5 New Tools Java Developers Should Know

If you’ve missed it, then Rebel Labs recently released the results of a global poll of the Java tools and technology landscape. Alongside the big names and established tools, the market is bubbling with fresh instruments and frameworks that not so many individuals know of (yet). In this informative article, I decided to collect a shortlist of these tools, most of them launched just lately. Some are Java-specific and a few support other languages as well, but they are all good for Java jobs and discuss a vision of simplicity. Let’s roll. 

  1. JClarity — Performance Monitoring

Launched last September, JClarity is now offering two goods around Java performance: Illuminate and Census. Illuminate is a performance monitoring tool, while Censum is an program focused on garbage collection logs analysis. More than just collecting data or imagining it, the two tools provide actionable insights to solve the issues they detect.
2. Bintray – Social Platform for Binaries
Java developers are being stored in the dark in a way when importing libraries from”anonymous” repositories. Bintray adds a head to the code and actually, serves as a social platform for developers to discuss open-source packages (Did someone say GitHub for binaries? Login with GitHub for the entire inception result to kick in). It has over 85,000 bundles in 18,000 repositories, while showcasing popular repositories and new releases.
3. Librato — Tracking & Visualization Cloud Services

A hosted service for monitoring and managing cloud applications, Librato can produce customized dashboards in moments without a need to prepare or deploy any software. Oh, and it only looks and feels really buttery smooth in contrast to other dashboards. “Data is only as valuable as the actionable insights you are able to surface out of it”, states Joe Ruscio, Co-Founder & CTO.

4. OverOps — Error tracking and analysis

OverOps was built with a simple objective in mind: Notification developers exactly when and why manufacturing code breaks. Whenever a new exception is thrown or a log error occurs — OverOps catches it and shows you that the variable state which caused it, across machines and methods. OverOps will overlay this over the authentic code that implemented at the moment of error — so you can examine the exclusion like you were there as it occurred.

5. Elasticsearch — Search & Analytics stage

Elasticsearch has been around for a while, but Elasticsearch 1.0.0 was released just recently in February. It’s an open-source endeavor built on top of Apache Lucene and hosted on GitHub with over 200 subscribers. You may check out the code right here. The main promise Elasticsearch supplies is not difficult to use scalable distributed RESTful search.

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