Ansible fits naturally into any Kubernetes environment. Both are very active and widely used open source projects with vibrant communities that help make hard things easier. Here, we explore ways how...
Cilium - API-aware Networking and Security for Containers based on BPFThomas Graf
Cilium provides network security and visibility for microservices. It uses eBPF/XDP to provide fast and scalable networking and security controls at layers 3-7. Key features include identity-based firewalling, load balancing, and mutual TLS authentication between services. It integrates with Kubernetes to apply network policies using standard Kubernetes resources and custom CiliumNetworkPolicy resources for finer-grained control.
Build Your Kubernetes Operator with the Right Tool!Rafał Leszko
The document discusses different tools and frameworks for building Kubernetes operators, including the Operator SDK, Helm, Ansible, Go, KOPF, Java Operator SDK, and using bare programming languages. It provides examples of creating operators using the Operator SDK with Helm, Ansible and Go plugins, and also using the KOPF Python framework. The document highlights the key steps and capabilities of each approach.
This document provides an overview of running Kubernetes and its key components. It describes where Kubernetes clusters can be run, such as on Amazon EKS, Google GKE, Azure AKS, or self-hosted. It also discusses tools for managing Kubernetes clusters like kops, and autoscaling options like Cluster Autoscaler and Horizontal Pod Autoscaler. Additionally, it covers Kubernetes concepts like pods, services, ingress, jobs, cronjobs, and using Helm to manage Kubernetes applications.
The document provides an overview of Kubernetes concepts including pods, replica sets, deployments, services, and cluster architecture. It discusses Kubernetes' role in automatically maintaining services by deploying multiple containers across worker nodes. Key components like the master node, etcd cluster, scheduler, and kubelet are described at a high level. Examples are provided of imperative Kubernetes commands for creating pods, replica sets, deployments, and services.
This document is a presentation from OpenStack Summit Sydney. It describes how to easily install OpenStack on Kubernetes. It explains Kubernetes and OpenStack-Helm.
This document provides an overview of common Kubernetes concepts including clusters, namespaces, nodes, pods, services, deployments, horizontal pod autoscaling, ingress, persistent volume claims, configmaps, statefulsets, jobs, cronjobs, monitoring, and logging. It also discusses best practices for deploying applications on Kubernetes including using deployments instead of regular pods, validating Helm upgrades, and monitoring for CPU throttling issues.
Build your operator with the right toolRafał Leszko
The document discusses different tools that can be used to build Kubernetes operators, including the Operator SDK, Helm, Ansible, Go, and operator frameworks like KOPF. It provides an overview of how each tool can be used to generate the scaffolding and implement the logic for a sample Hazelcast operator.
If you just stated with Kubernetes, one of the first thing you have to learn is the `kubectl` CLI. Join me at a live hacking journey trough the world of kubectl and how you can improve your daily work to be more productive. Find out the handy day-by-day time savers for your working routine by a pure hands-on talk without slides. In Detail we will look together into:
* kubectl basics
* kubectl for scripting
* kubectl extensions
* the fuzzy side of kubectl
* KubeOps - use kubectl to manage k8s clusters, workers and static virtual machines.
Kubernetes is a container cluster manager that aims to provide a platform for automating deployment, scaling, and operations of application containers across clusters of machines. It uses pods as the basic building block, which are groups of application containers that share storage and networking resources. Kubernetes includes control planes for replication, scheduling, and services to expose applications. It supports deployment of multi-tier applications through replication controllers, services, labels, and pod templates.
Kubernetes Cluster API - managing the infrastructure of multi clusters (k8s ...Tobias Schneck
Thanks to tools like kubeadm, Terraform or Ansible setting up a Kubernetes cluster on a dedicated environment is getting reachable, but what’s about setting up a bunch of cluster in multiple clouds in automatic way? This is still a challenge. Also if you want to do same in your own datacenter. In this talk we will take a look to the approach to orchestrate and manage a whole set of k8s cluster by the Cluster API project of kubernetes (a subproject of sig-cluster-lifecycle). The main idea behind it is to use the Kubernetes API itself to manage multiple clusters with there master and worker nodes in same way you would manage your PODs - define the needed resources and the responsible controller will take care for providing it.
