Build and optimize data pipelines, create mobile applications, and debug, trace, and monitor your cloud applications in production.

As you can observe here, progressively developers are invaded by a set of tools and solutions, technologies and methodologies, when it comes to help them build and optimize data pipelines, create mobile applications, and debug, trace, and monitor their cloud applications in production.
This is a sign of maturity of this industry.

At Google, henceforth they talk about Google CloudDataflow, the new services that help developers build and optimize data pipelines, create mobile applications, and debug, trace, and monitor their cloud applications in production.

Our interest for the Google I/O, leads us to witness the demonstration of Google Cloud Dataflow for the first time. Cloud Dataflow aims to be a successor to MapReduce, and is based on Google’s internal technologies like Flume and MillWheel.

With Cloud Dataflow, you can:

·        Get actionable insights from your data ,

·         You can use Cloud Dataflow for use cases like ETL, batch data processing and streaming analytics.

Connectikpeople.co soon Retinknow® has also captured several new Cloud Platform tools that let developers understand, diagnose and improve systems in production.

This means, you can use inter alia, 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.

With Cloud Trace, you can visualize and understand time spent by your application for request processing. You can also compare performance between various releases of your application using latency distributions.

Regarding the Cloud Debugger, it is a new tool to debug your applications in production. Cloud Debugger can give you a full stack trace and snapshots of all local variables for any watchpoint that you set in your code while your application continues
to run undisturbed in production.