In this talk, I'll outline some of the work that the Juju team has been doing over the last year to slim Juju down and get it in shape to power the next decade of software operations.
We'll also take a look at some of the work that Canonical is powering internally to develop a suite of robust Data Platform, Observability, Machine Learning and Identity workloads that can be composed to deliver solutions to a huge problem space. To get where we are today, we've had to work hard on our tech, documentation, developer tooling and community which we'll take a look at in detail.
Finally, a look to the future: what are we planning for Juju and the ecosystem over the next year, and what should you be excited about?
Session author bios
Jon is VP Engineering, Enterprise Solutions at Canonical, leading the teams that deliver Juju and a suite of enterprise-ready operators for data platforms, machine learning operations, observability and more.
Following a degree in Computer Science, Jon’s career started at the Royal Military Academy Sandhurst. He joined the Royal Corps of Signals where he played a key role in helping the UK define high-level doctrine for cyber operations and electronic warfare.
While working on next steps beyond the military, Jon spent 3 months participating in the Consensys Tachyon accelerator for early-stage blockchain startups. He subsequently worked for Thales UK, where he designed and built a public-cloud first development platform for UK government projects, bringing modern infrastructure-as-code and immutable infrastructure practices to a wider audience inside Thales.
Linux, open-source and tech interests aside, Jon is a husband and father with a keen interest in coffee, cars and bikes!
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