After an overview about the concepts of cluster API, I will show what’s needed to implement a cluster API conform machine class/deployment. There I will see that adding your own provider isn’t that hard as you may aspect. At the end of the day it just requires a simple interface to implement. The corresponding kubermatic controllers we implemented at Loodse are available as open source, so its possible to play around with it. A live demo will show how easy it is to spin up and maintain multiple Kubernetes cluster at different public and on-premise cloud providers over one managing cluster. A final wrap up will summarize the current state of the Cluster API project and the advantages of managing clusters as cattles instead of pets.
An Operator is an application that encodes the domain knowledge of the application and extends the Kubernetes API through custom resources. They enable users to create, configure, and manage their applications. Operators have been around for a while now, and that has allowed for patterns and best practices to be developed.
In this talk, Lili will explain what operators are in the context of Kubernetes and present the different tools out there to create and maintain operators over time. She will end by demoing the building of an operator from scratch, and also using the helper tools available out there.
Salt and Ansible are both popular tools for network orchestration and automation. Salt uses a centralized master-minion architecture where configuration files and templates are stored on the master. Ansible uses an agentless architecture where playbooks are run directly on managed nodes. Both tools support network device configuration through modules like NAPALM that provide a common API. Salt states and Ansible playbooks define the desired configuration through templates that are rendered and installed on devices. The tools detect configuration drift and make necessary changes.
Link: https://youtu.be/_lQhoCUQReU
https://go.dok.community/slack
https://dok.community/
From the DoK Day EU 2022 (https://youtu.be/Xi-h4XNd5tE)
The ability to extend Kubernetes with Custom Resource Definitions and respective controllers has led to the OperatorSDK, which became
the de facto standard for data service automation on Kubernetes. There are countless operator implementations available, and new operators are
being released on a daily basis. Organizations managing hundreds of Kubernetes clusters for dozens of developer teams are also challenged to
manage the lifecycle of hundreds of Kubernetes operators. The goal is to keep the operational overhead to a minimum.
In this talk, a closer look into the lifecycle of operators will be presented. With an understanding of how operators evolve, it becomes clear what
challenges during operator upgrades. A brief overview of lifecycle management tools such as Helm, OLM, and Carvel is presented in this context. In particular, it will be discussed whether these tools can help, which restrictions apply and where further development would be desirable.
At the end of this talk, you will know what operator lifecycle management is about, what its challenges are, and which tools may be used to reduce operational friction.
-----
Julian Fischer, CEO of anynines, has dedicated his career to the automation of software operations. In more than fifteen years, he has built several application platforms. He has been using Kubernetes, Cloud Foundry, and BOSH in recent years. Within platform automation, Julian has a strong focus on data service automation at scale.
In this talk, a closer look into the lifecycle of operators will be presented. With an understanding of how operators evolve, it becomes clear what
challenges during operator upgrades. A brief overview of lifecycle management tools such as Helm, OLM, and Carvel is presented in this context. In particular, it will be discussed whether these tools can help, which restrictions apply and where further development would be desirable.
At the end of this talk, you will know what operator lifecycle management is about, what its challenges are, and which tools may be used to reduce operational friction.
This talk was given by Julian Fischer for DoK Day Europe @ KubeCon 2022.
The document discusses running distributed applications like Spark on Kubernetes. It provides an overview of Kubernetes concepts like nodes, services and pods. It then demonstrates running Spark on Kubernetes by submitting a Spark job and shows how the application scales by increasing the number of pods. It explains that the Kubernetes submission client translates spark-submit options to Kubernetes API resources and that the CoarseGrainedSchedulerBackend is used to schedule executors on pods.
K8s in 3h - Kubernetes Fundamentals TrainingPiotr Perzyna
Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. This training helps you understand key concepts within 3 hours.
Operators are automated software managers for Kubernetes applications that extend the Kubernetes API to create, configure, and manage instances of complex stateful applications on behalf of a Kubernetes user. The Operator Framework is used to build operators which reconcile the desired state specified in a Custom Resource with the actual state of the cluster. Operators can be built using the Operator SDK and can leverage different runtimes like Go, Ansible, or Helm. Once installed, end users can create operator-managed resources like Postgres in their own namespaces through the Kubernetes API.
