Bridget Kromhout gave a presentation on tools for operability in Kubernetes. She began with an overview of containers and Kubernetes, then discussed tools in the Kubernetes ecosystem like Terraform, Helm, Draft, Brigade, and Kashti. She concluded by discussing the future of Kubernetes and managed Kubernetes options.
Bare Metal Kubernetes - More Containers, Less OverheadDustin Kirkland
Earlier this month, I spoke at ContainerDays, part of the excellent DevOpsDays series of conferences -- this one in lovely Portland, Oregon.
I gave a live demo of Kubernetes running directly on bare metal. I was running it on an 11-node Ubuntu Orange Box -- but I used the exact same tools Canonical's world class consulting team uses to deploy Kubernetes onto racks of physical machines.
You see, the ability to run Kubernetes on bare metal, behind your firewall is essential to the yin-yang duality of Cloud Native computing. Sometimes, what you need is actually a Native Cloud.
Deploying Kubernetes into virtual machines in the cloud is rather easy, straightforward, with dozens of tools now that can handle that.
But there's only one tool today, that can deploy the exact same Kubernetes to AWS, Azure, GCE, as well as VMware, OpenStack, and bare metal machines. That tools is conjure-up, which acts as a command line front end to several essential Ubuntu tools: MAAS, LXD, and Juju.
I don't know if the presentation was recorded, but I'm happy to share with you my slides for download, and embedded here below. There are a few screenshots within that help convey the demo.
An overview of extension points in Kubernetes. Extend Kubernetes using API Aggregation, Custom Resource Definitions and your own Controllers. Kubernetes Meetup Frankfurt, March 25th 2019 at Meshcloud GmbH
[Container world 2017] The Questions You're Afraid to Ask about ContainersDustin Kirkland
Use the Right Container Technology for the Job
Application containers, machine containers, process containers, system containers -- what's the difference? 12-factor apps, Microservices, cloud-native application design -- are these real? Docker, Rocket, OCID, LXD -- do I need all of them? Should I run PaaS on top of my IaaS, or my IaaS on top of my PaaS? Do containers fit into PaaS or IaaS? Or both? Neither? Where are the intersections of Kubernetes, Swarm, Mesos, and OpenStack? How do I ensure compatibility across my public and private clouds? And how does bare metal -- from my commodity, scale-out x86 to my powerful, scale-up mainframes fit into all of this? Can any of this stuff actually be used in a highly secure environment? In this session, Dustin Kirkland, Ubuntu Product and Strategy Lead at Canonical, will explain the container ecosystem in clear, concise terms, from real enterprise user experience -- the successes and the failures.
An Introduction to Container Organization with Docker Swarm, Kubernetes, Meso...Neo4j
Interest in Docker has increased significantly since its inception. According to a report compiled by a leading cloud-scale monitoring company, Datadog, two-thirds of the companies that try Docker adopt it, and the adopters have increased their container count by five times over a period of nine months. Neo4j has also embraced Docker by supporting official images and also offering specific images of its own.
While the interest in container technology is growing rapidly, so is the need to deploy containers over a cluster of machines to allow scalability and fault-tolerance. This highlights the need for orchestration which refers to the idea of automating the manual process of deploying, configuring and scaling the containers in an automated manner.
In this talk, we provide a hands-on introduction to the three most popular Docker orchestration tools: Kubernetes, Docker Swarm and Mesos. This talk offers a conceptual understanding of each of these technologies along with an insight into the concepts learned through a series of three demos. The demos will illustrate how to deploy and automatically scale a Neo4j container using each of the three orchestration platforms.
We realize that the scope of the topic in terms of the orchestration tools is too broad. The rationale behind choosing the three specific tools is based on the following two reasons: First is their potential use in our cluster at Cincinnati Children’s Hospital (CCHMC). Secondly, they also fall under the leading orchestration tools.
Kubernetes for Beginners: An Introductory GuideBytemark
An introduction to Kubernetes for beginners. Includes the definition, architecture, benefits and misconceptions of Kubernetes. Written in plain English, ideal for both developers and non-developers who are new to Kubernetes.
Find out more about Kubernetes at Bytemark here: https://www.bytemark.co.uk/managed-kubernetes/
Deploying your first application with KubernetesOVHcloud
Find out how to deploy your first application with Kubernetes on the OVH cloud, and direct questions to the team responsible for our upcoming Kubernetes as-a-Service solution.
GitOps: Stop, collaborate and deploy | DevNation Tech TalkRed Hat Developers
The barrier to using Kubernetes and Openshift has never been lower, but how do we manage the applications that run on these clusters? During this presentation, we will have a live demonstration deploying a GitOps tool and then using it to manage both applications as well as cluster resources. We will also migrate an application live across the United States on multiple clusters with zero downtime, all managed through git.
