A brief introduction on Kubernetes's main concepts. Kubernetes is a container orchestrator developed by Google in 2014 and donate for the CNCF in 2015.
This document compares virtual machines (VMs) to containers and discusses their differences. It notes that VMs have higher overhead than containers and can support more instances per server. Containers offer near-native performance and scale better. The document also outlines ongoing and future work to further integrate container technologies into the Linux kernel to provide capabilities like checkpoint/restore and live migration of containers across servers.
Todd Deshane presented results from benchmarking tests of Xen and KVM virtualization systems at the 2008 Xen Summit. Key findings included Xen having similar or better CPU performance than KVM, but KVM outperforming Xen on some disk and network tests. Tests of performance isolation showed Xen was generally more isolated, while KVM scaling failed as guest numbers increased beyond 4. Areas for further work were identified, such as expanding tests and automating processes.
WSO2Con EU 2016: Creating Microservices with WSO2 Microservices Framework fo...WSO2
Microservices architecture (MSA) is a trending topic and many organizations today are leaning towards it given its potential advantages. There are a number of frameworks available for microservices development. In this session, Sameera will introduce the Java framework for microservices development, WSO2 Microservices Framework for Java (WSO2 MSF4J). WSO2 MSF4J provides the necessary framework and tooling for building an MSA solution. He will introduce some core features of WSO2 MSF4J including the programming model, tooling & analytics.
Recently one of our customers faced the challenge of fixing a production error in his desktop client application. The application is deployed in different versions and may of course be deployed to different customers with a different set of features. Although this scenario seems quite common nowadays, a lot of software companies are not ready to tackle this problem.
One might find it ironic that some of the world's fastest supercomputers -- vast clusters capable of trillions of floating point operations per second -- can take upwards of a half an hour to reboot in between jobs. While we often talk about the density advantages of containers, it's the opposite approach that we use in the High Performance Computing world! Here, we use exactly 1 system container per node, giving it unlimited access to all of the host's CPU, Memory, Disk, IO, and Network. And yet we can still leverage the management characteristics of containers -- security, snapshots, live migration, and instant deployment to recycle each node in between jobs. In this talk, we'll examine a reference architecture and some best practices around containers in HPC environments.
GlusterFS can be used with Kubernetes in several ways:
1) As a volume driver to provide persistent storage and shared access to data across containers using existing GlusterFS volumes.
2) Through local volumes which use hostPath provisioning to leverage GlusterFS mounts but are not suitable for production.
3) With Heketi which provides dynamic provisioning of GlusterFS volumes through a REST API and integration with Kubernetes.
4) Potentially through Rook which aims to integrate storage services like Ceph and GlusterFS to provide turnkey storage and currently supports Ceph.
Kubernetes Webinar - Using ConfigMaps & Secrets Janakiram MSV
Many applications require configuration using some combination of configuration files, command line arguments, and environment variables. ConfigMaps in Kubernetes provide mechanisms to inject containers with configuration data while keeping them portable. Secrets decouple sensitive content from the pods using a volume plug-in. This webinar will discuss the use cases and scenarios for using ConfigMaps and Secrets.
A review about the scenarios with most expectations always from an OpenNebula’s
integration point of view. What can we expect nowadays of both technologies and
what should they improve in the future.
Talk held at the OpenNebula Techday Barcelona 2017:
https://opennebula.org/community/techdays/techday-barcelona-2017/
This document compares virtual machines (VMs) to containers and discusses their differences. It notes that VMs have higher overhead than containers and can support more instances per server. Containers offer near-native performance and scale better. The document also outlines ongoing and future work to further integrate container technologies into the Linux kernel to provide capabilities like checkpoint/restore and live migration of containers across servers.
Todd Deshane presented results from benchmarking tests of Xen and KVM virtualization systems at the 2008 Xen Summit. Key findings included Xen having similar or better CPU performance than KVM, but KVM outperforming Xen on some disk and network tests. Tests of performance isolation showed Xen was generally more isolated, while KVM scaling failed as guest numbers increased beyond 4. Areas for further work were identified, such as expanding tests and automating processes.
WSO2Con EU 2016: Creating Microservices with WSO2 Microservices Framework fo...WSO2
Microservices architecture (MSA) is a trending topic and many organizations today are leaning towards it given its potential advantages. There are a number of frameworks available for microservices development. In this session, Sameera will introduce the Java framework for microservices development, WSO2 Microservices Framework for Java (WSO2 MSF4J). WSO2 MSF4J provides the necessary framework and tooling for building an MSA solution. He will introduce some core features of WSO2 MSF4J including the programming model, tooling & analytics.
Recently one of our customers faced the challenge of fixing a production error in his desktop client application. The application is deployed in different versions and may of course be deployed to different customers with a different set of features. Although this scenario seems quite common nowadays, a lot of software companies are not ready to tackle this problem.
One might find it ironic that some of the world's fastest supercomputers -- vast clusters capable of trillions of floating point operations per second -- can take upwards of a half an hour to reboot in between jobs. While we often talk about the density advantages of containers, it's the opposite approach that we use in the High Performance Computing world! Here, we use exactly 1 system container per node, giving it unlimited access to all of the host's CPU, Memory, Disk, IO, and Network. And yet we can still leverage the management characteristics of containers -- security, snapshots, live migration, and instant deployment to recycle each node in between jobs. In this talk, we'll examine a reference architecture and some best practices around containers in HPC environments.
