Hands-on Helm

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Jessica Deen, Microsoft - Helm 3 is here; let's go hands-on! In this demo-fueled session, I'll walk you through the differences between Helm 2 and Helm 3. I'll offer tips for a successful rollout or upgrade, go over how to easily use charts created for Helm 2 with Helm 3 (without changing your syntax), and review opportunities where you can participate in the project's future.

Technology

@jldeen
Hands on Helm
Jessica Deen
Senior Cloud Advocate | Azure

@jldeen
1. Why Helm?
2. v3 Overview
3. Breaking Changes
4. New Features
5. Helm 2 > 3 Migration
6. Get Involved!

@jldeen
The package manager for Kubernetes
Helm is the best way to find, share, and use software built for Kubernetes.

@jldeen
Find, share, and use software built for k8s

@jldeen
• Must be ready for mainstream majority
• Prove stability, security, healthy
governance, and strong community
• Scored 198% on the certification test
• CNCF TOC voted by supermajority to
make Helm a top-level project
Graduation Requirements

@jldeen
• Based on community best practices
• Dramatic simplification
• Architectural changes(security as
priority)
v3 overview

@jldeen
• Helm is almost as old as Kubernetes
• Predates CRDs and K8s RBAC
• Simpler, more secure: focus on
production use-cases
Major Refactor

@jldeen
• Inheriting security controls from
kubeconfig
• Using K8s RBAC to limit access &
resources
• Replacing custom APIs for charts and
deployments with secrets
Making Helm more K8s Native

@jldeen
• Simpler & more flexible architecture,
security, & upgrades
• Now uses Kubernetes API directly
• Renders charts client-side; storing in
release
• Lowering the barrier of entry for
contributors
Farewell, Tiller

@jldeen
helm delete
helm inspect
helm fetch
helm search
--purge is now default (to override: helm
uninstall –keep-history)
CLI Changes
helm uninstall
helm show
helm pull
helm search repo
(vs helm search hub)

@jldeen
Warning! Breaking Changes!
(see https://v3.helm.sh/docs/faq/ for full details

@jldeen
Don’t worry!
• We intend to support Helm 2 charts
• You *should* be able to replace the
Helm 2 binary with the Helm 3 binary IF
you take the following considerations
into account

@jldeen
Namespace Changes
• Helm will no longer create a
namespace if it doesn’t already exist

@jldeen
Namespace Changes
• Release metadata is stored in the same
namespace as the release
• Templated resources with namespace
set will be installed into said
namespace prior to the application of
`--namespace` flag

@jldeen
CRD Installation
• `crd-install` ignored in Helm 3
• Useful warning message if CRDs are
present in templates directory
• Replaced with CRDs directory at chart
root

@jldeen
Chart Dependency
Management
• Old style: requirements.yaml &
requirements.lock
• New style: Chart.yaml and Chart.lock
(breaking change if you use helm
dependency subcommands)

@jldeen
Release Metadata
• No longer stored in Tiller namespace
• Stored as secret in release namespace
• Double base64 encoded JSON blob
Not backwards compatible with Helm 2
release metadata
https://github.com/helm/helm-2to3

@jldeen
Deprecated Function(s)
• {{ .Release.Time }} deprecated in favor
for `now` function

@jldeen
--generate-name
• Old style: auto-generated unless
overridden
• New style: error unless auto-generation
requested

@jldeen
Get involved!
• Upgrade to Helm 3
• https://v3.helm.sh/docs/faq
• helm.sh for community calls
• Feedback on new use cases &
workflows
• Test for backwards-compat with
existing charts!

@jldeen
- Senior Cloud Advocate | Azure
- DevOps, Containers, Open Source
- CNCF Ambassador | K8s & Helm
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Elton Stoneman, Docker Captain + Container Consultant and Trainer How do you provide a SaaS offering when your product is a 10-year old Fortran app, currently built to run on Windows 10? With Docker and Kubernetes of course - and you can do it in a week (... to prototype level at least). In this session I'll walk through the processes and practicalities of taking an older Windows app, making it run in containers with Kubernetes, and then building a simple API wrapper to host the whole stack as a cloud-based SaaS product. There's a lot of technology here from a real world case study, and I'll focus on: - running Windows apps in Docker containers - building a .NET Core API which can run in Linux or Windows containers - running the stack in Kubernetes with Docker Desktop locally and AKS in the cloud - configuring AKS workloads in Azure to burst out to Azure Container Instances And there's a core theme to this session: Docker and Kubernetes are complex technologies, but they're the key to modern development. If you invest time learning them, they make projects like this simple, portable, fast and fun.

