Cloud Data - FinOps is the crucial Ops

The daily hype is all around you.

From private to public cloud, multi-cloud, and even hybrid cloud, you're overrun with information telling you this is the path to your digital future. To complicate matters while you are contemplating these choices, you are expected to keep up your daily tasks of enhancing customer experiences and agile delivery of those applications.

Wrapped up in all this delivery and architectural infrastructure, there's a multitude of decisions around data to be considered when engaging with any cloud experience. There are regulatory and compliance pressures that force you to evaluate how we collect, process, and store our observability data. Understanding the pitfalls around the collection, maintenance, and storage of your cloud data can mean the difference between failure and success within your cloud strategy.

This series is based on a talk given previously in Dublin, Ireland and was brainstormed with my good friend Roel Hodzelmans. The reactions from the audience inspired me to share the concepts in this series.

The first article in this series provided an introduction to cloud and data, what that means in a cloud-native architecture beyond just storage. The second article in this series talked about the forgotten data that is often overlooked when planning for cloud-native solutions. This third and final article explores a new operations role that is going to be the most crucial one in your organization.

Cloud Data - Observability is the forgotten data

The daily hype is all around you.

From private to public cloud, multi-cloud, and even hybrid cloud, you're overrun with information telling you this is the path to your digital future. To complicate matters while you are contemplating these choices, you are expected to keep up your daily tasks of enhancing customer experiences and agile delivery of those applications.

Wrapped up in all this delivery and architectural infrastructure, there's a multitude of decisions around data to be considered when engaging with any cloud experience. There are regulatory and compliance pressures that force you to evaluate how we collect, process, and store our observability data. Understanding the pitfalls around the collection, maintenance, and storage of your cloud data can mean the difference between failure and success within your cloud strategy.

This series is based on a talk given previously in Dublin, Ireland and was brainstormed with my good friend Roel Hodzelmans. The reactions from the audience inspired me to share the concepts in this series.

The first article in this series provided an introduction to cloud and data, what that means in a cloud-native architecture beyond just storage. In this second article, the forgotten data that is often overlooked when planning for cloud-native architectural solutions is discussed.

DevConf.US 2022 - Exploring Open Source Edge Success at Scale (slides)

 As previously posted, DevConf.US 2022 took place this week in Boston, MA.

Together with Ishu Verma, we presented our thoughts and work on developing architectures based on existing edge customers from Red Hat. 

Not only did we share the path taken to develop these architectures, but we also shared the tooling, diagrams, and links to how the audience can get started with the work and tooling. 

Below we've shared the slides from our talk. 

DevConf.US 2022 - Exploring Open Source Telco Success at Scale (slides)

 As previously posted, DevConf.US 2022 took place this week in Boston, MA.

Together with Ishu Verma, we presented our thoughts and work on developing architectures based on existing telco customers from Red Hat. 

Not only did we share the path taken to develop these architectures, but we also shared the tooling, diagrams, and links to how the audience can get started with the work and tooling. 

Below we've shared the slides from our talk. 

Cloud Data - Understanding 3 common pitfalls

 

The daily hype is all around you.

From private to public cloud, multi-cloud, and even hybrid cloud, you're overrun with information telling you this is the path to your digital future. To complicate matters while you are contemplating these choices, you are expected to keep up your daily tasks of enhancing customer experiences and agile delivery of those applications.

Wrapped up in all this delivery and architectural infrastructure, there's a multitude of decisions around data to be considered when engaging with any cloud experience. There are regulatory and compliance pressures that force you to evaluate how we collect, process, and store our observability data. Understanding the pitfalls around the collection, maintenance, and storage of your cloud data can mean the difference between failure and success within your cloud strategy.

This series is based on a talk given previously in Dublin, Ireland and was brainstormed with my good friend Roel Hodzelmans. The reactions from the audience inspired me to share the concepts in this series.

Saying hello to Chronosphere

After writing my last article sharing my decision to leave Red Hat after +13 years, I took a vacation from writing until I could publish an introduction to my new challenge.

Today I'm starting a new and exciting path with Chronosphere, which is the only observability platform that tames rampant data growth and cloud-native complexity. 

For me it's an interesting space to dive into and one that I've been dabbling in with my writing and speaking topics for the last year or so. It's also a place that Red Hat, with a focus on providing infrastructure and cloud-native platforms for your hybrid cloud environments, is not concentrating on.

I'm hoping to share my experiences from both the infrastructure and application development domains, use my open source experiences, and learn as we go in the observability world. I'm very excited to dive into the topics of the day on metics, monitoring, and observability while sharing all of my new insights with you here.

Now, about the new role I'm going to take on.