Setup Hybrid Clusters Using Kubernetes Federationinwin stack
This document summarizes how to setup hybrid clusters using Kubernetes Federation. It discusses the benefits of federation such as keeping applications synced across multiple clusters and configuring network resources to route traffic. It then describes the federation architecture including the federation control plane and federated resources/clusters. Finally, it provides steps to setup a demo federation including initializing the control plane and joining clusters from different regions.
This document discusses the evolution of web backend technologies. It covers the history and concepts of infrastructure as code, immutable infrastructure, blue-green deployments, and canary deployments. It also discusses tools for physical delivery, virtual machines, configuration management, continuous integration/delivery, Docker, and Kubernetes. Kubernetes makes it easy to implement infrastructure as code practices and deployment strategies like blue-green and canary deployments through features like deployments and services.
Taking Cloud to Extremes: Scaled-down, Highly Available, and Mission-critical...Altoros
We consider uses cases typical for some advanced applications of Cloud architectures incorporating Cloud Foundry PaaS. High-Availability, Fault-Tolerance, scaling down to smaller form-factors while operating in mission-critical environments - all these requirements put constraints on architecture, configuration, and testing. Cloud Foundry's operation depends on the number of external and internal dependencies. Points of failure may exist on different levels stretching from hardware / IaaS foundation to microservices.
Create Microservice with Spring Boot and DockerSivaprakash
Spring Boot makes it easy to create standalone and production-ready Spring applications with minimal configuration. It aims to provide a faster development experience and common features like embedded servers and health checks. Spring Boot 2.0.1 requires Java 8/9 and works with embedded containers like Tomcat, Jetty and Undertow. Docker is a containerization platform that virtualizes applications and their dependencies to run on any OS without conflicts. It was developed by Docker Inc. and written in Go, with community and enterprise editions available.
This document provides an agenda for a presentation that includes topics on .NET Core applications, containerization with Docker, running and scaling apps on Kubernetes, deployments using Helm, canary releases with service mesh (Istio), and demos of these technologies. It discusses .NET Core 2.1 features, containers, Docker, Kubernetes architecture and deployment, using Helm for deployments, Istio architecture and canary releases, and includes demos of setting up and using these technologies.
A look at kubeless a serverless framework on top of kubernetes. We take a look at what serverless is and why it matters then introduce kubeless which leverages Kubernetes API resources to provide a Function as a Services solution.
In this webinar, Alex Casalboni will overview the main FaaS concepts and best practices (Function as a Service), explore the open-source FaaS options and discuss pros and cons of deploying and managing your own serverless platform on Kubernetes.
Setup Hybrid Clusters Using Kubernetes Federationinwin stack
This document summarizes how to setup hybrid clusters using Kubernetes Federation. It discusses the benefits of federation such as keeping applications synced across multiple clusters and configuring network resources to route traffic. It then describes the federation architecture including the federation control plane and federated resources/clusters. Finally, it provides steps to setup a demo federation including initializing the control plane and joining clusters from different regions.
This document discusses the evolution of web backend technologies. It covers the history and concepts of infrastructure as code, immutable infrastructure, blue-green deployments, and canary deployments. It also discusses tools for physical delivery, virtual machines, configuration management, continuous integration/delivery, Docker, and Kubernetes. Kubernetes makes it easy to implement infrastructure as code practices and deployment strategies like blue-green and canary deployments through features like deployments and services.
Taking Cloud to Extremes: Scaled-down, Highly Available, and Mission-critical...Altoros
We consider uses cases typical for some advanced applications of Cloud architectures incorporating Cloud Foundry PaaS. High-Availability, Fault-Tolerance, scaling down to smaller form-factors while operating in mission-critical environments - all these requirements put constraints on architecture, configuration, and testing. Cloud Foundry's operation depends on the number of external and internal dependencies. Points of failure may exist on different levels stretching from hardware / IaaS foundation to microservices.
Create Microservice with Spring Boot and DockerSivaprakash
Spring Boot makes it easy to create standalone and production-ready Spring applications with minimal configuration. It aims to provide a faster development experience and common features like embedded servers and health checks. Spring Boot 2.0.1 requires Java 8/9 and works with embedded containers like Tomcat, Jetty and Undertow. Docker is a containerization platform that virtualizes applications and their dependencies to run on any OS without conflicts. It was developed by Docker Inc. and written in Go, with community and enterprise editions available.
This document provides an agenda for a presentation that includes topics on .NET Core applications, containerization with Docker, running and scaling apps on Kubernetes, deployments using Helm, canary releases with service mesh (Istio), and demos of these technologies. It discusses .NET Core 2.1 features, containers, Docker, Kubernetes architecture and deployment, using Helm for deployments, Istio architecture and canary releases, and includes demos of setting up and using these technologies.
A look at kubeless a serverless framework on top of kubernetes. We take a look at what serverless is and why it matters then introduce kubeless which leverages Kubernetes API resources to provide a Function as a Services solution.
In this webinar, Alex Casalboni will overview the main FaaS concepts and best practices (Function as a Service), explore the open-source FaaS options and discuss pros and cons of deploying and managing your own serverless platform on Kubernetes.
This document discusses Contentful Engineering's migration from using AWS alone to using Kubernetes on AWS. Some key points:
1) Contentful migrated to take advantage of Kubernetes' focus on application delivery and open source development model over their previous Chef-based deployment platform.
2) They use Kops to manage Kubernetes clusters on AWS, deploying clusters in the same VPC and using kubenet networking and kube2iam to integrate with AWS services.
3) The migration process involved moving services to Kubernetes deployments and exposing them via LoadBalancer services, and updating service discovery in Route53.
