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GEEK POST ALERT

I live in Melbourne (Australia) and if you do know we are known to be the city of all weathers …. in one day. Yeah it can be quite good and bad at times (bad most of the times) because you are either freezing or burning.

Two words : C.L.I.M.A.T.E C.H.A.N.G.E

Anyway that is a topic in itself for another day.

So its the end of September, Spring is here and in theory we should expect good sunny days however the South-East of Australia is being hammered by a “COLD FRONT” and with that we have “Spring-time snow”. We have gas heating at our home but at times like these (especially after the Covid-19 home-arrest started), the bills have been rising.

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Is Continuous Performance Testing reducing time spent on analysis?

This has been a passionate topic for me especially since the last couple of months where I have spent a good amount of time trying to justify that continuous performance testing cannot replace the amount of time we need to spend on analysis. And at times we have ended up learning the hard way.

Late last year I started working for a team that was responsible of transforming an on-premise monolith middle-layer into cloud based microservices with the biggest motivation being reduction in cost and delivering a resilient, highly available and reliable architecture. Who doesn’t love the sound of that until you understand the mammoth task it really is. A 21-gun salute to the architect(s)/designers who took up this task. I stand by you.

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Don’t FOCUS on the Tool

When I talk to technologists at meetups and technical conferences about the importance of Performance testing, its interesting to hear a majority of them believe that ‘Performance Testing is all about using an automated tool’ to do the job. I thought its time to address this in a blog where I take on different perspectives and the amount of importance a tool needs to be given.

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The Data Age

I’m sure you must have heard about the latest buzz on Data science and how Machine Learning and Deep Learning is enhancing the way we use data to make machines smarter. There has been a sudden surge in demand for Data Scientists that got me interested. I hadn’t really looked at Machine Learning until I attended the AWS DevDay conference here in Melbourne and was awestruck at their capabilities and emphasis on Data science. I did have a brief understanding earlier but by the end of the day I realised that we are beyond the Digital Age; we can fairly say we are now headed towards the “Data Age”.

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