An RSVP app designed to be deployed by the dockers on the Kubernetes Minikube Cluster. Front end with flask framework and MongoDB as a backend database.
Youtube video:https://youtu.be/KnjnQj-FvfQ
My talk at FullStackFest, 4.9.2017. Become more familiar with managing infrastructure using Terraform, Packer and deployment pipeline. Code repository - https://github.com/antonbabenko/terraform-deployment-pipeline-talk
Building infrastructure as code using Terraform - DevOps KrakowAnton Babenko
This document provides an overview of a DevOps meetup on building infrastructure as code using Terraform. The agenda includes Terraform basics, frequent questions, and problems. The presenter then discusses Terraform modules, tools, and solutions. He addresses common questions like secrets handling and integration with other tools. Finally, he solicits questions from the audience on Terraform use cases and challenges.
Slides on "Effective Terraform" from the SF Devops for Startups Meetup
https://www.meetup.com/SF-DevOps-for-Startups/events/237272658/
Roko Kruze of vectorized.io describes real-time analytics using Redpanda event streams and ClickHouse data warehouse. 15 December 2021 SF Bay Area ClickHouse Meetup
Best Practices for Middleware and Integration Architecture Modernization with...Claus Ibsen
This document discusses best practices for middleware and integration architecture modernization using Apache Camel. It provides an overview of Apache Camel, including what it is, how it works through routes, and the different Camel projects. It then covers trends in integration architecture like microservices, cloud native, and serverless. Key aspects of Camel K and Camel Quarkus are summarized. The document concludes with a brief discussion of the Camel Kafka Connector and pointers to additional resources.
Terraform is a tool for provisioning and managing infrastructure safely and efficiently. It allows infrastructure to be defined as code so it can be versioned, shared, and treated like any other code. Key features include showing execution plans so changes are not a surprise, building a graph of dependencies to parallelize changes, and enabling complex automated changesets to infrastructure. Operators use Terraform for the benefits of infrastructure as code, managing multiple cloud platforms through a single workflow, and providing self-service infrastructure through reusable modules.
NGINX Ingress Controller for KubernetesNGINX, Inc.
Presentation by Michael Pleshakov from NGINX to GDG Cloud Düsseldorf Meetup group on using NGINX as an Ingress Controller for Kubernetes. This presentation is for Kubernetes users, looking to deliver applications on Kubernetes in production. You will learn how to:
- install the Ingress Controller through Kubernetes manifests or Helm;
- configure the Ingress Controller to load balance HTTP and TCP/UDP applications;
- monitor the Ingress Controller using Prometheus;
- troubleshoot the Ingress Controller in case of problems;
- extend the Ingress Controller to support advanced load balancing requirements.
Terraform modules and best-practices - September 2018Anton Babenko
Slides for my "Terraform modules and best-practices" talk on meetups during September 2018.
Some links from the slides:
https://www.terraform-best-practices.com/
https://cloudcraft.co/
https://github.com/terraform-aws-modules/
https://github.com/antonbabenko/modules.tf-lambda
Infrastructure-as-Code (IaC) using TerraformAdin Ermie
Learn the benefits of Infrastructure-as-Code (IaC), what Terraform is and why people love it, along with a breakdown of the basics (including live demo deployments). Then wrap up with a comparison of Azure Resource Manager (ARM) templates versus Terraform, consider some best practices, and walk away with some key resources in your Terraform learning adventure.
HelloCloud.io - Introduction to IaC & TerraformHello Cloud
This document discusses Infrastructure as Code (IAC) and provides examples of using Terraform to define and manage infrastructure across multiple cloud providers. It introduces IAC as treating infrastructure like software that can be defined, versioned, tested, and managed through code. Common IAC tools like Terraform, Google Deployment Manager, and Azure Resource Manager are mentioned. The document then provides a sample Terraform configuration that defines AWS VPCs and sets up a peering connection between them to demonstrate how Terraform can provision and manage cloud infrastructure.
This document discusses Terraform, an open source tool for building, changing, and versioning infrastructure safely and efficiently. It provides declarative configuration files to manage networks, virtual machines, containers, and other infrastructure resources. The document introduces Terraform and how it works, provides examples of Terraform code and its output, and offers best practices for using Terraform including separating infrastructure code from application code, using modules, and managing state. Terraform allows infrastructure to be treated as code, provides a faster development cycle than other tools like CloudFormation, and helps promote a devOps culture.
