Carlos Sanchez

Progressive Delivery in Kubernetes

Can your Kubernetes deployments automatically detect failures and roll back? Learn how progressive delivery provides an automated safety net for every release.

Progressive Delivery in Kubernetes
#1about 3 minutes

Understanding the core concepts of progressive delivery

Progressive delivery is a set of deployment techniques that avoid all-or-nothing releases by gradually rolling out changes to a subset of users.

#2about 1 minute

The business case for progressive delivery

Adopting progressive delivery helps avoid downtime, limit the blast radius of failures, and shorten the time from idea to production by providing safety guardrails.

#3about 5 minutes

Exploring key progressive delivery techniques

An overview of common deployment strategies including default Kubernetes rolling updates, blue-green deployments, canary releases, and feature flags.

#4about 1 minute

Why monitoring is the new form of testing

Effective monitoring and observability are crucial for progressive delivery, allowing teams to automatically detect issues in production and react quickly.

#5about 2 minutes

Implementing progressive delivery in Kubernetes

Kubernetes services and ingress controllers are the foundational components that enable traffic shifting for strategies like canary deployments.

#6about 3 minutes

Using Argo Rollouts for advanced Kubernetes deployments

Argo Rollouts is an open-source Kubernetes controller that provides advanced deployment capabilities like canary releases and blue-green deployments out of the box.

#7about 7 minutes

Demo of a successful canary deployment with Argo Rollouts

A step-by-step demonstration shows how Argo Rollouts manages a successful canary release, gradually shifting traffic from a blue to a green version.

#8about 4 minutes

Demo of an automatic rollback after a failed deployment

See how Argo Rollouts automatically detects a failing canary deployment and rolls back to the stable version without manual intervention.

#9about 2 minutes

Enhancing rollouts with AI-powered log analysis

AI tools like Google Gemini can be integrated into the analysis step to interpret complex logs, determine deployment health, and generate clear summaries for rollback decisions.

Related jobs
Jobs that call for the skills explored in this talk.

Matching moments

Automating progressive delivery with Argo Rollouts
16:17 MIN

Automating progressive delivery with Argo Rollouts

Next-gen CI/CD with Gitops and Progressive Delivery

Reducing release risk with progressive delivery techniques
08:45 MIN

Reducing release risk with progressive delivery techniques

Next-gen CI/CD with Gitops and Progressive Delivery

Proposing initial solutions for delivery bottlenecks
05:35 MIN

Proposing initial solutions for delivery bottlenecks

GitOps for the people

Demo of a successful and failed automated rollout
19:17 MIN

Demo of a successful and failed automated rollout

Next-gen CI/CD with Gitops and Progressive Delivery

Introduction to GitOps and the talk agenda
00:19 MIN

Introduction to GitOps and the talk agenda

Get ready for operations by pull requests

Introducing Argo CD as a GitOps operator
17:48 MIN

Introducing Argo CD as a GitOps operator

Get ready for operations by pull requests

Managing deployments with traffic splitting and revisions
17:33 MIN

Managing deployments with traffic splitting and revisions

Cloud Run- the rise of serverless and containerization

Managing edge deployments with GitOps using ArgoCD
29:41 MIN

Managing edge deployments with GitOps using ArgoCD

From Code to Motion: Building an Autonomous Hat-Hunting Robot with Kubernetes & ML

Featured Partners

Related Videos

See all videos
Next-gen CI/CD with Gitops and Progressive Delivery28:07

Next-gen CI/CD with Gitops and Progressive Delivery

Kevin Dubois

Get ready for operations by pull requests50:02

Get ready for operations by pull requests

Liviu Costea

GitOps for the people29:49

GitOps for the people

Lian Li

Implementing continuous delivery in a data processing pipeline34:00

Implementing continuous delivery in a data processing pipeline

Álvaro Martín Lozano

Chaos in Containers - Unleashing Resilience27:52

Chaos in Containers - Unleashing Resilience

Maish Saidel-Keesing

Integrating backups into your GitOps Pipeline25:24

Integrating backups into your GitOps Pipeline

Florian Trieloff

Developer Experience, Platform Engineering and AI powered Apps31:38

Developer Experience, Platform Engineering and AI powered Apps

Ignacio Riesgo & Natale Vinto

Operating etcd for Managed Kubernetes21:43

Operating etcd for Managed Kubernetes

Mario Valderrama

Related Articles

View all articles
DC
Daniel Cranney
Dev Digest 188: CfP time, the risks of NPM and IKEA algorithms
Inside last week’s Dev Digest 188 . 🤖 GitHub Copilot CLI is now in public review 💻 Microsoft is bringing ‘vibe working’ to office apps 🎣 Attackers abuse AI tools to generate captchas in fishing attacks ⚠️ When LLMs autonomously attack 🧠 Common cause...
Dev Digest 188: CfP time, the risks of NPM and IKEA algorithms
AG
Andre Braun, GitLab
Now is the time for industrialized software development
Now is the time for industrialized software development Recently, I received a letter from my car’s manufacturer alerting me to a recall. They had discovered a defective part and wanted to replace it. It was easily fixed, and I might have forgotten a...
Now is the time for industrialized software development
CH
Chris Heilmann
With AIs wide open - WeAreDevelopers at All Things Open 2025
Last week our VP of Developer Relations, Chris Heilmann, flew to Raleigh, North Carolina to present at All Things Open . An excellent event he had spoken at a few times in the past and this being the “Lucky 13” edition, he didn’t hesitate to come and...
With AIs wide open - WeAreDevelopers at All Things Open 2025

From learning to earning

Jobs that call for the skills explored in this talk.

e DevOps Kubernetes

e DevOps Kubernetes

","addresslocality":"valbonne","streetaddress":""},"geo":{"@type":"geocoordinates","longitude":7.009186,"latitude":43.64152}},"industry":"","identifier":{"@type":"propertyvalue","name":"innova
Canton de Valbonne, France

Remote
€45-50K
Intermediate
Bash
DevOps
Ansible
+6