Deploy like a Boss: Using Kubernetes and Apache Ignite!Dani Traphagen
If downtime is not an option for you and your application needs to be extremely low-latency; what cocktail of open source projects can facilitate this best? Both Kubernetes and Apache Ignite are Open Source Frameworks that work exceedingly well together to achieve said goals. By working with containerization Kubernetes helps enable developers to work seamlessly with new versions of their applications, running them where they want with a flexibly scalable experience. Apache Ignite is the perfect complement to this. As a memory-centric platform Ignite allows you to access distributed data sets processing them using SQL and key-value operations, execute computations and much more. For the purposes of this webinar we will walk through the basics of a Kubernetes and Ignite deployment and how to set up a Apache Ignite cluster addressing the Kubernetes IP Finder, the Kubernetes Ignite Lookup Service, Sharing the Ignite Cluster Configuration, how to Deploy your Ignite Pods and Adjusting the Ignite Cluster Size when you need to scale. All in all, this should be an informative session which should enable you to work with both technologies for a better operational experience with your cluster.
This document provides an overview of deploying Apache Ignite clusters using Kubernetes. It discusses setting up an Ignite cluster with Kubernetes, using the Kubernetes IP finder and lookup service, sharing the Ignite configuration, deploying Ignite pods, and adjusting the cluster size for scaling. Key steps include installing Kubernetes and Ignite, creating configuration files, launching the Kubernetes service, and deploying Ignite pods. The document emphasizes that Kubernetes enables cost efficiency, high availability, and no downtime for maintenance through features like self-healing and horizontal scaling.
Title: Ansible, best practices.
Ansible has taken a prominent place in the configmanagement world. By now many people involved in DevOps have taken a look at it, or done a first project with it. Now it is time to step back and look at quality and craftmanship. Bas Meijer, Ansible ambassador, will talk about Ansible best practices, and will show tips, tricks and examples based on several projects.
About the speaker
Bas is a systems engineer and software developer and wasted decades on latenight hacking. He is currently helping out 2 enterprises with continuous delivery and devops.
This document provides an overview of how to deploy an Apache Ignite cluster using Kubernetes. It discusses setting up an Ignite cluster with Kubernetes, using the Kubernetes IP finder and lookup service, sharing the Ignite cluster configuration, deploying Ignite pods, adjusting the cluster size for scaling, and deploying to Azure. Key steps include installing Kubernetes and Ignite, creating configuration files, launching the Ignite service, and deploying Ignite pods. The document also provides recommendations for resources to learn more about deploying Ignite with Kubernetes.
This document outlines the steps to run Kubernetes locally, including required installations like Java 8, Maven, Git, Kubernetes CLI (kubectl), Minikube, and Docker. It discusses benefits like cloud-native development and testing applications locally before deploying to cloud providers. The steps covered include starting Minikube, building and pushing a Docker image to Minikube's registry, deploying microservices interactively with kubectl or declaratively with YAML files, exposing services, and testing before stopping Minikube.
Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It allows you to group hosts, schedule containers, enable communication between containers, associate containers to storage, and ensure high availability and scalability. The demo uses Minikube to run a single-node Kubernetes cluster locally, installs Helm package manager, and deploys a MySQL database cluster on Kubernetes with replication and load balancing using Helm charts. It also shows how to connect to and upgrade the MySQL deployment.
Ansible Container is a tool that uses Ansible playbooks to build and deploy Docker containers. It was created because Ansible is commonly used to manage containers, shell scripts are limited, and Ansible can bridge containers to orchestration tools. With Ansible Container, a playbook replaces the Dockerfile for building images from roles and tasks. It aims to end the need for complex shell scripts by providing a simple way to build, run, push and deploy containers using Ansible. Key commands are init to set up project files, build to build the image, run to start containers, and push to upload images to a registry.