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.
This document provides an introduction and overview of Terraform, including what it is, why it is used, common use cases, and how it compares to CloudFormation. It then demonstrates hands-on examples of using Terraform to provision AWS resources like S3 buckets, EC2 instances, and CloudFront distributions. The workflow of initializing, planning, and applying changes with Terraform is also outlined.
This document discusses infrastructure as code and the HashiCorp ecosystem. Infrastructure as code allows users to define and provision infrastructure through code rather than manual configuration. It can be used to launch, create, change, and downscale infrastructure based on configuration files. Tools like Terraform allow showing what changes will occur before applying them through files like main.tf and variables.tf. Terraform is part of the broader HashiCorp ecosystem of tools.
This document provides an overview of a workshop on using Terraform to manage AWS infrastructure as code. The workshop objective is to get started using Terraform to build, change, and version AWS resources in an easy and efficient manner. Attendees will learn about Terraform concepts like providers, resources, execution plans, and state management. The workshop will demonstrate how to install Terraform and AWS CLI, configure credentials, and build sample infrastructure on AWS including a "Hello World" instance. It will also cover additional Terraform topics like variables, outputs, modules, and data sources.
This document provides an overview and introduction to Terraform, including:
- Terraform is an open-source tool for building, changing, and versioning infrastructure safely and efficiently across multiple cloud providers and custom solutions.
- It discusses how Terraform compares to other tools like CloudFormation, Puppet, Chef, etc. and highlights some key Terraform facts like its versioning, community, and issue tracking on GitHub.
- The document provides instructions on getting started with Terraform by installing it and describes some common Terraform commands like apply, plan, and refresh.
- Finally, it briefly outlines some key Terraform features and example use cases like cloud app setup, multi
This document provides an introduction to Terraform and its key concepts. It describes Terraform as a tool for building, changing, and versioning infrastructure safely and efficiently using declarative configuration files. The document outlines some of Terraform's main components like providers, data sources, resources, variables and outputs. It also discusses the benefits of structuring Terraform configurations using modules to improve reusability and manageability.
The document discusses Terraform, an infrastructure as code tool. It covers installing Terraform, deploying infrastructure like EC2 instances using Terraform configuration files, destroying resources, and managing Terraform state. Key topics include authentication with AWS for Terraform, creating a basic EC2 instance, validating and applying configuration changes, and storing state locally versus remotely.
The document provides an overview of Terraform and discusses why it was chosen over other infrastructure as code tools. It outlines an agenda covering Terraform installation, configuration, and use of data sources and resources to build example infrastructure including a VCN, internet gateway, subnets, and how to taint and destroy resources. The live demo then walks through setting up Terraform and using it to provision example OCI resources.
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.
The objective of this article is to describe what to monitor in and around Alfresco in order to have a good understanding of how the applications are performing and to be aware of potential issues.
Terraform is an open source tool for building, changing, and versioning infrastructure safely and efficiently. It allows users to define and provision a datacenter infrastructure using a high-level configuration language known as HashiCorp Configuration Language. Some key features of Terraform include supporting multiple cloud providers and services, being declarative and reproducible, and maintaining infrastructure as code with immutable infrastructure. It works by defining configuration files that specify what resources need to be created. The configuration is written in HCL. Terraform uses these files to create and manage infrastructure resources like VMs, network, storage, containers and more across multiple cloud platforms.
The document provides an overview of Git and its usage. It introduces Git as a source code management and distributed version control system. Key topics covered include setting up Git, creating local and remote repositories, tracking changes using commits, and collaborating through branches and by pushing to remote repositories. The document also includes exercises for readers to practice common Git commands.
This document discusses Terraform, an open-source tool that allows users to define and provision infrastructure resources in a declarative configuration file. It summarizes that Terraform allows users to build, change, and destroy infrastructure components like compute instances, storage buckets, and networking through declarative configuration files, enabling an infrastructure-as-code approach that is easy to version, track changes for, and integrate with continuous delivery practices.
Building Cloud-Native Applications with Kubernetes, Helm and KubelessBitnami
This document discusses building cloud-native applications with Kubernetes, Helm, and Kubeless. It introduces cloud-native concepts like containers and microservices. It then explains how Kubernetes provides container orchestration and Helm provides application packaging. Finally, it discusses how Kubeless enables serverless functionality on Kubernetes.