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This virtual meetup introduces the concepts and best practices of using Docker containers for software development for the Arm architecture across a variety of hardware systems. Using Docker Desktop on Windows or Mac, Amazon Web Services (AWS) A1 instances, and embedded Linux, we will demonstrate the latest Docker features to build, share, and run multi-architecture images with transparent support for Arm.

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For many, the idea of speaking in front of a bunch of strangers can be enough to prevent you from ever responding to a CFP. But don't let it! Speaking at conferences, meetups, or even at your own company is a fantastic way to share you knowledge, meet others, advance your career, and give back. Whether you are on the fence, have decided to take the plunge and submit a CFP, or have already even a few talks, this session is for you. Drawing on their experience reviewing DockerCon CFPs and prepping speakers (including themselves) for a variety of conferences, Jenny Burcio and Ashlynn Polini will outline tips and strategies for turning your idea into a winning proposal and ultimately a compelling talk. They will share how to submit and prepare for your first - or next - conference talk.

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Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

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Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented "Driving Behavioral Change for Information Management through Data-Driven Green Strategy" on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida. In this presentation, Urmi and Fernando discussed a case study describing how the information management division in a large supply chain organization drove user behavior change through awareness of the carbon footprint of their duplicated and near-duplicated content, identified via advanced data analytics. Check out their presentation to gain valuable perspectives on utilizing data-driven strategies to influence positive behavioral shifts and support sustainability initiatives within your organization. In this session, participants gained answers to the following questions: - What is a Green Information Management (IM) Strategy, and why should you have one? - How can Artificial Intelligence (AI) and Machine Learning (ML) support your Green IM Strategy through content deduplication? - How can an organization use insights into their data to influence employee behavior for IM? - How can you reap additional benefits from content reduction that go beyond Green IM?

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MySQL Webinar, presented on the 25th of April, 2024. Summary: MySQL solutions enable the deployment of diverse Database Architectures tailored to specific needs, including High Availability, Disaster Recovery, and Read Scale-Out. With MySQL Shell's AdminAPI, administrators can seamlessly set up, manage, and monitor these solutions, ensuring efficiency and ease of use in their administration. MySQL Router, on the other hand, provides transparent routing from the application traffic to the backend servers in the architectures, requiring minimal configuration. Completely built in-house and supported by Oracle, these solutions have been adopted by enterprises of all sizes for their business-critical applications. In this presentation, we'll delve into various database architecture solutions to help you choose the right one based on your business requirements. Focusing on technical details and the latest features to maximize the potential of these solutions.

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The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

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Sara Mae O’Brien Scott and Tatiana Baquero Cakici, Senior Consultants at Enterprise Knowledge (EK), presented “AI Fast Track to Search-Focused AI Solutions” at the Information Architecture Conference (IAC24) that took place on April 11, 2024 in Seattle, WA. In their presentation, O’Brien-Scott and Cakici focused on what Enterprise AI is, why it is important, and what it takes to empower organizations to get started on a search-based AI journey and stay on track. The presentation explored the complexities of enterprise search challenges and how IA principles can be leveraged to provide AI solutions through the use of a semantic layer. O’Brien-Scott and Cakici showcased a case study where a taxonomy, an ontology, and a knowledge graph were used to structure content at a healthcare workforce solutions organization, providing personalized content recommendations and increasing content findability. In this session, participants gained insights about the following: Most common types of AI categories and use cases; Recommended steps to design and implement taxonomies and ontologies, ensuring they evolve effectively and support the organization’s search objectives; Taxonomy and ontology design considerations and best practices; Real-world AI applications that illustrated the value of taxonomies, ontologies, and knowledge graphs; and Tools, roles, and skills to design and implement AI-powered search solutions.

