CLion 20172 also comes with a new quickfix to pr

CLion 20172 also comes with a new quickfix to pr

first_imgCLion 2017.2 also comes with a new quick-fix to preserve non-trivial constructor calls on an unused variable. Major highlights in IntelliJ IDEA 2017.2 include smarter coding assistance, a “neater” UI, and performance updates. This version also comes with smarter code completion and control flow analysis. Smart Completion becomes aware of builder classes and suggests chains of method calls on its first call, and control flow analysis is smart enough to detect a wider array of problems, especially problems related to booleans, strings, arrays, lists, and maps. IntelliJ IDEA was updated with inspections and quick fixes, refactorings, Spring Boot actuator endpoints, Kotlin 1.1.3 support, Groovy 2.5.0 support, a new user interface with a Windows 10 native look and feel, and JavaScript and TypeScript improvements. JetBrains released version 2017.2 for its cross-platform C/C++ IDE CLion this week. In addition to C++ correctness and performance improvements, JetBrains also updated its IntelliJ IDEA product with new features and bug fixes. In CLion 2017.2, developers will see better code quality with new Clang-Tidy integration. CLion has more than 30 built-in code inspections to alert users to unused code and uninitialized variables, and it also performs Data Flow Analysis to “catch infinite recursion, endless loops, missing returns, and unreachable code,” wrote JetBrains’ Anastasia Kazakova. In the near future, JetBrains is planning a major overhaul of CLion’s C++ parser. According to Kazakova, the team wants to make sure it is correct on each level, uncovering any hidden problems. For now, CLion 2017.2 brings in fixes to various parts of the C++ parsing and resolving engine, which means reduced number of false-positive code analysis checks, more accurate navigation, refactorings, and more, according to Kazakova. last_img read more

NodeSource has announced the release of its platfo

NodeSource has announced the release of its platfo

first_imgNodeSource has announced the release of its platform for managing, securing and analyzing mission-critical Node.js apps. N|Solid 3.2 features new diagnostic functionality and an improved UI for monitoring and managing large-scale Node.js deployments. “As our customer base has grown along with the Node.js ecosystem, we saw the need for more powerful monitoring and management functionality in N|Solid, especially at the enterprise level,” said Thomas DeMeo, vice president of product for NodeSource “Among other major enhancements, N|Solid 3.2 delivers a more intuitive, interactive experience that makes working with Node.js applications faster and easier. It also provides more flexibility to explore Node.js metrics that no other tool can expose.”Other features include CPU profile visualizations, CPU profiles and heap snapshots and five saved view presets. Instana announces AI-powered monitoring for AWS LambdaAPM provider Instana has announced it is extending its performance monitoring solution to support AWS products including Amazon’s serverless computing platform AWS Lambda. Instana’s AI-powered APM solution is now also available through the AWS marketplace. “More business applications are operating in a hybrid environment, incorporating traditional monolithic applications, wrappered with a new microservice stack, and using native AWS services. It’s now also common to see customers starting to use AWS Lambda Functions for specific microservices as well,” said Mirko Novakovic, Instana CEO. “This level of complexity requires the ability to monitor the whole environment with a single solution that can give DevOps the required observability to see and address problems, no matter where they reside.”New AWS capabilities include continuous automatic discovery of components, and insight into configuration, performance and health of each platform. Microsoft updates Azure Databricks Microsoft has announced new capabilities to the Azure Databricks solution. Azure Databricks is designed to combine the Apache Spark analytics platform with Microsoft Azure. The latest updates include support for GPU enabled virtual machines, and a new runtime for machine learning. The runtime provides a distributed, multi-GPU training of deep learning networks and comes pre-installed and pre-configured. “This runtime enables developers to build deep learning models with a few lines of code. Previously, developers had to invest considerable time and effort to leverage these toolkits. Now, they no longer have to write their own logic to load data, distribute training code to multiple clusters and validate model accuracy,” Rohan Kumar, corporate vice president of Azure Data, wrote in a post. Microsoft announces phase two of Project Natick Microsoft is one step closer to building and deploying its underwater datacenter. Microsoft announced it has an “experimental, shipping-container-size prototype” processing workloads on the seafloor. “The deployment of the Northern Isles datacenter at the European Marine Energy Centre marks a milestone in Microsoft’s Project Natick, a years-long research effort to investigate manufacturing and operating environmentally sustainable, prepackaged datacenter units that can be ordered to size, rapidly deployed and left to operate lights out on the seafloor for years,” the company wrote. Phase one of the project was to show that the underwater datacenter was possible. Phase two will focus on researching whether it is logistical, environmentally and economically practical. SmartBear SoapUI Pro 2.4SmartBear announced the release of SoapUI Pro. SoapUI Pro is an automated API testing tool. The latest version 2.4 features a new native Jenkins plugin and improved API discovery. In addition, it provides easy-to-use API testing capabilities for teams that want to move from manual to automated testing. “The new API Discovery capability in SoapUI Pro can help bridge the gap between QA and development teams giving QA team members a fast lane to begin testing their REST and SOAP API calls and introducing quality earlier in the development process,” said Christian Wright, EVP and GM, API business at SmartBear.last_img read more