GlusterFS can be used with Kubernetes in several ways:
1) As a volume driver to provide persistent storage and shared access to data across containers using existing GlusterFS volumes.
2) Through local volumes which use hostPath provisioning to leverage GlusterFS mounts but are not suitable for production.
3) With Heketi which provides dynamic provisioning of GlusterFS volumes through a REST API and integration with Kubernetes.
4) Potentially through Rook which aims to integrate storage services like Ceph and GlusterFS to provide turnkey storage and currently supports Ceph.
Kubernetes Webinar - Using ConfigMaps & Secrets Janakiram MSV
Many applications require configuration using some combination of configuration files, command line arguments, and environment variables. ConfigMaps in Kubernetes provide mechanisms to inject containers with configuration data while keeping them portable. Secrets decouple sensitive content from the pods using a volume plug-in. This webinar will discuss the use cases and scenarios for using ConfigMaps and Secrets.
A review about the scenarios with most expectations always from an OpenNebula’s
integration point of view. What can we expect nowadays of both technologies and
what should they improve in the future.
Talk held at the OpenNebula Techday Barcelona 2017:
https://opennebula.org/community/techdays/techday-barcelona-2017/
Docker allows users to package and run applications in lightweight containers. Containers are hardware and platform agnostic, making applications portable across computing environments from laptops to large servers. Docker utilizes Linux containers (LXC) which provide isolated mini operating systems within a host operating system without the overhead of virtual machines. Containers are more lightweight and efficient than virtual machines, allowing for faster deployment and scaling of applications. Docker makes containers reusable and provides a consistent environment for development and production.
This document discusses different types of virtualization including hardware-level virtualization using tools like Oracle VirtualBox and KVM, operating system-level virtualization using containers like LXC and Docker, and provides a brief demo and questions. It outlines four main types: full virtualization, bare metal virtualization, OS containers, and application containers. For each it describes the software layers between the hardware and guest systems.
This webinar will walk you through the steps involved in migrating a multi-container application deployed in Docker Swarm to Kubernetes. It will map the concepts of Swarm to Kubernetes. Attend this webinar to learn how to apply your Docker skills to Kubernetes for running and managing containerized applications in production.
Brick multiplexing allows multiple storage bricks in GlusterFS to be managed by a single process, reducing resource usage. Performance testing showed no degradation with brick multiplexing enabled, and it allows faster scaling to support more persistent volumes. Memory usage is lower with brick multiplexing, allowing more volumes to be supported on the same hardware. Brick multiplexing improves scalability and is recommended to be left enabled.
This document summarizes a KubeVirt 101 workshop covering:
1. An introductory session and first set of labs on integrating virtual machines with Kubernetes.
2. A short break followed by a second set of labs on more advanced KubeVirt features.
3. An open discussion on common KubeVirt use cases, troubleshooting, and staying engaged with the community.
The workshop introduces KubeVirt as a Kubernetes addon for providing virtualization and explains how it uses CustomResourceDefinitions and controllers to integrate virtual machines and their lifecycles with Kubernetes. Hands-on labs demonstrate defining VMs, starting them, and using data volumes for importing disk images.
How Docker didn't invent containers (Docker Meetup Brno #1)Pavel Snajdr
This document discusses the history of container technologies beginning with FreeBSD Jails in 1998 and the origins of OpenVZ in 2001. It describes how various container features like namespaces and cgroups were developed over time by different projects and eventually merged into the Linux kernel. It notes that Docker popularized containers for application deployment but is only one of several tools for managing containers, and that OpenVZ remains the most full-featured and mature container platform overall. The document concludes that containers and Docker are not the same, and one should consider whether their actual needs are for containers generally or Docker specifically.
The OpenVZ/Virtuozzo developers from Odin (ex Parallels) have been working on Linux container technologies since 1999. What was originally a separate patchset is now mostly merged into the upstream Linux kernel, enabling the way for projects like LXC and Docker. In the mean time, the OpenVZ/Virtuozzo Linux kernel is still one step ahead of the vanilla kernel when it comes to containers. The talk will provide details about recent efforts towards Docker and Virtuozzo interoperability. This development is twofold. The first goal is to run Docker inside an OpenVZ container and the second goal is to use the proven OpenVZ kernel as a backend for Docker (via libcontainer).
In this talk, we will give you a first glimpse into what Cloud Native is and why there is such a buzz. This talk will focus on giving you an initial view of Cloud Native from the eyes of a developer where we talk about things like 12factors.
Kubernetes Webinar Series - Exploring Daemon Sets and JobsJanakiram MSV
Apart from running stateless and stateful workloads, Kubernetes can be used to run batch jobs and scheduled jobs. Daemon Sets ensure that each node of the cluster run a specific pod that may provide logging, monitoring, or storage capabilities to applications. This webinar will explore Daemon Sets and Cron Jobs in Kubernetes
This document provides an overview of storage best practices in oVirt, including oVirt storage domains, manual tiering across different storage types, volume types and allocation policies, and single disk snapshots. It discusses using different storage domains like NFS, iSCSI, Fibre Channel for manual tiering to choose the best storage. It also covers volume types, allocation policies of preallocated vs thin provisioning, and using QCOW2 format for snapshots. Finally, it describes how oVirt implements single disk snapshots using logical volume manager (LVM).
