swampUP 2017
2017-05-24..2017-05-26
Napa, United States
swampUP ·
[swampUP 2016, swampUP 2017, swampUP 2018, swampUP 2022, swampUP 2024, swampUP 2025]
| title | author | length |
|---|---|---|
| Data Driven DevOps | Jagan Subramanian | 42m |
Data-driven DevOps focuses on measurable changes: teams measure uptime, queue times, time-to-recover and pipeline success rates, and use those numbers to… | ||
| Distroless Docker: Containerizing Apps, not VMs | Matthew Moore | 32m |
Argues that containers should include only the runtime pieces between app and kernel, not a VM filesystem, and demonstrates it by building a Java servlet… | ||
| DevOps for Mere Mortals | Allen Reese, Jack Weaver | 43m |
Large org runs custom CI with Jenkins and internal tools that handle 100k–200k builds per day; small startup of ~5 engineers builds a lightweight pipeline… | ||
| Modern DevOps in C and C++ | Diego Rodriguez-Losada Gonzalez | 50m |
Argues that true DevOps for C/C++ works by managing prebuilt binaries and cross‑builds with concrete tools: Conan plus an Artifactory repo and CI. Shows… | ||
| Artifactory as an Automated Release | Justin Jones | 44m |
VMware Professional Services replaces manual FTP handoffs for hundreds of customers with a cloud-hosted JFrog Artifactory pipeline that uses the Artifactory… | ||
| Debugging and Troubleshooting Microservices | Ray Tsang, Baruch Sadogursky | 43m |
Live demo shows a three‑service Spring Boot guestbook deployed to Kubernetes with Docker images stored in JFrog Artifactory and CI from Jenkins, and uses… | ||
| AWS like Rest API in a Large Bank | Laurent Grangeau | 35m |
A reproducible pipeline built on GitHub + Jenkins pipeline-as-code + JFrog Artifactory with Docker, Python, Swagger, Sonar, Puppet and XLDeploy automates build… | ||
| How To Connect The Dots | Charles Connelly | 41m |
Company scales taxonomy for deployment pipelines, using Artifactory as glue to map planning, build, scan, artifact and deploy stages; a lightweight REST… | ||
| Continuous Deployment at Enterprise Scale | Elizabeth K. Joseph | 34m |
Shows a working pipeline that runs Artifactory on DC/OS in a highly available layout (Artifactory nodes + load balancer, shared storage like EFS/S3, MySQL… | ||
| Continuous Integration Pipeline Configuration | Thomas Carlier | 44m |
Tripwire builds a dependency-driven CI pipeline that ingests Gradle dependency reports into Artifactory and a DB, then compares required vs actual TeamCity… | ||
| A Secure Continuous Delivery Pipeline | Kevin Babcock | 37m |
Argues that security is automated into CI/CD so every commit gets checked end to end and shipped safely, showing a working pipeline built with GitHub, Slack… | ||
| Installing and Configuring Artifactory using Chef Recipes | Daryl Spartz | 39m |
Chef recipes install, configure and upgrade Artifactory in a repeatable CD pipeline for HA clusters, using Chef Vault for secrets and a kitchen testbed. Demo… | ||
| Why, What, and How of Continuous Delivery | Kohsuke Kawaguchi | 24m |
Argues that Continuous Delivery shifts business by making software the product and shows how to get there with concrete practices and tools: Jenkins automates… | ||
| Making Database Changes Tier One Artifact | Robert Reeves | 29m |
Argues that database changes become deployable artifacts by storing versioned change sets in JFrog Artifactory and orchestrating them with Datical DB, pulled… | ||
| DevOps for Mere Mortals | Allen Reese, Jack Weaver | 15m |
Compares running CI/CD with an 80+ person tools org versus a six‑person startup and gives concrete steps that work at small scale: start with unit tests and… | ||
| Continuous Delivery with Jenkins' New Declarative Pipeline & Artifactory | Ian employee, Patrick Wolf | 04m |
Jenkins adds a new Declarative Pipeline syntax plus a visual editor so teams author Jenkinsfiles without Groovy expertise, then produce a Java WAR, build a… | ||
| Diversity in Tech | Chloe Condon | 06m |
