Kubernetes Summit 2023: Head First Kubernetes smalltown
Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery called pods. It helps with deployment, maintenance, and scaling of containerized applications. It provides basic mechanisms for deploying containers on a cluster of nodes, load balancing, scaling, and ensuring availability.
** Kubernetes Certification Training: https://www.edureka.co/kubernetes-certification **
This Edureka tutorial on "Kubernetes Architecture" will give you an introduction to popular DevOps tool - Kubernetes, and will deep dive into Kubernetes Architecture and its working. The following topics are covered in this training session:
1. What is Kubernetes
2. Features of Kubernetes
3. Kubernetes Architecture and Its Components
4. Components of Master Node and Worker Node
5. ETCD
6. Network Setup Requirements
DevOps Tutorial Blog Series: https://goo.gl/P0zAfF
Hands-On Introduction to Kubernetes at LISA17Ryan Jarvinen
This document provides an agenda and instructions for a hands-on introduction to Kubernetes tutorial. The tutorial will cover Kubernetes basics like pods, services, deployments and replica sets. It includes steps for setting up a local Kubernetes environment using Minikube and demonstrates features like rolling updates, rollbacks and self-healing. Attendees will learn how to develop container-based applications locally with Kubernetes and deploy changes to preview them before promoting to production.
Introduction and Deep Dive Into ContainerdKohei Tokunaga
Talked at KubeCon + CloudNativeCon Europe 2021 Virtual about containerd (May 5, 2021).
https://kccnceu2021.sched.com/event/iE6v
Kubernetes is an open source container orchestration system that automates the deployment, maintenance, and scaling of containerized applications. It groups related containers into logical units called pods and handles scheduling pods onto nodes in a compute cluster while ensuring their desired state is maintained. Kubernetes uses concepts like labels and pods to organize containers that make up an application for easy management and discovery.
This document discusses Docker internals and components. It covers:
1. Docker provides build once, configure once capabilities to deploy applications everywhere reliably, consistently, efficiently and cheaply.
2. Docker components include the Docker daemon, libcontainer, cgroups, namespaces, AUFS/BTRFS/dm-thinp, and the kernel-userspace interface.
3. Docker uses filesystem isolation through layering, copy-on-write, caching and differencing using union filesystems like AUFS to provide efficient sharing of files between containers.
"Yahoo! JAPAN の Kubernetes-as-a-Service" で加速するアプリケーション開発Yahoo!デベロッパーネットワーク
This document discusses automating Kubernetes deployments using Kubernetes-as-a-Service. It defines a CustomResourceDefinition for Kubernetes clusters that includes specifications for the Kubernetes version, number of master and worker nodes, and hardware flavors. It also includes an example KubernetesCluster resource definition.
Gitlab CI/CD provides continuous integration and continuous delivery capabilities. It allows automating the building, testing, and deployment of code changes. At Proxym, Gitlab is used to host Git repositories and manage the complete DevOps lifecycle including CI/CD. It integrates with other tools and uses multiple runners to test code changes and deliver new features to customers quickly in an automated way.
This document provides an introduction to Kubernetes, an open-source system for automating deployment, scaling, and management of containerized applications. It first reviews what Docker is and its features like isolation and compatibility across platforms. It then explains that container orchestration is needed to manage thousands of containers across a cluster, ensure efficient resource use, and automate container lifecycles. Kubernetes is recommended because it is actively developed by major companies, makes scheduling and managing workloads easy through features like rolling updates, and has many extensions available.
Sebastien Thomas, System Architect at Coyote Amerique, gave a presentation on operator frameworks. His talk covered how Operator SDK can be used to create Kubernetes Operators with Go.
This document provides an overview of Kubernetes including:
- Kubernetes is an open source system for managing containerized applications and services across clusters of hosts. It provides tools to deploy, maintain, and scale applications.
- Kubernetes objects include pods, services, deployments, jobs, and others to define application components and how they relate.
- The Kubernetes architecture consists of a control plane running on the master including the API server, scheduler and controller manager. Nodes run the kubelet and kube-proxy to manage pods and services.
- Kubernetes can be deployed on AWS using tools like CloudFormation templates to automate cluster creation and management for high availability and scalability.
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.
We are on the cusp of a new era of application development software: instead of bolting on operations as an after-thought to the software development process, Kubernetes promises to bring development and operations together by design.
