Google Cloud Platform Unveils New Developer Tools, Services
Google I/O news also includes a successor to MapReduce, new cloud diagnostic tools, easier App Engine integration for mobile apps and a new cloud debugger.The Google Cloud Platform announcements made at the Google I/O 2014 developers conference include a raft of new tools and services aimed at helping with data handling, application development and more. One of the key tools unveiled so far is Google Cloud Dataflow, which is seen by Google as a successor to the popular MapReduce service, Greg DeMichillie, director of product management for the Google Cloud Platform, wrote in a June 25 posting on the Google Cloud Platform Blog. Cloud Dataflow, which was demonstrated publicly here for the first time, is a managed service that developers can use to create data pipelines that analyze data in both batch and streaming modes, wrote DeMichillie. "A decade ago, Google invented MapReduce to process massive data sets using distributed computing," he wrote. "Since then, more devices and information require more capable analytics pipelines—though they are difficult to create and maintain." That's where Cloud Dataflow will help, he wrote."Cloud Dataflow makes it easy for you to get actionable insights from your data while lowering operational costs without the hassles of deploying, maintaining or scaling infrastructure. You can use Cloud Dataflow for use cases like ETL, batch data processing and streaming analytics, and it will automatically optimize, deploy and manage the code and resources required."
Another key new tool introduced at the event is Google Cloud Monitoring, which can help users find and fix unusual behaviors across their application stacks, wrote DeMichillie. "Based on technology from our recent acquisition of Stackdriver, Cloud Monitoring provides rich metrics, dashboards and alerting for Cloud Platform, as well as more than a dozen popular open-source apps, including Apache, Nginx, MongoDB, MySQL, Tomcat, IIS, Redis, Elasticsearch and more. For example, you can use Cloud Monitoring to identify and troubleshoot cases where users are experiencing increased error rates connecting from an App Engine module or slow query times from a Cassandra database with minimal configuration."