DevOpsDays Medellín 2024
2024-05-23..2024-05-24
Medellín, Colombia
| title | author | length |
|---|---|---|
| Mastering the DevOps Machine Learning Pipeline | Ben Savage | 21m |
Describes a production pipeline that runs K3s on devices and in cloud, uses Fleet and Flux to deploy versioned pods with distinct ML models across thousands of… | ||
| Empowering High-Performance Teams with DevOps & Machine Learning | Ed Fullman | 24m |
Covers DORA findings and concrete ML use cases: user focus correlates with 40% higher organizational performance and 20% higher job satisfaction; anomaly… | ||
| Navigating the Cloud Migration Journey with Precision and Pace | Jonathan Guzman | 21m |
A concrete migration path to Azure that builds an automated multi‑subscription Azure Landing Zone with centralized firewalls, identity, policies and management… | ||
| Optimizing CI/CD Pipelines for Faster Time to Market | David Ayala | 27m |
Shows concrete fixes and results: switching Dockerfiles to multi-stage builds reduced image from 657MB to 157MB, creating shared base images speeds builds by… | ||
| Streamlining Release Management for DevOps Success | Jonathan Dominguez | 20m |
Walks through a concrete pipeline that uses release-please to auto-generate release notes, tags and PRs, runs GitHub Actions that build an image, pushes to AWS… | ||
| The Art of Platform Engineering | Arturo Martinez | 15m |
Argues that building an internal development platform (IDP) that abstracts Terraform/Jenkins/AWS/Kubernetes into reusable services lets developers push code… | ||
| The Road to Continuous Testing | Mauricio Arroyave | 20m |
Roadmap shows concrete moves: adopt a test pyramid with mostly unit tests, medium API tests, and minimal UI end‑to‑end checks; plug unit and BDD/TDD scenarios… | ||
| A DevOps Mindset: Transforming Organizational Culture | Maria Fernanda Llano | 14m |
Claim: cultural transformation is the core metric of DevOps success, not tools alone. The talk lays out concrete moves: form cross-functional teams, automate… | ||
| Ed Fullman On Stage | Ed Fullman | 23m |
Claims concrete outcomes: ML reduces noisy alerts and burnout by suppressing normal peaks, demonstrated with DataDog AI anomaly detection improving on baseline… | ||
| Check Out Ed Fullman | Ed Fullman | 01m |
A product is presented that claims to combine blockchain, IoT, machine learning and AI into a single platform for faster product delivery, with an explicit… | ||
| Ben Savage On Stage | Ben Savage | 21m |
Claim: combining DevOps practices with ML delivers deployable, versioned models at edge scale and faster business recovery. Implementation uses K3s + Fleet +… | ||
| Check Out Ben Savage | Ben Savage | 01m |
Overview covers devops and machine learning, promising discussion of real world use cases and "all the fun stuff" that combines pipeline automation with… | ||
| Shannon Ryan On Stage | Shannon Ryan | 19m |
Company uses Hyperledger Fabric plus cloud, edge, IoT and AI/ML to automate and secure life‑sciences transactions; Kubernetes provides the scalable infra… | ||
| Check Out Shannon Ryan | Shannon Ryan | 01m |
An opening-level marketing framing from a VP of marketing at Veritas adamada that states the session title navigating the digital Evolution and positions… | ||
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