Everything you need to know Docker Swarm Orchestration.
These are the slides containing Orchestration in Docker. I present these slides at 2 hours meetups and seminars.
Everything you need to know about DockerAlican Akkuş
Docker is a container platform that allows developers to easily deploy applications. It allows building, shipping and running distributed applications without costly rewrites whether using microservices or traditional apps. Docker simplifies software delivery using containers that package code and dependencies together, ensuring apps work seamlessly in any computing environment. Docker Compose and Docker Swarm allow defining and running multi-container apps across multiple hosts, providing clustering, orchestration and service discovery capabilities.
This document discusses Docker Swarm Mode, which allows managing a cluster of Docker Engines called a swarm. Key features include integrated cluster management, declarative application deployment across nodes, automatic scaling, service discovery, and encryption between nodes. The document demonstrates initializing a swarm on two VMs, adding a worker node, deploying services in replicated and global modes, attaching services to networks, publishing service ports, updating services, and more swarm commands.
This document provides an overview of Docker Swarm 1.12, including:
- Docker Swarm allows clustering of Docker engines into a single virtual engine for orchestrating services across nodes.
- In Swarm, an application consists of one or more services running on software defined networks, and each service can connect to multiple networks.
- Swarm has manager nodes that orchestrate tasks and worker nodes that execute tasks, and services are scaled through replicated or global tasks distributed across nodes.
- Key Swarm features include load balancing, high scalability, failover/availability, and flexible container scheduling policies.
- The document concludes with an example Swarm demo of creating a cluster and deploying/managing services.
This document introduces Docker networking and Docker Swarm mode. It discusses the different types of Docker networks including bridge, null, and host networks. It also covers multi-host networking using overlay networks. For Docker Swarm mode, it describes the key features including self-healing, self-organizing, blue-print deployment, load balancing using a routing mesh, and not requiring additional components for service discovery or load balancing. The document aims to provide an overview of these topics and includes examples.
Docker 1.12 is on everyone's lips these day. With built in Swarm mode, we can achieve orchestration out of the box with simplicity, reliability, and effective scalability. I had the pleasure of presenting Docker 1.12 and Swarm at a DevOps meetup held at SA Home Loans.
You can read more info on my blog: http://blog.stratotechnology.com/intro-to-docker-1-12-and-swarm-mode/
A deep dive into deploying services and orchestrating containers with Docker’s Swarm Mode.
Swarm Mode provides built-in container orchestration capabilities, including native clustering of Docker hosts and scheduling of container workloads.
The presentation starts out with a discussion of container orchestration. Then dives into a look at how Docker Swarm handles the specifics.
This document provides an overview of Docker Swarm and how to set up and use a Docker Swarm cluster. It discusses key Swarm concepts, initializing a cluster, adding nodes, deploying services, rolling updates, draining nodes, failure scenarios, and the Raft consensus algorithm used for leader election in Swarm mode. The document walks through examples of creating a Swarm, adding nodes, deploying a service, inspecting and scaling services, rolling updates, and draining nodes. It also covers failure scenarios for nodes and managers and how the Swarm handles them.
Everything you need to know about DockerAlican Akkuş
Docker is a container platform that allows developers to easily deploy applications. It allows building, shipping and running distributed applications without costly rewrites whether using microservices or traditional apps. Docker simplifies software delivery using containers that package code and dependencies together, ensuring apps work seamlessly in any computing environment. Docker Compose and Docker Swarm allow defining and running multi-container apps across multiple hosts, providing clustering, orchestration and service discovery capabilities.
This document discusses Docker Swarm Mode, which allows managing a cluster of Docker Engines called a swarm. Key features include integrated cluster management, declarative application deployment across nodes, automatic scaling, service discovery, and encryption between nodes. The document demonstrates initializing a swarm on two VMs, adding a worker node, deploying services in replicated and global modes, attaching services to networks, publishing service ports, updating services, and more swarm commands.
This document provides an overview of Docker Swarm 1.12, including:
- Docker Swarm allows clustering of Docker engines into a single virtual engine for orchestrating services across nodes.
- In Swarm, an application consists of one or more services running on software defined networks, and each service can connect to multiple networks.
- Swarm has manager nodes that orchestrate tasks and worker nodes that execute tasks, and services are scaled through replicated or global tasks distributed across nodes.
- Key Swarm features include load balancing, high scalability, failover/availability, and flexible container scheduling policies.
- The document concludes with an example Swarm demo of creating a cluster and deploying/managing services.
This document introduces Docker networking and Docker Swarm mode. It discusses the different types of Docker networks including bridge, null, and host networks. It also covers multi-host networking using overlay networks. For Docker Swarm mode, it describes the key features including self-healing, self-organizing, blue-print deployment, load balancing using a routing mesh, and not requiring additional components for service discovery or load balancing. The document aims to provide an overview of these topics and includes examples.
