Ehcache
Apache JMeter
Ehcache | Apache JMeter | |
---|---|---|
3 | 27 | |
1,966 | 7,959 | |
0.7% | 1.2% | |
5.2 | 9.3 | |
25 days ago | 5 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.
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".
Apache JMeter
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Should You Use Ruby on Rails or Hanami?
You could use many methods to run performance tests on your app, one of the most popular being Apache JMeter. Let's use the benchmark numbers to compare Hanami and Rails.
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Ask HN: What are you using for load testing?
Usually, I would let organic users be my load test. However, I am working on a project that has an anticipated load on a new-to-my-team stack, so I'm looking into ways to load test.
I've seen tools like k6 (https://k6.io/), Artillery (https://www.artillery.io), and JMeter (https://jmeter.apache.org/).
I've been using Artillery, but it's hard to visualize the results.
What do you use?
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What is Load Testing? Complete Tutorial With Best Practices
Apache JMeter: This tool is an open-source application built on Java, designed specifically to test load functionality and performance. Developed by the Apache Software Foundation, JMeter is versatile, able to simulate loads across a wide range of services and protocols such as HTTP, HTTPS, JDBC, LDAP, and SOAP. With an extensible core that can be tailored with plugins, it provides the flexibility needed for different testing scenarios. Its intuitive GUI makes it easy for testers to design test plans and visualize the results in various ways.
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Lambda to S3: Better Reliability in High-Volume Scenarios
I'll use Apache JMeter to do this experiment:
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ssd + cpu vs nvme + premium cpu - benchmark results for wordpress
Thanks for the tip. Hows that compare to this tool? https://jmeter.apache.org/
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Mastering API Stress Testing With JMeter’s HTTP(S) Test Script Recorder And Postman Proxy
Apache JMeter: Download and install JMeter from the official website (https://jmeter.apache.org/). Java Development Kit (JDK): JMeter requires Java, so ensure you have the latest JDK installed on your system. Postman: Install Postman from the official website (https://www.postman.com/downloads/).
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GC, hands off my data!
The test scenario consists of querying for descriptions of different offers. During the test, I will collect data on memory and GC parameters using jConsole. I will run the test scenario using jMeter, which additionally will allow me to measure response times.
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Tell HN: Postman just wiped all my stuff
FYI some of our people internally use Jmeter. https://jmeter.apache.org/
It's not flashy so it probably wont get the standard "we are going to milk you for data" plan
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What's new in Apache JMeter 5.6?
Issue #5682Pull request #717 - Open Model Thread Group: avoid skipping rows from CSV Data Set Config
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Best Practices in Testing GraphQL APIs
Performance and load testing are essential parts of GraphQL API testing. It ensures APIs can handle expected traffic volumes and respond within acceptable timeframes. You can use tools like Apache JMeter or Gatling to generate realistic loads and evaluate the API's performance under different scenarios. Techniques like batched queries and caching can help mitigate this issue.
What are some alternatives?
Caffeine - A high performance caching library for Java
Karate - Test Automation Made Simple
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.
TestNG - TestNG testing framework
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 ...
Cucumber - Cucumber for the JVM
Vert.x - Vert.x is a tool-kit for building reactive applications on the JVM
WireMock - A tool for mocking HTTP services
Apache ZooKeeper - Apache ZooKeeper
REST Assured - Java DSL for easy testing of REST services
Apache Geode - Apache Geode
JUnit - A programmer-oriented testing framework for Java.