Tag: monitoring
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 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 370: Chris Richardson on Microservice Patterns
Chris Richardson of microservices.io and author of the book Microservices Patterns discuss microservices patterns which constitute a set of best practices and building-block solutions to problems inherent in building applications out of small coordinated services. Host Robert Blumen spoke with Richardson about the evolution of microservices, community adoption of best practices, patterns for inter-service communication […]
Episode 367: Diomidis Spinellis on Debugging
Felienne talks to Diomidis Spinellis about debugging. The discussion covers: defining “debugging” which can mean using a debugger or the process of finding and removing bugs; how is it done best; variation across different programming languages or paradigms; debugging different types of applications; tools for debugging: print-statements, version-control systems, operating system tools. Assessing debugging skills […]