The document summarizes a Kubernetes meetup about networking for microservices. It discusses Contiv, an open source solution for container networking, storage policies, and cluster management. Contiv provides connectivity and policies for networking between containers. It also discusses collecting application telemetry data through the network, such as service interactions and security violations, to help optimize microservices. The meetup concludes with a demo of Contiv's capabilities using an on-demand taxi application as an example.
Join us to learn how to deploy your first containerized application on the most popular orchestration engine. You will understand the basic concepts of Kubernetes along with the terminology and the deployment architecture. We will show you everything from building a Docker image to going live with your application. Each attendee gets $300 credit to start using Google Container Engine!
Libcontainer: joining forces under one roofAndrey Vagin
Libcontainer is a project that aims to create a common library for container management across different technologies like Docker and LXC. It avoids external dependencies and supports multiple container types through a common API. The goal is to allow cooperation and code reuse across projects through a shared container management library. Libct is a companion C library that provides a frontend API for managing the entire container lifecycle.
The document summarizes a Docker meetup event being organized in Moscow on February 26, 2015. It provides details on why the meetup is being held, including for informal technical discussions on Docker and as an event partnered with Openstack.ru. An overview of Docker is given, explaining how it automates application deployment as lightweight portable containers that can run anywhere. Key Docker concepts like images, registries, and containers are also summarized.
This document provides an agenda for a Docker Academy PRO course. It introduces Docker and containerization basics, including what containers are, how they work, and the challenges they solve compared to traditional virtual machines. It discusses Docker specifically, how it helps build and deploy applications, and how the Docker ecosystem works with components like Containerd and runC. Overall it serves as an introduction and overview to Docker and containerization concepts.
Kubernetes dealing with storage and persistenceJanakiram MSV
Storage is a critical part of running containers, and Kubernetes offers some powerful primitives for managing it. This webinar discusses various strategies for adding persistence to the containerised workloads.
The document discusses the strengths, weaknesses, opportunities, and threats (SWOT) of Gluster, an open source distributed file system. Some of Gluster's key strengths include its ability to provide hybrid cloud storage, its growing community support and predictable release cycles, and its integration with ecosystems like Kubernetes and OpenStack. Weaknesses include difficulties with usability, management and monitoring at large scales, lack of automation for testing and operations, and discoverability issues with documentation. Opportunities lie in deeper container/autonomic computing integration and leveraging new hardware, while threats include competition from public cloud and proprietary storage vendors.
Unleashing k8 s to reduce complexities of an entire middleware platformLakmal Warusawithana
WSO2 uses Kubernetes to provide multi-tenancy for its middleware platform. Kubernetes namespaces isolate each tenant's resources, while quotas control how much CPU and memory each tenant can use. Kubernetes also provides health monitoring, rolling updates, secret sharing between pods, and autoscaling that help reduce the complexity of WSO2's platform. WSO2's identity server integrates with Kubernetes to provide access management for tenants and users.
This document provides an introduction to Docker and DevOps. It defines DevOps as combining software development and IT operations to shorten development cycles and deliver features quickly. Docker is described as using containers to decouple applications from operating systems, providing a lightweight virtualization alternative to VMs. Key Docker concepts are outlined like Dockerfiles, images, and registries. Guidelines are provided around keeping images small and being careful with databases in containers. Kubernetes is also mentioned as a popular container orchestration engine.
Kubernetes and CoreOS @ Athens Docker meetupMist.io
Using Kubernetes and CoreOS to increase scalability and availability. Presentation at the Athens Docker meetup http://www.meetup.com/Docker-Athens/events/226277352/
Kubernetes is an open-source system for managing containerized applications across multiple hosts. It provides mechanisms for deploying, maintaining, and scaling applications. Kubernetes uses declarative APIs and controllers to maintain the desired state of applications. The document then discusses key Kubernetes concepts like pods, containers, services, labels, replication controllers, and selectors. It explains how Kubernetes operations work through components like the API server, scheduler, controller manager, kubelet, and proxy.
Docker allows users to package and run applications in lightweight containers. Containers are hardware and platform agnostic, making applications portable across computing environments from laptops to large servers. Docker utilizes Linux containers (LXC) which provide isolated mini operating systems within a host operating system without the overhead of virtual machines. Containers are more lightweight and efficient than virtual machines, allowing for faster deployment and scaling of applications. Docker makes containers reusable and provides a consistent environment for development and production.
This document discusses different types of virtualization including hardware-level virtualization using tools like Oracle VirtualBox and KVM, operating system-level virtualization using containers like LXC and Docker, and provides a brief demo and questions. It outlines four main types: full virtualization, bare metal virtualization, OS containers, and application containers. For each it describes the software layers between the hardware and guest systems.
This webinar will walk you through the steps involved in migrating a multi-container application deployed in Docker Swarm to Kubernetes. It will map the concepts of Swarm to Kubernetes. Attend this webinar to learn how to apply your Docker skills to Kubernetes for running and managing containerized applications in production.