Kubernetes is an open-source container cluster manager that was originally developed by Google. It was created as a rewrite of Google's internal Borg system using Go. Kubernetes aims to provide a declarative deployment and management of containerized applications and services. It facilitates both automatic bin packing as well as self-healing of applications. Some key features include horizontal pod autoscaling, load balancing, rolling updates, and application lifecycle management.
この資料では、Docker for Windows を使って Windows OS 上で Linux ベースのアプリを開発する方法、そして Web アプリを含む Docker コンテナをクラウド環境(Azure 環境)に展開する方法について解説します。
※ 本資料では Docker の Linux コンテナのみを取り扱います。(Windows コンテナは取り扱いません。Windows OS で使い慣れたエディタや開発環境を使いつつ、Docker for Windows を活用して Linux 上でデバッグを行う、というシナリオを扱っています。)
※ 資料の概要は以下の blog エントリを参照してください。
https://blogs.msdn.microsoft.com/nakama/2018/09/27/dockerandazure/
An intro to Helm capabilities and how it helps make upgrades and rollbacks in Kubernetes,, packaging and sharing and also managing complex dependencies for K8s applications easier.
Skaffold is an open-source Google Container tool that provides a toolkit for creating CI/CD pipelines for Kubernetes applications. It simplifies the process of building container images, pushing them to registries, and deploying them to Kubernetes clusters. Skaffold monitors source code changes and automatically builds, pushes, and deploys container images. It supports local development workflows as well as deployments to remote clusters. Skaffold improves developer productivity by separating business logic from platform operations management.
This document discusses Skaffold, an open-source tool from Google for simplifying continuous development workflows for Kubernetes applications. Skaffold monitors source code changes and automatically builds, pushes, and deploys container images to Kubernetes clusters. It aims to improve developer productivity by automating repetitive development tasks. The document provides an overview of Skaffold's architecture and functionality, how it works, advantages it provides, examples of companies using it, and compares it to other developer tools.
Hands-On Introduction to Kubernetes at LISA17Ryan Jarvinen
This document provides an agenda and instructions for a hands-on introduction to Kubernetes tutorial. The tutorial will cover Kubernetes basics like pods, services, deployments and replica sets. It includes steps for setting up a local Kubernetes environment using Minikube and demonstrates features like rolling updates, rollbacks and self-healing. Attendees will learn how to develop container-based applications locally with Kubernetes and deploy changes to preview them before promoting to production.
Introduction and Deep Dive Into ContainerdKohei Tokunaga
Talked at KubeCon + CloudNativeCon Europe 2021 Virtual about containerd (May 5, 2021).
https://kccnceu2021.sched.com/event/iE6v
Kubernetes is an open source container orchestration system that automates the deployment, maintenance, and scaling of containerized applications. It groups related containers into logical units called pods and handles scheduling pods onto nodes in a compute cluster while ensuring their desired state is maintained. Kubernetes uses concepts like labels and pods to organize containers that make up an application for easy management and discovery.
This document discusses Docker internals and components. It covers:
1. Docker provides build once, configure once capabilities to deploy applications everywhere reliably, consistently, efficiently and cheaply.
2. Docker components include the Docker daemon, libcontainer, cgroups, namespaces, AUFS/BTRFS/dm-thinp, and the kernel-userspace interface.
3. Docker uses filesystem isolation through layering, copy-on-write, caching and differencing using union filesystems like AUFS to provide efficient sharing of files between containers.
"Yahoo! JAPAN の Kubernetes-as-a-Service" で加速するアプリケーション開発Yahoo!デベロッパーネットワーク
This document discusses automating Kubernetes deployments using Kubernetes-as-a-Service. It defines a CustomResourceDefinition for Kubernetes clusters that includes specifications for the Kubernetes version, number of master and worker nodes, and hardware flavors. It also includes an example KubernetesCluster resource definition.
Gitlab CI/CD provides continuous integration and continuous delivery capabilities. It allows automating the building, testing, and deployment of code changes. At Proxym, Gitlab is used to host Git repositories and manage the complete DevOps lifecycle including CI/CD. It integrates with other tools and uses multiple runners to test code changes and deliver new features to customers quickly in an automated way.
This document provides an introduction to Kubernetes, an open-source system for automating deployment, scaling, and management of containerized applications. It first reviews what Docker is and its features like isolation and compatibility across platforms. It then explains that container orchestration is needed to manage thousands of containers across a cluster, ensure efficient resource use, and automate container lifecycles. Kubernetes is recommended because it is actively developed by major companies, makes scheduling and managing workloads easy through features like rolling updates, and has many extensions available.
