Docker Swarm Meetup (15min lightning)
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Swarm allows multiple Docker hosts to be clustered together into a single virtual Docker host. It provides features like scheduling, rescheduling on failure, high availability with multiple masters, and service discovery. To set up a Swarm cluster, run the Swarm manager container on one host and restart the Docker daemons on the other hosts with arguments to join the cluster. An example voting app microservices demo shows how to deploy an application across a Swarm cluster.
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The document discusses analyzing performance test results with the ELK stack. It describes the ELK stack components of ElasticSearch for log storing, Logstash for log processing, and Kibana for generating graphs and charts from JSON logs. It discusses using the ELK stack for both live log monitoring and static log analysis. It provides examples of using Kibana to monitor system logs, analyze HTTP request resources, and compare performance testing results over time.
Java Garbage Collectors – Moving to Java7 Garbage First (G1) Collector
One of the key strengths of JVM is automatic memory management (Garbage Collection). Its understanding can help in writing better applications. This becomes all the more important as enterprise server applications have large amount of live heap data and significant parallel threads. Until recently, main collectors were parallel collector and concurrent-mark-sweep (CMS) collector. This presentation introduces the various Garbage Collectors and compares the CMS collector against its replacement, a new implementation in Java7 i.e. G1. It is characterized by a single contiguous heap which is split into same-sized regions. In fact if your application is still running on the 1.5 or 1.6 JVM, a compelling argument to upgrade to Java 7 is to leverage G1.
Alan Johnson Resume
Alan K. Johnson is an experienced ex-military truck driver seeking a career in logistics. He has over 20 years of experience driving tractor-trailers and operating heavy vehicles while transporting a wide range of goods across 48 U.S. states. His resume highlights his extensive experience in logistics, hazardous materials handling, and supervising employees in warehousing and transportation roles.
Plumbing tips
This document provides several tips for common plumbing issues:
1) Use pipe insulation to prevent sprayer hoses from catching on shutoff valves.
2) Use a shop vacuum to remove hard objects like toys that are clogging drains, rather than using a plunger which may push them deeper.
3) Wrap pipes in adhesive-backed felt to reduce noise from expanding pipes rubbing against hangers.
Doç. Dr. Mehmet Ali GÜLÇELİK
Erkekte, gebelikte, daha önce
meme veya aksiller cerrahi
uygulananlarda aksillaya yaklaşım
AWS Chicago user group meetup on June 24, 2014
All presentation slides for the Chicago AWS user group meetup held at Mediafly on June 24, 2014. Thanks to speakers:
Ben Hagen, Senior Cloud Security Engineer at Netflix @benhagen
Bryan Murphy, Technical Architect at Mediafly @bryanmurphy
Aaron Botsis, Lead Product Manager at ThreatStack @aaronb
Mattew Long, Founder and CEO at roZoom, Inc @mlong168
Thanks to sponsors:
Hosts: Mediafly
Beers and drinks: ThreatStack
Pizza: el el see
Organizers: CohesiveFT
See you in July!
RSVP here: http://www.meetup.com/Chicago-Amazon-Web-Services-Group/
How to build a Distributed Serverless Polyglot Microservices IoT Platform us...
When people aren't talking about VMs and containers, they're talking about serverless architecture. Serverless is about no maintenance. It means you are not worried about low-level infrastructural and operational details. An event-driven serverless platform is a great use case for IoT.
In this session at @ThingsExpo, Animesh Singh, an STSM and Lead for IBM Cloud Platform and Infrastructure, detailed how to build a distributed serverless, polyglot, microservices framework using open source technologies like:
OpenWhisk: Open source distributed compute service to execute application logic in response to events
Docker: To run event driven actions 6. Ansible and BOSH: to deploy the serverless platform
MQTT: Messaging protocol for IoT
Node-RED: Tool to wire IoT together
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Kafka: A high-throughput distributed messaging system.