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.
Exploring MySQL Operator for Kubernetes in PythonIvan Ma
The document discusses the MySQL Operator for Kubernetes, which allows users to run MySQL clusters on Kubernetes. It provides an overview of how the operator works using the Kopf framework to create Kubernetes custom resources and controllers. It describes how the operator creates deployments, services, and other resources to set up MySQL servers in a stateful set, a replica set for routers, and monitoring. The document also provides instructions for installing the MySQL Operator using Kubernetes manifests or Helm.
Creating Kubernetes multi clusters with ClusterAPI in the Hetzner CloudTobias Schneck
Based on Fabian’s talk, where we learned how to setup a Kubernetes cluster at Hetzner for small environments, Tobias and Alvaro will take a look to the approach to orchestrate and manage one or more cluster by the Cluster API project (a subproject of sig-cluster-lifecycle). The main idea behind it is to use the Kubernetes API itself to manage multiple clusters with there master and worker nodes in same way you would manage your PODs - define the needed resources and the responsible controller will take care for providing it.
After an overview about the concepts of cluster API, we will show what’s needed to implement a cluster API conform machine class/deployment on top of the Hetzner Cloud API. There we will see that adding your own provider isn’t that hard as you may aspect. At the end of the day it just requires a simple interface to implement. The corresponding controller is available as open source, so its possible to play around with it.
At least a final demo will show how easy it is to spin up and maintain multiple Kubernetes cluster in Hetzner (or other cloud/on-premise providers) over one managing seed cluster. A final wrap up will summarize the current state of the Cluster API project and the advantages of managing clusters as cattles instead of pets.
Kubernetes Basis: Pods, Deployments, and ServicesJian-Kai Wang
Kubernetes is a container management platform and empowers the scalability to the container. In this repository, we address the issues of how to use Kubernetes with real cases. We start from the basic objects in Kubernetes, Pods, deployments, and Services. This repository is also a tutorial for those with advanced containerization skills trying to step into the Kubernetes. We also provide several YAML examples for those looking for quickly deploying services. Please enjoy it and let's start the journey to Kubernetes.
'Ansible Roles done right' is a talk about "Applying TDD while writing roles. Automatic tests powered by Continuous Integration + containers. Quick demo of the new ansible-container." Funny title: "When your applications don't have tests, at least your infrastructure does..."
The document provides an overview of Kubernetes and OpenStack. It includes an agenda that covers topics like containers, orchestration, Kubernetes architecture, components and concepts like pods, replication controllers, and namespaces over 4 days of training. Background information is provided on containers, Docker, and orchestration. Examples are given of defining pods and services using YAML files in Kubernetes.
This document discusses Kube-AWS, which is a tool for deploying Kubernetes clusters on AWS. It outlines the design goals of creating artifacts that are secure, reproducible, and auditable. It then demonstrates "under the hood" how Kube-AWS works by initializing a cluster configuration, rendering assets, deploying the cluster, exporting the deployment details, and making changes to reproduce the cluster. Recent work is noted along with future plans.
Meetup - Principles of the kube api and how to extend itStefan Schimanski
The document discusses principles of the Kubernetes API and how to extend it. It describes how the Kubernetes API is organized into resources, kinds, and API groups. It also covers techniques for extending the Kubernetes API like ThirdPartyResources and API aggregation. API aggregation allows for powerful custom APIs to be added without modifying Kubernetes itself. The document provides examples of querying and modifying API resources to demonstrate how the Kubernetes API works.
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.
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.
Ad
More Related Content
Similar to Automating Kubernetes Environments with Ansible (20)
Build your operator with the right toolRafał Leszko
The document discusses different tools that can be used to build Kubernetes operators, including the Operator SDK, Helm, Ansible, Go, and operator frameworks like KOPF. It provides an overview of how each tool can be used to generate the scaffolding and implement the logic for a sample Hazelcast operator.
