Apache Zookeeper
A centralized service for distributed systems that manages configuration, synchronization, and naming through a hierarchical data model
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| + | Configuration Management | Provides one location to store configuration data and update information across nodes |
|---|---|---|
| + | Service Registry | Keeps a record of service data for discovery and access in a distributed system |
| + | Synchronized Updates | Coordinates state changes so that all clients process operations in the same sequential order |
| + | Barrier Synchronization | Causes processes to wait until all participants reach a synchronization point, coordinating parallel task execution |
| + | Naming Service | Maps names to resources for node identification and communication within the network |
| + | Leader Election | Selects a node to guide further operations, enabling orderly management of distributed tasks |
| + | Quorum Management | Supports agreement among nodes to decide on the system’s state and maintain coordinated operations |
| + | Failure Recovery | Identifies node failures and initiates reconfigurations to maintain operational state |
| + | Failover Support | Monitors for node failures and redirects operations to nodes that remain connected to preserve service continuity |
| + | Atomic Broadcast | Ensures that all nodes receive events in the same sequential order to support state replication |
| + | Hierarchical Data Storage | Organizes data in a tree structure called znodes to aid lookup and data management |
| + | Event Notification | Monitors changes in data and informs clients to support prompt system updates |
| + | Locking Mechanism | Enforces single access to shared resources to avoid conflicting operations |
| + | Ephemeral Nodes | Supports temporary nodes that disappear when a session ends, tracking dynamic state changes |
| + | Watchers | Allows clients to register for notifications when specific nodes experience changes |
| + | Session Management | Tracks client connections and maintains session state through the distributed network |
| + | Scalability Facilitation | Enables addition or removal of nodes while coordinating overall system state |
| + | Data Consistency | Maintains uniform data state across nodes by using a strict ordering protocol in operations |
| + | Data Replication | Duplicates information across nodes to provide redundancy and support operational continuity |
| + | System Monitoring | Offers mechanisms to track the status of nodes and overall system state in real time |
| + | Cluster Coordination | Bridges multiple systems to work on tasks by managing shared state and distributed processing |
| + | API Support | Provides a set of primitives for client applications to integrate coordination features into distributed tasks |
| - | Java Garbage Collection Pauses | Operations may pause during garbage collection cycles in the Java runtime, which can interrupt processes |
| - | Snapshot Operation Stalls | Creating snapshots halts read and write operations, delaying the processing of requests during these period |
| - | Socket Connection Overhead | Opening a new socket per watch request uses system resources and can limit scale if many watches are registered. |
| - | Reconfiguration Risk | Adding new servers to an existing ensemble may lead to state inconsistencies and risk data loss if the new nodes do not maintain the required quorum |
| - | Write Operation Bottleneck | Write requests are handled by the leader node only, which may slow down data processing when many writes occur as write tasks stall until a new leader is elected |
| - | Steep Learning Curve | The underlying concepts of distributed coordination require time and effort to understand and implement correctly |
| - | Scalability Bottleneck for Write | The design allows read operations to scale well but restricts write operations to a single node, which may hinder growth in high-write scenario |
| - | Excessive Network Traffic | Frequent synchronization and state updates among nodes can create high network traffic, impacting throughput |
| - | Challenging Maintenance Tasks | Troubleshooting and maintaining an ensemble demands specialized knowledge, active monitoring and periodic manual configuration changes which can limit independent operation by inexperienced users or delay routine maintenance and system updates |
| - | Risk of Quorum Loss | A drop in the number of available nodes might result in loss of quorum, preventing the system from processing write requests or electing a leader |
Platform
Desktop
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System Requirements
| # | Minimum | Recommended |
|---|---|---|
| 1 |
| GNU/Linux |
| 2 | Dual core processors | |
| 3 | 2 GB RAM | |
| 4 | 80 GB IDE hard drives | |
| 5 | Java, release 1.8 or greater - JDK 8 LTS, JDK 11 LTS, JDK 12 (Java 9 and 10 are not supported). | |
| 6 | Recommended hardware requirements aren’t requirements per se but what’s known to work. See source for more information. |
Ratings
4.655
| ACTE | 5.05 based on 19675 reviews |
|---|---|
| G2CROWD | 4.35 based on 99 reviews |
Repository
License
Categories
Alternatives
Distributed Co-ordination Service
No alternative software available under 'Distributed Co-ordination Service' category.
No alternative software available under 'Distributed Co-ordination Service' category.
Notes
A notable thied-party guide on getting started with Apache Zookeeper on Ubuntu -
here