The document discusses the author's Kubernetes environment and tools including kubectl, Minikube, and Helm. The author details how they use Minikube to create a single node Kubernetes cluster with kubectl and deploy charts with Helm. They also discuss charts they have already tried like Prometheus and Spinnaker as well as creating their own original chart called abematv-comment-receiver.
Deploy like a Boss: Using Kubernetes and Apache Ignite!Dani Traphagen
If downtime is not an option for you and your application needs to be extremely low-latency; what cocktail of open source projects can facilitate this best? Both Kubernetes and Apache Ignite are Open Source Frameworks that work exceedingly well together to achieve said goals. By working with containerization Kubernetes helps enable developers to work seamlessly with new versions of their applications, running them where they want with a flexibly scalable experience. Apache Ignite is the perfect complement to this. As a memory-centric platform Ignite allows you to access distributed data sets processing them using SQL and key-value operations, execute computations and much more. For the purposes of this webinar we will walk through the basics of a Kubernetes and Ignite deployment and how to set up a Apache Ignite cluster addressing the Kubernetes IP Finder, the Kubernetes Ignite Lookup Service, Sharing the Ignite Cluster Configuration, how to Deploy your Ignite Pods and Adjusting the Ignite Cluster Size when you need to scale. All in all, this should be an informative session which should enable you to work with both technologies for a better operational experience with your cluster.
This document provides an overview of deploying Apache Ignite clusters using Kubernetes. It discusses setting up an Ignite cluster with Kubernetes, using the Kubernetes IP finder and lookup service, sharing the Ignite configuration, deploying Ignite pods, and adjusting the cluster size for scaling. Key steps include installing Kubernetes and Ignite, creating configuration files, launching the Kubernetes service, and deploying Ignite pods. The document emphasizes that Kubernetes enables cost efficiency, high availability, and no downtime for maintenance through features like self-healing and horizontal scaling.
Title: Ansible, best practices.
Ansible has taken a prominent place in the configmanagement world. By now many people involved in DevOps have taken a look at it, or done a first project with it. Now it is time to step back and look at quality and craftmanship. Bas Meijer, Ansible ambassador, will talk about Ansible best practices, and will show tips, tricks and examples based on several projects.
About the speaker
Bas is a systems engineer and software developer and wasted decades on latenight hacking. He is currently helping out 2 enterprises with continuous delivery and devops.
This document provides an overview of how to deploy an Apache Ignite cluster using Kubernetes. It discusses setting up an Ignite cluster with Kubernetes, using the Kubernetes IP finder and lookup service, sharing the Ignite cluster configuration, deploying Ignite pods, adjusting the cluster size for scaling, and deploying to Azure. Key steps include installing Kubernetes and Ignite, creating configuration files, launching the Ignite service, and deploying Ignite pods. The document also provides recommendations for resources to learn more about deploying Ignite with Kubernetes.
This document outlines the steps to run Kubernetes locally, including required installations like Java 8, Maven, Git, Kubernetes CLI (kubectl), Minikube, and Docker. It discusses benefits like cloud-native development and testing applications locally before deploying to cloud providers. The steps covered include starting Minikube, building and pushing a Docker image to Minikube's registry, deploying microservices interactively with kubectl or declaratively with YAML files, exposing services, and testing before stopping Minikube.
Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It allows you to group hosts, schedule containers, enable communication between containers, associate containers to storage, and ensure high availability and scalability. The demo uses Minikube to run a single-node Kubernetes cluster locally, installs Helm package manager, and deploys a MySQL database cluster on Kubernetes with replication and load balancing using Helm charts. It also shows how to connect to and upgrade the MySQL deployment.
Ansible Container is a tool that uses Ansible playbooks to build and deploy Docker containers. It was created because Ansible is commonly used to manage containers, shell scripts are limited, and Ansible can bridge containers to orchestration tools. With Ansible Container, a playbook replaces the Dockerfile for building images from roles and tasks. It aims to end the need for complex shell scripts by providing a simple way to build, run, push and deploy containers using Ansible. Key commands are init to set up project files, build to build the image, run to start containers, and push to upload images to a registry.
