docs: Content SEO updates (#2990)

* update yaml frontmatter format

* update abstract document

* update abstract factory

* use the new pattern template

* acyclic visitor seo

* adapter seo

* ambassador seo

* acl seo

* aaa seo

* async method invocation seo

* balking seo

* bridge seo

* builder seo

* business delegate and bytecode seo

* caching seo

* callback seo

* chain seo

* update headings

* circuit breaker seo

* client session + collecting parameter seo

* collection pipeline seo

* combinator SEO

* command seo

* cqrs seo

* commander seo

* component seo

* composite seo

* composite entity seo

* composite view seo

* context object seo

* converter seo

* crtp seo

* currying seo

* dao seo

* data bus seo

* data locality seo

* data mapper seo

* dto seo

* decorator seo

* delegation seo

* di seo

* dirty flag seo

* domain model seo

* double buffer seo

* double checked locking seo

* double dispatch seo

* dynamic proxy seo

* event aggregator seo

* event-based asynchronous seo

* eda seo

* event queue seo

* event sourcing seo

* execute around seo

* extension objects seo

* facade seo

* factory seo

* factory kit seo

* factory method seo

* fanout/fanin seo

* feature toggle seo

* filterer seo

* fluent interface seo

* flux seo

* flyweight seo

* front controller seo

* function composition seo

* game loop seo

* gateway seo

* guarded suspension seo

* half-sync/half-async seo

* health check seo

* hexagonal seo

* identity map seo

* intercepting filter seo

* interpreter seo

* iterator seo

* layers seo

* lazy loading seo

* leader election seo

* leader/followers seo

* lockable object seo

* rename and add seo for marker interface

* master-worker seo

* mediator seo

* memento seo

* metadata mapping seo

* microservice aggregator seo

* api gw seo

* microservices log aggregration seo

* mvc seo

* mvi seo

* mvp seo

* mvvm seo

* monad seo

* monitor seo

* monostate seo

* multiton seo

* mute idiom seo

* naked objects & notification seo

* null object seo

* object mother seo

* object pool seo

* observer seo

* optimistic locking seo

* page controller seo

* page object seo

* parameter object seo

* partial response seo

* pipeline seo

* poison pill seo

* presentation model seo

* private class data seo

* producer-consumer seo

* promise seo

* property seo

* prototype seo

* proxy seo

* queue-based load leveling seo

* reactor seo

* registry seo

* repository seo

* RAII seo

* retry seo

* role object seo

* saga seo

* separated interface seo

* serialized entity seo

* serialized lob seo

* servant seo

* server session seo

* service layer seo

* service locator seo

* service to worker seo

* sharding seo

* single table inheritance seo

* singleton seo

* spatial partition seo

* special case seo

* specification seo

* state seo

* step builder seo

* strangler seo

* strategy seo

* subclass sandbox seo

* table module seo

* template method seo

* throttling seo

* tolerant reader seo

* trampoline seo

* transaction script seo

* twin seo

* type object seo

* unit of work seo

* update method seo

* value object seo

* version number seo

* virtual proxy seo

* visitor seo

* seo enhancements

* seo improvements

* SEO enhancements

* SEO improvements

* SEO additions

* SEO improvements

* more SEO improvements

* rename hexagonal + SEO improvements

* SEO improvements

* more SEO stuff

* SEO improvements

* SEO optimizations

* SEO enhancements

* enchance SEO

* improve SEO

* SEO improvements

* update headers

leader-election/README.md

@@ -1,13 +1,15 @@
 ---
-title: Leader Election
+title: "Leader Election Pattern in Java: Mastering Node Coordination and Consensus"
+shortTitle: Leader Election
+description: "Learn how the Leader Election design pattern helps Java applications maintain consistency, fault tolerance, and scalability in distributed systems. Discover examples, use cases, and implementation details."
 category: Concurrency
 language: en
 tag:
-    - API design
-    - Cloud distributed
-    - Fault tolerance
-    - Scalability
-    - Synchronization
+  - API design
+  - Cloud distributed
+  - Fault tolerance
+  - Scalability
+  - Synchronization
 ---
 
 ## Also known as
@@ -15,15 +17,15 @@ tag:
 * Coordinator Election
 * Master Election
 
-## Intent
+## Intent of Leader Election Design Pattern
 
-Enable a system to elect a leader from a group of nodes, ensuring that the leader is consistently recognized and able to coordinate tasks while the other nodes remain followers.
+The Leader Election design pattern is crucial for enabling a system to elect a leader from a group of nodes, ensuring the leader is consistently recognized and able to coordinate tasks while other nodes remain followers. This pattern is fundamental in distributed systems, particularly for achieving fault tolerance and high availability.
 
