Many companies that are undergoing a digital transformation are discovering that it is an endless endeavour. Technological innovation allows a company to become more responsive to change in their business domain, but also makes it subjective to progress in the underlying technical implementation. A lot can be said for the delivery pipeline optimizations that help deliver business value more efficiently, but how does your organisation keep up with technological innovation?
Posts by Jasper Bogers
When you start work on a product, your velocity may be low and not reflect the investment you need to make to have proper continuous delivery. Here’s an idea to make it visible.
The Scrum guide by scrum.org doesn’t mention spikes, but it has something else: the Product Backlog Refinement. And this often gets mistaken for a Scrum Event that puts the entire Development Team in a room with the Product Owner for half a day a week. The entire team then looks at the top of the product backlog and tries to uncover all the details there. They do this until enough uncertainties are uncovered and the team feels confident it can estimate. It gets worse when there is a project manager on board who needs estimations to discuss budgets and delivery dates before deciding whether he wants a story at all. This way, you end up spending a lot of time on value you’re not delivering. At some point, somebody will say: This is taking too long; let’s make it a spike and move on. And that’s not what spikes are for.
Most companies have security compliance requirements that you need to take into account when creating your software. Similarly to how you can express infrastructure and tests as code, you can shift left security compliance concerns into your development team. This blog shows how a team I worked in used Ansible in a (GitLab) delivery pipeline to create compliant Amazon Machine Images (AMI) containing our application.
After the success of agile transformations that gave organisations the ability to respond to a change in the market more quickly and frequently, the last decade saw DevOps emerge as another magic wand. While valuable by itself, DevOps should actually be treated as one of many aspects of the Shift Left paradigm applied to the full software delivery life cycle. Patrick Debois, Andrew Shafer, John Allspaw and Paul Hammond coined the word DevOps around 2008. It comes down to the insight that combining the disciplines of development and IT operations by removing the thresholds between them allows for the elimination of waste and improvement of quality and speed of software delivery. The concept of Shift Left comes from the field of testing and boils down to the idea that the earlier in the software life cycle a fault is found, the cheaper it is to fix it. The accompanying model for this concept is that the process for delivering software goes from left to right as it goes from concept to cash.