The document discusses the author's Kubernetes environment and tools including kubectl, Minikube, and Helm. The author details how they use Minikube to create a single node Kubernetes cluster with kubectl and deploy charts with Helm. They also discuss charts they have already tried like Prometheus and Spinnaker as well as creating their own original chart called abematv-comment-receiver.
Meetup talk on my experiments with ansible-container.
Use ansible-container to provision docker containers using ansible, then ship them to kubernetes or OpenShift
The document provides an overview of different build tools available for Erlang projects, including Emakefile, Rebar, Rebar3, Erlang.mk, and Mix. Each tool has its own strengths in areas like packaging and releases, documentation, compilation and tests, and dependency management. The document describes how to set up a basic project using each tool and references additional online resources for using the tools in Erlang and Elixir development.
The document discusses how Puppet can be used to automate the installation and configuration of Splunk through consistent management of servers. It provides an overview of key Puppet concepts like Facter, Hiera, resources and modules. The presentation demonstrates setting up a Splunk cluster of 4 servers using Vagrant and Puppet to provision and configure the multi-site deployment.
This document provides an agenda and instructions for an Oracle Monthly Meetup on November 18, 2017 about getting started with Kubernetes. The meetup will cover installing Docker and Kubernetes using tools like kubectl and minikube, and include hands-on demonstrations of creating deployments, pods, services and using other kubectl commands.
The Bonsai Asset Index : A new way for the community to share resourcesSensu Inc.
Sensu launched Bonsai, the Sensu asset index pretty quietly in February, and since that time we’ve been doing continual improvements on the asset story with feedback from our early adopters. In this Sensu Summit 2019 talk, Developer Advocate Jef Spaleta provides an overview of the asset feature journey, how assets work, the role Bonsai plays, and how the community is already contributing!
Hands-On Introduction to Kubernetes at LISA17Ryan Jarvinen
This document provides an agenda and instructions for a hands-on introduction to Kubernetes tutorial. The tutorial will cover Kubernetes basics like pods, services, deployments and replica sets. It includes steps for setting up a local Kubernetes environment using Minikube and demonstrates features like rolling updates, rollbacks and self-healing. Attendees will learn how to develop container-based applications locally with Kubernetes and deploy changes to preview them before promoting to production.
Ansiblefest 2018 Network automation journey at robloxDamien Garros
In December 2017, Roblox’s network was managed in a traditional way without automation.
To sustained its growth, the team had to deploy 2 datacenters, a global network and multiple point of presence around the world in few months, the only solution to be able to achieve that was to automate everything.
6 months later, the team has made tremendous progress and many aspects of the network lifecycle has been automated from the routers, switches to the load balancers.
Synopsis
This talk is a retrospective of Roblox’s journey into Network automation:
How we got started and how we automated an existing network.
How we organized the project around Github and an DCIM/IPAM solution (netbox),
How Docker helped us to package Ansible and create a consistent environment.
How we managed many roles and variations of our design in single project
How we have automated the provisioning of our F5 Load Balancers.
For each point, we’ll cover what was successful, what was more challenging and what limitations we had to deal with.
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.
● Fundamentals
● Key Components
● Best practices
● Spring Boot REST API Deployment
● CI with Ansible
● Ansible for AWS
● Provisioning a Docker Host
● Docker&Ansible
https://github.com/maaydin/ansible-tutorial
Use the Elastic Stack (ELK stack) to analyze the business data and API analytics. You can use Logstash for Filebeat to process Anypoint Platform log files, insert them into an Elasticsearch database, and then analyze them with Kibana.
This document provides an overview and agenda for an Ansible hands-on training session. It begins with discussing Ansible fundamentals like key components, best practices, and using Ansible for various automation tasks. The agenda then covers specific topics like deploying Spring Boot apps with Ansible, using Ansible for continuous integration, provisioning Docker hosts, and deploying Docker applications. It concludes by discussing DevOps consultancy services for containerization, automated provisioning, deployment, testing, and moving workloads to the cloud.