Brick multiplexing allows multiple storage bricks in GlusterFS to be managed by a single process, reducing resource usage. Performance testing showed no degradation with brick multiplexing enabled, and it allows faster scaling to support more persistent volumes. Memory usage is lower with brick multiplexing, allowing more volumes to be supported on the same hardware. Brick multiplexing improves scalability and is recommended to be left enabled.
This document summarizes a KubeVirt 101 workshop covering:
1. An introductory session and first set of labs on integrating virtual machines with Kubernetes.
2. A short break followed by a second set of labs on more advanced KubeVirt features.
3. An open discussion on common KubeVirt use cases, troubleshooting, and staying engaged with the community.
The workshop introduces KubeVirt as a Kubernetes addon for providing virtualization and explains how it uses CustomResourceDefinitions and controllers to integrate virtual machines and their lifecycles with Kubernetes. Hands-on labs demonstrate defining VMs, starting them, and using data volumes for importing disk images.
How Docker didn't invent containers (Docker Meetup Brno #1)Pavel Snajdr
This document discusses the history of container technologies beginning with FreeBSD Jails in 1998 and the origins of OpenVZ in 2001. It describes how various container features like namespaces and cgroups were developed over time by different projects and eventually merged into the Linux kernel. It notes that Docker popularized containers for application deployment but is only one of several tools for managing containers, and that OpenVZ remains the most full-featured and mature container platform overall. The document concludes that containers and Docker are not the same, and one should consider whether their actual needs are for containers generally or Docker specifically.
The OpenVZ/Virtuozzo developers from Odin (ex Parallels) have been working on Linux container technologies since 1999. What was originally a separate patchset is now mostly merged into the upstream Linux kernel, enabling the way for projects like LXC and Docker. In the mean time, the OpenVZ/Virtuozzo Linux kernel is still one step ahead of the vanilla kernel when it comes to containers. The talk will provide details about recent efforts towards Docker and Virtuozzo interoperability. This development is twofold. The first goal is to run Docker inside an OpenVZ container and the second goal is to use the proven OpenVZ kernel as a backend for Docker (via libcontainer).
In this talk, we will give you a first glimpse into what Cloud Native is and why there is such a buzz. This talk will focus on giving you an initial view of Cloud Native from the eyes of a developer where we talk about things like 12factors.
Kubernetes Webinar Series - Exploring Daemon Sets and JobsJanakiram MSV
Apart from running stateless and stateful workloads, Kubernetes can be used to run batch jobs and scheduled jobs. Daemon Sets ensure that each node of the cluster run a specific pod that may provide logging, monitoring, or storage capabilities to applications. This webinar will explore Daemon Sets and Cron Jobs in Kubernetes
This document provides an overview of storage best practices in oVirt, including oVirt storage domains, manual tiering across different storage types, volume types and allocation policies, and single disk snapshots. It discusses using different storage domains like NFS, iSCSI, Fibre Channel for manual tiering to choose the best storage. It also covers volume types, allocation policies of preallocated vs thin provisioning, and using QCOW2 format for snapshots. Finally, it describes how oVirt implements single disk snapshots using logical volume manager (LVM).
The document summarizes a Kubernetes meetup about networking for microservices. It discusses Contiv, an open source solution for container networking, storage policies, and cluster management. Contiv provides connectivity and policies for networking between containers. It also discusses collecting application telemetry data through the network, such as service interactions and security violations, to help optimize microservices. The meetup concludes with a demo of Contiv's capabilities using an on-demand taxi application as an example.
Join us to learn how to deploy your first containerized application on the most popular orchestration engine. You will understand the basic concepts of Kubernetes along with the terminology and the deployment architecture. We will show you everything from building a Docker image to going live with your application. Each attendee gets $300 credit to start using Google Container Engine!
Libcontainer: joining forces under one roofAndrey Vagin
Libcontainer is a project that aims to create a common library for container management across different technologies like Docker and LXC. It avoids external dependencies and supports multiple container types through a common API. The goal is to allow cooperation and code reuse across projects through a shared container management library. Libct is a companion C library that provides a frontend API for managing the entire container lifecycle.
The document summarizes a Docker meetup event being organized in Moscow on February 26, 2015. It provides details on why the meetup is being held, including for informal technical discussions on Docker and as an event partnered with Openstack.ru. An overview of Docker is given, explaining how it automates application deployment as lightweight portable containers that can run anywhere. Key Docker concepts like images, registries, and containers are also summarized.
This document provides an agenda for a Docker Academy PRO course. It introduces Docker and containerization basics, including what containers are, how they work, and the challenges they solve compared to traditional virtual machines. It discusses Docker specifically, how it helps build and deploy applications, and how the Docker ecosystem works with components like Containerd and runC. Overall it serves as an introduction and overview to Docker and containerization concepts.
Kubernetes dealing with storage and persistenceJanakiram MSV
Storage is a critical part of running containers, and Kubernetes offers some powerful primitives for managing it. This webinar discusses various strategies for adding persistence to the containerised workloads.