Starts coding in the mid-20s after a theater degree, studies Swift and uses Team Treehouse and Codecademy, then quits a day job to join a 12-week bootcamp… | ||
| Stop using the staging server | Chloe Condon, Raziel Tabib | 07m |
Claim: the traditional staging server becomes a bottleneck for microservices. Containers plus infrastructure as code create ephemeral testing environments that… | ||
| Making Database Changes a Tier one Artifact | Robert Reeves | 05m |
Argues that database schema and logic changes must travel the same pipeline as application code and presents Database release automation (Datical) that… | ||
| Graal | Scott Lynn | 05m |
Graal is an open source interpreter, optimizer and runtime that virtualizes language environments so multiple languages run in the same process using a single… | ||
| Jenkins Declarative Pipeline and Artifactory | Patrick Wolf | 45m |
Declarative Pipeline is now a stable, opinionated layer over the pipeline engine with Declarative syntax complete and about 625k pipelines running worldwide… | ||
| Containers Your Way | Jennelle Crothers | 35m |
Explains how Docker runs on both Linux and Windows with the Docker engine integrated into Windows Server containers and an isolation option called Hyper‑V… | ||
| Rise of the Machines | Sven Peters | 47m |
Ten years from Hudson automated builds the talk shows concrete automations that cut repetitive work: Agent Charlie installs and configures new developer… | ||
| Instant Replication of Build Artifacts | Bikash Roy Choudhury, Ed Peixoto | 38m |
NetApp integrates JFrog Artifactory plus StorageGRID and Jenkins to replicate artifacts across global sites; a demo writes ~100 x 95 MB files (and large tar… | ||
| JFrog Xray to Secure Red Hat OpenShift | Ankush Chadha, Chris Morgan | 44m |
Demonstrates JFrog Xray scanning Artifactory-stored images and dependencies and enforcing policies in OpenShift and s2i/Jenkins pipelines: a demo image shows 4… | ||
| Why You Need To Stop Using "The" Staging Server | Raziel Tabib, Chloe Condon | 38m |
Argument: the staging server model breaks down for microservice stacks so replace it with ephemeral, per-branch environments built from container images… | ||
| Artifactory Cluster as File Sharing Hub | Thomas Theakanath | 31m |
Argues that Artifactory’s replication becomes a replication-based file hub for multi–data-center distribution, storing config templates, raw data snapshots… | ||
| Deliver Instant Value to Customers | Ben Newton | 30m |
Shows a concrete setup: Sumo Logic ingests logs and metrics, builds out‑of‑the‑box Artifactory dashboards, and surfaces real‑time query‑latency metrics so… | ||
| Firing up a holistic Continuous Delivery Pipeline | Michael Huttermann | 32m |
Codes a sample web app, runs SonarQube checks, builds Docker images, pushes artifacts to Artifactory and Bintray, and wires Jenkins 2 pipeline stages to… | ||
| Google's DevOps Culture | Melody Meckfessel | 38m |
Google describes a developer platform that automates away DevOps overhead for a 700+ engineer org, using Bazel, Spinnaker and CI that runs roughly 800,000… | ||
| Catastrophes and Atrophies | Rob Zuber | 42m |
A company runs its service on a single box under desk then tries to swap the whole stack to Linux, Oracle and NetApp in a six‑ to eight‑week migration that… | ||
| Frogs and Ducks, Your Sentinels for Open Source Security | Dave Meurer | 33m |
Shows three concrete integrations: a Xray data feed that layers Black Duck’s enhanced vulnerability database into JFrog Xray so critical CVEs (example: the… | ||
| Efficient Management of Microservices | Ankush Chadha, Jason Dobies | 41m |
Shows a working pipeline that uses JFrog Artifactory as the canonical binary and image registry, OpenShift (Kubernetes) for orchestration, and Jenkins for… | ||
| Simplifying and Optimizing Life on the Edge with Graal | Scott Lynn | 31m |
Graal runs multiple language interpreters on the JVM using the Truffle API to share JIT, GC, scheduler and I/O so Ruby, JavaScript, R and Python can coexist in… | ||
| nothing matches | ||