-## Explanation
+## Detailed Explanation of Leader Election Pattern with Real-World Examples
 
 Real-world example
 
-> A real-world analogy to the leader election pattern is the election of a team captain in sports. In this analogy, all team members (nodes) participate in the election process, following a set of agreed-upon rules (protocol). Once a captain (leader) is chosen, they assume responsibility for coordinating strategies, giving directions, and representing the team in discussions. If the captain is injured or unavailable, the team holds a new election or appoints a vice-captain (failover mechanism) to ensure that leadership and direction are maintained consistently.
+> A real-world analogy to the Leader Election pattern is the election of a team captain in sports. All team members (nodes) participate in the election process, following a set of agreed-upon rules (protocol). Once a captain (leader) is chosen, they assume responsibility for coordinating strategies, giving directions, and representing the team in discussions. If the captain is injured or unavailable, the team holds a new election or appoints a vice-captain (failover mechanism) to ensure that leadership and direction are maintained consistently.
 
 In plain words
 
@@ -33,7 +35,7 @@ Wikipedia says
 
 > In distributed computing, leader election is the process of designating a single process as the organizer of some task distributed among several computers (nodes). Before the task has begun, all network nodes are either unaware which node will serve as the "leader" (or coordinator) of the task, or unable to communicate with the current coordinator. After a leader election algorithm has been run, however, each node throughout the network recognizes a particular, unique node as the task leader.
 
-**Programmatic Example**
+## Programmatic Example of Leader Election Pattern in Java
 
 The Leader Election pattern is a design approach that enables a distributed system to select one node as the coordinator or leader to manage tasks and maintain order, while other nodes operate as followers. This pattern is particularly useful in distributed systems where one node needs to act as a central coordinator for a specific function or decision-making process.
 
@@ -135,25 +137,25 @@ The `RingApp` class implements the Ring algorithm for leader election. In this a
 
 These examples demonstrate how the Leader Election pattern can be implemented in different ways to suit the specific requirements of a distributed system.
 
-## Class diagram
+## Detailed Explanation of Leader Election Pattern with Real-World Examples
 
 ![Leader Election](./etc/leader-election.urm.png "Leader Election pattern class diagram")
 
-## Applicability
+## When to Use the Leader Election Pattern in Java
 
-Use this pattern in Java applications where:
+Use the Leader Election pattern in Java applications where:
 
 * A distributed system needs one node to act as the central coordinator for a specific function or decision-making process.
 * High availability is essential, and the leader should be replaceable in case of failure.
 * Coordination is required across different nodes in a cluster, particularly in cloud environments.
 
-## Known Uses
+## Real-World Applications of Leader Election Pattern in Java
 
 * Apache ZooKeeper: Provides leader election for distributed services.
 * Kubernetes: Elects a leader pod to manage stateful workloads.
 * Hazelcast: Distributed data grid uses leader election for cluster management.
 
-## Consequences
+## Benefits and Trade-offs of Leader Election Pattern
 
 Benefits:
 
@@ -167,13 +169,13 @@ Trade-offs:
 * Overhead: Election processes may introduce performance overhead.
 * Single Point of Failure: Even with redundancy, the leader can become a bottleneck if not carefully designed.
 
-## Related Patterns
+## Related Java Design Patterns
 
 * [Observer](https://java-design-patterns.com/patterns/observer/): Followers can observe changes from the leader to stay updated.
 * [Singleton](https://java-design-patterns.com/patterns/singleton/): The leader functions as a single instance, acting as a unique decision-maker.
 * [State](https://java-design-patterns.com/patterns/state/): Helps in managing state transitions, particularly in switching leadership roles.
 
-## Credits
+## References and Credits
 
 * [Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems](https://amzn.to/3y6yv1z)
 * [Distributed Systems: Principles and Paradigms](https://amzn.to/3UN2vbH)