The document discusses the strengths, weaknesses, opportunities, and threats (SWOT) of Gluster, an open source distributed file system. Some of Gluster's key strengths include its ability to provide hybrid cloud storage, its growing community support and predictable release cycles, and its integration with ecosystems like Kubernetes and OpenStack. Weaknesses include difficulties with usability, management and monitoring at large scales, lack of automation for testing and operations, and discoverability issues with documentation. Opportunities lie in deeper container/autonomic computing integration and leveraging new hardware, while threats include competition from public cloud and proprietary storage vendors.
Unleashing k8 s to reduce complexities of an entire middleware platformLakmal Warusawithana
WSO2 uses Kubernetes to provide multi-tenancy for its middleware platform. Kubernetes namespaces isolate each tenant's resources, while quotas control how much CPU and memory each tenant can use. Kubernetes also provides health monitoring, rolling updates, secret sharing between pods, and autoscaling that help reduce the complexity of WSO2's platform. WSO2's identity server integrates with Kubernetes to provide access management for tenants and users.
This document provides an introduction to Docker and DevOps. It defines DevOps as combining software development and IT operations to shorten development cycles and deliver features quickly. Docker is described as using containers to decouple applications from operating systems, providing a lightweight virtualization alternative to VMs. Key Docker concepts are outlined like Dockerfiles, images, and registries. Guidelines are provided around keeping images small and being careful with databases in containers. Kubernetes is also mentioned as a popular container orchestration engine.
Kubernetes and CoreOS @ Athens Docker meetupMist.io
Using Kubernetes and CoreOS to increase scalability and availability. Presentation at the Athens Docker meetup http://www.meetup.com/Docker-Athens/events/226277352/
Kubernetes is an open-source system for managing containerized applications across multiple hosts. It provides mechanisms for deploying, maintaining, and scaling applications. Kubernetes uses declarative APIs and controllers to maintain the desired state of applications. The document then discusses key Kubernetes concepts like pods, containers, services, labels, replication controllers, and selectors. It explains how Kubernetes operations work through components like the API server, scheduler, controller manager, kubelet, and proxy.
In this session, we will discuss the architecture of a Kubernetes cluster. we will go through all the master and worker components of a kubernetes cluster. We will also discuss the basic terminology of Kubernetes cluster such as Pods, Deployments, Service etc. We will also cover networking inside Kuberneets. In the end, we will discuss options available for the setup of a Kubernetes cluster.
My own implementation of an introduction to our Eng org about what Kubernetes is and how it works. Included a hands-on demo that everyone can participate in! #sre-office-hours
Kubernetes - how to orchestrate containersinovex GmbH
http://www.meetup.com/Docker-Karlsruhe/events/220797663/
mehr Meetups von inovex:
http://www.meetup.com/inovex-karlsruhe
http://www.meetup.com/inovex-munich
http://www.meetup.com/inovex-cologne
As we move to our application units to containers most people are asking themselves the question about orchestrator choice. That is not the only choice that’s important, what about the underlying container runtime? In this talk, we will look at why you would use containerD with runC with both Swarm and Kubernetes, but other uses for ContainerD like container OS’s to ship immutable infrastructure.
Kubernetes (commonly referred to as "K8s") is an open-source system for automating deployment, scaling and management of containerized applications It aims to provide a "platform for automating deployment, scaling, and operations of application containers across clusters of hosts". We will see Kubernetes architecture, use cases, basics and live demo
This document provides an overview of Kubernetes 101. It begins with asking why Kubernetes is needed and provides a brief history of the project. It describes containers and container orchestration tools. It then covers the main components of Kubernetes architecture including pods, replica sets, deployments, services, and ingress. It provides examples of common Kubernetes manifest files and discusses basic Kubernetes primitives. It concludes with discussing DevOps practices after adopting Kubernetes and potential next steps to learn more advanced Kubernetes topics.
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.
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.
Containers are changing development and deployment using technologies like Docker and Kubernetes. Containers leverage cgroups and namespaces in Linux kernels to isolate processes and share resources without full virtual machines. Docker popularized containers by making them easy to build, run and share. Kubernetes is the most popular container orchestrator, allowing containers to run together across clusters with services for load balancing, scaling and failover. Developers can now develop in containers for consistent environments, while operations teams can deploy containerized applications with automation and roll back updates if needed.
Microservices , Docker , CI/CD , Kubernetes Seminar - Sri Lanka Mario Ishara Fernando
This document discusses microservices and containers. It provides an overview of microservices architecture compared to monolithic architecture, highlighting that microservices are composed of many small, independent services with separate deployments and databases. It then discusses containers and how Docker is used to package and run applications in isolated containers. Finally, it introduces Kubernetes as a container orchestration system to manage and scale multiple containerized applications across a cluster of machines.
Scalable Spark deployment using Kubernetesdatamantra
The document discusses deploying Spark clusters on Kubernetes. It introduces Kubernetes as a container orchestration platform for deploying containerized applications at scale across cloud and on-prem environments. It describes building a custom Spark 2.1 Docker image and using it to deploy a Spark cluster on Kubernetes with master and worker pods, exposing the Spark UI through a service.
