Today, 23 June 2022, I spoke at the OpenShift Commons event in Dublin.
It was open to all community participants: users, operators, enterprises, non-profits, educational institutions, partners, and service providers as well as other open source technology initiatives utilized under the hood or to extend the OpenShift platform.
I shared some insights into cloud, public cloud, and the way cloud data is having a huge impact on our organizations. I pointed out three aspects to show how sometimes we are missing a very crucial aspect of our usage (and the cost) of data in the cloud. It's not just about storage, but observability and some of the choices we make when collecting metrics on our cloud applications.
Below you'll find the abstract and slides I used in Dublin and I hope you enjoy them.
This story is about the pitfalls of cloud data and what you can learn from others that have gone before you, so be sure to join me in Dublin.
3 Pitfalls Everyone Should Avoid with Cloud Data
The daily hype is all around you. From cloud, multicloud, to hybrid cloud, this is the path to your digital future. These choices you’ve got to make don’t preclude the daily work of enhancing your customer's experience and agile delivery of those applications. With all this delivery and infrastructure, there is a lot of data to consider when engaging with any cloud experience. Regulatory and compliance pressures force us to store audit and observability data. Understanding the pitfalls around the collection, storage, and maintenance of our data can mean the difference between bankruptcy and success with our cloud strategy. Let us take you on a journey, looking closely at the decisions being made for delivering and dealing with monitoring those applications. Join us for an hour of power, where real customer experiences are used to highlight the three top lessons learned as they transitioned their data needs into cloud environments.
If you couldn't make it, reach out and I'm happy to share this topic with you at your local event.
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