Microservices Architecture and Containers.

Mar 3, 2015Download as PPTX, PDF2 likes1,032 views

This document discusses microservices architecture and how containers can help solve problems with monolithic architectures. It describes how microservices break applications into independent, scalable services that communicate over standard protocols. Containers provide standardized, isolated environments for microservices. Using containers for microservices allows for easier deployment and management of distributed applications across infrastructure.

Microservices Architecture
and Containers.
Jacob Clark (@imjacobclark)

Monolithic architectures
● Fundamental components are interwoven
● Typically composed of Client, Server & Database
● Examples being WordPress, Jenkins, GitLab
● Changes mean complete compilation/redeploy
● Difficult to scale
● Generally easier to build
● Generally easier to deploy

Posts Content Users
Plugins DashboardThemes
WordPress
HTTP Server
MySQL

Microservices Architecture and Containers.

Microservices architectures
● An application built as a suite of small services
● Standalone, scalable & distributed
● Communicate over a standard protocol (REST, message queues)
● Programmatically react to failures
● Evolutionary architecture principle (don't microservice all the things...)
● Improved automation and delivery
● Not tied to a single language or framework

Client
Comments
Content
Plugins
Dashboard
Themes
Posts
HTTP Server (Loadbalancing)
json
json
json
octet stream
json
html html
Themes
Themes
Plugins
Plugins
Comments
Comments
Posts
Posts
DB adaptor
json

The problem
● omg boxes???
● Horrendous deployment times
● Maintaining large infrastructure
● A simple architecture now hugely complicated
● Cost is exponential
● Monitoring??
● Does my cloud provider even support programmatic
provisioning??

The solution... containers!
● Applications and their dependencies only (not an entire OS)
● Single kernel opposed to multikernel
● Built into the foundations of Unix (LXC, etc)
● Run as an isolated processes in userspace
● Resources are isolated from the host and other
containers (much like Virtualisation)
● Consistent, portable and packageable environments by
default (no need for Vagrant or Packer)

Putting them together...
● Microservices inside containers make for easy to
distribute services
● Developers can build on identical and consistent
environments
● Containers can be hosted on private repositories,
making individual service deployment faster (dependencies aren't
pulled from third party mirrors)
● Deployment build jobs are considerably smaller

ClientDashboard Themes
Plugins Comments
Posts
DB
adaptor
Database
Host 02
Themes
Plugins
CommentsPosts
DB
adaptor
Host 03
Themes
Plugins
CommentsPosts
DB
adaptor
Host 04
Host 01
HTTP Load Balancer
Host 05
Content

Docker
● It’s creating a container standard (libcontainer)
● Cross-platform thanks to Microsoft Azure
● 75’000+ pre-built `Dockerized` applications, including
Ubuntu, MongoDB & Node.
● Backed by eBay, Spotify, Rackspace, New Relic and
more

Dockerising a Node app...
server.js
package.json
Dockerfile
docker build -t bbc-example-app .
docker run -t -i -p 1337:1337 bbc-example-app

CoreOS
● OS designed for launching containers
● Built for clustering
● Built in service discovery with automatic failover
● Docker by default
● Backed by Google, Rackspace, Cisco and Mozilla

● Fleet for centralised service management of
an entire cluster
● Systemd for cluster service management
● Etcd service discovery via a cluster
distributed key-value store
● Confd for dynamic configuration reloading
● https://github.com/imjacobclark/devnews-coreos
Scaling Node on CoreOS

- Microservices is an architectural style that structures an application as a collection of small, independent services that communicate with each other, often over the network. It can improve agility, scalability, and resilience. - While challenging, microservices are worth pursuing due to benefits like improved iteration speed and engineer autonomy enabled by modern tools like containers and service orchestration platforms. - For building microservices, Scala and the Akka toolkit are good choices as Akka supports core aspects of microservices like distributed actors, reactive programming, and event streaming. Its features help address issues in concurrent and distributed systems.

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𝙄𝙨 𝘼𝙄 𝙟𝙪𝙨𝙩 𝙝𝙮𝙥𝙚? 𝙊𝙧 𝙞𝙨 𝙞𝙩 𝙩𝙝𝙚 𝙜𝙖𝙢𝙚 𝙘𝙝𝙖𝙣𝙜𝙚𝙧 𝙮𝙤𝙪𝙧 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙣𝙚𝙚𝙙𝙨? Everyone’s talking about AI but is anyone really using it to create real value? Most companies want to leverage AI. Few know 𝗵𝗼𝘄. ✅ What exactly should you ask to find real AI opportunities? ✅ Which AI techniques actually fit your business? ✅ Is your data even ready for AI? If you’re not sure, you’re not alone. This is a condensed version of the slides I presented at a Linkedin webinar for Tecnovy on 28.04.2025.

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Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan

This is a Quick Research Guide (QRG). QRGs include the following: - A brief, high-level overview of the QRG topic. - A milestone timeline for the QRG topic. - Links to various free online resource materials to provide a deeper dive into the QRG topic. - Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic. QRGs planned for the series: - Artificial Intelligence QRG - Quantum Computing QRG - Big Data Analytics QRG - Spacecraft Guidance, Navigation & Control QRG (coming 2026) - UK Home Computing & The Birth of ARM QRG (coming 2027) Any questions or comments? - Please contact Arthur Morgan at [email protected]. 100% human made.

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Toradex brings robust Linux support to SMARC (Smart Mobility Architecture), ensuring high performance and long-term reliability for embedded applications. Here’s how: • Optimized Torizon OS & Yocto Support – Toradex provides Torizon OS, a Debian-based easy-to-use platform, and Yocto BSPs for customized Linux images on SMARC modules. • Seamless Integration with i.MX 8M Plus and i.MX 95 – Toradex SMARC solutions leverage NXP’s i.MX 8 M Plus and i.MX 95 SoCs, delivering power efficiency and AI-ready performance. • Secure and Reliable – With Secure Boot, over-the-air (OTA) updates, and LTS kernel support, Toradex ensures industrial-grade security and longevity. • Containerized Workflows for AI & IoT – Support for Docker, ROS, and real-time Linux enables scalable AI, ML, and IoT applications. • Strong Ecosystem & Developer Support – Toradex offers comprehensive documentation, developer tools, and dedicated support, accelerating time-to-market. With Toradex’s Linux support for SMARC, developers get a scalable, secure, and high-performance solution for industrial, medical, and AI-driven applications. Do you have a specific project or application in mind where you're considering SMARC? We can help with Free Compatibility Check and help you with quick time-to-market For more information: https://www.toradex.com/computer-on-modules/smarc-arm-family

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