Kubernetes 101 provides an overview of containers, Kubernetes architecture, and Kubernetes objects. It discusses how containers evolved from virtualization to improve efficiency. Kubernetes is introduced as a container orchestration tool to manage deployments, scaling, networking, security etc. of containers across clusters. Key Kubernetes components like the control plane, nodes, and objects like pods, deployments, services, storage and secrets are explained at a high level.
Free GitOps Workshop (with Intro to Kubernetes & GitOps)Weaveworks
View this video on Youtube here: https://youtu.be/tK4S8y3j5TA
In this info-packed and hands-on workshop we covered:
Introduction to Kubernetes & GitOps talk:
We covered the most popular path that has brought success to many users already - GitOps as a natural evolution of Kubernetes. We'll give an overview of how you can benefit from Kubernetes and GitOps: greater security, reliability, velocity and more. Importantly, we cover definitions and principles standardized by the CNCF's OpenGitOps group and what it means for you.
Get Started with GitOps:
You'll have GitOps up and running in about 30 mins using our free and open source tools! We'll give a brief vision of where you want to be with those security, reliability, and velocity benefits, and then we'll support you while go through the getting started steps. During the workshop, you'll also experience in action and see demos for:
- an opinionated repo structure to minimize decision fatigue
- disaster recovery using GitOps
- Helm charts example
- Multi-cluster example
- all with free and open source tools mostly in the CNCF (eg. Flux and Helm).
If you have questions before or after the workshop, talk to us at #weave-gitops http://bit.ly/WeaveGitOpsSlack (If you need to invite yourself to the Slack, visit https://slack.weave.works/)
Soft Introduction to Google's framework for taming containers in the cloud. For devs and architects that they just enter the world of cloud, microservices and containers
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.
Kubernetes for Beginners: An Introductory GuideBytemark
Kubernetes is an open-source tool for managing containerized workloads and services. It allows for deploying, maintaining, and scaling applications across clusters of servers. Kubernetes operates at the container level to automate tasks like deployment, availability, and load balancing. It uses a master-slave architecture with a master node controlling multiple worker nodes that host application pods, which are groups of containers that share resources. Kubernetes provides benefits like self-healing, high availability, simplified maintenance, and automatic scaling of containerized applications.
This document provides an overview of Kubernetes concepts including:
- Kubernetes architecture with masters running control plane components like the API server, scheduler, and controller manager, and nodes running pods and node agents.
- Key Kubernetes objects like pods, services, deployments, statefulsets, jobs and cronjobs that define and manage workloads.
- Networking concepts like services for service discovery, and ingress for external access.
- Storage with volumes, persistentvolumes, persistentvolumeclaims and storageclasses.
- Configuration with configmaps and secrets.
- Authentication and authorization using roles, rolebindings and serviceaccounts.
It also discusses Kubernetes installation with minikube, and common networking and deployment
How GenAI Can Improve Supplier Performance Management.pdfZycus
Data Collection and Analysis with GenAI enables organizations to gather, analyze, and visualize vast amounts of supplier data, identifying key performance indicators and trends. Predictive analytics forecast future supplier performance, mitigating risks and seizing opportunities. Supplier segmentation allows for tailored management strategies, optimizing resource allocation. Automated scorecards and reporting provide real-time insights, enhancing transparency and tracking progress. Collaboration is fostered through GenAI-powered platforms, driving continuous improvement. NLP analyzes unstructured feedback, uncovering deeper insights into supplier relationships. Simulation and scenario planning tools anticipate supply chain disruptions, supporting informed decision-making. Integration with existing systems enhances data accuracy and consistency. McKinsey estimates GenAI could deliver $2.6 trillion to $4.4 trillion in economic benefits annually across industries, revolutionizing procurement processes and delivering significant ROI.
🏎️Tech Transformation: DevOps Insights from the Experts 👩💻campbellclarkson
Connect with fellow Trailblazers, learn from industry experts Glenda Thomson (Salesforce, Principal Technical Architect) and Will Dinn (Judo Bank, Salesforce Development Lead), and discover how to harness DevOps tools with Salesforce.
Flutter vs. React Native: A Detailed Comparison for App Development in 2024dhavalvaghelanectarb
Choosing the right framework for your cross-platform mobile app can be a tough decision. Both Flutter and React Native offer compelling features and have earned their place in the development world. Here is a detailed comparison to help you weigh their strengths and weaknesses. Here are the pros and cons of developing mobile apps in React Native vs Flutter.
Orca: Nocode Graphical Editor for Container OrchestrationPedro J. Molina
Tool demo on CEDI/SISTEDES/JISBD2024 at A Coruña, Spain. 2024.06.18
"Orca: Nocode Graphical Editor for Container Orchestration"
by Pedro J. Molina PhD. from Metadev
Software Test Automation - A Comprehensive Guide on Automated Testing.pdfkalichargn70th171
Moving to a more digitally focused era, the importance of software is rapidly increasing. Software tools are crucial for upgrading life standards, enhancing business prospects, and making a smart world. The smooth and fail-proof functioning of the software is very critical, as a large number of people are dependent on them.
Consistent toolbox talks are critical for maintaining workplace safety, as they provide regular opportunities to address specific hazards and reinforce safe practices.
These brief, focused sessions ensure that safety is a continual conversation rather than a one-time event, which helps keep safety protocols fresh in employees' minds. Studies have shown that shorter, more frequent training sessions are more effective for retention and behavior change compared to longer, infrequent sessions.
