Node Discovery and Clustering

Coming Soon

This lesson will teach you how to build dynamic, self-healing clusters with automatic node discovery and health monitoring. You’ll learn how to:

• Implement service discovery mechanisms
• Build automatic cluster formation and joining
• Create health monitoring and failure detection
• Handle dynamic node scaling and removal
• Implement cluster consensus and leader election

What You’ll Build

By the end of this lesson, you’ll have implemented:

• Automatic node discovery using DNS or service registry
• Dynamic cluster formation and membership management
• Health monitoring with failure detection
• Cluster consensus algorithms
• Self-healing mechanisms for node failures

Key Concepts Preview

% Node discovery
discover_nodes() ->
    {ok, Nodes} = inet_res:lookup("chat-cluster.internal", in, srv),
    [list_to_atom("chat@" ++ Host) || {_, _, _, Host} <- Nodes].

% Cluster formation
form_cluster(Nodes) ->
    lists:foreach(fun(Node) ->
        case net_adm:ping(Node) of
            pong -> ok;
            pang -> ?LOG_WARNING("Failed to connect to ~p", [Node])
        end
    end, Nodes).

% Health monitoring
monitor_cluster_health() ->
    timer:apply_interval(30000, ?MODULE, check_node_health, []).

This lesson builds on the distributed systems basics from Lesson 25 and prepares you for the distributed chat architecture we’ll explore in Lesson 27.

This lesson is currently under development. Check back soon for the complete content!