Writings on building software delivery capabilities and delivering digital & technology outcomes for ambitious organisations.
So you’ve read part one. You see the point of building Extremely Fast Feedback Loops and you want to understand what it costs to have such a test suite. Let’s explore some problems…
When we deliver software, we need to ensure it meets the needs of end-users. The slowest feedback-loop is a “big-bang” release – this is essentially shipping all the features at once after developing for weeks, months or even years. We know this to lead to failure far more often than not… Yet, many teams release software this way, and no we don’t recommend it.
Since we wrote the original article just a little over two years ago, we’ve seen a fairly big shift away from self-hosted tools to feature rich Software as Service (SaaS). We’ve also seen nearly all Continuous Integration (CI) tools blur their lines with Continuous Delivery (CD) providing an all-in-one solution.
We’re excited to announce that we are a Bronze sponsor for this year’s Red Hat Forum UK, on October 9th.
London, UK – 17 July 2018 – Made Tech, a leading UK-based agile software solution provider, is proud to announce the company has achieved Advanced Consulting Partner Status in the Amazon Web Services (AWS) Partner Network (APN). APN Consulting Partners are professional services firms that help customers of all sizes design, architect, build, migrate, and manage their workloads and applications on AWS.
We don’t have to tell you that the world of technology is an ever-evolving landscape of ideas and concepts, and that even when you have a firm intellectual grasp of a technology this knowledge can quickly become outdated. With this in mind, we thought we’d readdress one of our blog posts from 2015 with a fresh, 2018 perspective.
Just over a year ago, I wrote about the lack of diversity at Made Tech and how it was something we needed to work on as a business. We’d recognised our ‘ignorance’ had led to inactivity in identifying problem areas, but once we’d accepted our failures, we had to stop being passive bystanders and actually take active steps to address them.
Coined by Cal Newport in 2012 on his Study Hacks blog, deep work is the ability to reach a state of increased productivity when performing cognitively taxing tasks by minimising or ignoring external interferences. Making deep work the centrepoint of your knowledge work schedule generates three key benefits:
Pairing is a great way to boost productivity and help crack a particularly complex problem.
2017 was a big year for us with a number of successful projects under our belt including writing our second book Building High Performance Agile Teams, adding more great people to our team and launching our new Made Tech Academy initiative.