4) Lessons learned include staying up to date with Kubernetes and Kops releases, customizing Kops outputs
This document discusses using Kubernetes on AWS and provides tips across three main topics: designing clusters, installation, and operations. For design, it recommends automating as much as possible, properly sizing clusters based on network and server capacities, and using permissions and tags to control access. For installation, it discusses using multiple AWS accounts for access control and tools like Kops to deploy and manage clusters. For operations, it discusses using AWS services for databases and logging instead of running them on Kubernetes, and considerations for custom registries and secrets. The overall message is how to leverage AWS services while deploying and managing Kubernetes clusters at scale.
This document discusses Kubernetes operations (Kops), a tool for provisioning and managing Kubernetes clusters on AWS. Kops allows users to create, destroy, upgrade and maintain production-grade Kubernetes clusters from the command line. It automates the provisioning of Kubernetes clusters on AWS, deploying highly available Kubernetes masters and supporting upgrading and customizing clusters. The document demonstrates how to use Kops to build single and multi-master Kubernetes clusters on AWS with different configuration options.
This document discusses zero-configuration provisioning of Kubernetes clusters on unmanaged infrastructure. It describes using immutable bootstrapping to provision operating systems and install Docker and Kubernetes (using Kubeadm) across nodes without requiring centralized orchestration or SSH access. The document also discusses potential future directions for the Kubernetes community regarding node admission controls and dynamic Kubelet configuration to further reduce external configuration requirements during cluster provisioning.
The document discusses building a Raspberry Pi Kubernetes cluster to run OpenFaas serverless functions. Some key points are:
1. A Raspberry Pi cluster can provide cloud-like capabilities at home by pooling hardware resources and allowing elastic scaling.
2. Kubernetes provides declarative deployments, configuration, service discovery, high availability, and elastic capacity for containers.
3. OpenFaas is a serverless framework that uses Docker containers and Kubernetes to build and run functions as a service.
The document discusses configuration management and how Chef can be used to manage numerous environments, services, and servers across platforms by defining roles, environments, and cookbooks; it also discusses how Chef can be integrated with Jenkins for continuous integration and used to automatically scale application servers in AWS through tools that bridge CloudFormation and Chef.
1) The document provides an overview of OpenStack, an open source cloud computing platform, describing its main components for compute (Nova), object storage (Swift), and history.
2) It discusses different methods for deploying and testing OpenStack, including using Vagrant and the nova.sh script, and considerations for physical deployment like hardware selection and network configuration.
3) The document concludes with information on monitoring, upcoming features, and thanks/questions.
This document discusses the benefits of implementing infrastructure, pipelines, images, servers, orchestration, and chat operations as code. Key benefits include being reproducible, saving time, avoiding human error, and not becoming outdated. It outlines tools like Terraform, Jenkins, Packer, Kubernetes, Docker, configuration management, and Hubot. Code samples and demos are provided to define infrastructure with Terraform, transform jobs into pipelines with Jenkins, build images with Packer, define containers in Kubernetes, build servers with Docker, and interact with services through Hubot chat. A link is provided to access additional sample code.
Sydney based cloud consultancy Cloudten's Richard Tomkinson shows how masterless Puppet can be used in concert with AWS's services including Lambda to automate server builds and manage code deployments
Automating aws infrastructure and code deployments using Ansible @WebEngageVishal Uderani
In this talk , we’ll cover how and why Ansible was leveraged to automate routine management of EC2 instances/EBS/EIP/ELB etc and why the Ansible approach towards automation is key for code and system deployments across 100’s of nodes and how we achieved this at Webengage. We will provide an overview of the deployment process and give a demonstration as an example
Outlines :
How ansible is a straightforward , easy way to manage multiple cloud resources
Intended Audience :
Previous experience with configuration management systems
Previous experience with AWS and Ansible
This document provides an overview of a workshop on running Kubernetes on AWS. It outlines the prerequisites including installing Git, AWS CLI, kubectl, and cloning a GitHub repository. The workshop will cover basic Kubernetes concepts like pods, labels, replication controllers, deployments and services. It will demonstrate how to build a Kubernetes cluster on AWS using CloudFormation for infrastructure as code. Hands-on portions will include deploying containers, creating services, and observing the cluster architecture and networking. Additional topics are cluster add-ons like Kubernetes Dashboard and DNS, deploying applications, and cleaning up resources.
1. CNCF kubernetes meetup - Ondrej SikaJuraj Hantak
Kubernetes is a production-grade container orchestration system that abstracts away the underlying hardware infrastructure. It deploys and manages containerized applications and services through declarative configurations that define the desired state. Kubernetes can run on various cloud and on-premise infrastructure and is not tied to any specific vendor. It is useful for organizations that need high availability, manage many applications on servers, and want to easily deploy Dockerized workloads without worrying about infrastructure management. Core concepts in Kubernetes include Pods, Deployments, Services, Namespaces, and various cluster components like the API server, scheduler, and kubelet that ensure the actual cluster state matches the desired configurations.
Orchestrating VM & Container DeploymentsLars Wander
Spinnaker is an open-source, multi-cloud Continuous Delivery platform developed by Netflix, Google, Microsoft, and others. This talk goes into detail about how Spinnaker handles VM and Docker deployments across Google Compute Engine (GCE) and Kubernetes, and what advantages it provides on these platforms.
Stateful set in kubernetes implementation & usecases Krishna-Kumar
This document summarizes a presentation on StatefulSets in Kubernetes. It discusses why StatefulSets are useful for running stateful applications in containers, the differences between stateful and stateless applications, how volumes are used in StatefulSets, examples of running single-instance and multi-instance stateful applications like Zookeeper, and the current status and future roadmap of StatefulSets in Kubernetes.