Docker 1.12 is on everyone's lips these day. With built in Swarm mode, we can achieve orchestration out of the box with simplicity, reliability, and effective scalability. I had the pleasure of presenting Docker 1.12 and Swarm at a DevOps meetup held at SA Home Loans.
You can read more info on my blog: http://blog.stratotechnology.com/intro-to-docker-1-12-and-swarm-mode/
A deep dive into deploying services and orchestrating containers with Docker’s Swarm Mode.
Swarm Mode provides built-in container orchestration capabilities, including native clustering of Docker hosts and scheduling of container workloads.
The presentation starts out with a discussion of container orchestration. Then dives into a look at how Docker Swarm handles the specifics.
This document provides an overview of Docker Swarm and how to set up and use a Docker Swarm cluster. It discusses key Swarm concepts, initializing a cluster, adding nodes, deploying services, rolling updates, draining nodes, failure scenarios, and the Raft consensus algorithm used for leader election in Swarm mode. The document walks through examples of creating a Swarm, adding nodes, deploying a service, inspecting and scaling services, rolling updates, and draining nodes. It also covers failure scenarios for nodes and managers and how the Swarm handles them.
The document is a slide deck presentation by Bret Fisher on going into production with Docker and Swarm. Some key points from the presentation include focusing first on Dockerfiles rather than complex orchestration, avoiding anti-patterns like using the "latest" tag or trapping unique data in containers, and starting with a simple 3 node Swarm cluster for high availability before scaling up further. The presentation also provides examples of full tech stacks using various open source and commercial tools for a Dockerized infrastructure.
The age of orchestration: from Docker basics to cluster managementNicola Paolucci
The container abstraction hit the collective developer mind with great force and created a space of innovation for the distribution, configuration and deployment of cloud based applications. Now that this new model has established itself work is moving towards orchestration and coordination of loosely coupled network services. There is an explosion of tools in this arena at different degrees of stability but the momentum is huge.
On the above premise this session we'll delve into a selection of the following topics:
- Two minute Docker intro refresher
- Overview of the orchestration landscape (Kubernetes, Mesos, Helios and Docker tools)
- Introduction to Docker own ecosystem orchestration tools (machine, swarm and compose)
- Live demo of cluster management using a sample application.
A basic understanding of Docker is suggested to fully enjoy the talk.
Using Docker Swarm Mode to Deploy Service Without Loss by Dongluo Chen & Nish...Docker, Inc.
Talk from Docker SF Meetup #50
Abstract:
Docker swarm mode enables users to manage their applications with service primitives. In this talk we demonstrate how to do service upgrades without impacting your application. The Healthcheck feature provides health indication for a container. Coming up in Docker 1.13 release, Docker Swarm can connect healthcheck result with load balancer to implement no-loss service upgrade.
Speaker Biographies:
Nishant Totla is a software engineer at Docker, and works on the core open source team. He is currently working on Docker SwarmKit and Docker Swarm. Prior to Docker, he was a PhD student at UC Berkeley, doing research on programming languages. In his spare time, he enjoys long-distance running, biking, and other outdoor activities. Nishant tweets at @nishanttotla.
Dongluo Chen is a software engineer at Docker focusing on orchestration and container development. Before Docker he was software engineer manager at Microsoft Azure building and automating global data centers. He worked at France Telecom (Orange) and the Ohio State University as research scientist in networking area.
Presentation of the new Docker Swarm Mode in Docker 1.12 at the Bamberg/Germany Docker User Group Meetup (http://www.meetup.com/de-DE/Docker-Bamberg/) in July 2016.
Docker Swarm allows managing multiple Docker hosts as a single virtual Docker engine. The presenter demonstrates setting up a traditional Docker Swarm cluster with an external key-value store and load balancer. SwarmKit provides the core components of Docker Swarm as standalone binaries. Docker Swarm Mode is integrated directly into Docker Engine 1.12 and later, providing built-in orchestration without external components. The presenter then demonstrates a tutorial using Docker Swarm Mode to deploy a multi-container voting application across 3 Docker hosts and scale the service.
Docker Swarm allows managing Docker clusters remotely. The key components are swarm managers, swarm nodes, and a scheduler. Swarm managers oversee nodes in the cluster using Docker APIs. The scheduler uses strategies and filters to determine where to place containers on nodes. Discovery services help register and discover nodes in the cluster.
1. Kubernetes and Docker Swarm are container orchestrators that ensure applications have the required number of running instances and provide automatic failover.
2. Kubernetes uses a master-node architecture and deploys configurations declaratively using YAML files. It ensures configurations are consistent and provides built-in health checks.
3. Docker Swarm manages nodes in a cluster using Docker APIs. It provides container placement using pluggable schedulers with strategies like bin packing and spread. It also supports resource management and affinity/anti-affinity filters.
4. Both orchestrators have limitations like complicated deployment and a lack of automatic horizontal scaling. Kubernetes has more advanced functionality for application deployments and health checks.
