Track Overview
Debug, Analyze & Optimise... in Production!
Reaching production is only the beginning.
Even when we spend the most dedicated effort in design, architecture and testing, there is no perfect substitute to seeing applications run in production, exercised by real-users in the chaos of distributed systems.
In this track, we’ll learn how high-performing teams embrace this unpredictable side of production environments and how they build systems that can be observed and responded to in real-time.
From this track
Profiles, the Missing Pillar: Continuous Profiling in Practice
Thursday May 12 / 10:00AM EDT
With Continuous Profiling (CP) you capture resource usage (such as CPU, memory, I/O, etc.) over time, enabling you to pinpoint the (source) code that is slow or causes an issue. In recent times, CP has become mainstream and a number of open source projects such as Parca, Pyroscope, or CNCF...
Michael Hausenblas
Solution Engineering Lead @AWS
An Observable Service with No Logs
Thursday May 12 / 11:10AM EDT
After working with Honeycomb for a little while and starting to instrument our existing code with events, I’d become enamoured with the level of observability possible with that sort of telemetry. In particular, how easy it became to interactively and visually explore how my systems were...
Glen Mailer
Senior Software Engineer @Geckoboard
Slack’s DNSSEC Rollout: Third Time’s the Outage
Thursday May 12 / 12:20PM EDT
We all have to manage DNS. DNS changes are inherently high-blast-radius and high-visibility. We present a case study of what happened when a large SaaS company enabled DNSSEC. We did significant planning and testing beforehand. The rollout went smoothly for most of our domains, but one...
Rafael de Elvira
Senior Software Engineer @Slack
Chaos Engineering Observability with Visual Metaphors
Thursday May 12 / 01:30PM EDT
Observability is key in operating a system in production; it’s required during an incident, when an operator has to interrogate, inspect, and piece together what happened to avoid a similar event. In those scenarios, Chaos engineering and Observability are closely connected - providing...
Yury Niño Roa
Cloud Infrastructure Engineer @Google
Speakers from this track
Michael Hausenblas
Solution Engineering Lead @AWS
Michael is a Solution Engineering Lead and product owner in the AWS open source observability service team. He covers OpenTelemetry, Prometheus, and Grafana upstream and in managed services. Before Amazon, Michael worked at Red Hat, Mesosphere (now D2iQ), MapR (now part of HPE), and prior to that...
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Glen Mailer
Senior Software Engineer @Geckoboard
After spending a bunch of years as a contractor, Glen worked across a variety of roles at all levels of the stack: from infrastructure to frontend with a detour via databases - this has led to a very varied set of experiences to draw from. Most recently he’s worked on build infrastructure...
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Rafael de Elvira
Senior Software Engineer @Slack
Rafael is a Senior Software Engineer for the Demand Engineering team at Slack. Demand Engineering enables fast and reliable delivery.Outside work, Rafa enjoys spending time in the mountains climbing, hiking, mountain biking, etc with his friends but also spending time with his pets and...
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Yury Niño Roa
Cloud Infrastructure Engineer @Google
Software Engineer with 8+ years of experience designing, implementing and managing the development of software applications using agile methodologies such as scrum and kanban. 3+ years of DevOps and SRE experience supporting, automating and optimizing mission-critical deployments, leveraging...
Read moreTrack Host
Abby Bangser
Principal Engineer
Track Host
Abby Bangser
Principal Engineer
Abby Bangser is an engineer with a keen interest in working on products where other engineers are the users. Abby brings the techniques of analysing and testing customer-facing products to tools like internal platforms, delivery pipelines, and observability so as to generate clearer feedback to...
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