05.10.2017 AWS User Group Meetup - FALLACIES OF DISTRIBUTED COMPUTING WITH KU...Zalando adtech lab
Raffaele Di Fazio from Zalando in Berlin held this presentation on "Fallacies of Distributed Computing with Kubernetes on AWS" on the AWS USER GROUP MEETUP in the Zalando Hamburg Office on 5th October 2017
The slide deck was used during the Azure user group meet up on 16th August 2018. It is part of Hands on Lab for learning Azure Kubernetes Service. The talk demonstrated usage of Minikube to test Kubernetes manifest files using a single node cluster. The features covered as part of hands on demo included Namespaces, Pods, Deployment, Service, StatefulSets.
Bare Metal Kubernetes - More Containers, Less OverheadDustin Kirkland
Earlier this month, I spoke at ContainerDays, part of the excellent DevOpsDays series of conferences -- this one in lovely Portland, Oregon.
I gave a live demo of Kubernetes running directly on bare metal. I was running it on an 11-node Ubuntu Orange Box -- but I used the exact same tools Canonical's world class consulting team uses to deploy Kubernetes onto racks of physical machines.
You see, the ability to run Kubernetes on bare metal, behind your firewall is essential to the yin-yang duality of Cloud Native computing. Sometimes, what you need is actually a Native Cloud.
Deploying Kubernetes into virtual machines in the cloud is rather easy, straightforward, with dozens of tools now that can handle that.
But there's only one tool today, that can deploy the exact same Kubernetes to AWS, Azure, GCE, as well as VMware, OpenStack, and bare metal machines. That tools is conjure-up, which acts as a command line front end to several essential Ubuntu tools: MAAS, LXD, and Juju.
I don't know if the presentation was recorded, but I'm happy to share with you my slides for download, and embedded here below. There are a few screenshots within that help convey the demo.
An overview of extension points in Kubernetes. Extend Kubernetes using API Aggregation, Custom Resource Definitions and your own Controllers. Kubernetes Meetup Frankfurt, March 25th 2019 at Meshcloud GmbH
[Container world 2017] The Questions You're Afraid to Ask about ContainersDustin Kirkland
Use the Right Container Technology for the Job
Application containers, machine containers, process containers, system containers -- what's the difference? 12-factor apps, Microservices, cloud-native application design -- are these real? Docker, Rocket, OCID, LXD -- do I need all of them? Should I run PaaS on top of my IaaS, or my IaaS on top of my PaaS? Do containers fit into PaaS or IaaS? Or both? Neither? Where are the intersections of Kubernetes, Swarm, Mesos, and OpenStack? How do I ensure compatibility across my public and private clouds? And how does bare metal -- from my commodity, scale-out x86 to my powerful, scale-up mainframes fit into all of this? Can any of this stuff actually be used in a highly secure environment? In this session, Dustin Kirkland, Ubuntu Product and Strategy Lead at Canonical, will explain the container ecosystem in clear, concise terms, from real enterprise user experience -- the successes and the failures.
An Introduction to Container Organization with Docker Swarm, Kubernetes, Meso...Neo4j
Interest in Docker has increased significantly since its inception. According to a report compiled by a leading cloud-scale monitoring company, Datadog, two-thirds of the companies that try Docker adopt it, and the adopters have increased their container count by five times over a period of nine months. Neo4j has also embraced Docker by supporting official images and also offering specific images of its own.
While the interest in container technology is growing rapidly, so is the need to deploy containers over a cluster of machines to allow scalability and fault-tolerance. This highlights the need for orchestration which refers to the idea of automating the manual process of deploying, configuring and scaling the containers in an automated manner.
In this talk, we provide a hands-on introduction to the three most popular Docker orchestration tools: Kubernetes, Docker Swarm and Mesos. This talk offers a conceptual understanding of each of these technologies along with an insight into the concepts learned through a series of three demos. The demos will illustrate how to deploy and automatically scale a Neo4j container using each of the three orchestration platforms.
We realize that the scope of the topic in terms of the orchestration tools is too broad. The rationale behind choosing the three specific tools is based on the following two reasons: First is their potential use in our cluster at Cincinnati Children’s Hospital (CCHMC). Secondly, they also fall under the leading orchestration tools.
Kubernetes for Beginners: An Introductory GuideBytemark
An introduction to Kubernetes for beginners. Includes the definition, architecture, benefits and misconceptions of Kubernetes. Written in plain English, ideal for both developers and non-developers who are new to Kubernetes.
Find out more about Kubernetes at Bytemark here: https://www.bytemark.co.uk/managed-kubernetes/
Deploying your first application with KubernetesOVHcloud
Find out how to deploy your first application with Kubernetes on the OVH cloud, and direct questions to the team responsible for our upcoming Kubernetes as-a-Service solution.