My talk from the Mountain View Docker Meetup on Feb 24, 2016. It covers what Docker Swarm is, how to create a cluster, and then walks you through a sample app. Embedded links point to the public Github repo containing the sample app, as well as a series of Youtube videos showing how to reproduce the demo on your own.
Docker Swarm Is Dead: Long Live Docker SwarmElton Stoneman
From the Docker London MeetUp, presented on 27th June 2016. A walkthrough of Swarm Mode in Docker 1.12, the presentation introduces demos for creating a Docker Swarm using Azure virtual machines, and running a distributed application with a Node REST API, feeding analytics into Elasticsearch via a Redis queue.
This document discusses Docker Swarm, a native clustering service for Docker that allows scheduling of container workloads across multiple hosts. It describes how to set up a Swarm cluster by labeling multiple machines and joining them to a Swarm manager node. The Swarm manager then uses scheduling options like filters and strategies to distribute containers across hosts based on constraints, affinity, ports, dependencies, health checks, and node labels. While the Swarm API is mostly compatible with Docker's API, it currently has some missing endpoints and differences related to TLS support for secure communication in the cluster.
Docker Engine 1.12 can be rightly called ” A Next Generation Docker Clustering & Distributed System”. Though Docker Engine 1.12 Final Release is around corner but the recent RC3 brings lots of improvements and exciting features. One of the major highlight of this release is Docker Swarm Mode which provides powerful yet optional ability to create coordinated groups of decentralized Docker Engines. Swarm Mode combines your engine in swarms of any scale. It’s self-organizing and self-healing. It enables infrastructure-agnostic topology.The newer version democratizes orchestration with out-of-box capabilities for multi-container on multi-host app deployments.
Technical overview of how SUSE OpenStack Cloud uses Chef to implement highly available OpenStack infrastructure services.
Target audience: curious developers in the upstream openstack-chef community
These slides were extracted from internal HA training for SUSE OpenStack Cloud developers, and slightly modified for the benefit of the openstack‐chef community.
Docker Online Meetup #28: Production-Ready Docker SwarmDocker, Inc.
presented by Alexandre Beslic (@abronan)
Swarm v1.0 is now ready for running your apps in production!
Swarm is the easiest way to run Docker applications at large scale on a cluster. It turns a pool of Docker Engines into a single, virtual Engine. You don’t have to worry about where to put containers, or how they’re going to talk to each other - it just handles all that for you.
We’ve spent the last few months tirelessly hardening and tuning it, and in combination with multi-host networking and the new volume system in Docker Engine 1.9, we can confidently say that it’s ready for running your apps in production. In our tests, we’ve been running Swarm on EC2 with 1,000 nodes and 30,000 containers and it keeps on scheduling containers in less than half a second. Not even breaking a sweat! Keep an eye for a blog post soon with the full details.
Read more: http://blog.docker.com/2015/11/swarm-1-0/
The document discusses Docker Swarm, a Docker container orchestration tool. It provides an overview of key Swarm features like cluster management, service discovery, load balancing, rolling updates and high availability. It also discusses how to deploy applications using Swarm, including accessing GPUs, the deployment workflow, and using Swarm on ARM architectures. The conclusion states that the best orchestration tool depends on one's use case and preferences as each has advantages and disadvantages.
This document discusses Microservices and Docker Swarm. It begins by introducing the presenter and their background. It then defines what a microservice is and introduces Docker. Key concepts about Docker Swarm are explained such as swarm features, service discovery without an external database, and the swarm concept of managers, workers, services and tasks. It demonstrates how to build a swarm cluster and add nodes, and discusses security, routing mesh, scaling, reverse proxy, rolling updates and secrets. Finally it briefly mentions logging, metrics and dashboard tools to monitor Docker systems.
An introduction to Docker native clustering: Swarm.
Deployment and configuration, integration with Consul, for a product-like cluster to serve web-application with multiple containers on multiple hosts. #dockerops
What's New in Docker 1.12 (June 20, 2016) by Mike Goelzer & Andrea LuzzardiMike Goelzer
Docker 1.12 introduces several new features for managing containerized applications at scale including Docker Swarm mode for native clustering and orchestration. Key features include services that allow defining and updating distributed applications, a built-in routing mesh for load balancing between nodes, and security improvements like cryptographic node identities and TLS encryption by default. The document also discusses plugins, health checks, and distributed application bundles for declaring stacks of services.
The document provides an overview of Docker for web developers. It defines containers and Docker, explaining that Docker allows developers to package applications into standardized units for development, shipment and deployment. It covers Docker concepts like images, containers, Dockerfiles and registries. It also discusses how to install Docker, manage images and containers, configure networking, mount volumes, and allow communication between containers. The goal is to explain the key Docker concepts and components to help developers understand and use Docker.
In this overview presented to a gathering of directors for a large network equipment manufacturer, Chris discusses Docker, DevOps workflows, considerations for containers in production, and the extended Docker technology ecosystem.