Sebastien Thomas, System Architect at Coyote Amerique, gave a presentation on operator frameworks. His talk covered how Operator SDK can be used to create Kubernetes Operators with Go.
This document provides an overview of Kubernetes including:
- Kubernetes is an open source system for managing containerized applications and services across clusters of hosts. It provides tools to deploy, maintain, and scale applications.
- Kubernetes objects include pods, services, deployments, jobs, and others to define application components and how they relate.
- The Kubernetes architecture consists of a control plane running on the master including the API server, scheduler and controller manager. Nodes run the kubelet and kube-proxy to manage pods and services.
- Kubernetes can be deployed on AWS using tools like CloudFormation templates to automate cluster creation and management for high availability and scalability.
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.
We are on the cusp of a new era of application development software: instead of bolting on operations as an after-thought to the software development process, Kubernetes promises to bring development and operations together by design.
Kubernetes is an open-source container cluster manager that was originally developed by Google. It was created as a rewrite of Google's internal Borg system using Go. Kubernetes aims to provide a declarative deployment and management of containerized applications and services. It facilitates both automatic bin packing as well as self-healing of applications. Some key features include horizontal pod autoscaling, load balancing, rolling updates, and application lifecycle management.
この資料では、Docker for Windows を使って Windows OS 上で Linux ベースのアプリを開発する方法、そして Web アプリを含む Docker コンテナをクラウド環境(Azure 環境)に展開する方法について解説します。
※ 本資料では Docker の Linux コンテナのみを取り扱います。(Windows コンテナは取り扱いません。Windows OS で使い慣れたエディタや開発環境を使いつつ、Docker for Windows を活用して Linux 上でデバッグを行う、というシナリオを扱っています。)
※ 資料の概要は以下の blog エントリを参照してください。
https://blogs.msdn.microsoft.com/nakama/2018/09/27/dockerandazure/
An intro to Helm capabilities and how it helps make upgrades and rollbacks in Kubernetes,, packaging and sharing and also managing complex dependencies for K8s applications easier.
Skaffold is an open-source Google Container tool that provides a toolkit for creating CI/CD pipelines for Kubernetes applications. It simplifies the process of building container images, pushing them to registries, and deploying them to Kubernetes clusters. Skaffold monitors source code changes and automatically builds, pushes, and deploys container images. It supports local development workflows as well as deployments to remote clusters. Skaffold improves developer productivity by separating business logic from platform operations management.
This document discusses Skaffold, an open-source tool from Google for simplifying continuous development workflows for Kubernetes applications. Skaffold monitors source code changes and automatically builds, pushes, and deploys container images to Kubernetes clusters. It aims to improve developer productivity by automating repetitive development tasks. The document provides an overview of Skaffold's architecture and functionality, how it works, advantages it provides, examples of companies using it, and compares it to other developer tools.
Kubernetes Operability Tooling (GOTO Chicago 2019)bridgetkromhout
The document is a transcript of a presentation about containers, Kubernetes, and cloud native tooling. It discusses what containers are, the history and basics of Kubernetes, tools for managing Kubernetes clusters like Helm and Terraform, event-driven scripting with Brigade and Kashti, packaging apps with CNAB/Duffle/Porter, and a vision for the future of containers and cloud native technologies.
This presentation covers how app deployment model evolved from bare metal servers to Kubernetes World.
In addition to theoretical information, you will find free KATACODA workshops url to perform practices to understand the details of the each topics.
Kustomize is a Kubernetes native configuration management tool that allows customizing application configurations without templating. It takes over existing application manifests and is built into the kubectl command. Kustomize introduces an overlay pattern to customize resources through a kustomization file. Other configuration tools like Helm have template languages that can be ugly due to templating and conflict with other tools, while Kpt automates editing but requires functions for transformations. Kustomize aims to provide a simpler way to customize configurations and can integrate with tools like ArgoCD. Challenges include dealing with incompatible upstream changes and difficulties reviewing pull requests.
How to manage Kubernetes at scale with just git Weaveworks
n this talk, Stefan will speak about the challenges of managing Kubernetes clusters and how driving operations through git can enable dev teams to collaborate on infrastructure the same way they do for app development.
