Tag: devops
Episode 457: Jeffery D Smith on DevOps Anti Patterns
Jeffery D Smith, author of Operations Anti-Patterns, DevOps Solutions, discusses anti-patterns in software development organizations and how they can be fixed. Host Robert Blumen spoke with Smith about why he chose to focus on what can go wrong; fixing things that are broken in your organization; information hoarding; why important information about systems can be […]
Episode 455: Jamie Riedesel on Software Telemetry
Jamie Riedesel, author of Software Telemetry Book, discusses software telemetry, why telemetry data is so important, and the discipline of tracing, logging, and monitoring infrastructure. Host Gavin Henry spoke with Riedesel about what telemetry is, the different ways to scale it, the tools involved, security and privacy considerations, centralized logging, types of metrics, observability, distributed […]
Episode 440: Alexis Richardson on gitops
Alexis Richardson of WeaveWorks discusses gitops. GitOps is a deployment model for infrastructure and applications in which commits are approved and landed in a git repository, and a deployment agent continuously applies the latest commit from the repository to production. Host Robert Blumen spoke with Richardson about the origins of the gitops approach, at what […]
Episode 429: Rob Skillington on High Cardinality Alerting and Monitoring
Rob Skillingon discusses the difficulty of scaling monitoring and alerting to high dimensional spaces, as are typically found in modern applications at scale. High cardinality versus high dimension spaces. The episode begins with a review of monitoring, metrics, metadata, and alerting. How do things change at scale? Filtering signals out of high-dimension data sets. When […]
Episode 424: Sean Knapp on Dataflow Pipeline Automation
Sean Knapp, CEO of Ascend.io, discusses data pipelines and data pipeline automation. Sean spoke with Host Robert Blumen about the ubiquity of data pipelines; what data pipelines do; where the data comes from, how it is transformed, where it goes; and what it is used for (analytics, machine learning, reporting, alerting, business intelligence). Semi-automated and […]