A presentation on how applying Cloud Architecture Patterns using Docker Swarm as orchestrator is possible to create reliable, resilient and scalable FIWARE platforms.
The document is a slide deck presentation by Bret Fisher on going into production with Docker and Swarm. Some key points from the presentation include focusing first on Dockerfiles rather than complex orchestration, avoiding anti-patterns like using the "latest" tag or trapping unique data in containers, and starting with a simple 3 node Swarm cluster for high availability before scaling up further. The presentation also provides examples of full tech stacks using various open source and commercial tools for a Dockerized infrastructure.
The age of orchestration: from Docker basics to cluster managementNicola Paolucci
The container abstraction hit the collective developer mind with great force and created a space of innovation for the distribution, configuration and deployment of cloud based applications. Now that this new model has established itself work is moving towards orchestration and coordination of loosely coupled network services. There is an explosion of tools in this arena at different degrees of stability but the momentum is huge.
On the above premise this session we'll delve into a selection of the following topics:
- Two minute Docker intro refresher
- Overview of the orchestration landscape (Kubernetes, Mesos, Helios and Docker tools)
- Introduction to Docker own ecosystem orchestration tools (machine, swarm and compose)
- Live demo of cluster management using a sample application.
A basic understanding of Docker is suggested to fully enjoy the talk.
Using Docker Swarm Mode to Deploy Service Without Loss by Dongluo Chen & Nish...Docker, Inc.
Talk from Docker SF Meetup #50
Abstract:
Docker swarm mode enables users to manage their applications with service primitives. In this talk we demonstrate how to do service upgrades without impacting your application. The Healthcheck feature provides health indication for a container. Coming up in Docker 1.13 release, Docker Swarm can connect healthcheck result with load balancer to implement no-loss service upgrade.
Speaker Biographies:
Nishant Totla is a software engineer at Docker, and works on the core open source team. He is currently working on Docker SwarmKit and Docker Swarm. Prior to Docker, he was a PhD student at UC Berkeley, doing research on programming languages. In his spare time, he enjoys long-distance running, biking, and other outdoor activities. Nishant tweets at @nishanttotla.
Dongluo Chen is a software engineer at Docker focusing on orchestration and container development. Before Docker he was software engineer manager at Microsoft Azure building and automating global data centers. He worked at France Telecom (Orange) and the Ohio State University as research scientist in networking area.
Presentation of the new Docker Swarm Mode in Docker 1.12 at the Bamberg/Germany Docker User Group Meetup (http://www.meetup.com/de-DE/Docker-Bamberg/) in July 2016.
Docker Swarm allows managing multiple Docker hosts as a single virtual Docker engine. The presenter demonstrates setting up a traditional Docker Swarm cluster with an external key-value store and load balancer. SwarmKit provides the core components of Docker Swarm as standalone binaries. Docker Swarm Mode is integrated directly into Docker Engine 1.12 and later, providing built-in orchestration without external components. The presenter then demonstrates a tutorial using Docker Swarm Mode to deploy a multi-container voting application across 3 Docker hosts and scale the service.
Docker Swarm allows managing Docker clusters remotely. The key components are swarm managers, swarm nodes, and a scheduler. Swarm managers oversee nodes in the cluster using Docker APIs. The scheduler uses strategies and filters to determine where to place containers on nodes. Discovery services help register and discover nodes in the cluster.
1. Kubernetes and Docker Swarm are container orchestrators that ensure applications have the required number of running instances and provide automatic failover.
2. Kubernetes uses a master-node architecture and deploys configurations declaratively using YAML files. It ensures configurations are consistent and provides built-in health checks.
3. Docker Swarm manages nodes in a cluster using Docker APIs. It provides container placement using pluggable schedulers with strategies like bin packing and spread. It also supports resource management and affinity/anti-affinity filters.
4. Both orchestrators have limitations like complicated deployment and a lack of automatic horizontal scaling. Kubernetes has more advanced functionality for application deployments and health checks.
My talk from the Mountain View Docker Meetup on Feb 24, 2016. It covers what Docker Swarm is, how to create a cluster, and then walks you through a sample app. Embedded links point to the public Github repo containing the sample app, as well as a series of Youtube videos showing how to reproduce the demo on your own.
Docker Swarm Is Dead: Long Live Docker SwarmElton Stoneman
From the Docker London MeetUp, presented on 27th June 2016. A walkthrough of Swarm Mode in Docker 1.12, the presentation introduces demos for creating a Docker Swarm using Azure virtual machines, and running a distributed application with a Node REST API, feeding analytics into Elasticsearch via a Redis queue.
This document discusses Docker Swarm, a native clustering service for Docker that allows scheduling of container workloads across multiple hosts. It describes how to set up a Swarm cluster by labeling multiple machines and joining them to a Swarm manager node. The Swarm manager then uses scheduling options like filters and strategies to distribute containers across hosts based on constraints, affinity, ports, dependencies, health checks, and node labels. While the Swarm API is mostly compatible with Docker's API, it currently has some missing endpoints and differences related to TLS support for secure communication in the cluster.