Stefan will explore the GitOps methodology and talk about the benefits of using Flux for Kubernetes cluster management and Helm Operator for application delivery.
He will demo a GitOps pipeline for promoting applications across environments using GitHub, Kubernetes custom resources and Flux automation features.
Gitlab ci e kubernetes, build test and deploy your projects like a prosparkfabrik
This document discusses using GitLab CI and Kubernetes together for continuous integration, delivery, and deployment. It provides an overview of Kubernetes and GitLab, describes how to set up a GitLab runner using the Kubernetes executor, and provides an example YAML configuration. It also covers continuous deployment workflows, running GitLab on Kubernetes, and some tips and tricks as well as techniques for troubleshooting Kubernetes and GitLab CI/CD pipelines.
Yannis Zarkadas. Enterprise data science workflows on kubeflowMarynaHoldaieva
This document discusses using GitOps and multi-tenancy to provide an enterprise data science experience on Kubeflow. It describes how to deploy and manage Kubeflow using GitOps to simplify operations and accelerate time to production. GitOps allows storing all configuration in Git for versioning, rollbacks, and collaboration. Kustomize is used to manage configurations and integrate changes from upstream Kubeflow repositories while allowing customizations. This provides reproducibility, isolation of tenants, and easy upgrades in a production-ready Kubeflow cluster.
Kochi Mulesoft Meetup #11 - Runtime Fabric on Google Kubernetes Engine (GKE)sumitahuja94
The document discusses deploying Anypoint Runtime Fabric (RTF) on self-managed Kubernetes on Google Kubernetes Engine (GKE). It outlines the seven simple steps to set up RTF on GKE, including creating a GKE cluster, installing the RTF instance, configuring and applying a license. It also demonstrates verifying the Kubernetes cluster and deploying a simple Mule application. Key benefits highlighted are quicker application deployments, centralized management, and running Mule apps on Kubernetes.
[20200720]cloud native develoment - Nelson LinHanLing Shen
There is no shortage now of development and CI/CD tools for cloud-native application development. But how do we put the cloud-native concept and think as the cloud-native way on the leftmost side of CI/CD pipeline.
During developing phrase, the tools provided with cloud code can help you expedite iteration of source codes, run and debug cloud native applications in an easy and fast way, making cloud-native development turn into real-time process, reduce the gap between deployment and development.
現在不乏用於雲原生應用程序開發的開發和 CI/CD工具。 但是,我們如何將雲原生概念放在的 CI/CD 流水線的最左側呢?
在開發階段,如何用 Cloud code 協助您加快原始碼的迭代速度,以簡便快捷的方式運行和調用雲原生應用程序,使雲原生開發變為即使過程,縮小開發與部署之間的差
The path to a serverless-native era with Kubernetessparkfabrik
In this talk we'll talk about how the Serverless paradigms are changing the way we develop applications and cloud infrastructure and how we can implement them in a
efficient and seamless way with Kubernetes.
We'll go through the latest Kubernetes Serverless technologies, talking about all the aspects
including pricing, scalability, observability and best practices.
1. Kubectx and Kubens are utilities that help manage and switch between Kubernetes contexts and namespaces, saving time when working with multiple clusters.
2. Kustomize is a tool for managing Kubernetes manifests and applying patches, making it easier to maintain configurations than templates. It can be used to apply common labels, annotations, and add prefixes to all resource names.
3. Skaffold automates the build, push and deploy pipeline, enabling fast local Kubernetes development. It works with build tools like Docker, Jib, and deploy tools like Helm and Kustomize. It supports profiles for different environments.
CD in kubernetes using helm and ksonnet. Stas KolenkinDataArt
This document discusses various tools for deploying applications to Kubernetes, including Helm, Ksonnet, Draft, Gitkube, Metaparticle, Skaffold, KSync, and Telepresence. It provides an overview of each tool, including their motivations, workflows, and how they compare to each other. Many of the tools aim to simplify deployments by automating builds, pushes to registries, and deployments to clusters. Ksonnet stands out as a tool that uses Jsonnet to define reusable application components and deploy them across multiple environments and clusters.
The document discusses monitoring Kubernetes clusters using Prometheus and Grafana. It describes how Prometheus scrapes metrics using exporters like Node Exporter and stores them in a time series database. Grafana is used to build dashboards and visualize the metrics collected by Prometheus. It provides configuration details for deploying Prometheus, Node Exporter, and Grafana as Kubernetes deployments and accessing the services.
