For operational telemetry data pipelines, Vector emerges as a pivotal tool, acclaimed for its robust performance and adaptability.

One of the inherent challenges you'll face when working with Kubernetes is that a typical cluster includes many resources that produce telemetry data. Because producing and moving telemetry data consumes resources, you can end up in situations where different workloads are competing for the resources necessary to manage telemetry data.

Tucker Callaway (CEO, Mezmo) and Kevin Petrie (Vice President of Research, Eckerson Group) had a conversation centered around enterprises taking control of their data and the growing need for consolidated collection and management of telemetry data. They discuss how enterprises can optimize telemetry pipelines, take charge of their data, and enhance their observability and security game.

Last week, I attended the Gartner IT Infrastructure, Operations & Cloud Strategies Conference (IOCS). Gartner IOCS is my favorite conference every year because of the quality and level of the presentations. Gartner analysts deliver most sessions and put a lot of effort into the presentations and supporting research. ‍ I’d like to highlight two sessions that I found to be very informative.

Last week, I attended the Amazon Web Services (AWS) re:Invent conference in Las Vegas, NV, with 50,000+ others. It was quite a busy week with several keynotes, announcements, and many sessions. While the hot topic at re:Invent was generative AI, I’ll focus my blog post on a few customer sessions I attended around observability: Stripe, Capital One, and McDonald’s. ‍

The ability to swiftly resolve incidents is central to SREs responsible for a service's reliability and its users' satisfaction. Mezmo has recognized this need and, at Kubecon, unveiled an innovative solution: Mezmo Responsive Pipelines. Responsive Pipelines enable users to pre-configure a Pipeline to respond automatically in the case of an incident.

I went to my first Kubecon ever this last week. If you’re not familiar with Kubecon, it is a convention that is around Kubernetes, a Cloud Native Community Foundation (CNCF) open source project. With this being my first Kubecon ever, it was an adventure all around building community, education, kindness, and of course, a love for Kubernetes technology.

Adapting to efficient ways to build and control pipelines is vital to businesses aiming to ensure streamlined data operations and maintain a competitive advantage. That’s why we’re introducing Mezmo Pipeline as Code—a transformative approach to pipeline management.

We recently had the privilege of presenting our telemetry data pipelining platform at Cloud Field Day. Today, we'd like to share a recap of our demo with you. In this demo, we explore the transformative potential of data profiling, telemetry pipeline optimization, and incident response. Foundationally, we follow an Understand, Optimize, and Respond workflow.

Kubernetes (K8s) is at the forefront of modern infrastructure, but with its capabilities comes a deluge of telemetry data. Efficiently managing and optimizing this data is crucial to harnessing the full potential of your Kubernetes deployments.