If you just stated with Kubernetes, one of the first thing you have to learn is the `kubectl` CLI. Join me at a live hacking journey trough the world of kubectl and how you can improve your daily work to be more productive. Find out the handy day-by-day time savers for your working routine by a pure hands-on talk without slides. In Detail we will look together into:
* kubectl basics
* kubectl for scripting
* kubectl extensions
* the fuzzy side of kubectl
* KubeOps - use kubectl to manage k8s clusters, workers and static virtual machines.
Kubernetes is a container cluster manager that aims to provide a platform for automating deployment, scaling, and operations of application containers across clusters of machines. It uses pods as the basic building block, which are groups of application containers that share storage and networking resources. Kubernetes includes control planes for replication, scheduling, and services to expose applications. It supports deployment of multi-tier applications through replication controllers, services, labels, and pod templates.
Kubernetes Cluster API - managing the infrastructure of multi clusters (k8s ...Tobias Schneck
Thanks to tools like kubeadm, Terraform or Ansible setting up a Kubernetes cluster on a dedicated environment is getting reachable, but what’s about setting up a bunch of cluster in multiple clouds in automatic way? This is still a challenge. Also if you want to do same in your own datacenter. In this talk we will take a look to the approach to orchestrate and manage a whole set of k8s cluster by the Cluster API project of kubernetes (a subproject of sig-cluster-lifecycle). The main idea behind it is to use the Kubernetes API itself to manage multiple clusters with there master and worker nodes in same way you would manage your PODs - define the needed resources and the responsible controller will take care for providing it.
After an overview about the concepts of cluster API, I will show what’s needed to implement a cluster API conform machine class/deployment. There I will see that adding your own provider isn’t that hard as you may aspect. At the end of the day it just requires a simple interface to implement. The corresponding kubermatic controllers we implemented at Loodse are available as open source, so its possible to play around with it. A live demo will show how easy it is to spin up and maintain multiple Kubernetes cluster at different public and on-premise cloud providers over one managing cluster. A final wrap up will summarize the current state of the Cluster API project and the advantages of managing clusters as cattles instead of pets.
An Operator is an application that encodes the domain knowledge of the application and extends the Kubernetes API through custom resources. They enable users to create, configure, and manage their applications. Operators have been around for a while now, and that has allowed for patterns and best practices to be developed.
In this talk, Lili will explain what operators are in the context of Kubernetes and present the different tools out there to create and maintain operators over time. She will end by demoing the building of an operator from scratch, and also using the helper tools available out there.
Salt and Ansible are both popular tools for network orchestration and automation. Salt uses a centralized master-minion architecture where configuration files and templates are stored on the master. Ansible uses an agentless architecture where playbooks are run directly on managed nodes. Both tools support network device configuration through modules like NAPALM that provide a common API. Salt states and Ansible playbooks define the desired configuration through templates that are rendered and installed on devices. The tools detect configuration drift and make necessary changes.
Link: https://youtu.be/_lQhoCUQReU
https://go.dok.community/slack
https://dok.community/
From the DoK Day EU 2022 (https://youtu.be/Xi-h4XNd5tE)
The ability to extend Kubernetes with Custom Resource Definitions and respective controllers has led to the OperatorSDK, which became
the de facto standard for data service automation on Kubernetes. There are countless operator implementations available, and new operators are
being released on a daily basis. Organizations managing hundreds of Kubernetes clusters for dozens of developer teams are also challenged to
manage the lifecycle of hundreds of Kubernetes operators. The goal is to keep the operational overhead to a minimum.
In this talk, a closer look into the lifecycle of operators will be presented. With an understanding of how operators evolve, it becomes clear what
challenges during operator upgrades. A brief overview of lifecycle management tools such as Helm, OLM, and Carvel is presented in this context. In particular, it will be discussed whether these tools can help, which restrictions apply and where further development would be desirable.
At the end of this talk, you will know what operator lifecycle management is about, what its challenges are, and which tools may be used to reduce operational friction.
-----
Julian Fischer, CEO of anynines, has dedicated his career to the automation of software operations. In more than fifteen years, he has built several application platforms. He has been using Kubernetes, Cloud Foundry, and BOSH in recent years. Within platform automation, Julian has a strong focus on data service automation at scale.