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. Kubernetes can schedule containers across a cluster of nodes, provide basic health checking and recovery of containers, and expose containers to the internet. Some key aspects include using microservices, container orchestration, continuous integration/delivery (CI/CD), and deployment automation.
Infrastructure-as-Code (IaC) using TerraformAdin Ermie
Learn the benefits of Infrastructure-as-Code (IaC), what Terraform is and why people love it, along with a breakdown of the basics (including live demo deployments). Then wrap up with a comparison of Azure Resource Manager (ARM) templates versus Terraform, consider some best practices, and walk away with some key resources in your Terraform learning adventure.
HelloCloud.io - Introduction to IaC & TerraformHello Cloud
This document discusses Infrastructure as Code (IAC) and provides examples of using Terraform to define and manage infrastructure across multiple cloud providers. It introduces IAC as treating infrastructure like software that can be defined, versioned, tested, and managed through code. Common IAC tools like Terraform, Google Deployment Manager, and Azure Resource Manager are mentioned. The document then provides a sample Terraform configuration that defines AWS VPCs and sets up a peering connection between them to demonstrate how Terraform can provision and manage cloud infrastructure.
This document discusses Terraform, an open source tool for building, changing, and versioning infrastructure safely and efficiently. It provides declarative configuration files to manage networks, virtual machines, containers, and other infrastructure resources. The document introduces Terraform and how it works, provides examples of Terraform code and its output, and offers best practices for using Terraform including separating infrastructure code from application code, using modules, and managing state. Terraform allows infrastructure to be treated as code, provides a faster development cycle than other tools like CloudFormation, and helps promote a devOps culture.
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.
This document provides an introduction and overview of Terraform, including what it is, why it is used, common use cases, and how it compares to CloudFormation. It then demonstrates hands-on examples of using Terraform to provision AWS resources like S3 buckets, EC2 instances, and CloudFront distributions. The workflow of initializing, planning, and applying changes with Terraform is also outlined.
This document discusses infrastructure as code and the HashiCorp ecosystem. Infrastructure as code allows users to define and provision infrastructure through code rather than manual configuration. It can be used to launch, create, change, and downscale infrastructure based on configuration files. Tools like Terraform allow showing what changes will occur before applying them through files like main.tf and variables.tf. Terraform is part of the broader HashiCorp ecosystem of tools.
This document provides an overview of a workshop on using Terraform to manage AWS infrastructure as code. The workshop objective is to get started using Terraform to build, change, and version AWS resources in an easy and efficient manner. Attendees will learn about Terraform concepts like providers, resources, execution plans, and state management. The workshop will demonstrate how to install Terraform and AWS CLI, configure credentials, and build sample infrastructure on AWS including a "Hello World" instance. It will also cover additional Terraform topics like variables, outputs, modules, and data sources.
This document provides an overview and introduction to Terraform, including:
- Terraform is an open-source tool for building, changing, and versioning infrastructure safely and efficiently across multiple cloud providers and custom solutions.
- It discusses how Terraform compares to other tools like CloudFormation, Puppet, Chef, etc. and highlights some key Terraform facts like its versioning, community, and issue tracking on GitHub.
- The document provides instructions on getting started with Terraform by installing it and describes some common Terraform commands like apply, plan, and refresh.
- Finally, it briefly outlines some key Terraform features and example use cases like cloud app setup, multi
This document provides an introduction to Terraform and its key concepts. It describes Terraform as a tool for building, changing, and versioning infrastructure safely and efficiently using declarative configuration files. The document outlines some of Terraform's main components like providers, data sources, resources, variables and outputs. It also discusses the benefits of structuring Terraform configurations using modules to improve reusability and manageability.
The document discusses Terraform, an infrastructure as code tool. It covers installing Terraform, deploying infrastructure like EC2 instances using Terraform configuration files, destroying resources, and managing Terraform state. Key topics include authentication with AWS for Terraform, creating a basic EC2 instance, validating and applying configuration changes, and storing state locally versus remotely.
The document provides an overview of Terraform and discusses why it was chosen over other infrastructure as code tools. It outlines an agenda covering Terraform installation, configuration, and use of data sources and resources to build example infrastructure including a VCN, internet gateway, subnets, and how to taint and destroy resources. The live demo then walks through setting up Terraform and using it to provision example OCI resources.
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.
The objective of this article is to describe what to monitor in and around Alfresco in order to have a good understanding of how the applications are performing and to be aware of potential issues.