Docker for Ops: Docker Storage and Volumes Deep Dive and Considerations by Br...Docker, Inc.
This document discusses storage options for Docker containers and images. It introduces different storage drivers that can be used, such as AUFS, BTRFS, DeviceMapper, Overlay, and Overlay2. It also discusses using persistent storage for containers through creating named Docker volumes stored on NFS, BTRFS, or Gluster file systems. This allows stateful applications to have their data persisted even if containers are removed.
Managing Stateful Services with the Operator Pattern in Kubernetes - Kubernet...Jakob Karalus
While it's easy to deploy stateless application with Kubernetes, it's harder for stateful software. Since applications often require custom functionality that Kubernetes can't provide, developers want to add more specialized patterns like automatic backups, failover or rebalancing to their Kubernetes deployments. In this talk, we will look at the Operator Pattern and other possibilities to extend the functionality of Kubernetes and how to use them to operate stateful applications.
Stas Ivaschenko (Senior Operations Analyst/DevOps engineer at Provectus, Inc)
Senior DevOps engineer, more than 10 years in IT.
AWS, Chef, Ansible, Kubernetes, Docker, Hadoop.
Best customers: Symantec, CloudMade
Kubernetes is up and running, what's next? We will talk about recent experience with Kubernetes-centric Serverless technologies. Concepts, overview of 2 frameworks: funktion from RedHat's Fabric8 and Kubeless. How they stand against AWS Lambda and how they rely on Kubernetes internals to do what they are doing.
Docker and Cloud - Enables for DevOps - by ACA-ITStijn Wijndaele
DevOps is gericht op het tot stand brengen van een cultuur binnen organisaties waardoor het ontwikkelen, valideren en releasen van software sneller, meer betrouwbaar en frequenter kan verlopen. Om dit te realiseren staan het automatiseren van het 'software delivery process' en de bijhorende infrastructurele veranderingen centraal. Door de opkomst van 'Microservice Architecture' neemt het belang hiervan nog verder toe.
This document discusses Contentful Engineering's migration from using AWS alone to using Kubernetes on AWS. Some key points:
1) Contentful migrated to take advantage of Kubernetes' focus on application delivery and open source development model over their previous Chef-based deployment platform.
2) They use Kops to manage Kubernetes clusters on AWS, deploying clusters in the same VPC and using kubenet networking and kube2iam to integrate with AWS services.
3) The migration process involved moving services to Kubernetes deployments and exposing them via LoadBalancer services, and updating service discovery in Route53.
4) Lessons learned include staying up to date with Kubernetes and Kops releases, customizing Kops outputs
This document discusses using Kubernetes on AWS and provides tips across three main topics: designing clusters, installation, and operations. For design, it recommends automating as much as possible, properly sizing clusters based on network and server capacities, and using permissions and tags to control access. For installation, it discusses using multiple AWS accounts for access control and tools like Kops to deploy and manage clusters. For operations, it discusses using AWS services for databases and logging instead of running them on Kubernetes, and considerations for custom registries and secrets. The overall message is how to leverage AWS services while deploying and managing Kubernetes clusters at scale.
This document discusses Kubernetes operations (Kops), a tool for provisioning and managing Kubernetes clusters on AWS. Kops allows users to create, destroy, upgrade and maintain production-grade Kubernetes clusters from the command line. It automates the provisioning of Kubernetes clusters on AWS, deploying highly available Kubernetes masters and supporting upgrading and customizing clusters. The document demonstrates how to use Kops to build single and multi-master Kubernetes clusters on AWS with different configuration options.
This document discusses zero-configuration provisioning of Kubernetes clusters on unmanaged infrastructure. It describes using immutable bootstrapping to provision operating systems and install Docker and Kubernetes (using Kubeadm) across nodes without requiring centralized orchestration or SSH access. The document also discusses potential future directions for the Kubernetes community regarding node admission controls and dynamic Kubelet configuration to further reduce external configuration requirements during cluster provisioning.
The document discusses building a Raspberry Pi Kubernetes cluster to run OpenFaas serverless functions. Some key points are:
1. A Raspberry Pi cluster can provide cloud-like capabilities at home by pooling hardware resources and allowing elastic scaling.
2. Kubernetes provides declarative deployments, configuration, service discovery, high availability, and elastic capacity for containers.
3. OpenFaas is a serverless framework that uses Docker containers and Kubernetes to build and run functions as a service.
The document discusses configuration management and how Chef can be used to manage numerous environments, services, and servers across platforms by defining roles, environments, and cookbooks; it also discusses how Chef can be integrated with Jenkins for continuous integration and used to automatically scale application servers in AWS through tools that bridge CloudFormation and Chef.
1) The document provides an overview of OpenStack, an open source cloud computing platform, describing its main components for compute (Nova), object storage (Swift), and history.
2) It discusses different methods for deploying and testing OpenStack, including using Vagrant and the nova.sh script, and considerations for physical deployment like hardware selection and network configuration.
3) The document concludes with information on monitoring, upcoming features, and thanks/questions.
This document discusses the benefits of implementing infrastructure, pipelines, images, servers, orchestration, and chat operations as code. Key benefits include being reproducible, saving time, avoiding human error, and not becoming outdated. It outlines tools like Terraform, Jenkins, Packer, Kubernetes, Docker, configuration management, and Hubot. Code samples and demos are provided to define infrastructure with Terraform, transform jobs into pipelines with Jenkins, build images with Packer, define containers in Kubernetes, build servers with Docker, and interact with services through Hubot chat. A link is provided to access additional sample code.
