Build, measure, learn

Kubernetes has officially gone mainstream - that’s the verdict of the Cloud Native Computing Foundation’s 2021 survey. You certainly don’t go long without hearing about it these days, and it does seem that most of our customers are somewhere on the scale between dabbling in Kubernetes and using it at full production scale.

For many of our clients, Kubernetes is a must-have technology. Almost every large organisation is using it in some way, whether just at the PoC level or in production. The drive towards containers is old news, but the challenges involved in adopting containerisation at scale remain a key topic of conversation.

Why do we use metrics to define our success, but not to establish our priorities? Although we often find ourselves using metrics to determine whether we followed the right path after the journey is complete, qualifying value at both ends of the process would afford us more certainty. There are many reasons why we shy away from using metrics to shape our priorities.

Agile is easy to understand and difficult to do well. Before agile came waterfall — a seemingly great concept for technical delivery. In a nutshell, it focuses on what you want to achieve and uses the time and resources you have to achieve it. Simple enough, right? Anyone who has ever delivered a project will be thinking, ‘Great, if you have sufficient time and resources for the task’.

There is some confusion around agile and prioritisation. When you identify and select the priorities for a project, a common misconception — that “proper” prioritisation goes against the grain of agile — often arises.

Half of all large IT projects massively blow their budgets. On average, large IT projects run 45 percent over budget and 7 percent over time, while delivering 56 percent less value than predicted. 

In this article, we discuss how embedding well-architected reviews into migration projects can help prioritise improvements and reduce the risk of costly issues down the line - such as security incidents, outages, and inefficient use of cloud resources.

Automation Logic are specialists in working in highly regulated enterprise industries. Over the last 12 years, we’ve accumulated our expertise in delivering tailored cloud platforms and we have formed a point of view about what Cloud Landing Zones are and their benefits. 

A good discovery captures the pertinent technical and organisational information needed to plan a successful, de-risked migration. It assesses people, process and technology, providing a crucial health check before undertaking a digital transformation. A successful discovery also informs the outline of a roadmap, outlining the necessary steps to plan and execute their migration.

As the world continues to digitally transform, growth in cloud computing has continued at pace and is now seen as key to organisations recovering from the effects of the COVID-19 pandemic.

By 2025, Gartner estimates that over 95% of new digital workloads will be deployed on cloud-native platforms, up from 30% in 2021.

For many organisations, migrating to the cloud is key to long term business sustainability.