Avanti Patil gives an introduction to Kubernetes. She discusses containers, Docker, and what Kubernetes is. Kubernetes is an open-source platform for managing containerized workloads and services. It facilitates declarative configuration and automation. The presentation covers Kubernetes architecture including the master node, worker nodes, pods, replica sets, and deployments. It also provides options for local Kubernetes development and a link to a self-paced tutorial. Avanti concludes by answering questions about Kubernetes.
Deploy 22 microservices from scratch in 30 mins with GitOpsOpsta
- What do you need to deploy microservices?
- What is Docker, Kubernetes, Infrastructure, and GitOps?
- Why can GitOps help us to improve the DevOps process?
- Demo GitOps
Jirayut Nimsaeng
Founder & CEO
Opsta (Thailand) Co., Ltd.
Google DevFest 2022
Declarative Kubernetes Cluster Deployment with Cloudstack and Cluster API - O...ShapeBlue
Are you currently managing Kubernetes clusters in the cloud and considering a transition to on-premises infrastructure using Cloudstack? This session is an exciting demonstration of how you can deploy Kubernetes clusters in a declarative manner, leveraging the capabilities of Cloudstack and Cluster API. In this demo, Ozhan showcases a comprehensive solution that combines Packer, Gitlab CI, ArgoCD, Cluster API, and Cluster Autoscaler to create a seamless on-premises deployment strategy adaptable to diverse requirements over Cloudstack Infrastructure.
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The CloudStack Collaboration Conference 2023 took place on 23-24th November. The conference, arranged by a group of volunteers from the Apache CloudStack Community, took place in the voco hotel, in Porte de Clichy, Paris. It hosted over 350 attendees, with 47 speakers holding technical talks, user stories, new features and integrations presentations and more.
Migrating GitHub Actions with Nested Virtualization to Cloud Native Ecosystem...Victor Morales
GitHub recently announced the end of support for macOS 12, which was the only GitHub-hosted runner capable of supporting nested virtualization. As a result, many teams relying on this feature for CI/CD workflows face the challenge of migrating existing dependencies to alternative solutions. In this session, I shared my experience migrating workloads from GitHub-hosted runners to a cloud-native solution. By leveraging Actions Runner Controller (ARC), KubeVirt, Tekton, and TopoLVM, we were able to provision self-hosted runners on demand, replicating the functionality of nested virtualization while benefiting from the scalability and flexibility of the cloud-native ecosystem.
加上 AI 人工智慧與 ML 機器學習的需求, Kubernetes (K8s) 的基礎建設更為重要。
什麼?你想要地端全自建?這是什麼巫術?
在這場演講中,我們會介紹一些常見的 Kubernetes 安裝需要的關鍵元件,分享地端建置甚至到 GPU 主機建置遇到的問題,給大家做一個指引,少走一些彎路
(主題亦有在 KaLUG Kaohsiung Linux User Group 再次分享)
與 Sign in with Apple 的愛恨情仇 @ iPlayground2020Johnny Sung
注重用戶隱私的 Apple 在開發者大會 WWDC 2019 發表了 Sign in with Apple 的功能,iOS 13 後皆支援。今年(2020 年) 4 月之後強制要求所有新上架的 App(包含更新)皆要支援這個服務。
Sign in with Apple 怎麼接?跟其他第三方服務有什麼不同?
App 端、網站前端、後端要如何因應?會有什麼樣的雷?
讓我來跟你娓娓到來...
#iPlayground2020
This document discusses building an Android app to provide sunset times. It covers using permissions to vibrate the device, designing screens for success, loading, and error states, integrating APIs and JSON data to obtain sunset times, and writing unit tests following the Arrange-Act-Assert pattern. Code examples demonstrate making network requests using OkHttp, parsing JSON with Gson, and handling asynchronous results with jDeferred. Completing the app would allow users to view local sunset times.
Speaker: Young Fang, Johnny Sung
---
How visually impaired people use their phone?
How mobile developer fix their problems they encountered?
Here is the small tips for that.
Johnny Sung introduced various messaging platforms and APIs that can be used to build messaging bots, including Slack, Line, Facebook Messenger, Skype, and others. He covered the key features of each platform's bot APIs, including how to set up webhooks, send and receive messages, and provided code examples in PHP. The presentation aimed to help developers learn how to connect their services to popular messaging platforms through bots.