In this talk, a closer look into the lifecycle of operators will be presented. With an understanding of how operators evolve, it becomes clear what
challenges during operator upgrades. A brief overview of lifecycle management tools such as Helm, OLM, and Carvel is presented in this context. In particular, it will be discussed whether these tools can help, which restrictions apply and where further development would be desirable.
At the end of this talk, you will know what operator lifecycle management is about, what its challenges are, and which tools may be used to reduce operational friction.
This talk was given by Julian Fischer for DoK Day Europe @ KubeCon 2022.
The document discusses running distributed applications like Spark on Kubernetes. It provides an overview of Kubernetes concepts like nodes, services and pods. It then demonstrates running Spark on Kubernetes by submitting a Spark job and shows how the application scales by increasing the number of pods. It explains that the Kubernetes submission client translates spark-submit options to Kubernetes API resources and that the CoarseGrainedSchedulerBackend is used to schedule executors on pods.
K8s in 3h - Kubernetes Fundamentals TrainingPiotr Perzyna
Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. This training helps you understand key concepts within 3 hours.
Operators are automated software managers for Kubernetes applications that extend the Kubernetes API to create, configure, and manage instances of complex stateful applications on behalf of a Kubernetes user. The Operator Framework is used to build operators which reconcile the desired state specified in a Custom Resource with the actual state of the cluster. Operators can be built using the Operator SDK and can leverage different runtimes like Go, Ansible, or Helm. Once installed, end users can create operator-managed resources like Postgres in their own namespaces through the Kubernetes API.
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.
Exploring MySQL Operator for Kubernetes in PythonIvan Ma
The document discusses the MySQL Operator for Kubernetes, which allows users to run MySQL clusters on Kubernetes. It provides an overview of how the operator works using the Kopf framework to create Kubernetes custom resources and controllers. It describes how the operator creates deployments, services, and other resources to set up MySQL servers in a stateful set, a replica set for routers, and monitoring. The document also provides instructions for installing the MySQL Operator using Kubernetes manifests or Helm.
Creating Kubernetes multi clusters with ClusterAPI in the Hetzner CloudTobias Schneck
Based on Fabian’s talk, where we learned how to setup a Kubernetes cluster at Hetzner for small environments, Tobias and Alvaro will take a look to the approach to orchestrate and manage one or more cluster by the Cluster API project (a subproject of sig-cluster-lifecycle). The main idea behind it is to use the Kubernetes API itself to manage multiple clusters with there master and worker nodes in same way you would manage your PODs - define the needed resources and the responsible controller will take care for providing it.
After an overview about the concepts of cluster API, we will show what’s needed to implement a cluster API conform machine class/deployment on top of the Hetzner Cloud API. There we will see that adding your own provider isn’t that hard as you may aspect. At the end of the day it just requires a simple interface to implement. The corresponding controller is available as open source, so its possible to play around with it.
At least a final demo will show how easy it is to spin up and maintain multiple Kubernetes cluster in Hetzner (or other cloud/on-premise providers) over one managing seed cluster. A final wrap up will summarize the current state of the Cluster API project and the advantages of managing clusters as cattles instead of pets.
Kubernetes Basis: Pods, Deployments, and ServicesJian-Kai Wang
Kubernetes is a container management platform and empowers the scalability to the container. In this repository, we address the issues of how to use Kubernetes with real cases. We start from the basic objects in Kubernetes, Pods, deployments, and Services. This repository is also a tutorial for those with advanced containerization skills trying to step into the Kubernetes. We also provide several YAML examples for those looking for quickly deploying services. Please enjoy it and let's start the journey to Kubernetes.
'Ansible Roles done right' is a talk about "Applying TDD while writing roles. Automatic tests powered by Continuous Integration + containers. Quick demo of the new ansible-container." Funny title: "When your applications don't have tests, at least your infrastructure does..."
The document provides an overview of Kubernetes and OpenStack. It includes an agenda that covers topics like containers, orchestration, Kubernetes architecture, components and concepts like pods, replication controllers, and namespaces over 4 days of training. Background information is provided on containers, Docker, and orchestration. Examples are given of defining pods and services using YAML files in Kubernetes.
