Incontro DevOps Italia 2024
as the organisers put it
IDI Incontro DevOps Italia 2024 è la 12° edizione della conferenza italiana dedicata alle tematiche DevOps. 📍 Bologna | 📍 15 Marzo 2024 👾 Main topics:DevOps, MLOps, FinOps, GitOps, scalabilità, buone pratiche, continuous integration, continuous deployment serverless, Kubernetes. Partecipa alla prossima edizione: 🔗 incontrodevops.it
who it's for
platform engineers, cloud engineers, site reliability engineers, DevOps engineers, Kubernetes operators, security engineers, engineering managers
topics
Kubernetes security hardening; multi-cluster lifecycle management; FinOps integration with Kubernetes; GitOps deployments with ArgoCD; serverless architecture testing; Ansible code provenance; ZFS tuning for PostgreSQL; observability cost and ingestion control; Matomo SaaS operational practices; operator-driven exporters and CRDs
| title | author | length |
|---|---|---|
| Compliance As Code: Shift-Left and Shift-Right Approaches in a Cloud World | Paolo Latella | 32m |
The talk argues for using compliance-as-code both shift-left (during template/plan validation) and shift-right (at runtime) in cloud environments, outlining… | ||
| Road to Domain Driven: The Reckless Life of a Cloud Engineer | Matteo De Ponti | 37m |
A cloud engineering migration that replaces country-based AWS accounts with a unified AWS Organization, creates segregated cluster topology and domain-scoped… | ||
| The Art of (Cloud Native) Defense: Pillars of Kubernetes Security | Jacopo Nardiello | 39m |
Outlines concrete pillars: artifact and dependency bill of materials, image signing and vulnerability scanning; safe builds and pipeline gatekeepers that… | ||
| Case study: How we brought order to our Matomo Saas with DevOps | Jenny Nilsson | 31m |
Claims a repeatable path from messy multi-tenant Matomo instances to a maintainable SaaS: use Rancher control plane for cluster visibility, add Neuvector for… | ||
| A Deep Dive into FinOps Integration with Kubernetes for Enhanced | Francesco Lumpp | 38m |
Claims an end-to-end FinOps pipeline that collects provider APIs, normalizes into the FinOps Foundation FOCUS conversion via LLMs, and stores records in a… | ||
| X-Factor Voting Platform Under the Hood | Nicola Cremaschini | 36m |
A serverless-first voting platform on AWS that handled peaks of ~7,500 req/s and ~18M votes while meeting p95 <200 ms and 99.94% availability and cutting infra… | ||
| Platform Engineering Is Not About Tech | Francesca Carta | 32m |
Argues that platform engineering success depends more on organizational change than on technology: despite tools like GitLab, Argo, Flux, Kubernetes and… | ||
| 3 Pitfalls Everyone Should Avoid with Cloud Data | Eric D. Schabell | 27m |
Three concrete pitfalls emerge: observability becomes data and costs explode — an example produces half a terabyte in 30 days from one test app and some… | ||
| Where Does the Ansible Code You’re Running Come From? | Fabio Alessandro Locati | 26m |
Shows how to ensure only authorized Ansible code runs by adding end-to-end cryptographic signing and verification across the Git-to-controller supply chain… | ||
| Vindicating ZFS with PostgreSQL: Unleashing the Power of Scalability | Federico Campoli | 35m |
Claim: ZFS on Linux can reach parity with XFS/EXT4 after careful tuning. Setup uses PostgreSQL 16.2 on Rocky Linux 9.3 in GCP, PGbench scale 500, separate WAL… | ||
| Beyond the Unit: A Holistic Approach to Testing Serverless Architectures | M. Calandra | 32m |
Shows concrete testing practices for serverless systems: consumer-driven contract testing with Pact and a Pact Broker to generate JSON contracts that producers… | ||
| Taming the Lifecycle of 100+ Kubernetes Clusters with K8s Plumber | Tommaso Doninelli, Lino Telera | 33m |
Describes managing about 100 Kubernetes clusters using a Git-backed workflow of plain Terraform files plus simple CI workflows to provision, import, and… | ||
| A Deep Dive into the Agent, Cluster Access and Security Features | G. Arancio | 34m |
Explains how GitLab Agent installs into a Kubernetes cluster as a minimal client while moving control logic to the GitLab server, communicating over a… | ||
| Deploying a Machine Learning System That Only Runs Locally | Alessandra Bilardi | 34m |
Describes automating deployment of data scientist notebooks using AWS Step Functions vs SageMaker Pipelines, versioning data and models on S3, storing… | ||
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