Everything About Bluetooth (淺談藍牙 4.0) - Peripheral 篇Johnny Sung
2016.01.22 @ Android Taipei
講解 Bluetooth 的 GATT 的概念,並以 Android 實作
Example code:
Peripheral - BLE CPU Temp
https://github.com/j796160836/Ble-CPUTemp-Android
Central - BLE Temperature Receiver
https://github.com/j796160836/BleTemperatureReceiver-Android
Noah Loul Shares 5 Steps to Implement AI Agents for Maximum Business Efficien...Noah Loul
Artificial intelligence is changing how businesses operate. Companies are using AI agents to automate tasks, reduce time spent on repetitive work, and focus more on high-value activities. Noah Loul, an AI strategist and entrepreneur, has helped dozens of companies streamline their operations using smart automation. He believes AI agents aren't just tools—they're workers that take on repeatable tasks so your human team can focus on what matters. If you want to reduce time waste and increase output, AI agents are the next move.
Designing Low-Latency Systems with Rust and ScyllaDB: An Architectural Deep DiveScyllaDB
Want to learn practical tips for designing systems that can scale efficiently without compromising speed?
Join us for a workshop where we’ll address these challenges head-on and explore how to architect low-latency systems using Rust. During this free interactive workshop oriented for developers, engineers, and architects, we’ll cover how Rust’s unique language features and the Tokio async runtime enable high-performance application development.
As you explore key principles of designing low-latency systems with Rust, you will learn how to:
- Create and compile a real-world app with Rust
- Connect the application to ScyllaDB (NoSQL data store)
- Negotiate tradeoffs related to data modeling and querying
- Manage and monitor the database for consistently low latencies
AI Changes Everything – Talk at Cardiff Metropolitan University, 29th April 2...Alan Dix
Talk at the final event of Data Fusion Dynamics: A Collaborative UK-Saudi Initiative in Cybersecurity and Artificial Intelligence funded by the British Council UK-Saudi Challenge Fund 2024, Cardiff Metropolitan University, 29th April 2025
https://alandix.com/academic/talks/CMet2025-AI-Changes-Everything/
Is AI just another technology, or does it fundamentally change the way we live and think?
Every technology has a direct impact with micro-ethical consequences, some good, some bad. However more profound are the ways in which some technologies reshape the very fabric of society with macro-ethical impacts. The invention of the stirrup revolutionised mounted combat, but as a side effect gave rise to the feudal system, which still shapes politics today. The internal combustion engine offers personal freedom and creates pollution, but has also transformed the nature of urban planning and international trade. When we look at AI the micro-ethical issues, such as bias, are most obvious, but the macro-ethical challenges may be greater.
At a micro-ethical level AI has the potential to deepen social, ethnic and gender bias, issues I have warned about since the early 1990s! It is also being used increasingly on the battlefield. However, it also offers amazing opportunities in health and educations, as the recent Nobel prizes for the developers of AlphaFold illustrate. More radically, the need to encode ethics acts as a mirror to surface essential ethical problems and conflicts.
At the macro-ethical level, by the early 2000s digital technology had already begun to undermine sovereignty (e.g. gambling), market economics (through network effects and emergent monopolies), and the very meaning of money. Modern AI is the child of big data, big computation and ultimately big business, intensifying the inherent tendency of digital technology to concentrate power. AI is already unravelling the fundamentals of the social, political and economic world around us, but this is a world that needs radical reimagining to overcome the global environmental and human challenges that confront us. Our challenge is whether to let the threads fall as they may, or to use them to weave a better future.
Semantic Cultivators : The Critical Future Role to Enable AIartmondano
By 2026, AI agents will consume 10x more enterprise data than humans, but with none of the contextual understanding that prevents catastrophic misinterpretations.
Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
Special Meetup Edition - TDX Bengaluru Meetup #52.pptxshyamraj55
We’re bringing the TDX energy to our community with 2 power-packed sessions:
🛠️ Workshop: MuleSoft for Agentforce
Explore the new version of our hands-on workshop featuring the latest Topic Center and API Catalog updates.
📄 Talk: Power Up Document Processing
Dive into smart automation with MuleSoft IDP, NLP, and Einstein AI for intelligent document workflows.
Role of Data Annotation Services in AI-Powered ManufacturingAndrew Leo
From predictive maintenance to robotic automation, AI is driving the future of manufacturing. But without high-quality annotated data, even the smartest models fall short.
