Congratulations, Kubernetes!
W00t! With the risk of sounding cliche graduation is a very exciting time, it marks both an ending and a beginning. Looking back on my journey with Kubernetes, I have memories of significant milestones for this project like establishing a release cadance and announcing the Certified Kubernetes Conformance Program. There were key lessons along the way, with learning opportunities at every turn. Join me as I talk through some of the most memorable memories and what I have learned from them.
AI technologies and techniques are experiencing a renaissance. Open source technologies and communities have fostered the growth of self-taught machine learning developers with libraries and frameworks. The computing power of the cloud has made the processing of large data sets cost effective and commonplace. As more research continues to be done and shared throughout the communities we will continue to see more intelligent apps driving even greater adoption of open source technologies across all processing platforms.
The National Oceanic and Atmospheric Administration (NOAA) has been a government leader in Open Data for many decades. NOAA’s science-based mission includes, for example, the protection of life and property from weather events, the regulation of marine fisheries in a sustainable manner, the monitoring of climate change, the protection of marine mammals, and the long-term preservation of environmental information. In the course of achieving this mission, NOAA collects, analyzes, synthesizes and distributes many petabytes of data every year, and NOAA has realized the potential value of these data when shared in a full and open manner, with no restrictions on others’ use of these taxpayer-funded data. NOAA’s mission benefits from enabling scientific research in the academic community that ultimately improves NOAA’s products and services to the Nation. The US economy benefits from the jobs created by industry through the provision, interpretation and integration of NOAA open data into a variety of value-added products and services. And our global society benefits through the sharing of these open data which are used by governments and industries alike to evaluate and respond to risks from environmental events such as extreme weather, rising sea levels, threats to food supplies, droughts and floods. A brief history of Open Data in NOAA will be discussed, and a new initiative to realize their full potential through Partnerships that promote the wider use of these data will be described.
Change Healthcare discusses their journey with blockchain technology and their choices along the way.
In 1999, the first edition of Eric S. Raymond’s book “The Cathedral and the Bazaar” was published by O’Reilly Media. Almost 20 years later, most open source coding projects follow Raymond’s “Bazaar” model.
With the rise of cloud-based services and Open Web APIs, it may be time to re-visit Raymond’s 19 “lessons” to see how they can be applied (and/or modified) to fit a world where much of the software we use is no longer installed locally and is often kept out of reach from most developers and users.
It seems each day we learn about bugs or security shortcomings in cloud-based software. And API projects are sometimes cancelled and abandoned without notice. Do we need more “eyes on the code”? Are cloud-based services treating their users like “co-developers”? Are API consumers encouraged to use cloud-based APIs in ways that were “never expected”?
Are we building Cathedrals in the Cloud? More importantly, what can we do to foster a healthy, safe, ethical, and successful Open API Community?
Public Page for this talk is here: http://g.mamund.com/2018-03-osls/