Sydney based cloud consultancy Cloudten's Richard Tomkinson shows how masterless Puppet can be used in concert with AWS's services including Lambda to automate server builds and manage code deployments
Automating aws infrastructure and code deployments using Ansible @WebEngageVishal Uderani
In this talk , we’ll cover how and why Ansible was leveraged to automate routine management of EC2 instances/EBS/EIP/ELB etc and why the Ansible approach towards automation is key for code and system deployments across 100’s of nodes and how we achieved this at Webengage. We will provide an overview of the deployment process and give a demonstration as an example
Outlines :
How ansible is a straightforward , easy way to manage multiple cloud resources
Intended Audience :
Previous experience with configuration management systems
Previous experience with AWS and Ansible
This document provides an overview of a workshop on running Kubernetes on AWS. It outlines the prerequisites including installing Git, AWS CLI, kubectl, and cloning a GitHub repository. The workshop will cover basic Kubernetes concepts like pods, labels, replication controllers, deployments and services. It will demonstrate how to build a Kubernetes cluster on AWS using CloudFormation for infrastructure as code. Hands-on portions will include deploying containers, creating services, and observing the cluster architecture and networking. Additional topics are cluster add-ons like Kubernetes Dashboard and DNS, deploying applications, and cleaning up resources.
1. CNCF kubernetes meetup - Ondrej SikaJuraj Hantak
Kubernetes is a production-grade container orchestration system that abstracts away the underlying hardware infrastructure. It deploys and manages containerized applications and services through declarative configurations that define the desired state. Kubernetes can run on various cloud and on-premise infrastructure and is not tied to any specific vendor. It is useful for organizations that need high availability, manage many applications on servers, and want to easily deploy Dockerized workloads without worrying about infrastructure management. Core concepts in Kubernetes include Pods, Deployments, Services, Namespaces, and various cluster components like the API server, scheduler, and kubelet that ensure the actual cluster state matches the desired configurations.
Orchestrating VM & Container DeploymentsLars Wander
Spinnaker is an open-source, multi-cloud Continuous Delivery platform developed by Netflix, Google, Microsoft, and others. This talk goes into detail about how Spinnaker handles VM and Docker deployments across Google Compute Engine (GCE) and Kubernetes, and what advantages it provides on these platforms.
Stateful set in kubernetes implementation & usecases Krishna-Kumar
This document summarizes a presentation on StatefulSets in Kubernetes. It discusses why StatefulSets are useful for running stateful applications in containers, the differences between stateful and stateless applications, how volumes are used in StatefulSets, examples of running single-instance and multi-instance stateful applications like Zookeeper, and the current status and future roadmap of StatefulSets in Kubernetes.
Docker for Ops: Docker Storage and Volumes Deep Dive and Considerations by Br...Docker, Inc.
This document discusses storage options for Docker containers and images. It introduces different storage drivers that can be used, such as AUFS, BTRFS, DeviceMapper, Overlay, and Overlay2. It also discusses using persistent storage for containers through creating named Docker volumes stored on NFS, BTRFS, or Gluster file systems. This allows stateful applications to have their data persisted even if containers are removed.
Managing Stateful Services with the Operator Pattern in Kubernetes - Kubernet...Jakob Karalus
While it's easy to deploy stateless application with Kubernetes, it's harder for stateful software. Since applications often require custom functionality that Kubernetes can't provide, developers want to add more specialized patterns like automatic backups, failover or rebalancing to their Kubernetes deployments. In this talk, we will look at the Operator Pattern and other possibilities to extend the functionality of Kubernetes and how to use them to operate stateful applications.
Stas Ivaschenko (Senior Operations Analyst/DevOps engineer at Provectus, Inc)
Senior DevOps engineer, more than 10 years in IT.
AWS, Chef, Ansible, Kubernetes, Docker, Hadoop.
Best customers: Symantec, CloudMade
Kubernetes is up and running, what's next? We will talk about recent experience with Kubernetes-centric Serverless technologies. Concepts, overview of 2 frameworks: funktion from RedHat's Fabric8 and Kubeless. How they stand against AWS Lambda and how they rely on Kubernetes internals to do what they are doing.
Docker and Cloud - Enables for DevOps - by ACA-ITStijn Wijndaele
DevOps is gericht op het tot stand brengen van een cultuur binnen organisaties waardoor het ontwikkelen, valideren en releasen van software sneller, meer betrouwbaar en frequenter kan verlopen. Om dit te realiseren staan het automatiseren van het 'software delivery process' en de bijhorende infrastructurele veranderingen centraal. Door de opkomst van 'Microservice Architecture' neemt het belang hiervan nog verder toe.
Sprekers: Stijn Van den Enden & Stijn Wijndaele (ACA IT-Solutions) DevOps is gericht op het tot stand brengen van een cultuur binnen organisaties waardoor het ontwikkelen, valideren en releasen van software sneller, meer betrouwbaar en frequenter kan verlopen. Om dit te realiseren staan het automatiseren van het 'software delivery process' en de bijhorende infrastructurele veranderingen centraal. Door de opkomst van 'Microservice Architecture' neemt het belang hiervan nog verder toe.
In deze avondconferentie werd, na een korte toelichting over DevOps, nagegaan wat Docker en de Cloud kunnen betekenen voor uw business, en hoe zij als enablers kunnen dienen voor het tot stand brengen van een DevOps-cultuur. Het container-landschap waarvan tools zoals Kubernetes, Docker Swarm, ...een belangrijk onderdeel vormen, wordt toegelicht en er wordt ingegaan op de wijze waarop deze tools aangewend kunnen worden om 'development' en 'operations' efficiënt te laten samenwerken.