Discover how data annotation services are powering accuracy, safety, and efficiency in AI-driven manufacturing systems.
Precision in data labeling = Precision on the production floor.
Spark is a powerhouse for large datasets, but when it comes to smaller data workloads, its overhead can sometimes slow things down. What if you could achieve high performance and efficiency without the need for Spark?
At S&P Global Commodity Insights, having a complete view of global energy and commodities markets enables customers to make data-driven decisions with confidence and create long-term, sustainable value. 🌍
Explore delta-rs + CDC and how these open-source innovations power lightweight, high-performance data applications beyond Spark! 🚀
Quantum Computing Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
TrsLabs - Fintech Product & Business ConsultingTrs Labs
Hybrid Growth Mandate Model with TrsLabs
Strategic Investments, Inorganic Growth, Business Model Pivoting are critical activities that business don't do/change everyday. In cases like this, it may benefit your business to choose a temporary external consultant.
An unbiased plan driven by clearcut deliverables, market dynamics and without the influence of your internal office equations empower business leaders to make right choices.
Getting things done within a budget within a timeframe is key to Growing Business - No matter whether you are a start-up or a big company
Talk to us & Unlock the competitive advantage
Artificial Intelligence is providing benefits in many areas of work within the heritage sector, from image analysis, to ideas generation, and new research tools. However, it is more critical than ever for people, with analogue intelligence, to ensure the integrity and ethical use of AI. Including real people can improve the use of AI by identifying potential biases, cross-checking results, refining workflows, and providing contextual relevance to AI-driven results.
News about the impact of AI often paints a rosy picture. In practice, there are many potential pitfalls. This presentation discusses these issues and looks at the role of analogue intelligence and analogue interfaces in providing the best results to our audiences. How do we deal with factually incorrect results? How do we get content generated that better reflects the diversity of our communities? What roles are there for physical, in-person experiences in the digital world?
HCL Nomad Web – Best Practices und Verwaltung von Multiuser-Umgebungenpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-und-verwaltung-von-multiuser-umgebungen/
HCL Nomad Web wird als die nächste Generation des HCL Notes-Clients gefeiert und bietet zahlreiche Vorteile, wie die Beseitigung des Bedarfs an Paketierung, Verteilung und Installation. Nomad Web-Client-Updates werden “automatisch” im Hintergrund installiert, was den administrativen Aufwand im Vergleich zu traditionellen HCL Notes-Clients erheblich reduziert. Allerdings stellt die Fehlerbehebung in Nomad Web im Vergleich zum Notes-Client einzigartige Herausforderungen dar.
Begleiten Sie Christoph und Marc, während sie demonstrieren, wie der Fehlerbehebungsprozess in HCL Nomad Web vereinfacht werden kann, um eine reibungslose und effiziente Benutzererfahrung zu gewährleisten.
In diesem Webinar werden wir effektive Strategien zur Diagnose und Lösung häufiger Probleme in HCL Nomad Web untersuchen, einschließlich
- Zugriff auf die Konsole
- Auffinden und Interpretieren von Protokolldateien
- Zugriff auf den Datenordner im Cache des Browsers (unter Verwendung von OPFS)
- Verständnis der Unterschiede zwischen Einzel- und Mehrbenutzerszenarien
- Nutzung der Client Clocking-Funktion
Andrew Marnell: Transforming Business Strategy Through Data-Driven InsightsAndrew Marnell
With expertise in data architecture, performance tracking, and revenue forecasting, Andrew Marnell plays a vital role in aligning business strategies with data insights. Andrew Marnell’s ability to lead cross-functional teams ensures businesses achieve sustainable growth and operational excellence.
Technology Trends in 2025: AI and Big Data AnalyticsInData Labs
At InData Labs, we have been keeping an ear to the ground, looking out for AI-enabled digital transformation trends coming our way in 2025. Our report will provide a look into the technology landscape of the future, including:
-Artificial Intelligence Market Overview
-Strategies for AI Adoption in 2025
-Anticipated drivers of AI adoption and transformative technologies
-Benefits of AI and Big data for your business
-Tips on how to prepare your business for innovation
-AI and data privacy: Strategies for securing data privacy in AI models, etc.
Download your free copy nowand implement the key findings to improve your business.