Terraform is an open source tool for building, changing, and versioning infrastructure safely and efficiently. It allows users to define and provision a datacenter infrastructure using a high-level configuration language known as HashiCorp Configuration Language. Some key features of Terraform include supporting multiple cloud providers and services, being declarative and reproducible, and maintaining infrastructure as code with immutable infrastructure. It works by defining configuration files that specify what resources need to be created. The configuration is written in HCL. Terraform uses these files to create and manage infrastructure resources like VMs, network, storage, containers and more across multiple cloud platforms.
The document provides an overview of Git and its usage. It introduces Git as a source code management and distributed version control system. Key topics covered include setting up Git, creating local and remote repositories, tracking changes using commits, and collaborating through branches and by pushing to remote repositories. The document also includes exercises for readers to practice common Git commands.
This document discusses Terraform, an open-source tool that allows users to define and provision infrastructure resources in a declarative configuration file. It summarizes that Terraform allows users to build, change, and destroy infrastructure components like compute instances, storage buckets, and networking through declarative configuration files, enabling an infrastructure-as-code approach that is easy to version, track changes for, and integrate with continuous delivery practices.
Building Cloud-Native Applications with Kubernetes, Helm and KubelessBitnami
This document discusses building cloud-native applications with Kubernetes, Helm, and Kubeless. It introduces cloud-native concepts like containers and microservices. It then explains how Kubernetes provides container orchestration and Helm provides application packaging. Finally, it discusses how Kubeless enables serverless functionality on Kubernetes.
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. Kubernetes can schedule containers across a cluster of nodes, provide basic health checking and recovery of containers, and expose containers to the internet. Some key aspects include using microservices, container orchestration, continuous integration/delivery (CI/CD), and deployment automation.
Containerization provides benefits like consistent environments, lightweight packages, and efficient resource utilization and isolation. Kubernetes is an open-source platform that provides tools to automate deployment, scaling, and management of containerized applications. It groups containerized applications into logical units called pods and uses labels to identify pods. It provides features like service discovery, load balancing, rolling updates, and self-healing capabilities. Kubernetes aims to provide a platform for automating deployment, scaling and operations of application containers across clusters of hosts.
Getting started with google kubernetes engineShreya Pohekar
This document provides an overview of Google Kubernetes Engine. It begins with introductions and defines key concepts like virtualization, containerization, Docker, and Kubernetes. It then explains what Kubernetes is and how it can orchestrate container infrastructure on-premises or in the cloud. Various Kubernetes architecture elements are outlined like pods, replica sets, deployments, and services. Security features are also summarized, including pod security policies, network policies, and using security contexts. The document concludes with a demonstration of Kubernetes Engine.
Introduction to containers, k8s, Microservices & Cloud NativeTerry Wang
Slides built to upskill and enable internal team and/or partners on foundational infra skills to work in a containerized world.
Topics covered
- Container / Containerization
- Docker
- k8s / container orchestration
- Microservices
- Service Mesh / Serverless
- Cloud Native (apps & infra)
- Relationship between Kubernetes and Runtime Fabric
Audiences: MuleSoft internal technical team, partners, Runtime Fabric users.
Docker and Kubernetes Training | Kubernetes Online Trainingnavyatejavisualpath
Visualpath provides the best Kubernetes Certification Training Worldwide led by real-time instructors. Avail complete job-oriented Docker and Kubernetes Training Course by simply enrolling in our institute in Ameerpet. Enroll for a Free Demo. Call +91-9989971070.
Visit Blog: https://visualpathblogs.com/
WhatsApp: https://www.whatsapp.com/catalog/917032290546/
Visit: https://www.visualpath.in/DevOps-docker-kubernetes-training.html
What is the Difference Between Kubernetes and Docker?Ravendra Singh
Apps that operate in containers may be automatically scaled, deployed, and managed with the help of Kubernetes, an open-source cloud-native infrastructure solution that is available for free. While Kubernetes was first developed and maintained by Google, the Cloud Native Computing Foundation took over the development and management of the system.
Visualpath provides the Best Docker Online Training by real-time faculty from Top MNCs. We are providing Certified Kubernetes Security Online Training in Ameerpet as well as the USA, UK, Canada, Dubai, and Australia. You can schedule a free demo by contacting us at +91-9989971070.