GitOps: Stop, collaborate and deploy | DevNation Tech TalkRed Hat Developers
The barrier to using Kubernetes and Openshift has never been lower, but how do we manage the applications that run on these clusters? During this presentation, we will have a live demonstration deploying a GitOps tool and then using it to manage both applications as well as cluster resources. We will also migrate an application live across the United States on multiple clusters with zero downtime, all managed through git.
05.10.2017 AWS User Group Meetup - FALLACIES OF DISTRIBUTED COMPUTING WITH KU...Zalando adtech lab
Raffaele Di Fazio from Zalando in Berlin held this presentation on "Fallacies of Distributed Computing with Kubernetes on AWS" on the AWS USER GROUP MEETUP in the Zalando Hamburg Office on 5th October 2017
The slide deck was used during the Azure user group meet up on 16th August 2018. It is part of Hands on Lab for learning Azure Kubernetes Service. The talk demonstrated usage of Minikube to test Kubernetes manifest files using a single node cluster. The features covered as part of hands on demo included Namespaces, Pods, Deployment, Service, StatefulSets.
Oscon 2017: Build your own container-based system with the Moby projectPatrick Chanezon
Build your own container-based system
with the Moby project
Docker Community Edition—an open source product that lets you build, ship, and run containers—is an assembly of modular components built from an upstream open source project called Moby. Moby provides a “Lego set” of dozens of components, the framework for assembling them into specialized container-based systems, and a place for all container enthusiasts to experiment and exchange ideas.
Patrick Chanezon and Mindy Preston explain how you can leverage the Moby project to assemble your own specialized container-based system, whether for IoT, cloud, or bare-metal scenarios. Patrick and Mindy explore Moby’s framework, components, and tooling, focusing on two components: LinuxKit, a toolkit to build container-based Linux subsystems that are secure, lean, and portable, and InfraKit, a toolkit for creating and managing declarative, self-healing infrastructure. Along the way, they demo how to use Moby, LinuxKit, InfraKit, and other components to quickly assemble full-blown container-based systems for several use cases and deploy them on various infrastructures.
SUSE CaaSP: deploy OpenFaaS and Ethereum Blockchain on KubernetesJuan Herrera Utande
During our SUSEExpert Days 2018 technical sessions we showed new technologies and architectures where Kubernetes, deployed with SUSE Containers as a Service Plafrom, makes a perfect fit.
Following the guide lines from SUSE's Engineers Panos Georgiadis and Maximilian Meister we demonstrated the flexibility of containerized workloads orchestration.
Kubernetes the deltatre way the basics - introduction to containers and orc...Rauno De Pasquale
The basics - Introduction to Containers and Orchestrators (May 18th, 2020)
by Rauno De Pasquale (Newesis), supported by Cristiano Degiorgis (Deltatre)
A new version of the introduction to containers and orchestrator, done for the series of events "Kubernetes - The Deltatre way".
Knowing the context and concepts behind container use is essential to be able to proceed on the path that will lead to master Kubernetes and Cloud Native applications. This initial session is about basic skills to answer questions such as: what is a container image? Why did anyone feel the need for an orchestrator? Are there any alternatives to Docker and Kubernetes? How does working with containers and Kubernetes connect to traditional virtualization? The session aims to provide the basic skills to be able to guide yourself in the next sessions where the ways of creating and execution of applications in Kubernetes environment will be tackled.
Recorded session: YouTube | Facebook
Repository: https://github.com/deltatrelabs/community-events-kubernetes-the-deltatre-way
An RSVP app designed to be deployed by the dockers on the Kubernetes Minikube Cluster. Front end with flask framework and MongoDB as a backend database.
Youtube video:https://youtu.be/KnjnQj-FvfQ
Similar to Day 2 Kubernetes - Tools for Operability (QConSF) (20)
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
5. @bridgetkromhout #qconsf
what even are containers & k8s?
“And you may ask yourself,
‘Well... how did I get here?’”
Talking Heads — Once in a Lifetime
7. @bridgetkromhout #qconsf
Namespaces Cgroups
Not a real thing. An application delivery mechanism with
process isolation based on several Linux kernel features.
• PID
• Mount
• Network
• UTS
• Memory
• CPU
• Blkio
• Cpuacct
(what a process can see) (what a process can use)
What is a container?
• IPC
• User
• Cgroup
• Cpuset
• Devices
• Net_prio
• Freezer
13. @bridgetkromhout #qconsf
“Kubernetes is an open-source
platform designed to automate
deploying, scaling, and operating
application containers."
Initial release: 7 June 2014
17. @bridgetkromhout #qconsf
elements of orchestration
Scheduling
Affinity/
anti-affinity
Health
monitoring Failover
Scaling Networking Service
discovery
Coordinated
app upgrades
23. @bridgetkromhout #qconsf
“day 2 k8s” - what do we mean?
1.You’re sold on k8s; what’s next?