This document discusses Kube-AWS, which is a tool for deploying Kubernetes clusters on AWS. It outlines the design goals of creating artifacts that are secure, reproducible, and auditable. It then demonstrates "under the hood" how Kube-AWS works by initializing a cluster configuration, rendering assets, deploying the cluster, exporting the deployment details, and making changes to reproduce the cluster. Recent work is noted along with future plans.
Meetup - Principles of the kube api and how to extend itStefan Schimanski
The document discusses principles of the Kubernetes API and how to extend it. It describes how the Kubernetes API is organized into resources, kinds, and API groups. It also covers techniques for extending the Kubernetes API like ThirdPartyResources and API aggregation. API aggregation allows for powerful custom APIs to be added without modifying Kubernetes itself. The document provides examples of querying and modifying API resources to demonstrate how the Kubernetes API works.
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.
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.
Generative Artificial Intelligence (GenAI) in BusinessDr. Tathagat Varma
My talk for the Indian School of Business (ISB) Emerging Leaders Program Cohort 9. In this talk, I discussed key issues around adoption of GenAI in business - benefits, opportunities and limitations. I also discussed how my research on Theory of Cognitive Chasms helps address some of these issues
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.
What is Model Context Protocol(MCP) - The new technology for communication bw...Vishnu Singh Chundawat
The MCP (Model Context Protocol) is a framework designed to manage context and interaction within complex systems. This SlideShare presentation will provide a detailed overview of the MCP Model, its applications, and how it plays a crucial role in improving communication and decision-making in distributed systems. We will explore the key concepts behind the protocol, including the importance of context, data management, and how this model enhances system adaptability and responsiveness. Ideal for software developers, system architects, and IT professionals, this presentation will offer valuable insights into how the MCP Model can streamline workflows, improve efficiency, and create more intuitive systems for a wide range of use cases.
TrustArc Webinar: Consumer Expectations vs Corporate Realities on Data Broker...TrustArc
Most consumers believe they’re making informed decisions about their personal data—adjusting privacy settings, blocking trackers, and opting out where they can. However, our new research reveals that while awareness is high, taking meaningful action is still lacking. On the corporate side, many organizations report strong policies for managing third-party data and consumer consent yet fall short when it comes to consistency, accountability and transparency.
This session will explore the research findings from TrustArc’s Privacy Pulse Survey, examining consumer attitudes toward personal data collection and practical suggestions for corporate practices around purchasing third-party data.
Attendees will learn:
- Consumer awareness around data brokers and what consumers are doing to limit data collection
- How businesses assess third-party vendors and their consent management operations
- Where business preparedness needs improvement
- What these trends mean for the future of privacy governance and public trust
This discussion is essential for privacy, risk, and compliance professionals who want to ground their strategies in current data and prepare for what’s next in the privacy landscape.
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 EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...SOFTTECHHUB
I started my online journey with several hosting services before stumbling upon Ai EngineHost. At first, the idea of paying one fee and getting lifetime access seemed too good to pass up. The platform is built on reliable US-based servers, ensuring your projects run at high speeds and remain safe. Let me take you step by step through its benefits and features as I explain why this hosting solution is a perfect fit for digital entrepreneurs.
Complete Guide to Advanced Logistics Management Software in Riyadh.pdfSoftware Company
Explore the benefits and features of advanced logistics management software for businesses in Riyadh. This guide delves into the latest technologies, from real-time tracking and route optimization to warehouse management and inventory control, helping businesses streamline their logistics operations and reduce costs. Learn how implementing the right software solution can enhance efficiency, improve customer satisfaction, and provide a competitive edge in the growing logistics sector of Riyadh.
Dev Dives: Automate and orchestrate your processes with UiPath MaestroUiPathCommunity
This session is designed to equip developers with the skills needed to build mission-critical, end-to-end processes that seamlessly orchestrate agents, people, and robots.
📕 Here's what you can expect:
- Modeling: Build end-to-end processes using BPMN.
- Implementing: Integrate agentic tasks, RPA, APIs, and advanced decisioning into processes.