Docker kubernetes fundamental(pod_service)_190307Inhye Park
The document discusses several challenges with traditional IT infrastructure including lack of agility due to long development times, aging infrastructure with outdated hardware and software, and high costs associated with monolithic architectures. It then introduces containers and microservices as ways to address these challenges by enabling faster development and deployment, using modern infrastructure, and developing applications in a more modular way. Key concepts covered include containerizing existing applications, rearchitecting apps for scale with containers, and moving to a container platform and microservices.
Kubernetes is designed to be an extensible system. But what is the vision for Kubernetes Extensibility? Do you know the difference between webhooks and cloud providers, or between CRI, CSI, and CNI? In this talk we will explore what extension points exist, how they have evolved, and how to use them to make the system do new and interesting things. We’ll give our vision for how they will probably evolve in the future, and talk about the sorts of things we expect the broader Kubernetes ecosystem to build with them.
The path to a serverless-native era with Kubernetessparkfabrik
In this talk we'll talk about how the Serverless paradigms are changing the way we develop applications and cloud infrastructure and how we can implement them in a
efficient and seamless way with Kubernetes.
We'll go through the latest Kubernetes Serverless technologies, talking about all the aspects
including pricing, scalability, observability and best practices.
Cloud-Größen wie Google, Twitter und Netflix haben die Kernbausteine ihrer Infrastruktur quelloffen verfügbar gemacht. Das Resultat aus vielen Jahren Cloud-Erfahrung ist nun frei zugänglich, und jeder kann seine eigenen Cloud-nativen Anwendungen entwickeln – Anwendungen, die in der Cloud zuverlässig laufen und fast beliebig skalieren. Die einzelnen Bausteine wachsen zu einem großen Ganzen zusammen, dem Cloud-Native-Stack. In dieser Session stellen wir die wichtigsten Konzepte und aktuellen Schlüsseltechnologien kurz vor. Anschließend implementieren wir einen einfachen Microservice mit .NET Core und Steeltoe OSS und bringen ihn zusammen mit ausgewählten Bausteinen für Service-Discovery und Konfiguration schrittweise auf einem Kubernetes-Cluster zum Laufen. @BASTAcon #BASTA17 @qaware #CloudNativeNerd
https://basta.net/microservices-services/cloud-native-net-microservices-mit-kubernetes/
Oracle has joined Kubernetes to allow applications and infrastructure to be deployed as containers across virtual machines and servers. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. Oracle supports Kubernetes in various ways including certifying WebLogic and Docker, providing an Oracle Kubernetes Engine (OKE) service on Oracle Cloud Infrastructure (OCI), and developing tools like the WebLogic Kubernetes Operator.
Kubernetes in Kubernetes: 搭建高可用環境 discusses running Kubernetes itself on Kubernetes to provide a self-hosted Kubernetes cluster with high availability. It describes how Bootkube can be used to bootstrap an initial control plane and deploy a full self-hosted control plane. It also discusses options for exposing services externally like NodePort, load balancers, Ingress, and using Keepalived for high availability virtual IPs. The document emphasizes that self-hosting Kubernetes makes operations easier and supports disaster recovery for the control plane.
Kubernetes for java developers - Tutorial at Oracle Code One 2018Anthony Dahanne
You’re a Java developer? Already familiar with Docker? Want to know more about Kubernetes and its ecosystem for developers? During this session, you’ll get familiar with core Kubernetes concepts (pods, deployments, services, volumes, and so on) before seeing the most-popular and most-productive Kubernetes tools in action, with a special focus on Java development. By the end of the session, you’ll have a better understanding of how you can leverage Kubernetes to speed up your Java deployments on-premises or to any cloud.
Dayta AI Seminar - Kubernetes, Docker and AI on CloudJung-Hong Kim
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 services expose these units to enable dynamic load balancing while maintaining session affinity. It also provides self-healing capabilities by restarting containers that fail, replacing them, and killing containers that don't respond to their health check.
Kubernetes deployment on bare metal with container linuxmacchiang
This document discusses deploying Kubernetes on bare metal servers using Container Linux (CoreOS). It describes why bare metal and Container Linux are used, how to deploy the Kubernetes control plane and worker nodes, and how to configure Kubernetes components. The deployment uses CoreOS, etcd, flannel, and TLS assets to set up a highly available Kubernetes cluster on bare metal servers without virtualization. Matchbox can also be used for provisioning nodes by generating Ignition configs from profiles, groups and templates.
Get you Java application ready for Kubernetes !Anthony Dahanne
In this demos loaded talk we’ll explore the best practices to create a Docker image for a Java app (it’s 2019 and new comers such as Jib, CNCF buildpacks are interesting alternatives to Docker builds !) - and how to integrate best with the Kubernetes ecosystem : after explaining main Kubernetes objects and notions, we’ll discuss Helm charts and productivity tools such as Skaffold, Draft and Telepresence.
Exploring MySQL Operator for Kubernetes in PythonIvan Ma
The document discusses the MySQL Operator for Kubernetes, which allows users to run MySQL clusters on Kubernetes. It provides an overview of how the operator works using the Kopf framework to create Kubernetes custom resources and controllers. It describes how the operator creates deployments, services, and other resources to set up MySQL servers in a stateful set, a replica set for routers, and monitoring. The document also provides instructions for installing the MySQL Operator using Kubernetes manifests or Helm.
