Apache ZooKeeper
Ehcache
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Apache ZooKeeper | Ehcache | |
---|---|---|
36 | 3 | |
11,925 | 1,963 | |
0.8% | 1.1% | |
8.3 | 5.2 | |
3 days ago | 9 days ago | |
Java | Java | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Apache ZooKeeper
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On Implementation of Distributed Protocols
Apache ZooKeeper — a distributed coordination, synchronization, and configuration service (written in Java);
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Easy Guide to Integrating Kafka: Practical Solutions for Managing Blob Data
To use Kafka, we also need to deploy a service that keeps configuration informations such as Zookeeper.
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Fault Tolerance in Distributed Systems: Strategies and Case Studies
Failure Detection and Recovery It’s not enough to have backup systems. It’s also crucial to detect failures quickly. Modern systems employ monitoring tools and rely on distributed coordination systems such as Zookeeper or etcd to identify faults in real-time: once detected, recovery mechanisms are triggered to restore the service.
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Reddit System Design/Architecture
zookeeper: is (was?) used for secrets management. it was also used as a basic health check, but has been since been replaced.
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Analysing Github Stars - Extracting and analyzing data from Github using Apache NiFi®, Apache Kafka® and Apache Druid®
You can install Kafka from https://kafka.apache.org/quickstart. Because Druid and Kafka both use Apache Zookeeper, I opted to use the Zookeeper deployment that comes with Druid, so didn’t start it with Kafka. Once running, I created two topics for me to post the data into, and for Druid to ingest from:
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Use AWS CloudFormation to create ShardingSphere HA clusters
Please note that we use Zookeeper as the Governance Center.
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How to choose the right API Gateway
Next, review deployment complexity such as DB-less versus database-backed deployments. For example, Kong does require running Cassandra or Postgres. Apigee requires Cassandra, Zookeeper, and Postgres to run, while other solutions like Express Gateway and Tyk only require Redis. Apache APISIX uses etcd as its data store, it stores and manages routing-related and plugin-related configurations in etcd in the Data Plane.
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In One Minute : Hadoop
ZooKeeper, a system for coordinating distributed nodes, similar to Google's Chubby
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To study Apache Kafka Architecture in details, and how to install, deploy configure Apache kafka.
[Unit] Description=Apache Zookeeper server Documentation=http://zookeeper.apache.org Requires=network.target remote-fs.target After=network.target remote-fs.target [Service] Type=simple ExecStart=/usr/local/kafka/bin/zookeeper-server-start.sh /usr/local/kafka/config/zookeeper.properties ExecStop=/usr/local/kafka/bin/zookeeper-server-stop.sh Restart=on-abnormal [Install] WantedBy=multi-user.target
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ElasticJob 3.0.2 is released including failover optimization, scheduling stability, and Java 19 compatibility
ElasticJob achieves distributed coordination through ZooKeeper. In practical scenarios, users may start multiple jobs in the same project simultaneously, all of which use the same Apache Curator client. There are certain risks due to the nature of ZooKeeper and the callback method of Curator in a single event thread.
Ehcache
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GC, hands off my data!
I decided to start with an overview of what open-source options are currently available. When it comes to the implementation of the on-heap cache mechanism, the options are numerous – there is well known: guava, ehcache, caffeine and many other solutions. However, when I began researching cache mechanisms offering the possibility of storing data outside GC control, I found out that there are very few solutions left. Out of the popular ones, only Terracotta is supported. It seems that this is a very niche solution and we do not have many options to choose from. In terms of less-known projects, I came across Chronicle-Map, MapDB and OHC. I chose the last one because it was created as part of the Cassandra project, which I had some experience with and was curious about how this component worked:
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Counting faster with Postgres
If the application is a simple two-tier app with only UI and some form of backend, then we can use a caching layer such as EH Cache or Cache tools to maintain the count of rows as and when we insert it. These caches can be backed by persistence so that the data is not lost. Caches are lightweight and pretty fast. Alternatively, one can store the count in the database itself. The key feature of this approach is that the trigger to update the count is the application's responsibility.
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Resume Advice Thread - June 19, 2021
"EHCache" is formally "Ehcache".
What are some alternatives?
Hazelcast - Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
Caffeine - A high performance caching library for Java
kubernetes - Production-Grade Container Scheduling and Management
Zuul - Zuul is a gateway service that provides dynamic routing, monitoring, resiliency, security, and more.
Redisson - Redisson - Easy Redis Java client and Real-Time Data Platform. Sync/Async/RxJava/Reactive API. Over 50 Redis based Java objects and services: Set, Multimap, SortedSet, Map, List, Queue, Deque, Semaphore, Lock, AtomicLong, Map Reduce, Bloom filter, Spring Cache, Tomcat, Scheduler, JCache API, Hibernate, RPC, local cache ...
JGroups - The JGroups project
Vert.x - Vert.x is a tool-kit for building reactive applications on the JVM
Akka - Build highly concurrent, distributed, and resilient message-driven applications on the JVM
Apache Geode - Apache Geode
etcd - Distributed reliable key-value store for the most critical data of a distributed system
Hystrix - Hystrix is a latency and fault tolerance library designed to isolate points of access to remote systems, services and 3rd party libraries, stop cascading failure and enable resilience in complex distributed systems where failure is inevitable.