- Operating: Control process instances with rewind, replay, pause, and stop functions.
- Monitoring: Use dashboards and embedded analytics for real-time insights into process instances.
This webinar is a must-attend for developers looking to enhance their agentic automation skills and orchestrate robust, mission-critical processes.
👨🏫 Speaker:
Andrei Vintila, Principal Product Manager @UiPath
This session streamed live on April 29, 2025, 16:00 CET.
Check out all our upcoming Dev Dives sessions at https://community.uipath.com/dev-dives-automation-developer-2025/.
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?
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! 🚀
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.
Procurement Insights Cost To Value Guide.pptxJon Hansen
Procurement Insights integrated Historic Procurement Industry Archives, serves as a powerful complement — not a competitor — to other procurement industry firms. It fills critical gaps in depth, agility, and contextual insight that most traditional analyst and association models overlook.
Learn more about this value- driven proprietary service offering here.
8. $ kubectl create -f
deploy/crds/cache.example.com_memcacheds_crd.yaml
$ kubectl create -f deploy/service_account.yaml
$ kubectl create -f deploy/role.yaml
$ kubectl create -f deploy/role_binding.yaml
$ kubectl create -f deploy/operator.yaml
# we are skipping over the instructions to run sed commands or make
# manual edits to these files here.
13. ● Encode human operational knowledge
● Automatically patch, upgrade, recover, and tune
container-based apps and services
● Kubernetes-native
● Purpose-built for a specific application or service
● Enable “day 2” management
Operators simplify management of complex applications
on Kubernetes
14. Phase I Phase II Phase III Phase IV Phase V
Basic Install
Automated application
provisioning and
configuration management
Seamless Upgrades
Patch and minor version
upgrades supported
Full Lifecycle
App lifecycle, storage
lifecycle (backup, failure
recovery)
Deep Insights
Metrics, alerts, log
processing and workload
analysis
Auto Pilot
Horizontal/vertical scaling,
auto config tuning, abnormal
detection, scheduling tuning
17. your Operator image
Ansible Role
Ansible Role
watches.yaml
base Ansible Operator SDK image
Operator SDK Binary
ansible-runner
Ansible
Python + Libraries
18. ● Initialize Your Operator With Ansible
○ $ operator-sdk new foo-operator
--api-version=cache.example.com/v1alpha1 --kind=Foo --type=ansible
● Automate With Ansible
○ Create new roles and playbooks or reuse an existing one
● Define a watches file
○ Map a Kubernetes object to your Ansible content
● Build Your Operator
○ $ operator-sdk build foo-operator:v0.0.1
● Deploy Your Operator to a Kubernetes Cluster
22. GitOps the Ansible Way
23
CI REGISTRY
DEV
CODE
REPO
CONFIG
REPO
R
W
R
W
R
O
“OPS”
R
W
23. Advantages of using Ansible
24
GitOps Beyond Cloud-Native
▸ Supports cloud-native and traditional IT
automation
▸ Integrations beyond Kubernetes such as
cloud & networking
24. Advantages of using Ansible
25
Flexibility To Do More
▸ Flexibility and freedom to choose what you
need
▸ Deploy, manage and automate multiple
environments thru one control plane.
▸ No dedicated GitOps “agent” required
26. Resources & More
27
▸ Ansible K8s Modules
・ https://docs.ansible.com/ansible/latest/modules/list_of_clustering_modules.html#k8s
▸ How Useful Is Ansible In A Cloud-Native Kubernetes Environment?
・ https://www.ansible.com/blog/how-useful-is-ansible-in-a-cloud-native-kubernetes-environment
▸ Building Kubernetes Operators in an Ansible-native way (Webinar)
・ https://www.cncf.io/webinars/building-kubernetes-operators-in-an-ansible-native-way/
▸ Creating Ansible-based Operators
・ https://docs.openshift.com/container-platform/4.5/operators/operator_sdk/osdk-ansible.html
▸ Using Ansible Automation Webhooks for GitOps
・ https://www.redhat.com/sysadmin/ansible-webhooks-gitops
▸ Guide to GitOps
・ https://www.weave.works/technologies/gitops/