DevOps fwdays'23
2023-03-16..2023-03-21
-- online --
who it's for
platform engineers, devops engineers, site reliability engineers, security engineers, backend developers, data engineers, ml engineers
topics
chaos engineering with Azure Studio; Cosmos DB region failover; ArgoCD application generator; Helm template GitOps; Node.js Docker image hardening; calendar-based versioning; feature flagging with Azure App Configuration; model deployment patterns on Kubernetes; image streaming for cold starts (GKE); Git LFS and large model handling; Pulumi for platform infrastructure; dependency and secret scanning (Black Duck, CyberArk)
| title | author | length |
|---|---|---|
| Modern DevOps and the Reality of Its Application | Ihor Fesenko | 48m |
Covers practical DevOps problems the presenter and their team faced in 2022–23 and how they solved them, focusing on DNS zone setup across environments… | ||
| Resilient Cloud App: Chaos Engineering, Azure Studio | Geert van der Cruijsen | 34m |
Examines Chaos Engineering for testing resilience in microservices and distributed cloud applications by running failure experiments (downtime, latency… | ||
| Innovation and Iteration — Understanding how we improve | PJ Hagerty | 25m |
Claims that the Pony Express lasts only 18 months and is overtaken by the telegraph, a concrete example of fast obsolescence; a built product… | ||
| Master production: best practices to build Node.js Docker images | Liran Tal | 43m |
Claims that many Dockerfiles are unsafe and unreproducible get demonstrated with concrete failures: a Codecov Docker image leak exposes static GCP creds for… | ||
| Flagging features — a DevOps approach to continuous release | Alex Thissen | 44m |
Claims that feature flags let teams deploy first, release later and turn a kill switch on instantly, implemented with Azure App Configuration + .NET Feature… | ||
| Building a Cloud Data Platform with Security in Mind | Natalia Hodek | 37m |
Building a cloud-native data platform with security in mind covers how to protect sensitive data in cloud-based analytics and ML pipelines, comparing… | ||
| Case Study — How We Block Production | Mykyta Savin | 23m |
A case study of a production outage in an ESB-based system using RabbitMQ and asynchronous microservices where a runaway Ruby container repeatedly requeued… | ||
| Problems and Solutions with AI Model Deployments in k8s | A.Chernenko | 43m |
Compares three Kubernetes deployment patterns for AI models: baking models into container images, storing models in Git LFS, and downloading models at startup… | ||
| Beyond Terraform, or Modern Platform Engineering | Stanislav Lebedenko | 32m |
The talk surveys modern infrastructure tooling beyond Terraform, specifically comparing Pulumi and Brainboard and their different approaches to accelerating… | ||
| Platform Engineering in practice — Why and How to start | Serg Hospodarets | 42m |
Recounts building Web Cloud platforms at scale for a few hundred engineers, dozens of products and hundreds of microservices and customers, with concrete tools… | ||
| Vulnerability Analysis: Corporate DevSec Practices | Serhii Kulyk | 31m |
Covers corporate vulnerability analysis practices for DevSecOps, including industry best practices for applying vulnerability scanning, integrating automated… | ||
| Git Happens or How to fix common git mistakes | Liuba Gonta | 31m |
Shows concrete fixes with a live repo: undo unstaged edits with git checkout -- <file>, combine staged changes into the previous commit with git commit… | ||
| Platform and Security Engineering | Christoph Hartmann | 37m |
Companies face 25,000 reported vulnerabilities a year and attackers automate exploits so fast that 14% appear before patches and many issues are exploited… | ||
| Infrastructure for Firebase project | Nikita Galkin | 02h 54m |
Sets up a real React web app with hosting, auth and Firestore, using firebase cli and emulators for local dev, and uses terraform to create repeatable… | ||
| nothing matches | ||