Arista Cloud Engineer: DANZ Monitoring Fabric (DMF) Specialist (DMF)

 

Course Overview

The 3-day DANZ Monitoring Fabric (DMF) Specialist course provides a sound understanding and technical skills needed to deploy and operate DMF, a next-generation Network Packet Broker (NPB). The course demonstrates why telemetry, monitoring and visibility are crucial for your networks. Using numerous hands-on labs, this course explores how DMF enables pervasive network observability by providing real-time and historical information about your physical, virtual, and container environments.

Who should attend

This course is suitable for people with at least intermediate-level networking experience who are comfortable with basic networking technologies and configurations. The course is ideal for students working in network supervisory positions or looking to progress into such positions.

Course Objectives

  • Understand and Monitor Networks with Arista
  • Deploy the DANZ Monitoring Fabric DMF
  • Configure and Troubleshoot DMF
  • DMF Policy Configurations
  • Configure modes, packet capture
  • Monitor vCenter VMs
  • Manage services such as Netflow and UDP replication
  • Troubleshoot and update DMF
  • Understand analyze customize and test DMF nodes

Outline: Arista Cloud Engineer: DANZ Monitoring Fabric (DMF) Specialist (DMF)

Arista Monitoring Solutions
  • Network monitoring
    • Needs and Challenges
    • New generation of NPB
  • LANZ - Latency Analyzer
    • Operation, Congestion, Latency, Packet Drops
    • LANZ report from CLI and CloudVision
  • Mirroring and TapAgg
  • Introduction to DMF
    • Single point of management
    • Zero Touch Fabric
    • Dynamic Monitoring of VM Workloads
    • Application identification
    • Integrated packet capture
  • OOB topologies
    • Single-switch, two-level, multi-level fabric
    • Switch Cluster Fabric
    • Multi-site manufacturing
  • Use case
    • Ubiquitous Network Monitoring
    • Multi-site monitoring
DMF deployment
  • Structure components
    • Controllers
    • Switches
    • DMF Nodes - Service, Logger, Analytics
    • Management network
  • Interface connections
  • Structural Design Considerations
    • Platform option - Network Appliance or VM
    • HA Configuration - Standalone or Cluster
  • Structure commissioning sequence
    • Management network, controller, switches, nodes
    • Configuration
Access and configuration of the DMF
  • Access modes - GUI, CLI, REST
  • Configuration Management
    • Setup Run
    • File management
  • System configuration - AAA, SNMP, NTP, others
  • Repair
DMF Policy Configurations
  • Interface - Roles and configuration
  • Policies - Matching Rules, Actions
    • Example - Monitor ICMP and Web Traffic
  • Service Nodes - Managed Services, Build Policy
  • Record Node - Policymaking, Querying, Replaying
  • Policy configuration
Advanced DMF configurations
  • Modes - Packet Matching and VLAN Tagging
  • Interface Types and Options - Rate Limiting
  • Packet Capture - Configuration, PCAP Files
  • Tunnels - Requirements, Setup
  • Monitoring vCenter VMs
  • Deep Packet Matching Capabilities
  • Managed Services - Netflow, UDP Replication, Configuration
  • Monitoring as a Service (MaaS)
  • Provision of VM-based tools
DMF operations
  • Upgrades
    • DMF fabrications, controllers, switches, and nodes
    • Upgrade Procedure and Rollback
  • zero touch
    • Automatic leveling by controller
    • Switches/SN/RN
  • High availability
    • Failure of a service node
  • RMA procedure
    • Change of controller
    • Remove/Add new controller
  • Change management
    • Instant configurations
  • Maintenance
DMF Analysis Nodes
  • DMF Analytics
    • Visibility of the production network
    • Analytics as Flow Collector
  • Deployment
    • Single node cluster
    • Cluster of nodes
  • Internal Stack Overview
    • ELK - ElasticSearch Logstash Kibana
    • ELK stack built into the analytics node
  • Dashboards
    • sFlow, Netflow, TCP, ARP, DHCP, DNS
    • Customizing Dashboards
  • Machine-learning
    • Steps in creating an ML job
    • Types of MLnJob and Data Viewer
    • Single Metric ML Job, Multi-Metric ML Job
    • ML Anomaly Explorer
  • Application Dependency Maps (ADM)
    • Impact analysis
    • Steps in creating an ADM
  • Alerts - Watchmen
    • Threshold Alert, Advanced Alerts, Email Alert
    • Monitoring - Webhook and Slack integration
  • Personalization
    • Infoblox IPAM Integration
  • ELK Basics, Elasticsearch Statistics
  • Analytical clustering
  • Repair
DMF Recorder Node
  • Hardware, Deployment, Capabilities
  • Scaling
    • Added AI
    • Exploitation of external storage by NFS mounting
  • Operations - Configuration, Troubleshooting, Upgrade
  • Performance
  • RBAC, role-based access control
  • Using the Record Node
  • REST-APIs
DMF Troubleshooting
  • Fabric state - controller, switch, policies
  • Transfer - Model, Modes, Pipeline
  • Organizational chart
Contact Support
  • Open a support case
Appendix: Multi Cloud Director (MCD)
  • Dashboards
  • DMF Health Planning and Operations

Prices & Delivery methods

Online Training

Duration
3 days

Price
  • US$ 3,995
Classroom Training

Duration
3 days

Price
  • United States: US$ 3,995

Schedule

Currently there are no training dates scheduled for this course.