Pepperdata, the DevOps for Big Data company, today announced Pepperdata Code Analyzer for Apache Spark, which provides Spark application developers the ability to identify performance issues and connect them to particular blocks of code within an application. Code Analyzer is a new product that follows on the heels of Pepperdata Application Profiler, which provides Hadoop and Spark developers with actionable recommendations for improving job performance.
‘One of the most significant challenges in Big Data is achieving optimal performance,’ said Ash Munshi, CEO of Pepperdata. ‘Code Analyzer fills a huge void in application development for Spark, helping developers optimize Spark applications for large-scale production. Developers are now empowered to improve the performance of Spark applications with new information and insight around the code, build, test and release phases’.