15. 讓我們
一
起成為
工
程師 (
大
誤)
yaml
fi
le document icon by IYIKON from Noun Project (CC BY 3.0)
https://thenounproject.com/browse/icons/term/yaml-
fi
le-document-icon/
https://www.reddit.com/r/OnePiece/comments/57k9i0/sh_pirates_said_that_the_xmark_symbolizes_their/
16. 從 docker-compose 轉為
K8s YAMLs
Created by Iqbal Jaya Pangestu
from Noun Project
https://thenounproject.com/icon/whale-7104480/
73. 這邊使
用
dependency charts
使
用
一
個
自
訂的名字把 values 給包起來
https://akuity.io/blog/argo-cd-helm-values-
fi
les/
apiVersion: v2
name: kong
description: kong
type: application
version: 1.0.0
appVersion: '1.0'
dependencies:
- name: kong
repository: https://charts.konghq.com
version: 2.40.0
Chart.yaml kong-values.yml
kong:
# Default values for Kong's Helm Chart.
# Declare variables to be passed into your templates.
#
# Sections:
# - Deployment parameters
# - Kong parameters
# - Ingress Controller parameters
# - Postgres sub-chart parameters
# - Miscellaneous parameters
# - Kong Enterprise parameters
# -----------------------------------------------------------------------------
# Deployment parameters
# -----------------------------------------------------------------------------
deployment:
kong:
# Enable or disable Kong itself
# Setting this to false with ingressController.enabled=true will create a
# controller-only release.
enabled: true
## Minimum number of seconds for which a newly created pod should be ready without any of its container crashing,
## for it to be considered available.
# minReadySeconds: 60
## Specify the service account to create and to be assigned to the deployment / daemonset and for the migrations
serviceAccount:
create: true
# Automount the service account token. By default, this is disabled, and the token is only mounted on the controller
# container. Some sidecars require enabling this. Note that enabling this exposes Kubernetes credentials to Kong
# Lua code, increasing potential attack surface.
automountServiceAccountToken: false
## Optionally specify the name of the service account to create and the annotations to add.
# name:
# annotations: {}
## Optionally specify any extra sidecar containers to be included in the deployment
## See https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.18/#container-v1-core
# sidecarContainers:
# - name: sidecar
# image: sidecar:latest
# initContainers:
# - name: initcon
# image: initcon:latest
# hostAliases:
# - ip: "127.0.0.1"
# hostnames:
# - "foo.local"
# - "bar.local"
…(略)
⚠ 注意縮排
values.yml
指向線上的 Helm chart
76. 這邊使
用
dependency charts
使
用
一
個
自
訂的名字把 values 給包起來
https://akuity.io/blog/argo-cd-helm-values-
fi
les/
Chart.yaml kong-values.yml
kong:
# Default values for Kong's Helm Chart.
# Declare variables to be passed into your templates.
#
# Sections:
# - Deployment parameters
# - Kong parameters
# - Ingress Controller parameters
# - Postgres sub-chart parameters
# - Miscellaneous parameters
# - Kong Enterprise parameters
# -----------------------------------------------------------------------------
# Deployment parameters
# -----------------------------------------------------------------------------
deployment:
kong:
# Enable or disable Kong itself
# Setting this to false with ingressController.enabled=true will create a
# controller-only release.
enabled: true
## Minimum number of seconds for which a newly created pod should be ready without any of its container crashing,
## for it to be considered available.
# minReadySeconds: 60
## Specify the service account to create and to be assigned to the deployment / daemonset and for the migrations
serviceAccount:
create: true
# Automount the service account token. By default, this is disabled, and the token is only mounted on the controller
# container. Some sidecars require enabling this. Note that enabling this exposes Kubernetes credentials to Kong
# Lua code, increasing potential attack surface.
automountServiceAccountToken: false
## Optionally specify the name of the service account to create and the annotations to add.
# name:
# annotations: {}
## Optionally specify any extra sidecar containers to be included in the deployment
## See https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.18/#container-v1-core
# sidecarContainers:
# - name: sidecar
# image: sidecar:latest
# initContainers:
# - name: initcon
# image: initcon:latest
# hostAliases:
# - ip: "127.0.0.1"
# hostnames:
# - "foo.local"
# - "bar.local"
…(略)
⚠ 注意縮排
values.yml
指向離線的 Helm chart 也可以!
apiVersion: v2
name: kong
description: kong
type: application
version: 1.0.0
appVersion: '1.0'
dependencies:
- name: kong
repository: charts/kong-2.40.0.tgz
version: 2.40.0