Docker Engine 1.12 can be rightly called ” A Next Generation Docker Clustering & Distributed System”. Though Docker Engine 1.12 Final Release is around corner but the recent RC3 brings lots of improvements and exciting features. One of the major highlight of this release is Docker Swarm Mode which provides powerful yet optional ability to create coordinated groups of decentralized Docker Engines. Swarm Mode combines your engine in swarms of any scale. It’s self-organizing and self-healing. It enables infrastructure-agnostic topology.The newer version democratizes orchestration with out-of-box capabilities for multi-container on multi-host app deployments.
Technical overview of how SUSE OpenStack Cloud uses Chef to implement highly available OpenStack infrastructure services.
Target audience: curious developers in the upstream openstack-chef community
These slides were extracted from internal HA training for SUSE OpenStack Cloud developers, and slightly modified for the benefit of the openstack‐chef community.
Docker Online Meetup #28: Production-Ready Docker SwarmDocker, Inc.
presented by Alexandre Beslic (@abronan)
Swarm v1.0 is now ready for running your apps in production!
Swarm is the easiest way to run Docker applications at large scale on a cluster. It turns a pool of Docker Engines into a single, virtual Engine. You don’t have to worry about where to put containers, or how they’re going to talk to each other - it just handles all that for you.
We’ve spent the last few months tirelessly hardening and tuning it, and in combination with multi-host networking and the new volume system in Docker Engine 1.9, we can confidently say that it’s ready for running your apps in production. In our tests, we’ve been running Swarm on EC2 with 1,000 nodes and 30,000 containers and it keeps on scheduling containers in less than half a second. Not even breaking a sweat! Keep an eye for a blog post soon with the full details.
Read more: http://blog.docker.com/2015/11/swarm-1-0/
The document discusses Docker Swarm, a Docker container orchestration tool. It provides an overview of key Swarm features like cluster management, service discovery, load balancing, rolling updates and high availability. It also discusses how to deploy applications using Swarm, including accessing GPUs, the deployment workflow, and using Swarm on ARM architectures. The conclusion states that the best orchestration tool depends on one's use case and preferences as each has advantages and disadvantages.
This document discusses Microservices and Docker Swarm. It begins by introducing the presenter and their background. It then defines what a microservice is and introduces Docker. Key concepts about Docker Swarm are explained such as swarm features, service discovery without an external database, and the swarm concept of managers, workers, services and tasks. It demonstrates how to build a swarm cluster and add nodes, and discusses security, routing mesh, scaling, reverse proxy, rolling updates and secrets. Finally it briefly mentions logging, metrics and dashboard tools to monitor Docker systems.
An introduction to Docker native clustering: Swarm.
Deployment and configuration, integration with Consul, for a product-like cluster to serve web-application with multiple containers on multiple hosts. #dockerops
What's New in Docker 1.12 (June 20, 2016) by Mike Goelzer & Andrea LuzzardiMike Goelzer
Docker 1.12 introduces several new features for managing containerized applications at scale including Docker Swarm mode for native clustering and orchestration. Key features include services that allow defining and updating distributed applications, a built-in routing mesh for load balancing between nodes, and security improvements like cryptographic node identities and TLS encryption by default. The document also discusses plugins, health checks, and distributed application bundles for declaring stacks of services.
The document provides an overview of Docker for web developers. It defines containers and Docker, explaining that Docker allows developers to package applications into standardized units for development, shipment and deployment. It covers Docker concepts like images, containers, Dockerfiles and registries. It also discusses how to install Docker, manage images and containers, configure networking, mount volumes, and allow communication between containers. The goal is to explain the key Docker concepts and components to help developers understand and use Docker.
In this overview presented to a gathering of directors for a large network equipment manufacturer, Chris discusses Docker, DevOps workflows, considerations for containers in production, and the extended Docker technology ecosystem.
A presentation on how applying Cloud Architecture Patterns using Docker Swarm as orchestrator is possible to create reliable, resilient and scalable FIWARE platforms.
Characterizing and Contrasting Kuhn-tey-ner Awr-kuh-streyt-orsSonatype
Lee Calcote, Solar Winds
Running a few containers? No problem. Running hundreds or thousands? Enter the container orchestrator. Let’s take a look at the characteristics of the four most popular container orchestrators and what makes them alike, yet unique.
Swarm
Nomad
Kubernetes
Mesos+Marathon
We’ll take a structured looked at these container orchestrators, contrasting them across these categories:
Genesis & Purpose
Support & Momentum
Host & Service Discovery
Scheduling
Modularity & Extensibility
Updates & Maintenance
Health Monitoring
Networking & Load-Balancing
High Availability & Scale
This presentation has been given during DevOps Congress in Wrocław. It is about container orchestrations with Docker Swarm and Traefik. It includes the configuration examples of Traefik version 2.0.