Visit Blog: https://visualpathblogs.com/
WhatsApp: https://www.whatsapp.com/catalog/917032290546/
Visit: https://www.visualpath.in/DevOps-docker-kubernetes-training.html
Cloud technology with practical knowledgeAnshikaNigam8
Docker uses a client-server architecture with a Docker client communicating with the Docker daemon. The daemon manages Docker objects like images, containers, networks and volumes. Kubernetes is an open-source system that automates deployment, scaling, and management of containerized applications. It ensures containers run as expected and acquires necessary resources. Key Kubernetes components include pods, deployments, services, nodes, and the control plane which manages the cluster.
This document provides an overview of Docker and Kubernetes (K8S). It defines Docker as an open platform for developing, shipping and running containerized applications. Key Docker features include isolation, low overhead and cross-cloud support. Kubernetes is introduced as an open-source tool for automating deployment, scaling, and management of containerized applications. It operates at the container level. The document then covers K8S architecture, including components like Pods, Deployments, Services and Nodes, and how K8S orchestrates containers across clusters.
Best online kubernetes course in H2KInfosys.pdfabhayah2k
H2K Infosys is a proven industry leader in delivering online training programs in a wide range of technologies ever since 2005. Listed below are the numerous advantages of choosing us for Kubernetes online training.
Multi-Cloud Orchestration for Kubernetes with Cloudify - Webinar PresentationCloudify Community
Watch the webinar at:
http://cloudify.co/webinars/multi-cloud-orchestration-kubernetes
Tune in as we unveil the new capabilities for maximizing use of Kubernetes with the new Cloudify Kubernetes Plugin, and the new Cloudify Kubernetes provider. Using Kubernetes with Cloudify has never been easier or more powerful, as you can now easily provision workloads on both cloud based VM’s and containers, or have total control and flexibility by using Cloudify as a Kubernetes IaaS.
Multi-Cloud Orchestration for Kubernetes with CloudifyCloudify Community
This presentation details Cloudify's Kubernetes plugin as well as Kubernetes Provider, offering complete integration with K8s and delivering multi-cloud container-based orchestration.
Oscon 2017: Build your own container-based system with the Moby projectPatrick Chanezon
Build your own container-based system
with the Moby project
Docker Community Edition—an open source product that lets you build, ship, and run containers—is an assembly of modular components built from an upstream open source project called Moby. Moby provides a “Lego set” of dozens of components, the framework for assembling them into specialized container-based systems, and a place for all container enthusiasts to experiment and exchange ideas.
Patrick Chanezon and Mindy Preston explain how you can leverage the Moby project to assemble your own specialized container-based system, whether for IoT, cloud, or bare-metal scenarios. Patrick and Mindy explore Moby’s framework, components, and tooling, focusing on two components: LinuxKit, a toolkit to build container-based Linux subsystems that are secure, lean, and portable, and InfraKit, a toolkit for creating and managing declarative, self-healing infrastructure. Along the way, they demo how to use Moby, LinuxKit, InfraKit, and other components to quickly assemble full-blown container-based systems for several use cases and deploy them on various infrastructures.
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.
Evaluating Serverless Machine Learning Performance On Google Cloud Run.pptxPrerana Khatiwada
This document discusses evaluating serverless machine learning performance on Google Cloud Run. It introduces containerization using Docker and features of Google Cloud Run. The authors propose a model to containerize a Flask app with a TensorFlow image classification model and deploy it to Google Cloud Platform. They test the scalability and performance under different load scenarios using Locust and analyze the results. The authors conclude that serverless architectures like Cloud Run provide strong scalability, robustness and portability.
The document summarizes the key features and benefits of Docker Enterprise Edition 2.0. It highlights that Docker EE provides choice, agility, and security by offering support for both Linux and Windows, hybrid and multi-cloud deployments, traditional and microservices applications, and both Docker Swarm and Kubernetes orchestration. It provides flexibility through options for container networking, application deployment using Compose or Kubernetes YAML files, and leveraging all of Kubernetes' features while allowing the CNI plugin to be swapped. This allows organizations to standardize on Docker EE while maintaining flexibility.
Modern big data and machine learning in the era of cloud, docker and kubernetesSlim Baltagi
There is a major shift in web and mobile application architecture from the ‘old-school’ one to a modern ‘micro-services’ architecture based on containers. Kubernetes has been quite successful in managing those containers and running them in distributed computing environments.
