Every CIO must read this post - CIO must-dos for 2018

The best time that I spend on my way to work reading blogs and sharing information, the byproduct a few must reads for almost anyone who wants an answer to where is technology going in the near future:

IT goals for 2018: Five CIO must-dos For me, 2017 was a good year. We got a lot done. And the situation in the world -- everything moving at a faster... pace, constant change, new types of security threats, new technologies, new vendors, acquisitions, the on-going IT skills shortage and so on -- made it easier for me to make the case that we urgently needed to overhaul our organizational culture, processes and technologies.
Top 10 blog posts of 2017 illuminate top CIO goals SearchCIO's most popular blog posts of 2017 point to a set of lofty -- and mandatory -- CIO goals: artificial intelligence,... digital transformation, multicloud management. IT leaders are learning all they can about these tech trends. The aim? To help their companies gain business advantage -- before their compet…

Curated list of all possible Testing tools via the Test Pyramid

Based on the testing pyramid by Martin Fowler , I decided we need something similar that gives us a reference to all possible tools for each layer of the pyramid.

and a similar one for mobile devices and Non Functional testing.

Here is a curated list of all possible testing tools classified by the pyramid as a reference:

TestingToolsviaTestPyramid List of all testing tools in every programming language , based on the Testing Pyramid Let's finish this list! Click on each slice of the pyramid to see what tools do we have in that space Automated GUI TestsAutomated API TestsAutomated Integration TestsAutomated Component TestsAutomated Unit TestsAutomated Database TestsFramework - Reporting / CI / LiveDoc / Code AnalysisAgnostic FrameworksReportingDocumentation Code AnalysisContinuous IntegrationNon Functional Testing - Performance / SecurityNFR Mobile

What was once seen as a bottleneck will now become a ‘corkscrew’

One last blog post before the year ends and we start a new beginning in the testing world, this article sums up where testing is headed to!

Complexity, testing and its impact on innovation in 2018 Commercial industry has been fundamentally changed by digital technology. The most revolutionary organisations, like Uber and Netflix have shifted the goalposts, moving entire businesses online and introducing accessible, engaging and immersive consumer experiences. And, while tech innovation has historically happened at a discrete product or operational level, today it's taking place across an entire business - and beyond.

Machine Learning or Automation? Exactly my thoughts!

Perfect start to Monday! Quick read that syncs the idea of how AML would be used in shaping the future of software testing:
Machine Learning or Automation: What's the Difference? There's a lot of buzz in the tech industry, especially with cutting-edge technologies like artificial intelligence and machine learning becoming more mainstream. While many professionals understand that these technologies will make their jobs easier, or even take over certain tasks, there's also a lot of confusion: machine learning, automation - what's the difference between the two?

Top 10 CI systems with Git

GitHub welcomes all CI tools Continuous Integration ( CI) tools help you stick to your team's quality standards by running tests every time you push a new commit and reporting the results to a pull request. Combined with continuous delivery ( CD) tools, you can also test your code on multiple configurations, run additional performance tests, and automate every step until production.