This document provides an overview of developing, building, deploying, and running microservices using containers in the cloud. It discusses microservices and containers, how to build Docker containers, deploy containers to Kubernetes clusters in the cloud (OKE, AKS, GKE), and build, deploy and test using serverless functions. It provides examples of defining microservices as Kubernetes applications, configuring pods, services, ingress, and automating builds and deployments. Serverless platforms like AWS Lambda, Azure Functions, OpenWhisk, Fn are also briefly introduced.
The document discusses Kubernetes networking. It describes how Kubernetes networking allows pods to have routable IPs and communicate without NAT, unlike Docker networking which uses NAT. It covers how services provide stable virtual IPs to access pods, and how kube-proxy implements services by configuring iptables on nodes. It also discusses the DNS integration using SkyDNS and Ingress for layer 7 routing of HTTP traffic. Finally, it briefly mentions network plugins and how Kubernetes is designed to be open and customizable.
stackconf 2020 | The path to a Serverless-native era with Kubernetes by Paolo...NETWAYS
Serverless is one of the hottest design patterns in the cloud today, i’ll cover how the Serverless paradigms are changing the way we develop applications and the cloud infrastructures and how to implement Serveless-kind workloads with Kubernetes.
We’ll go through the latest Kubernetes-based serverless technologies, covering the most important aspects including pricing, scalability, observability and best practices
Automatically scaling your Kubernetes workloads - SVC210-S - Santa Clara AWS ...Amazon Web Services
We begin this session by taking a brief tour through the history of infrastructure and the evolution of our ability to scale. This includes what provisioning and scaling look like when working with physical servers. We then discuss the technologies that made automatic scaling possible. We also provide an overview of the most common scaling that is available today. Finally, we discuss how to monitor the things that matter. Using this framework, we can determine what metrics we should scale on for different types of applications and workloads.
Looking to make your document processing operations more effective and cost-efficient with AI/ML? Learn from the experts of Provectus and Amazon Web Services (AWS) how to choose the right solution for your company! We will look into the management and engineering perspectives of AI document processing, from industry use cases and the solution map to our unique methodology for assessing available document processing solutions to Provectus IDP. Whether you are looking for a ready-made solution or you plan to build a custom solution of your own, this webinar will help you find the best option for your business.
Agenda
- Introductions
- Industry use cases
- Intelligent Document Processing (IDP) overview
- IDP Solutions map
- AWS IDP Solution
- Provectus IDP Platform
- Q&A
Intended Audience
Technology executives and decision makers, including such roles as CIO, CCO, COO, and CDO; digital transformation managers; data and ML engineers.
Presenters
Almir Davletov, IDP Subject Matter Expert, Provectus
Yaroslav Tarasyuk, Business Development, Provectus
Sonali Sahu, Sr. Solutions Architect, AWS
Interested? Learn more about Provectus Intelligent Document Processing Solution: https://provectus.com/document-processing-solution/
Intelligent Document Processing in Healthcare. Choosing the Right Solutions.Provectus
Healthcare organizations generate piles of documents and forms in different formats, making it difficult to achieve operational excellence and streamline business processes. Manual entry and OCR are no longer viable, and healthcare entities are looking for new solutions to handle documents.
In this presentation you can learn about:
- Healthcare document types and use cases
- IDP framework: building blocks for document processing solutions
- The document processing market landscape
- Methodology for solution evaluation: comparing apples to apples
Whether you are looking for a ready-made solution or plan to build a custom solution of your own, this webinar will help you find the best fit for your healthcare use cases.
Choosing the Right Document Processing Solution for Healthcare OrganizationsProvectus
Looking to automate document processing in your healthcare organization? Learn from Provectus & AWS experts how to make data capture, conversion, and analytics more efficient. Process and manage documents faster and on a larger scale with AI & Machine Learning.
In this presentation, we offer management and engineering perspectives on document processing with AI, to help you explore available options. Whether you are looking for a ready-made solution or plan to build a custom solution of your own, this webinar will help you find the best fit for your healthcare use cases.
MLOps and Data Quality: Deploying Reliable ML Models in ProductionProvectus
Looking to build a robust machine learning infrastructure to streamline MLOps? Learn from Provectus experts how to ensure the success of your MLOps initiative by implementing Data QA components in your ML infrastructure.
For most organizations, the development of multiple machine learning models, their deployment and maintenance in production are relatively new tasks. Join Provectus as we explain how to build an end-to-end infrastructure for machine learning, with a focus on data quality and metadata management, to standardize and streamline machine learning life cycle management (MLOps).
Agenda
- Data Quality and why it matters
- Challenges and solutions of Data Testing
- Challenges and solutions of Model Testing
- MLOps pipelines and why they matter
- How to expand validation pipelines for Data Quality
AI Stack on AWS: Amazon SageMaker and BeyondProvectus
Looking to learn more about AWS AI stack? Join experts from Provectus & AWS to find out how to use Amazon SageMaker (with combination with other tools and services) to enable enterprise-wide AI.
Companies are looking to scale and become more productive when it comes to AI and data initiatives. They seek to launch AI projects more rapidly, which, among many other factors, requires a robust machine learning infrastructure. In this webinar, you will learn how to create a canonical SageMaker workflow, expand the SageMaker workflow to a holistic implementation, enhance and expand the implementation using best practices for feature store, data versioning, ML pipeline orchestration, and model monitoring.
