Managing application SLAs using Traces and Metrics

Service level agreements (SLAs) are critical for anyone delivering a service, and the way we manage these is also changing with our shift from traditional operations towards site reliability engineering (SRE). With newer methodologies, such as SRE, the concepts of SLAs are changing towards error budgets. Our tools are also evolving to enable us to measure SLAs is by using observability tools, increasingly we are building this on open source technologies to match our cloud-native architectures to collect logs, metrics, and traces. Most vendor tools collect lots of data across the various data sets. The challenge is that very few tools provide good guidance and capabilities around SLA management. When the tools provide this, they are often missing additional data types. In this session, a template to help users manage SLAs and SLOs with various open-source tooling and where these are going. There will be examples of how this is done with various open-source tools including Grafana, Jaeger, and Prometheus.

More about Jonah Kowall

Jonah Kowall a computer scientist and open-source contributor committing code to FreeBSD and built the first wireless cracking algorithms. Today Jonah focuses on observability contributing and maintaining projects such as OpenSearch, Jaeger, and OpenTelemetry. Jonah received his CISSP and CISA along with several certifications and awards. Throughout 15 years as a practitioner and manager across startups and large enterprises specialized in operations, security, and performance. In 2011 Jonah changed careers, moving to Gartner to focus on availability and performance monitoring and IT operations management (ITOM). Speaking and writing research globally for IT leaders and CIOs. In 2015 Jonah joined AppDynamics driving corporate development, product strategy, and vision. Cisco acquired AppDynamics in 2017 for $3.8b. Jonah then joined Kentik as CTO and executed the product vision and strategy. In 2020 Jonah joined as CTO to drive strategy and ecosystem for their open-source based SaaS observability platform.