The source code used in the presentation: https://github.com/jakubhajek/traefik-swarm
JDO 2019: Container orchestration with Docker Swarm - Jakub HajekPROIDEA
This document discusses Docker Swarm and container orchestration. It provides an overview of key Docker Swarm features such as decentralized design, declarative service model, rolling updates, secrets, and configs. It then describes a demonstration environment running on AWS with Docker Swarm, NodeJS, Consul, Traefik, and Let's Encrypt. Diagrams are shown of the overlay networks, architecture, and stacks. The demonstration shows the cluster topology, service scaling, and response time testing. Contact information is provided to learn more about Docker Swarm, container orchestration, and the demonstration environment.
Container orchestration from theory to practiceDocker, Inc.
"Join Laura Frank and Stephen Day as they explain and examine technical concepts behind container orchestration systems, like distributed consensus, object models, and node topology. These concepts build the foundation of every modern orchestration system, and each technical explanation will be illustrated using SwarmKit and Kubernetes as a real-world example. Gain a deeper understanding of how orchestration systems work in practice and walk away with more insights into your production applications."
Orchestrating Linux Containers while tolerating failuresDocker, Inc.
lthough containers are bringing a refreshing flexibility when deploying services in production, the management of those containers in such an environment still requires special care in order to keep the application up and running. In this regard, orchestration platforms like Docker, Kubernetes and Nomad have been trying to alleviate this responsibility, facilitating the task of deploying and maintaining the entire application stack in its desired state. This ensures that a service will be always running, tolerating machine failures, network erratic behavior or software updates and downtime. The purpose of this talk is to explain the mechanisms and architecture of the Docker Engine orchestration platform (using a framework called swarmkit) to tolerate failures of services and machines, from cluster state replication and leader-election to container re-scheduling logic when a host goes down.
Container World 2017 - Characterizing and Contrasting Container OrchestratorsLee Calcote
Mesos is a distributed systems kernel that provides efficient resource isolation and sharing across distributed applications or frameworks. It was designed to handle large-scale distributed computing across clusters of servers. Mesos abstracts CPU, memory, storage, and other compute resources away from machines (physical or virtual), enabling fault-tolerant and elastic distributed systems to easily be built and run effectively.
Putting Kafka In Jail – Best Practices To Run Kafka On Kubernetes & DC/OSLightbend
Apache Kafka–part of Lightbend Fast Data Platform–is a distributed streaming platform that is best suited to run close to the metal on dedicated machines in statically defined clusters. For most enterprises, however, these fixed clusters are quickly becoming extinct in favor of mixed-use clusters that take advantage of all infrastructure resources available.
In this webinar by Sean Glover, Fast Data Engineer at Lightbend, we will review leading Kafka implementations on DC/OS and Kubernetes to see how they reliably run Kafka in container orchestrated clusters and reduce the overhead for a number of common operational tasks with standard cluster resource manager features. You will learn specifically about concerns like:
* The need for greater operational knowhow to do common tasks with Kafka in static clusters, such as applying broker configuration updates, upgrading to a new version, and adding or decommissioning brokers.
* The best way to provide resources to stateful technologies while in a mixed-use cluster, noting the importance of disk space as one of Kafka’s most important resource requirements.
* How to address the particular needs of stateful services in a model that natively favors stateless, transient services.
Docker Networking - Common Issues and Troubleshooting TechniquesSreenivas Makam
This document discusses Docker networking components and common issues. It covers Docker networking drivers like bridge, host, overlay, topics around Docker daemon access and configuration behind firewalls. It also discusses container networking best practices like using user-defined networks instead of links, connecting containers to multiple networks, and connecting managed services to unmanaged containers. The document is intended to help troubleshoot Docker networking issues.
Higher order infrastructure: from Docker basics to cluster management - Nicol...Codemotion
The container abstraction hit the collective developer mind with great force and created a space of innovation for the distribution, configuration and deployment of cloud based applications. Now that this new model has established itself work is moving towards orchestration and coordination of loosely coupled network services. There is an explosion of tools in this arena at different degrees of stability but the momentum is huge. On the above premise this session we'll give an overview of the orchestration landscape and a (semi)live demo of cluster management using a sample application.
Do any VM's contain a particular indicator of compromise? E.g. Run a YARA signature over all executables on my virtual machines and tell me which ones match.
Container Orchestration from Theory to PracticeDocker, Inc.
Join Laura Frank and Stephen Day as they explain and examine technical concepts behind container orchestration systems, like distributed consensus, object models, and node topology. These concepts build the foundation of every modern orchestration system, and each technical explanation will be illustrated using Docker’s SwarmKit as a real-world example. Gain a deeper understanding of how orchestration systems like SwarmKit work in practice and walk away with more insights into your production applications.
What is the Difference Between Kubernetes and Docker?Ravendra Singh
Apps that operate in containers may be automatically scaled, deployed, and managed with the help of Kubernetes, an open-source cloud-native infrastructure solution that is available for free. While Kubernetes was first developed and maintained by Google, the Cloud Native Computing Foundation took over the development and management of the system.
