Operations | Monitoring | ITSM | DevOps | Cloud

Webinar Recap: How to Manage Telemetry Data with Confidence

In our recent webinar hosted by Bill Balnave, VP of Technical Services, and Brandon Shelton, our Solution Architect, we discussed how data's continuous growth and dynamic nature cause DevOps and security teams to lose confidence in their data. The uncertainty about the content of telemetry data, concerns about its completeness, and worries about sending sensitive PII information in data streams reduce trust in the collected and distributed data.

Webinar Recap: Myths and Realities in Telemetry Data Handling

Telemetry data is growing exponentially, but the business value isn’t increasing at a similar pace. Getting the right telemetry data is hard, so I recently had a conversation with Matt Aslett, Director of Research at Ventana Research, now a part of ISG, about five myths and realities in telemetry data handling.

Understand & Optimize Your Telemetry Data (Subtitled)

The explosion of telemetry data also massively increases your data bill. Teams also cannot control the data they do not understand and often lack the capabilities to act on it once it is understood. Mezmo makes it easier to understand and optimize your data. It helps reduce unnecessary noise and cost, and improve the quality of your data, so that your developers and engineers can consistently deliver on their service level objectives.

Managing Telemetry Data Overflow in Kubernetes with Resource Quotas and Limits

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.

How To Optimize Telemetry Pipelines For Better Observability and Security

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.

Data Profiling The Secret Map of Your Telemetry Data Landscape

As data volumes proliferate and costs of data grow, it's becoming increasingly difficult to find the signal in all the noise. Telemetry data -- metrics, logs and traces -- are key to making sound, data-driven decisions, troubleshooting systems issues and maintaining uptime, but it's easy to get overwhelmed. Data profiling shows you exactly where your good data is coming from, how to save what's relevant and discard what's not and slash your data management and storage expenses.

My Recap on the Gartner IT Infrastructure, Operations & Cloud Strategies Conference

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.

AWS re:Invent 2023 highlights: Observability at Stripe, Capital One, and McDonald's

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. ‍