Ehcache
Hystrix
Ehcache | Hystrix | |
---|---|---|
3 | 19 | |
1,973 | 23,919 | |
1.1% | 0.3% | |
4.6 | 2.7 | |
18 days ago | 8 months 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.
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".
Hystrix
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Ask HN: Modern Node.js Request Fault Tolerance Library?
Oops, forgot to include the Hystrix link, https://github.com/Netflix/Hystrix
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[OC] Gender diversity in Tech companies
They had to figure out video compression that worked at the volume that they wanted to deliver. They had to build and maintain their own CDN to be able to have a always available and consistent viewing experience. Don’t even get me started on the resiliency tools like hystrix that they were kind enough to open source. I mean, they have their own fucking data science framework and they’re looking into using neural networks to downscale video.. Sound familiar? That’s cause that’s practically the same thing as Nvidia’s DLSS (which upscales instead of downscales).
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What is a service mesh?
When breaking up a monolithic app into microservices, the communication between these services becomes vital to the health and performance of the application. Technically, you could incorporate the features to manage this traffic directly into your application. This is what Twitter, Google, and Netflix did with massive internal libraries like Finagle, Stubby, and Hysterix.
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Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System
Hystrix: https://github.com/Netflix/Hystrix Hollow: https://hollow.how/
- Circuit Breaker Explained
- Hystrix
- I love this and wanna build something similar, I know close to zero programming though (thinking about starting)
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A tentative comparison of fault tolerance libraries on the JVM
Have you actually read the article and maybe also https://github.com/Netflix/Hystrix status section??!
I came upon Resilience4J when I was running my talk on the Circuit Breaker pattern. The talk included a demo, and it relied on Hystrix. One day, I wanted to update the demo to the latest Hystrix version and noticed that maintainers had deprecated it in favor of Resilience4J.
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Summary of the AWS Service Event in the Northern Virginia (US-East-1) Region
Netflix was talking alot about circuit breaks a few years ago, and had the Hystrix project. Looks like Hystrix is discontinued, so I'm not sure if there are good library solutions that are easy to adopt. Overall I don't see it getting talked about that frequently... beyond just exponential backoff inside a retry loop.
- https://github.com/Netflix/Hystrix
What are some alternatives?
Caffeine - A high performance caching library for Java
Akka - Build highly concurrent, distributed, and resilient message-driven applications on the JVM
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.
Apache ZooKeeper - Apache ZooKeeper
Redisson - Redisson - Easy Valkey/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 ...
Zuul - Zuul is a gateway service that provides dynamic routing, monitoring, resiliency, security, and more.
Vert.x - Vert.x is a tool-kit for building reactive applications on the JVM
Ribbon - Ribbon is a Inter Process Communication (remote procedure calls) library with built in software load balancers. The primary usage model involves REST calls with various serialization scheme support.
Apache Geode - Apache Geode
JGroups - The JGroups project