Dr. Piyush Harsh discusses using Docker to streamline the testing environment for Cyclops, an open-source rating, charging, and billing microservices framework. Key benefits of Docker include predictable, standardized environment setup and faster response times compared to virtual machine-based deployments. Some challenges included port conflicts and ensuring service start order, but these were easy to address. A demo of Cyclops integrating with external components for a telecom network virtualization use case is also mentioned.
Container Orchestration with Docker Swarm and KubernetesWill Hall
This presentation covers the basics of what container orchestration is providing pros and cons of Docker Swarm, Kubernetes and Amazon ECS and outlining the terms and tools you will need to successfully use them.
Stop Worrying and Keep Querying, Using Automated Multi-Region Disaster RecoveryDoKC
Stop Worrying and Keep Querying, Using Automated Multi-Region Disaster Recovery - Shivani Gupta, Elotl & Sergey Pronin, Percona
Disaster Recovery(DR) is critical for business continuity in the face of widespread outages taking down entire data centers or cloud provider regions. DR relies on deployment to multiple locations, data replication, monitoring for failure and failover. The process is typically manual involving several moving parts, and, even in the best case, involves some downtime for end-users. A multi-cluster K8s control plane presents the opportunity to automate the DR setup as well as the failure detection and failover. Such automation can dramatically reduce RTO and improve availability for end-users. This talk (and demo) describes one such setup using the open source Percona Operator for PostgreSQL and a multi-cluster K8s orchestrator. The orchestrator will use policy driven placement to replicate the entire workload on multiple clusters (in different regions), detect failure using pluggable logic, and do failover processing by promoting the standby as well as redirecting application traffic
A guide to deploying an initial Docker Swarm mode network and then incorporating Asterisk into that swarm. Commands, a discussion of host mode vs overlay networking, and the basics of a deployable Docker Swarm mode Stack file are all covered.
Docker swarm - An introduction to Docker native clusteringShantanu Deshpande
Docker Swarm allows multiple Docker engines to be clustered together as a single virtual machine. It exposes a standard Docker API and makes clustering easy. Key features include declarative service models, scaling, load balancing, service discovery, and rolling updates. Services in Swarm are made up of tasks and containers that are scheduled across nodes by the cluster manager. Deploying a service or stack to Swarm can be done with the docker service and docker stack commands.
UI5con 2024 - Keynote: Latest News about UI5 and it’s EcosystemPeter Muessig
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
Everything You Need to Know About X-Sign: The eSign Functionality of XfilesPr...XfilesPro
Wondering how X-Sign gained popularity in a quick time span? This eSign functionality of XfilesPro DocuPrime has many advancements to offer for Salesforce users. Explore them now!
How Can Hiring A Mobile App Development Company Help Your Business Grow?ToXSL Technologies
ToXSL Technologies is an award-winning Mobile App Development Company in Dubai that helps businesses reshape their digital possibilities with custom app services. As a top app development company in Dubai, we offer highly engaging iOS & Android app solutions. https://rb.gy/necdnt
8 Best Automated Android App Testing Tool and Framework in 2024.pdfkalichargn70th171
Regarding mobile operating systems, two major players dominate our thoughts: Android and iPhone. With Android leading the market, software development companies are focused on delivering apps compatible with this OS. Ensuring an app's functionality across various Android devices, OS versions, and hardware specifications is critical, making Android app testing essential.
Top 9 Trends in Cybersecurity for 2024.pptxdevvsandy
Security and risk management (SRM) leaders face disruptions on technological, organizational, and human fronts. Preparation and pragmatic execution are key for dealing with these disruptions and providing the right cybersecurity program.
Top Benefits of Using Salesforce Healthcare CRM for Patient Management.pdfVALiNTRY360
Salesforce Healthcare CRM, implemented by VALiNTRY360, revolutionizes patient management by enhancing patient engagement, streamlining administrative processes, and improving care coordination. Its advanced analytics, robust security, and seamless integration with telehealth services ensure that healthcare providers can deliver personalized, efficient, and secure patient care. By automating routine tasks and providing actionable insights, Salesforce Healthcare CRM enables healthcare providers to focus on delivering high-quality care, leading to better patient outcomes and higher satisfaction. VALiNTRY360's expertise ensures a tailored solution that meets the unique needs of any healthcare practice, from small clinics to large hospital systems.
For more info visit us https://valintry360.com/solutions/health-life-sciences
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian CompaniesQuickdice ERP
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
2. DOCKER SWARM MODE
What will we be doing today?
‣ Clustering and container scheduling
‣ Understandable Distributed Consensus
‣ Build a swarm cluster
‣ One or more node will be manager
‣ Two or more node will be worker
‣ A sample app that uses a Java Spring Boot backend connected to a database to
display a fictitious art shop with a React front-end.
‣ Scale the number of containers in the swarm.