Kubernetes has evolved from Borg at Google to provide an open source platform for automating deployment, scaling, and management of containerized applications. The presentation discusses how to use Jenkins, Fabric8, and other tools to achieve continuous integration and delivery (CI/CD) with Kubernetes. It provides examples of configuring Jenkins and Fabric8 to build, test, and deploy container images to a Kubernetes cluster, illustrating an end-to-end CI/CD workflow on Kubernetes.
ContainerDays 2018, Hamburg: Workshop with Josef Adersberger (@adersberger, CTO bei QAware)
Abstract:
Istio service mesh is a thrilling new tech that helps getting a lot of technical stuff out of your microservices (circuit breaking, observability, mutual-TLS, ...) into the infrastructure - for those who are lazy (aka productive) and want to keep their microservices small. Come one, come all to the Istio playground:
(1) We provide a ready-to-use Kubernetes cluster.
(2) We guide you through the installation of Istio.
(3) We bring a small Spring Cloud sample application.
(4) We provide assistance in the case you get stuck ... and it's up to you to explore and tinker with Istio on your own paths and with your own pace.
Other documents including code for this workshop are open source: https://github.com/adersberger/istio-playground
Anas Tarsha presented on using Ansible for network automation. Ansible is an open source automation tool that is agentless and uses simple YAML files called playbooks to execute tasks sequentially. It can be used to generate device configurations, push configurations, collect running configs, upgrade devices, and more. Ansible modules run Python code directly on network devices to perform tasks. The demo showed using Ansible modules like ping, ios_command, and junos_command to execute show commands and change the hostname on both IOS and Junos devices. Additional resources were provided to learn more about using Ansible for network automation.
Kubernetes is an open-source container cluster manager that was originally developed by Google. It was created as a rewrite of Google's internal Borg system using Go. Kubernetes aims to provide a declarative deployment and management of containerized applications and services. It facilitates both automatic bin packing as well as self-healing of applications. Some key features include horizontal pod autoscaling, load balancing, rolling updates, and application lifecycle management.
Kube Overview and Kube Conformance Certification OpenSource101 RaleighBrad Topol
This is my Introduction to Kubernetes and Overview of the Kubernetes Conformance Certification Program talk presented at OpenSource101 Raleigh on Feb 17, 2018
No Docker? No Problem: Automating installation and config with AnsibleJeff Potts
In this talk I show how to bring stability and repeatability to your Alfresco installation by automating install and config management with Ansible.
This talk was originally given at Alfresco DevCon 2020 (virtual edition).
This document discusses how to generate an APIKit project skeleton from the command line using Maven and the apikit-archetype. It describes running the mvn archetype:generate command with specific parameters to create a directory structure with initial files. It also explains how to generate RESTful API flows and configurations in mule-config.xml based on a RAML API description file using the apikit-maven-plugin's create goal.
artificial intelligence and data science contents.pptxGauravCar
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
› ...
Artificial intelligence (AI) | Definitio
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Use ansible-container to provision docker containers using ansible, then ship them to kubernetes or OpenShift
The document provides an overview of different build tools available for Erlang projects, including Emakefile, Rebar, Rebar3, Erlang.mk, and Mix. Each tool has its own strengths in areas like packaging and releases, documentation, compilation and tests, and dependency management. The document describes how to set up a basic project using each tool and references additional online resources for using the tools in Erlang and Elixir development.
The document discusses how Puppet can be used to automate the installation and configuration of Splunk through consistent management of servers. It provides an overview of key Puppet concepts like Facter, Hiera, resources and modules. The presentation demonstrates setting up a Splunk cluster of 4 servers using Vagrant and Puppet to provision and configure the multi-site deployment.
This document provides an agenda and instructions for an Oracle Monthly Meetup on November 18, 2017 about getting started with Kubernetes. The meetup will cover installing Docker and Kubernetes using tools like kubectl and minikube, and include hands-on demonstrations of creating deployments, pods, services and using other kubectl commands.