Agenda
- Introductions
- Amazon SageMaker Overview
- Real-World Use Case
- Data Lake for Machine Learning
- Amazon SageMaker Experiments
- Orchestration Beyond SageMaker Experiments
- Amazon SageMaker Debugger
- Amazon SageMaker Model Monitor
- Webinar Takeaways
Intended audience
Technology executives & decision makers, manager-level tech roles, data engineers & data scientists, ML practitioners & ML engineers, and developers
Presenters
- Stepan Pushkarev, Chief Technology Officer, Provectus
- Pritpal Sahota, Technical Account Manager, Provectus
- Christopher A. Burns, Sr. AI/ML Solution Architect, AWS
Feel free to share this presentation with your colleagues and don't hesitate to reach out to us at info@provectus.com if you have any questions!
REQUEST WEBINAR: https://provectus.com/ai-stack-on-aws-sagemaker-and-beyond-mar-2020/
Feature Store as a Data Foundation for Machine LearningProvectus
This document discusses feature stores and their role in modern machine learning infrastructure. It begins with an introduction and agenda. It then covers challenges with modern data platforms and emerging architectural shifts towards things like data meshes and feature stores. The remainder discusses what a feature store is, reference architectures, and recommendations for adopting feature stores including leveraging existing AWS services for storage, catalog, query, and more.
MLOps and Reproducible ML on AWS with Kubeflow and SageMakerProvectus
Looking to implement MLOps using AWS services and Kubeflow? Come and learn about machine learning from the experts of Provectus and Amazon Web Services (AWS)!
Businesses recognize that machine learning projects are important but go beyond just building and deploying models, which is mostly done by organizations. Successful ML projects entail a complete lifecycle involving ML, DevOps, and data engineering and are built on top of ML infrastructure.
AWS and Amazon SageMaker provide a foundation for building infrastructure for machine learning while Kubeflow is a great open source project, which is not given enough credit in the AWS community. In this webinar, we show how to design and build an end-to-end ML infrastructure on AWS.
Agenda
- Introductions
- Case Study: GoCheck Kids
- Overview of AWS Infrastructure for Machine Learning
- Provectus ML Infrastructure on AWS
- Experimentation
- MLOps
- Feature Store
Intended Audience
Technology executives & decision makers, manager-level tech roles, data engineers & data scientists, ML practitioners & ML engineers, and developers
Presenters
- Stepan Pushkarev, Chief Technology Officer, Provectus
- Qingwei Li, ML Specialist Solutions Architect, AWS
Feel free to share this presentation with your colleagues and don't hesitate to reach out to us at info@provectus.com if you have any questions!
REQUEST WEBINAR: https://provectus.com/webinar-mlops-and-reproducible-ml-on-aws-with-kubeflow-and-sagemaker-aug-2020/
Cost Optimization for Apache Hadoop/Spark Workloads with Amazon EMRProvectus
Considering new ways and options for reducing operational costs and scaling flexibility of your Apache Hadoop/Spark? Try migrating to Amazon EMR!
On-premises Apache Hadoop/Spark clusters are among the top sources of financial pressure for businesses. IT organizations want to reduce spend while still meeting demand, to keep their legacy data applications up and running. Come and learn from experts at Provectus & AWS how you can use Amazon EMR to start driving cost efficiencies in your organization!
Agenda
- Hadoop market and cost optimizations using Amazon EMR
- Cost related and other challenges of on-prem Hadoop clusters
- Cost optimizations by using Amazon EMR and migration best practices
Intended audience
Technology executives & decision makers, manager-level tech roles, data engineers & data scientists, and developers
Presenters
- Stepan Pushkarev, Chief Technology Officer, Provectus
- Pritpal Sahota, Technical Account Manager, Provectus
- Nirav Shah, Senior Solutions Architect, AWS
- Perry Peterson, Business Development Manager, AWS
Feel free to share this presentation with your colleagues and don't hesitate to reach out to us at info@provectus.com if you have any questions!
REQUEST WEBINAR: https://provectus.com/cost-optimization-for-apache-hadoop-spark-workloads-with-amazon-emr-june-2020/
ODSC webinar "Kubeflow, MLFlow and Beyond — augmenting ML delivery" Stepan Pu...Provectus
What's a machine learning workflow? What open source tools can you use to automate ML workflow?
Reproducible ML pipelines in research and production with monitoring insights from live inference clusters could enable and accelerate the delivery of AI solutions for enterprises. There is a growing ecosystem of tools that augment researchers and machine learning engineers in their day to day operations.
Still, there are big gaps in the machine learning workflow when it comes to training dataset versioning, training performance and metadata tracking, integration testing, inferencing quality monitoring, bias detection, concept drift detection and other aspects that prevent the adoption of AI in organizations of all sizes.