2
3. DOCKER SWARM MODE
Clustering and Container scheduling
‣ Orchestration is a broad term that refers to container scheduling, cluster management, and possibly the
provisioning of additional hosts.
‣ In this environment, "scheduling" refers to the ability for an administrator to load a service file onto a host system
that establishes how to run a specific container.
While scheduling refers to the specific act of loading the service definition, in a more general sense, schedulers
are responsible for hooking into a host's init system to manage services in whatever capacity needed.
‣ Cluster management is the process of controlling a group of hosts. This can involve adding and removing hosts
from a cluster, getting information about the current state of hosts and containers,
and starting and stopping processes.
Cluster management is closely tied to scheduling because the scheduler must have access
to each host in the cluster in order to schedule services.
For this reason, the same tool is often used for both purposes.
3
4. DOCKER SWARM MODE
Swarm Mode Features
‣ The cluster management and orchestration features embedded in the Docker Engine.
‣ You enable swarm mode for an engine by either initializing a swarm or joining an existing
swarm.
‣ Docker provides isolation but Swarm mode provides scalability.
‣ With a single engine, applications can be scaled out faster and more effectively.
‣ Swarm can scale up to 50,000 containers and 1,000 nodes with no effect on performance as
new containers are added to the cluster.
4
5. DOCKER SWARM MODE
Swarm Mode Features
‣ Declarative service model ;
Docker Engine uses a declarative approach to let you define the desired state of the various services in
your application stack. For example, you might describe an application comprised of a web front end
service with message queueing services and a database backend.
‣ Scaling ;
For each service, you can declare the number of tasks you want to run. When you scale up or down, the
swarm manager automatically adapts by adding or removing tasks to maintain the desired state.
‣ Desired state reconciliation ;
The swarm manager node constantly monitors the cluster state and reconciles any differences between
the actual state and your expressed desired state.
For example, if you set up a service to run 10 replicas of a container, and a worker machine hosting
two of those replicas crashes, the manager will create two new replicas to replace the replicas that
crashed.
The swarm manager assigns the new replicas to workers that are running and available.
5
6. DOCKER SWARM MODE
Swarm Mode Features
‣ Multi-host networking ;
You can specify an overlay network for your services. The swarm manager automatically assigns
addresses to the containers on the overlay network when it initializes or updates the application.
‣ Load balancing ;
You can expose the ports for services to an external load balancer. Internally, the swarm lets you
specify how to distribute service containers between nodes.
‣ Secure by default ;
Each node in the swarm enforces TLS mutual authentication and encryption to secure
communications between itself and all other nodes.
You have the option to use self-signed root certificates or certificates from a custom root CA.
6
7. DOCKER SWARM MODE
Swarm Mode Features
‣ Rolling updates ;
At rollout time you can apply service updates to nodes incrementally. The swarm manager lets
you control the delay between service deployment to different sets of nodes. If anything goes
wrong, you can roll-back a task to a previous version of the service.
‣ Service discovery ;
Swarm manager nodes assign each service in the swarm a unique DNS name and load
balances running containers. You can query every container running in the swarm through a
DNS server embedded in the swarm.
7
8. DOCKER SWARM MODE
Distributed Consensus - RAFT
‣ Consensus is a fundamental problem in fault-tolerant distributed systems. Consensus involves multiple servers agreeing on values.
‣ Raft is a consensus algorithm that is designed to be easy to understand. It's equivalent to Paxos in fault-tolerance and
performance.
‣ A node can be in 1 of 3 states:
‣ the Follower state
‣ the Candidate state
‣ or the Leader state
‣ All our nodes start in the follower state. If followers don't hear from a leader then they can become a candidate.
‣ Once they reach a decision on a value, that decision is final.
‣ Raft tolerates up to (N-1)/2 failures and requires a majority or quorum of (N/2)+1 members to
agree on values proposed to the cluster.
‣ For example; a cluster of 5 servers can continue to operate even if 2 servers fail.
If more servers fail, they stop making progress.
8
12. DOCKER SWARM MODE
Docker Swarm Mode
‣ initalize swarm;
docker swarm init
‣ Once you’ve created a swarm with a manager node, you’re ready to add worker nodes.
docker swarm join --token SWTKN-1-231 192.168.99.100:2377
‣ you can join to swarm as manage or worker.
‣ run the docker node ls command to see the worker nodes;
* Swarm management commands like docker node ls only work on manager nodes.
id hostname status availability manager status
03g1y59jwfg7cf worker2 Ready Active -
a9j68exjopxe7w worker1 Ready Active -
dxn1zf6l61qsb * manager1 Ready Active Leader
12
13. DOCKER SWARM MODE
DEMO
‣ A sample app that uses a Java Spring Boot backend connected to a database to display a
fictitious art shop with a React front-end.
‣ We’ve 3 swarm nodes(one manager and two worker)
‣ https://github.com/AlicanAkkus/atsea-sample-shop-app
13