Now enabling Big Data and Machine Learning on Kubernetes will allow IT organizations to standardize on the same Kubernetes infrastructure. This will propel adoption and reduce costs.
Kubeflow is an open source framework dedicated to making it easy to use the machine learning tool of your choice and deploy your ML applications at scale on Kubernetes. Kubeflow is becoming an industry standard as well!
Both Kubernetes and Kubeflow will enable IT organizations to focus more effort on applications rather than infrastructure.
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.
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.
Massive Power Outage Hits Spain, Portugal, and France: Causes, Impact, and On...Aqusag Technologies
In late April 2025, a significant portion of Europe, particularly Spain, Portugal, and parts of southern France, experienced widespread, rolling power outages that continue to affect millions of residents, businesses, and infrastructure systems.
AI and Data Privacy in 2025: Global TrendsInData Labs
In this infographic, we explore how businesses can implement effective governance frameworks to address AI data privacy. Understanding it is crucial for developing effective strategies that ensure compliance, safeguard customer trust, and leverage AI responsibly. Equip yourself with insights that can drive informed decision-making and position your organization for success in the future of data privacy.
This infographic contains:
-AI and data privacy: Key findings
-Statistics on AI data privacy in the today’s world
-Tips on how to overcome data privacy challenges
-Benefits of AI data security investments.
Keep up-to-date on how AI is reshaping privacy standards and what this entails for both individuals and organizations.
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.
Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next.
Link to recording, presentation slides, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/
Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.
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
HCL Nomad Web – Best Practices and Managing Multiuser Environmentspanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-and-managing-multiuser-environments/
HCL Nomad Web is heralded as the next generation of the HCL Notes client, offering numerous advantages such as eliminating the need for packaging, distribution, and installation. Nomad Web client upgrades will be installed “automatically” in the background. This significantly reduces the administrative footprint compared to traditional HCL Notes clients. However, troubleshooting issues in Nomad Web present unique challenges compared to the Notes client.
Join Christoph and Marc as they demonstrate how to simplify the troubleshooting process in HCL Nomad Web, ensuring a smoother and more efficient user experience.
In this webinar, we will explore effective strategies for diagnosing and resolving common problems in HCL Nomad Web, including
- Accessing the console
- Locating and interpreting log files
- Accessing the data folder within the browser’s cache (using OPFS)
- Understand the difference between single- and multi-user scenarios
- Utilizing Client Clocking
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.
The Evolution of Meme Coins A New Era for Digital Currency ppt.pdfAbi john
Analyze the growth of meme coins from mere online jokes to potential assets in the digital economy. Explore the community, culture, and utility as they elevate themselves to a new era in cryptocurrency.
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
2. Background
"Google's Borg system is a cluster manager that runs hundreds of thousands
of jobs, from many thousands of different applications, across a number of
clusters each with up to tens of thousands of machines."
- Abstarct of Google’s Borg Paper
3. What is Kubernetes?
•The name kubernetes originated from Greek, which means “helmsman” or “Pilot.”
•It is also known as K8s where K is the first character and last 8 letters are replaced by substring
“ubernete”.
● Kubernetes are originally developed by Google in 2014 and now, it is a part of the Cloud Native
Computing Foundation project. It is written in go language.
● It is used to group multiple containers into one unit in order to facilitate management and
deployment of multiple containers.
4. Container Orchestration
First, what is container?
- One kind of way to deliver and package multiple applications with High-performing , scalable
applications on any kind of infrastructure.
5. Need to deploy containers over cluster for large scalable applications. At production stage of the
application, we need to ensure that our application should run as per following:
- Fault-tolerant
- On-demand scalability
- Optimal resource use
- Inter-application communication
- Accessibility from external environment
- Fast update/rollback
Container Orchestration is used to meet all above requirements
6. Container Orchestrators
Kubernetes, Docker Swarm, Amazon ECS, etc...
What can a container orchestrator do?
- Bind hosts to a cluster
- Assign and schedule containers to run on
hosts
- Help communication between containers
running on different hosts
- Bind similar container to manage them as
services
- Keep track of usage and storage
- Enable secure access to apps in containers
Ref : https://coderise.io/wp-content/uploads/2018/01/orchestration-1073x550.png
7. Docker proved to be all of the
following:
● Faster
● Reliable
● Efficient
● Light-weight
● Scalable
But...Docker
Swarm was not
easily Scalable..
8. It was not
scalable
because….
