Continuous Delivery

According to the Standish Groups Chaos Report (2016) 83% of IT projects of medium sized or larger fail, while 58% of moderate sized projects succeed. While the success rate of smaller projects is not amazing either, the correlation of size to failure rate is striking. Apart from size, the greatest reason for failure is lack of user involvement/feedback.
The rate of failure for individual changes follows a similar pattern: The State of Devops (2019) reports that organisations who deliver production software at a frequency between once a month to once every six months have change failure rates in the range of 46-60% with a service restoration time of between 1 week to 1 month. Meanwhile, organisations who deploy “on-demand” at least daily have change failure rates between 0-15% and a service restoration time of less than one hour.

How we can help

We can help you introduce best practices, select technologies & implement processes to minimise delivery sizes and thereby risk of deliveries. Automating Continuous Delivery is just a small part of it. When you are able to deploy on demand and get immediate feedback, other areas of optimisation will become self-evident, driving quality & success that will allow you to stay ahead of your competition.
Contact us for a conversation on what we can do together.

AWS, AWS Serverless

100

Kubernetes, Helm & Docker

100

Tools: Terraform, Ansible, Concourse

100

Other Cloud platforms: GCP, Azure

60
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