"Building a Modern Data platform in the Cloud", Alex Casalboni, AWS Dev Day K...Provectus
AWS Dev Day Kyiv 2019
Track: Analytics & Machine Learning
Session: "Building a Modern Data platform in the Cloud"
Speaker: Alex Casalboni, AWS Technical Evangelist
Level: 300
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
Video: https://youtu.be/HIDnAG9AxZo
"How to build a global serverless service", Alex Casalboni, AWS Dev Day Kyiv ...Provectus
AWS Dev Day Kyiv 2019
Track: Modern Application Development
Session: "How to build a global serverless service"
Speaker: Alex Casalboni, AWS Technical Evangelist
Level: 400
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
Video: https://youtu.be/Q19B-NTkMfk
"Automating AWS Infrastructure with PowerShell", Martin Beeby, AWS Dev Day Ky...Provectus
AWS Dev Day Kyiv 2019
Track: Backend & Architecture
Session: "Automating AWS Infrastructure with PowerShell"
Speaker: Martin Beeby, AWS Principle Evangelist
Level: 300
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
Video: https://youtu.be/rgIjjK2J4dQ
"Analyzing your web and application logs", Javier Ramirez, AWS Dev Day Kyiv 2...Provectus
AWS Dev Day Kyiv 2019
Track: Analytics & Machine Learning
Session: "Analyzing your web and application logs"
Speaker: Javier Ramirez, AWS Technical Evangelist
Level: 300
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
Video: https://youtu.be/IpEhEs1sXeg
"Resiliency and Availability Design Patterns for the Cloud", Sebastien Storma...Provectus
AWS Dev Day Kyiv 2019
Track: Backend & Architecture
Session: "Resiliency and Availability Design Patterns for the Cloud"
Speaker: Sebastien Stormacq, AWS Technical Evangelist
Level: 400
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
Video: https://youtu.be/O8gonQCJawU
"Architecting SaaS solutions on AWS", Oleksandr Mykhalchuk, AWS Dev Day Kyiv ...Provectus
AWS Dev Day Kyiv 2019
Track: Backend & Architecture
Session: ""Architecting SaaS solutions on AWS""
Speaker: Oleksandr Mykhalchuk, Director of DevOps & Cloud Services at Softserve
Level: 300
Video: https://youtu.be/3lKoe-ts8Qs
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
"Developing with .NET Core on AWS", Martin Beeby, AWS Dev Day Kyiv 2019Provectus
AWS Dev Day Kyiv 2019
Track: Modern Application Development
Session: "Developing with .NET Core on AWS"
Speaker: Martin Beeby, AWS Principle Evangelist
Level: 300
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
Video: https://youtu.be/OzM8L7H1LmA
"How to build real-time backends", Martin Beeby, AWS Dev Day Kyiv 2019Provectus
AWS Dev Day Kyiv 2019
Track: Backend & Architecture
Session: "How to build real-time backends"
Speaker: Martin Beeby, AWS Principle Evangelist
Level: 300
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
Video: https://youtu.be/bsZYA6V3bDA
"Integrate your front end apps with serverless backend in the cloud", Sebasti...Provectus
AWS Dev Day Kyiv 2019
Track: Modern Application Development
Session: "Integrate your front end apps with serverless backend in the cloud"
Speaker: Sebastien Stormacq, AWS Technical Evangelist
Level: 200
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
Video: https://www.youtube.com/watch?v=6z43H11qoU8&t=1s
"Scaling ML from 0 to millions of users", Julien Simon, AWS Dev Day Kyiv 2019Provectus
AWS Dev Day Kyiv 2019
Track: Analytics & Machine Learning
Session: ""Scaling ML from 0 to millions of users""
Speaker: Julien Simon, Global AI & Machine Learning Evangelist at AWS
Level: 300
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
Video: https://www.youtube.com/watch?v=N73u1mx9DqY
How to implement authorization in your backend with AWS IAMProvectus
AWS Dev Day Kyiv 2019
Track: Backend & Architecture
Session: ""How to implement authorization in your backend with AWS IAM""
Speaker: Stas Ivaschenko, AWS solutions architect at Provectus
Level: 400
Video: https://www.youtube.com/watch?v=4Jje_WJ4V7Q
AWS Dev Day is a free, full-day technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services.
Provectus has organized AWS Dev Day Kyiv in close collaboration with Amazon Web Services: 800+ participants, 18 sessions, 3 tracks, a really AWSome Day!
Now, together with Zeo Alliance, we're building and nurturing AWS User Group Ukraine — join us on Facebook to stay updated about cloud technologies and AWS services: https://www.facebook.com/groups/AWSUserGroupUkraine
"
Low power architecture of logic gates using adiabatic techniquesnooriasukmaningtyas
The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
7. provectus.com
Similarities and differences
Similarities:
• Provide Function-as-a-service
• Rely on Kubernetes for infrastructure, scaling and configuration
• Use containers for runtimes
Differences:
• methods of handling events, event types, external integrations
• Exact implementation
• ability to group functions into Applications
8. provectus.com
Kubeless
• Made by bitnami
• Uses Kafka(comes out of the box) for event sourcing
• Comes with Prometheus
• Out of the box runtimes: NodeJS, Python
• CLI compliant with AWS Lambda CLI
• 2 types of triggers: http and pubSub
9. provectus.com
Kubeless and Kubernetes
• Creates new object Kind “Function”
• Uses ConfigMaps for storing settings/code
• Uses Services as Router for Http trigger
• Constantly running pod Kubeless Controller watches for functions create/update
10. provectus.com
Kubeless: Hello world
$kubectl create ns kubeless
$kubectl -n kubeless create -f “kubeless-v0.1.0.yaml"
$#wait for kafka to start
$kubectl get pods -n kubeless
#Download kubeless binary for your platform
$kubeless function deploy get-python --runtime python27 --handler test.foobar
$ --from-file test.py --trigger-http
$curl --data '{"Another": "Echo"}' $(minikube service get-python --url)
--header "Content-Type:application/json"
{"Another": "Echo"}
11. provectus.com
What’s inside
$ kubectl -n kubeless get po
NAME READY STATUS RESTARTS AGE
kafka-0 1/1 Running 0 10m
kubeless-controller-1732516646-j2krw 1/1 Running 0 10m
zoo-0 1/1 Running 0 10m
$ kubectl get po
NAME READY STATUS RESTARTS AGE
get-python-3134662221-8xk54 1/1 Running 0 7m
$ kubectl get svc
NAME CLUSTER-IP EXTERNAL-IP PORT(S) AGE
get-python 10.0.0.189 <none> 8080/TCP 1m