IAC 2024 - IA Fast Track to Search Focused AI Solutions

Enterprise Knowledge

In an era where artificial intelligence (AI) stands at the forefront of business innovation, Information Architecture (IA) is at the core of functionality. See “There’s No AI Without IA” – (from 2016 but even more relevant today) Understanding and leveraging how Information Architecture (IA) supports AI synergies between knowledge engineering and prompt engineering is critical for senior leaders looking to successfully deploy AI for internal and externally facing knowledge processes. This webinar be a high-level overview of the methodologies that can elevate AI-driven knowledge processes supporting both employees and customers. Core Insights Include: Strategic Knowledge Engineering: Delve into how structuring AI's knowledge base is required to prevent hallucinations, enable contextual retrieval of accurate information. This will include discussion of gold standard libraries of use cases support testing various LLMs and structures and configurations of knowledge base. Precision in Prompt Engineering: Learn the art of crafting prompts that direct AI to deliver targeted, relevant responses, thereby optimizing customer experiences and business outcomes. Unified Approach for Enhanced AI Performance: Explore the intersection of knowledge and prompt engineering to develop AI systems that are not only more responsive but also aligned with overarching business strategies. Guiding Principles for Implementation: Equip yourself with best practices, ethical guidelines, and strategic considerations for embedding these technologies into your business ecosystem effectively. This webinar is designed to empower business and technology leaders with the knowledge to harness the full potential of AI, ensuring their organizations not only keep pace with digital transformation but lead the charge. Join us to map a roadmap to fully leverage Information Architecture (IA) and AI chart a course towards a future where AI is a key pillar of strategic innovation and business success.

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With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.

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Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.

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Hands-on Helm

1. @jldeen Hands on Helm Jessica Deen Senior Cloud Advocate | Azure

2. @jldeen 1. Why Helm? 2. v3 Overview 3. Breaking Changes 4. New Features 5. Helm 2 > 3 Migration 6. Get Involved!

3. @jldeen The package manager for Kubernetes Helm is the best way to find, share, and use software built for Kubernetes.

4. @jldeen Find, share, and use software built for k8s

5. @jldeen

6. @jldeen • Must be ready for mainstream majority • Prove stability, security, healthy governance, and strong community • Scored 198% on the certification test • CNCF TOC voted by supermajority to make Helm a top-level project Graduation Requirements

7. @jldeen • Based on community best practices • Dramatic simplification • Architectural changes(security as priority) v3 overview

8. @jldeen Demo: Helm 3 end-to-end

9. @jldeen • Helm is almost as old as Kubernetes • Predates CRDs and K8s RBAC • Simpler, more secure: focus on production use-cases Major Refactor

10. @jldeen • Inheriting security controls from kubeconfig • Using K8s RBAC to limit access & resources • Replacing custom APIs for charts and deployments with secrets Making Helm more K8s Native

11. @jldeen • Simpler & more flexible architecture, security, & upgrades • Now uses Kubernetes API directly • Renders charts client-side; storing in release • Lowering the barrier of entry for contributors Farewell, Tiller

12. @jldeen helm delete helm inspect helm fetch helm search --purge is now default (to override: helm uninstall –keep-history) CLI Changes helm uninstall helm show helm pull helm search repo (vs helm search hub)

13. @jldeen Warning! Breaking Changes! (see https://v3.helm.sh/docs/faq/ for full details

14. @jldeen Don’t worry! • We intend to support Helm 2 charts • You *should* be able to replace the Helm 2 binary with the Helm 3 binary IF you take the following considerations into account

15. @jldeen Namespace Changes • Helm will no longer create a namespace if it doesn’t already exist

16. @jldeen Namespace Changes • Release metadata is stored in the same namespace as the release • Templated resources with namespace set will be installed into said namespace prior to the application of `--namespace` flag

17. @jldeen CRD Installation • `crd-install` ignored in Helm 3 • Useful warning message if CRDs are present in templates directory • Replaced with CRDs directory at chart root

18. @jldeen CRD Installation

19. @jldeen Chart Dependency Management • Old style: requirements.yaml & requirements.lock • New style: Chart.yaml and Chart.lock (breaking change if you use helm dependency subcommands)

20. @jldeen Release Metadata • No longer stored in Tiller namespace • Stored as secret in release namespace • Double base64 encoded JSON blob Not backwards compatible with Helm 2 release metadata https://github.com/helm/helm-2to3

21. @jldeen Deprecated Function(s) • {{ .Release.Time }} deprecated in favor for `now` function

22. @jldeen --generate-name • Old style: auto-generated unless overridden • New style: error unless auto-generation requested

23. @jldeen Demo: Helm 2 to 3 Migration

24. @jldeen Get involved! • Upgrade to Helm 3 • https://v3.helm.sh/docs/faq • helm.sh for community calls • Feedback on new use cases & workflows • Test for backwards-compat with existing charts!

25. @jldeen - Senior Cloud Advocate | Azure - DevOps, Containers, Open Source - CNCF Ambassador | K8s & Helm Who am I?

26. @jldeen Thank you!

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