The Bonsai Asset Index : A new way for the community to share resourcesSensu Inc.
Sensu launched Bonsai, the Sensu asset index pretty quietly in February, and since that time we’ve been doing continual improvements on the asset story with feedback from our early adopters. In this Sensu Summit 2019 talk, Developer Advocate Jef Spaleta provides an overview of the asset feature journey, how assets work, the role Bonsai plays, and how the community is already contributing!
Hands-On Introduction to Kubernetes at LISA17Ryan Jarvinen
This document provides an agenda and instructions for a hands-on introduction to Kubernetes tutorial. The tutorial will cover Kubernetes basics like pods, services, deployments and replica sets. It includes steps for setting up a local Kubernetes environment using Minikube and demonstrates features like rolling updates, rollbacks and self-healing. Attendees will learn how to develop container-based applications locally with Kubernetes and deploy changes to preview them before promoting to production.
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In December 2017, Roblox’s network was managed in a traditional way without automation.
To sustained its growth, the team had to deploy 2 datacenters, a global network and multiple point of presence around the world in few months, the only solution to be able to achieve that was to automate everything.
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This talk is a retrospective of Roblox’s journey into Network automation:
How we got started and how we automated an existing network.
How we organized the project around Github and an DCIM/IPAM solution (netbox),
How Docker helped us to package Ansible and create a consistent environment.
How we managed many roles and variations of our design in single project
How we have automated the provisioning of our F5 Load Balancers.
For each point, we’ll cover what was successful, what was more challenging and what limitations we had to deal with.
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.
● Fundamentals
● Key Components
● Best practices
● Spring Boot REST API Deployment
● CI with Ansible
● Ansible for AWS
● Provisioning a Docker Host
● Docker&Ansible
https://github.com/maaydin/ansible-tutorial
Use the Elastic Stack (ELK stack) to analyze the business data and API analytics. You can use Logstash for Filebeat to process Anypoint Platform log files, insert them into an Elasticsearch database, and then analyze them with Kibana.
This document provides an overview and agenda for an Ansible hands-on training session. It begins with discussing Ansible fundamentals like key components, best practices, and using Ansible for various automation tasks. The agenda then covers specific topics like deploying Spring Boot apps with Ansible, using Ansible for continuous integration, provisioning Docker hosts, and deploying Docker applications. It concludes by discussing DevOps consultancy services for containerization, automated provisioning, deployment, testing, and moving workloads to the cloud.
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2. Step 1: Setting Up Your Environment
1. **Install Ansible**: Ensure Ansible is installed on your control
machine where you will run the deployment scripts.
2. **Set Up GitLab Repository**: Create a GitLab repository to
store your Ansible playbooks, roles, and configuration files for
deploying the Splunk search head cluster.
3. Step 2: Writing Ansible Playbooks
1. **Create Ansible Playbooks**: Develop Ansible playbooks that define
the tasks for deploying and configuring Splunk search head instances in
the cluster.
2. **Use Ansible Roles**: Organize your tasks into reusable roles for
modularity and easier maintenance.
3. **Store Playbooks in GitLab**: Commit your Ansible playbooks to the
GitLab repository for version control and collaboration.
4. Step 3: Configuring Splunk Search Head Cluster
1. **Define Configuration Parameters**: Set up variables and
configurations in your Ansible playbooks for the Splunk
search head cluster deployment.
2. **Integrate with GitLab**: Use GitLab's pipeline feature to
trigger the deployment process when changes are pushed to
the repository.
5. Step 4: Deploying Splunk Search Head Cluster
1. **Run Ansible Playbooks**: Execute the Ansible playbooks on the
target servers to deploy and configure the Splunk search head cluster.
2. **Monitoring and Testing**: Monitor the deployment process and
test the functionality of the search head cluster to ensure it is set up
correctly.
### Step 5: Continuous Integration and Continuous Deployment
(CI/CD)