Engaging workers regularly, toolbox talks promote a culture of safety, empower employees to voice concerns, and ultimately reduce the likelihood of accidents and injuries on site.
The traditional method of conducting safety talks with paper documents and lengthy meetings is not only time-consuming but also less effective. Manual tracking of attendance and compliance is prone to errors and inconsistencies, leading to gaps in safety communication and potential non-compliance with OSHA regulations. Switching to a digital solution like Safelyio offers significant advantages.
Safelyio automates the delivery and documentation of safety talks, ensuring consistency and accessibility. The microlearning approach breaks down complex safety protocols into manageable, bite-sized pieces, making it easier for employees to absorb and retain information.
This method minimizes disruptions to work schedules, eliminates the hassle of paperwork, and ensures that all safety communications are tracked and recorded accurately. Ultimately, using a digital platform like Safelyio enhances engagement, compliance, and overall safety performance on site. https://safelyio.com/
14 th Edition of International conference on computer visionShulagnaSarkar2
About the event
14th Edition of International conference on computer vision
Computer conferences organized by ScienceFather group. ScienceFather takes the privilege to invite speakers participants students delegates and exhibitors from across the globe to its International Conference on computer conferences to be held in the Various Beautiful cites of the world. computer conferences are a discussion of common Inventions-related issues and additionally trade information share proof thoughts and insight into advanced developments in the science inventions service system. New technology may create many materials and devices with a vast range of applications such as in Science medicine electronics biomaterials energy production and consumer products.
Nomination are Open!! Don't Miss it
Visit: computer.scifat.com
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For Enquiry: Computer@scifat.com
Photoshop Tutorial for Beginners (2024 Edition)alowpalsadig
Photoshop Tutorial for Beginners (2024 Edition)
Explore the evolution of programming and software development and design in 2024. Discover emerging trends shaping the future of coding in our insightful analysis."
Here's an overview:Introduction: The Evolution of Programming and Software DevelopmentThe Rise of Artificial Intelligence and Machine Learning in CodingAdopting Low-Code and No-Code PlatformsQuantum Computing: Entering the Software Development MainstreamIntegration of DevOps with Machine Learning: MLOpsAdvancements in Cybersecurity PracticesThe Growth of Edge ComputingEmerging Programming Languages and FrameworksSoftware Development Ethics and AI RegulationSustainability in Software EngineeringThe Future Workforce: Remote and Distributed TeamsConclusion: Adapting to the Changing Software Development LandscapeIntroduction: The Evolution of Programming and Software Development
Photoshop Tutorial for Beginners (2024 Edition)Explore the evolution of programming and software development and design in 2024. Discover emerging trends shaping the future of coding in our insightful analysis."Here's an overview:Introduction: The Evolution of Programming and Software DevelopmentThe Rise of Artificial Intelligence and Machine Learning in CodingAdopting Low-Code and No-Code PlatformsQuantum Computing: Entering the Software Development MainstreamIntegration of DevOps with Machine Learning: MLOpsAdvancements in Cybersecurity PracticesThe Growth of Edge ComputingEmerging Programming Languages and FrameworksSoftware Development Ethics and AI RegulationSustainability in Software EngineeringThe Future Workforce: Remote and Distributed TeamsConclusion: Adapting to the Changing Software Development LandscapeIntroduction: The Evolution of Programming and Software Development
The importance of developing and designing programming in 2024
Programming design and development represents a vital step in keeping pace with technological advancements and meeting ever-changing market needs. This course is intended for anyone who wants to understand the fundamental importance of software development and design, whether you are a beginner or a professional seeking to update your knowledge.
Course objectives:
1. **Learn about the basics of software development:
- Understanding software development processes and tools.
- Identify the role of programmers and designers in software projects.
2. Understanding the software design process:
- Learn about the principles of good software design.
- Discussing common design patterns such as Object-Oriented Design.
3. The importance of user experience (UX) in modern software:
- Explore how user experience can improve software acceptance and usability.
- Tools and techniques to analyze and improve user experience.
4. Increase efficiency and productivity through modern development tools:
- Access to the latest programming tools and languages used in the industry.
- Study live examples of applications
What to do when you have a perfect model for your software but you are constrained by an imperfect business model?
This talk explores the challenges of bringing modelling rigour to the business and strategy levels, and talking to your non-technical counterparts in the process.
Alluxio Webinar | 10x Faster Trino Queries on Your Data PlatformAlluxio, Inc.
Alluxio Webinar
June. 18, 2024
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Jianjian Xie (Staff Software Engineer, Alluxio)
As Trino users increasingly rely on cloud object storage for retrieving data, speed and cloud cost have become major challenges. The separation of compute and storage creates latency challenges when querying datasets; scanning data between storage and compute tiers becomes I/O bound. On the other hand, cloud API costs related to GET/LIST operations and cross-region data transfer add up quickly.
The newly introduced Trino file system cache by Alluxio aims to overcome the above challenges. In this session, Jianjian will dive into Trino data caching strategies, the latest test results, and discuss the multi-level caching architecture. This architecture makes Trino 10x faster for data lakes of any scale, from GB to EB.