● Container could not
communicate with each
other
● Container had to be
deployed appropriately
● Containers had to be
managed carefully
● Auto scaling was not
possible
● Distributing traffic was
still challenging
9. How does Kubernetes Work
https://upload.wikimedia.org/wikipedia/commons/thumb/b/be/Kubernetes.png/600px-
10. Master: Controls the cluster and
nodes in it.
Nodes: Hold the containers inside
them; containers are inside separate
PODS.
PODS : are logical collection of
containers which need to interact
with each other for an application
Ref : https://d1jnx9ba8s6j9r.cloudfront.net/blog/wp-content/uploads/2018/05/kubernetes-architecture-
768x345.png
Wait, What are the basic components?
13. All right. What is Master Node then?
- API server
- Controller Manager
- Scheduler
- etcd
14. API Server: is management and communication center for master node and its object such as
pods, services, volumes and others. The server takes REST commands from user/operator, then
executes requests
Controller Manager : manages and attempting to change the current state of the cluster to the
desired state
Scheduler : schedules work mainly for worker nodes. The scheduler has information of workers’
resource usage and constraints. It schedules the work in terms of Pod and Service
etcd : is an operator consists of key value for storing cluster states and mainly manages to
maintain healthy state of the cluster
15. What about Worker Node?
- Container runtime
Executes & manages container
images
- Kubelet
Communicates with Master
Node, run containers
- Kube-proxy
It runs on each node and
provides networking services on
each node.
16. Kubernetes Objects
• Unit of deployment, group of containers
deployed on the same hostPod
• Logical interface of service/microserviceService
• Preserves container dataVolume
• Virtual clusterNamespace
19. Kubernetes VS Docker Swarm
Similarities
- Open source projects
- Various storage options
- Load balancing and DNS
- Monitoring
- Support high availability
20. Differences
Scalability:
- Kubernetes
Provides strong cluster state health guarantee
Slower scaling & deployment rate
- Docker Swarm
Deploy container faster compared to Kubernetes
Fast on-demand scaling for smaller cluster
21. Application Definition:
- Kubernetes
Application deployed as pods + deployment + services
Deployment replicated in multiple nodes
- Docker Swarm
Application deployed as services (microservices)
Auto-scaling:
- Kubernetes: available
- Docker Swarm: Not directly available
22. Overall...
Kubernetes:
- Higher complexity, flexible but complex installation, stable support for high demand and large
scale application
Docker Swarm:
- Simple solution for smaller scale application, quick setup
23. Features of Kubernetes
Automatic
binpacking
Self- Healing
Horizontal
scaling
Service
discovery and
Load Balancing
Automatic
rollouts and
rollbacks
Secrets and
configuration
management
Storage
orchestration
Batch
execution
24. Advantages of Kubernetes
Deals with
large data
volume
Auto-scaling
Analyzes server
load to scale
up/down
Logging and
monitoring
Quickly analyze
logs to debug
failures
Monitoring keeps
Master constantly
aware of Worker
Nodes health
Provides GUI
25. Limitations of Kubernetes
•Management tools need to be
installed separately
Complex
installation and
setup procedures
•Newly created process takes
time to initialize before
becoming available to user
Long process
initialization &
slower container
management
26. Demo
● Please follow the link mentioned here to understand working of Kubernetes.
https://www.dropbox.com/s/h67wxttmcb83kd6/final-demo-2018-11-20_01.06.20.mp4?raw=1
27. References
[1]"Compare Kubernetes vs Docker Swarm", Platform9, 2018. [Online]. Available:
https://platform9.com/blog/kubernetes-docker-swarm-compared/. [Accessed: 31- Oct- 2018].
[2]"Production-Grade Container Orchestration", Kubernetes.io, 2018. [Online]. Available: https://kubernetes.io.
[Accessed: 31- Oct- 2018].
[3]S. Ravindra, M. Fredrickson and S. Dyer, "Kubernetes vs. Docker Swarm: What’s the Difference?", The New
Stack, 2018. [Online]. Available: https://thenewstack.io/kubernetes-vs-docker-swarm-whats-the-difference/.
[Accessed: 31- Oct- 2018].
[4]"Understanding the Kubernetes Architecture with a Use-Case", Edureka Blog, 2018. [Online]. Available:
https://www.edureka.co/blog/kubernetes-architecture/. [Accessed: 31- Oct- 2018].