2.necessarily opinionated…
3.…yet giving you info to decide.
24. @bridgetkromhout #qconsf
operable k8s: next steps
-Getting started with Terraform & hosted k8s
-Managing configs with Helm & apps with Draft
-Event-driven scripting with Brigade & Kasti
25. @bridgetkromhout #qconsf
Deploy k8s clusters, pods, and services!
Find providers: https://registry.terraform.io/
Providers include Azure & Azure Stack, as
well as other clouds.
Terraform
26. @bridgetkromhout #qconsf
Simplify the deployment, management,
and operations of Kubernetes
Work how you
want with open-
source APIs
Scale and run
applications with
confidence
Focus on your
containers not the
infrastructure
Azure Kubernetes Service (AKS)
(similar options exist for your cloud of choice)
27. @bridgetkromhout #qconsf
Get started easily
$ az aks create -g myResourceGroup -n myCluster --generate-ssh-keys
Running ..
$ az aks install-cli
Downloading client to /usr/local/bin/kubectl ..
$ az aks get-credentials -g myResourceGroup -n myCluster
Merged "myCluster" as current context ..
$ kubectl get nodes
NAME STATUS AGE VERSION
aks-mycluster-36851231-0 Ready 4m v1.8.1
aks-mycluster-36851231-1 Ready 4m v1.8.1
aks-mycluster-36851231-2 Ready 4m v1.8.1
Azure Kubernetes Service (AKS)
28. @bridgetkromhout #qconsf
Manage an AKS cluster
$ az aks list –o table
Name Location ResourceGroup KubernetesRelease ProvisioningState
------------------ ---------- -------------- ------------------- -------------------
myCluster westus2 myResourceGroup 1.7.7 Succeeded
$ az aks upgrade -g myResourceGroup -n myCluster –-kubernetes-version 1.8.1
Running ..
$ kubectl get nodes
NAME STATUS AGE VERSION
aks-mycluster-36851231-0 Ready 12m v1.8.1
aks-mycluster-36851231-1 Ready 8m v1.8.1
aks-mycluster-36851231-2 Ready 3m v1.8.1
$ az aks scale -g myResourceGroup -n myCluster --agent-count 10
Running ..
Azure Kubernetes Service (AKS)
31. @bridgetkromhout #qconsf
The best way to find, share, and use
software built for Kubernetes
Manage complexity
Charts can describe complex apps;
provide repeatable app installs, and
serve as a single point of authority
Helm
32. @bridgetkromhout #qconsf
The best way to find, share, and use
software built for Kubernetes
Easy updates
Take the pain out of updates with
in-place upgrades and custom hooks
Helm
33. @bridgetkromhout #qconsf
The best way to find, share, and use
software built for Kubernetes
Simple sharing
Charts are easy to version, share,
and host on public or private servers
Helm
34. @bridgetkromhout #qconsf
Rollbacks
Use helm rollback to roll back to an
older version of a release with ease
Helm
The best way to find, share, and use
software built for Kubernetes
35. @bridgetkromhout #qconsf
Simple app development and deployment – into any
Kubernetes cluster
Simplified development
Using two simple commands,
developers can now begin hacking
on container-based applications
without requiring Docker or even
installing Kubernetes themselves
Language support
Draft detects which language your
app is written in, and then uses
packs to generate a Dockerfile and
Helm Chart with the best practices
for that language
draft.sh
36. @bridgetkromhout #qconsf
Run scriptable, automated tasks in the cloud — as part of
your Kubernetes cluster
Simple, powerful pipes
Each project gets a brigade.js
config file, which is where you
can write dynamic, interwoven
pipelines and tasks for your
Kubernetes cluster
Runs inside your cluster
By running Brigade as a
service inside your Kubernetes
cluster, you can harness the
power of millions of available
Docker images
brigade.sh
37. @bridgetkromhout #qconsf
A simple UI to display build results and logs
Simple visualizations
A web dashboard for
Brigade, helping to
easily visualize and
inspect your Brigade
builds
Driving deep insights
Make Brigade DevOps
workflows— projects,
scripts, and jobs—and
their events visible
instantly
Kashti
kashti.sh
49. @bridgetkromhout #qconsf
Terraform on Azure
docs.microsoft.com/azure/terraform
Azure Free Trial
azure.com/free
helm.sh, draft.sh, brigade.sh, kashti.sh
Microsoft Ignite: The Tour
microsoft.com/ignite-the-tour
Microsoft Learn
docs.microsoft.com/learn
To learn more…
50. @bridgetkromhout #qconsf
Terraform on Azure
docs.microsoft.com/azure/terraform
Azure Free Trial
azure.com/free
helm.sh, draft.sh, brigade.sh, kashti.sh
Microsoft Ignite: The Tour
microsoft.com/ignite-the-tour
Microsoft Learn
docs.microsoft.com/learn
Thanks!