January is the time of year when everyone weighs in with predictions about the adoption of new technologies and the likely winners and losers in tech markets. The buzzwords, this year, seem to be software automation, IoT, machine learning, data analytics and orchestration. All these have implications for, and are dependent on, DevOps in one form or another.
Rather than adding to the list of predictions we have decided we’ll use one of the most thoughtful lists we have come across, from Xebia Labs. Over the course of the next few weeks we’ll be assessing and commenting on the implications for organisations of what Xebia Labs are predicting.
One of the key predictions they foresee is the rise of a next generation platforms. We will start by looking at moves to improve orchestration and cross-machine resource management and scheduling frameworks. Automation of all parts of the software lifecycle is high on the agenda and we’ll be looking at how important this will be for your DevOps strategy in 2017.
Will software apps, as sets of inter-related processes with standard APIs, become the norm in 2017? The idea has been around for some time but new APIs tend to be baked for each new application. Xebia think that may be about to change. We’ll assess the challenges and opportunities in adopting a true services integration model.
In the past couple of years DevOps has moved from a way of developing new mobile and cloud based apps, to a development culture that embraces the whole of business and the IT organisation. In these circumstances issues around migration, transformation, performance, security and governance all take on greater significance. How organisations merge the old with the new, work out what to migrate and how to provide the controls the business demands, while maintaining the speed and agility it now craves, will be the subject of a number of articles based on some of the Xebia Labs predictions.
The growth of Big Data and improvements in machine learning have led to the increased importance of business analytics. This has brought new challenges and pressures around testing, Continuous Integration and Continuous Delivery. On the hardware front, server-less computing looks set to move beyond interesting debates into broader deployment, with implications for those tasked with designing and building IT architectures.
Underpinning all that we have highlighted here is a need to monitor and analyse an increasingly automated DevOps environment. How you collect, analyse, report and act on that data will not only be important for working out what works and what doesn’t, but also for demonstrating the value of DevOps to the business.
You can read the actual Xebia Labs predictions here. If you want to keep up to date with our ongoing analysis of the key DevOps predictions, please sign up for our regular newsletter. If on the other hand, you can’t wait to get our take in the newsletter and need help and guidance working through the implications of the predicted developments in DevOps for your business, please contact us on
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