Aditya Garg
Director and Principal consultant
QAAgility Technologies Pvt Limited
location_on India
Member since 7 years
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Aditya Garg
Specialises In (based on submitted proposals)
Aditya has over 19 years of IT experience and he has been a test architect and principal consultant excelling in designing, strategizing and architecting manual and automation testing solutions. His primary focus has been in the area of establishing and leading testing center of excellence and practices, managing large IT projects, undertaking testing process studies using Six Sigma, CMMi and TMM models, proposing QA solutions, performance engineering and architecture reviews, designing automation frameworks, exploring open source test automation tools/frameworks and Business development.
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IoT Trends - Demo using Raspberry Pi - Extreme high relevance of DevOps in the IoT space
Aditya GargDirector and Principal consultantQAAgility Technologies Pvt LimitedHarsh Shahschedule 5 years ago
45 Mins
Demonstration
Intermediate
The Live Demo Presentation will try to bring out the following
1. Talk about the latest trends and use cases of IoT (5 to 7 minutes)
2. Show a live demo of IoT in action using Raspberry Pi (15 minutes)
3. Talk about extremely high relevance of feedback loop, Automation (Agile and DevOps in IoT) (15 minutes)
4. Show some cool fun usecases of Raspberry Pi folks have implemented in their non-iot DevOps projects (5 minutes)Total Duration 45 Minutes
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Big Data - Hadoop and MapReduce - new age tools for aid to testing and QA
Aditya GargDirector and Principal consultantQAAgility Technologies Pvt Limitedschedule 7 years ago
45 Mins
Talk
Intermediate
BigData with its slew of technologies and terms has been the most talked about area in last couple of years. This has evolved in Big Data Science, Analytics and now on the IoT and automation side. There is a need for testers and QA team to not only get used to this new age digital transformation area but at the same time embrace the technology to their own advantage. We have experimented and successfully used Big Data Technologies – Hadoop and MapReduce for a recent testing engagement. The actual application was implemented using classic technologies like CentOS and C++. Testing team implemented Hadoop and MapReduce to help in quick turnaround for the testing. We would like to showcase the entire case study on how the tools and technologies came in handy for a High Frequency Trading (HFT) application and had we not implemented the same what would we have missed. We would also share the entire CentOS/Hadoop/MapReduce VM with the participants. This would require the attendees to bring their own laptop with at least 4GB RAM (Available) so that they do some hands on exercises that we would like to share.
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