning it falls between Layer 2 (Data Link) and Layer 3 (Network) of the OSI seven-layer hierarchy. Layer 2, or the Data Link Layer, carries IP packets over simple LANs or point-to-point WANs. Layer 3, or the Network Layer, uses internet-wide addressing and routing using IP protocols. MPLS sits in between these two layers, with additional features for data transport across the network
What Is MPLS Used For
Organizations often use this technology when they have multiple remote branch offices across the country or around the world that need access to a data center or applications at the organization’s headquarters or another branch location. MPLS is scalable, provides better performance and bandwidth, and improves user experience compared to traditional IP routing. But it is costly, difficult to deliver globally and lacks the flexibility to be carrier independent.
As organizations move their applications to the cloud, the traditional MPLS hub-and-spoke model has become inefficient and costly because:
It requires backhauling traffic through the organization’s headquarters and out to the cloud instead of connecting to the cloud directly, which impacts performance significantly.
As companies add more applications, services and mobile devices to their networks, the demand for bandwidth and cloud expertise increases costs and operational complexity.
