dotScale 2018
as the organisers put it
Come see the best experts worldwide share their insights on scalability, DevOps and distributed systems.
who it's for
platform engineers, site reliability engineers, backend engineers, data engineers, DevOps engineers, infrastructure architects, engineering managers
topics
Kubernetes orchestration and clusters; Istio service-mesh troubleshooting; container distribution and packaging; time-series databases and storage; Kafka-based write-ahead and streams; observability with Prometheus and HAProxy; serverless / functions as a service; scalable game telemetry pipelines; schema registry and protobuf messaging; chaos engineering and failover testing
| title | author | length |
|---|---|---|
| At scale, everything is hard | Paul Dix | 22m |
Journey from InfluxDB 0.9 to a containerized 2.0 shows concrete choices: a custom on-disk engine called the Time-Structured Merge Tree, WAL via Kafka, object… | ||
| Kubernetes 101 | Bridget Kromhout | 20m |
Containers go into production at DramaFever in October 2013 and Docker adoption accelerates; Kubernetes emerges as the de facto orchestrator with a control… | ||
| Just-Right Consistency | Marc Shapiro | 17m |
Argues that applications get the minimum synchronization they actually need: use commutative incremental updates (CRDT-style) for concurrent counters and… | ||
| Demonstrating your Architecture | Julio Faerman | 18m |
Checklist-style guidance: measurable claims, concrete tools, and real outcomes. Naming five non-functional requirements (Security, Reliability, Performance… | ||
| Distributions and Package Management in the Containers Era | Lucas Nussbaum | 17m |
Argues that distribution practices are transferable to language package managers and shows concrete practices rather than theory: Quality Assurance tools… | ||
| Git as a continuous manager | Matthias Dugué | 05m |
Argues that a single tool—Git—can handle versioning, deployment and feature-flipping, and demonstrates concrete patterns: Git-driven deploys via tags and… | ||
| Nano-node: Intelligent Hard Drives in Large Storage Infrastructures | Enrico Signoretti | 06m |
Presents putting a CPU next to each HDD/SSD (using commodity NVMe and local agents) so storage logic—data placement, erasure coding and metadata—runs on the… | ||
| Serverless, Revealed! | Daniel phrawzty Maher | 04m |
Claim: there is no serverless it is just functions as a service, built on event driven architecture with the usual CPU and memory limits plus a new time… | ||
| Observability tips with HAProxy | Willy Tarreau | 18m |
Covers practical observability for HAProxy by focusing on four actionable metrics: connection errors, processing times, termination codes, and status… | ||
| Three heretical opinions about the future of time-series data | Mike Freedman | 05m |
Claims three concrete heresies: all data is time-series, the common narrow name/tags/value model is wrong so use wide or nested schemas and joins, and SQL… | ||
| The Data of Infrastructures | Jeremy Edberg | 19m |
Claims that the richest signals come from derived metadata and demonstrates concrete tooling and outcomes: uses CloudFormation, OSQuery, Netflix Atlas and… | ||
| Data Cartography | Preeti Vaidya | 17m |
Claims a practical method: a four-step design paradigm that picks storage top-down from operation → application → data model → data store. Shows when row SQL… | ||
| Designing Scalable and Extendable Data Pipeline for Call of Duty Games | Yaroslav Tkachenko | 18m |
Call of Duty telemetry amounts to petabytes, many hundreds of Kafka topics and tens of thousands of messages per second with sizes from 200 bytes to 20KB, and… | ||
| Istio, we have a problem! Understanding and fixing bugs with a service-mesh | David Gageot | 19m |
Istio is used to add L7 visibility and control to a Kubernetes quiz app deployed via scaffold; the service graph and Prometheus/Grafana dashboards show one… | ||
| nothing matches | ||