StatsD/ELK/Graphite: For statistics, monitoring and logging
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Similar to Docker Swarm Meetup (15min lightning)
Docker Swarm: Docker Native Clustering
from the Docker Mountain View Meetup on 2/24
Docker Swarm turns a pool of Docker hosts into a single, virtual Docker host. It's a different approach to clustering that aims for simplicity, flexibility and high scale.
This talk covers the new Swarm features and demonstrate a realistic microservice style application running on Swarm.
Topics:
• How to deploy a complex multi-container application on Swarm
• Deployment patterns for AWS or Vagrant
• Load balancing and scaling N web frontends with Interlock+ha_proxy
• Independently scaling backend workers
All code used in the demo is available at https://github.com/mgoelzer/swarm-demo-voting-app and can be used as a starting point for your own applications.
Learn more about Docker Swarm: https://www.docker.com/products/docker-swarm
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Swarm allows multiple Docker hosts to be clustered together into a single virtual Docker host. The document discusses how to set up a Swarm cluster in three steps: 1) Create a key-value store, 2) Run the Swarm manager container, and 3) Configure Docker daemon arguments on hosts. It also provides an example of running a microservices voting application on Swarm and references additional example repositories.
Docker
Docker provides tools for building and running containerized applications. The Docker Engine manages Docker objects like images, containers, networks and volumes. Docker Desktop is for Mac/Windows and includes Docker Engine and other tools. Docker Compose defines multi-container apps. Docker Hub is a public registry and Docker Swarm manages clusters of Docker Engines.
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This document discusses using Docker to build and deploy microservices for a Bizweb application. It proposes using Docker Swarm mode for orchestration along with Netflix OSS components like Eureka, Zuul and Ribbon to provide service discovery, API gateway functionality and load balancing between microservices. Continuous integration is achieved using Jenkins to build Docker images from code commits, tag them and push to a private Docker registry. When code is committed, Jenkins triggers deployment of updated services to a Docker Swarm cluster for testing or production. This approach aims to reduce delivery time, simplify deployment and scaling of microservices.
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Docker HK Meetup - 201707
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Summary of DockerCon Europe.
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The Nova driver for Docker has been maturing rapidly since its mainline removal in Icehouse. During the Juno cycle, substantial improvements have been made to the driver, and greater parity has been reached with other virtualization drivers. We will explore these improvements and what they mean to deployers. Eric will additionally showcase deployment scenarios for the deployment of OpenStack itself inside and underneath of Docker for powering traditional VM-based computing, storage, and other cloud services. Finally, users should expect a preview of the planned integration with the new OpenStack Containers Service effort to provide automation of advanced containers functionality and Docker-API semantics inside of an OpenStack cloud.
Note that the included Heat templates are NOT usable. See the linked Heat resources for viable templates and examples.
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- 2. Swarm: Simplicity, Flexibility, Ease of Setup • What is Swarm? • How do you set it up? • Sample microservice application on Swarm
- 6. Swarm Features • Scheduling • Rescheduling on failure • HA (multiple masters) • Labels, affinities and constraints to control scheduling decisions • DNS-based service discovery
- 8. Step 1: Start Swarm manager docker run -d -p 3375:2375 swarm manage consul://192.168.33.10:8500/ Refs: https://docs.docker.com/swarm https://docs.docker.com/swarm/install-manual/
- 10. Voilà, a cluster
- 11. Example Repo: Microservice App on Swarm Upcoming Swarm Meetup: http://www.meetup.com/Docker-Mountain-View/events/228284089/ https://github.com/mgoelzer/swarm-demo-voting-app Demonstrates a microservice app on Swarm including: • Vagrantfile and AWS Cloud Formation template to deploy the cluster • Load balanced web front end • DNS-based service discovery
- 14. Jérôme’s Example: Coin Miner Slides: http://view.dckr.info/ Repo: https://github.com/jpetazzo/orchestration-workshop Demonstrates: • How to do batch workloads on Swarm • ELK stack for logging and metrics • Other load balancing patterns beyond Interlock
- 15. Mike Goelzer | mgoelzer@docker.com | GH: @mgoelzer | @mikegoelzer