What you will learn:
- Challenges relating to the speed and costs of running Trino in the cloud
- The new Trino file system cache feature overview, including the latest development status and test results
- A multi-level cache framework for maximized speed, including Trino file system cache and Alluxio distributed cache
- Real-world cases, including a large online payment firm and a top ridesharing company
- The future roadmap of Trino file system cache and Trino-Alluxio integration
The Comprehensive Guide to Validating Audio-Visual Performances.pdfkalichargn70th171
Ensuring the optimal performance of your audio-visual (AV) equipment is crucial for delivering exceptional experiences. AV performance validation is a critical process that verifies the quality and functionality of your AV setup. Whether you're a content creator, a business conducting webinars, or a homeowner creating a home theater, validating your AV performance is essential.
Boost Your Savings with These Money Management AppsJhone kinadey
A money management app can transform your financial life by tracking expenses, creating budgets, and setting financial goals. These apps offer features like real-time expense tracking, bill reminders, and personalized insights to help you save and manage money effectively. With a user-friendly interface, they simplify financial planning, making it easier to stay on top of your finances and achieve long-term financial stability.
WMF 2024 - Unlocking the Future of Data Powering Next-Gen AI with Vector Data...Luigi Fugaro
Vector databases are transforming how we handle data, allowing us to search through text, images, and audio by converting them into vectors. Today, we'll dive into the basics of this exciting technology and discuss its potential to revolutionize our next-generation AI applications. We'll examine typical uses for these databases and the essential tools
developers need. Plus, we'll zoom in on the advanced capabilities of vector search and semantic caching in Java, showcasing these through a live demo with Redis libraries. Get ready to see how these powerful tools can change the game!
2. About the author
● Vinícius Frantz Kroth
● Microservices and DevOps Enthusiast
● Backend Developer
● Medium :
https://medium.com/@vinicius.kroth
● Github : https://github.com/ViniFKroth
3. Presentation Summary
● Why to use kubernetes? (Main motivations and benefits)
● How does it works? (Architecture and main concepts)
● Real life use scenarios
4. Taking a step back, what are containers?
In a nutshell, containers are a Lightweight, Reliable and Quick
packaging for a software and all his dependencies. Moving easily
from one computer system to another.
5. Taking a step back, why even use containers?
● Immutable infrastructure.
● Easy Reproducibility.
● Isolation, all configurations and installations of a container are
bounded to his own limits, not affecting the host.
● Good option for multi-cloud approaches.
● Baking, and deployment processes and way faster than regular
VM's.
6. Summing up, containers are simple, efficient and
easy to scale. But what happens when your
containers start to pile up?
That's when Kubernetes comes in to play!
7. What K8S brings to the table
● Declarative configurations via YML files
● Load Balancing
● Autoscaling
● Health checking
● Service Discovery
And the list goes on ...
9. Kubernetes master
● Composed by 3 processes (kube-apiserver, kube-
controller-manager and kube-scheduler)
● Maintains the desired state for the K8S cluster.
● Replicable for HA purposes.
● May use ETCD, a K/V storage, containing all the cluster's
data.
● Serve as a "gateway" for the communication between the
cluster and the outside world.
10. Pods
● Smallest deployable units.
● Contains 1-N containers inside.
● All containers inside a pod, will
be bound its ip address and port.
11. Services
● An abstraction of the application running inside the pod.
● Defines the access rules for the pod.
● Assist on the pods communication.
● Service types: Load balancing, Discover services, Publishing
Services...
12. Volumes
● An abstraction for the persistent storage of containers
information.
● Can be used to share information and files between the
containers.
● Provides the data for the container's eventual re-creation.
13. Replica Sets
● Maintains a steady set of replica Pods running.
● Creates/deletes pods to match a defined criteria.
● It's most usually managed in a upper-level by a
Deployment.
15. Worker nodes
● AKA minions.
● The grouping of one or several pods, services, replica sets,
etc...
● Physical machine, or VM, depending on the cluster.
● Runs a container runtime (Docker, cri-o…)
● Always contains both kubelet and kuby-proxy.
16. Kubelet
● Agents that runs in every
worker node.
● Makes sure that
containers are running
healthy inside a pod.
● Controls the lifecycle of a
container (from birth to
death)
● Network proxy running
inside every node
● Supports TCP/UDP for
forwarding messages.
Kube-proxy
17. Some real life use cases
● Reddit: 7 K8S's clusters, 30% of engineers working on K8S's, over 20
deploys a day.
● Tinder: Almost 50,000 running containers, 1,000 nodes, and 15,000
pods.
● AirBnb: Over 250 services deployed on a cluster, with over 1000
engineers working on it.
● Ebay, IBM, Pokemon Go, Spotify...
18. Recommended readings
● Official Documentation:
https://kubernetes.io/docs/
● Big picture explanation: https://itnext.io/murder-on-the-kubernetes-express-
the-life-and-death-of-a-docker-container-d7aec13f8188
● Use cases: https://dzone.com/articles/how-big-companies-are-using-
kubernetes
● Kubernetes 101: https://medium.com/@diego_pacheco/kubernetes-101-
bd07bc95f3e6
● Case studies: https://kubernetes.io/case-
studies/