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awesome-kubernetes/docs/introduction.md
Inaki Fernandez a50bcdf40f Jan 31st
2022-01-31 12:42:44 +01:00

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Introduction. Microservice Architecture. From Java EE To Cloud Native. Openshift VS Kubernetes

Introduction

Pets vs Cattle Analogy

  • ==cloudscaling.com: The History of Pets vs Cattle and How to Use the Analogy Properly==
    • In the old way of doing things, we treat our servers like pets, for example Bob the mail server. If Bob goes down, its all hands on deck. The CEO cant get his email and its the end of the world. In the new way, servers are numbered, like cattle in a herd. For example, www001 to www100. When one server goes down, its taken out back, shot, and replaced on the line.
    • ==Pets==: Servers or server pairs that are treated as indispensable or unique systems that can never be down. Typically they are manually built, managed, and “hand fed”. Examples include mainframes, solitary servers, HA loadbalancers/firewalls (active/active or active/passive), database systems designed as master/slave (active/passive), and so on.
    • ==Cattle==: Arrays of more than two servers, that are built using automated tools, and are designed for failure, where no one, two, or even three servers are irreplaceable. Typically, during failure events no human intervention is required as the array exhibits attributes of “routing around failures” by restarting failed servers or replicating data through strategies like triple replication or erasure coding. Examples include web server arrays, multi-master datastores such as Cassandra clusters, multiple racks of gear put together in clusters, and just about anything that is load-balanced and multi-master.
  • ==traefik.io: Pets vs. Cattle: The Future of Kubernetes in 2022==

Technical Debt

Twelve-Factor Apps in Kubernetes

Architecture Decision Records

Self service developer platform

Disaster Recovery

SaaS

Multi Cloud

Cloud Automation

Automation Glossary

Microservices Best Practices

Microservice Patterns

Microservices Anti Patterns

Microservices Interview Questions

Backends for Frontends

Cloud Migration Checklist

Microservices Failures

Transform Legacy Java Apps to Microservices with automation tools

Namespaces for Data Structuring

From SysAdmin to Architect

Raft Consensus Algorithm

  • The Raft Consensus Algorithm 🌟 etcd is a “distributed reliable key-value store for the most critical data of a distributed system”. It uses the Raft consensus algorithm which was designed to be easy to understand, to scale, and to operate. The protocol and the etcd implementation were very quickly adopted by large distributed systems like Kubernetes, large distributed databases or messaging frameworks, where consensus and strong consistency is a must.

PaaS

Micro Frontend Architecture

Modular Monolith

From Java EE To Cloud Native

Monolith to Microservices Using the Strangler Pattern

Openshift VS Kubernetes

Career Path

Full Stack Developer's Roadmap

Software Development Models

Software Development Tools

vFunction. A system to transform monolithic Java applications into microservices

Software in Automotive Industry

Bunch of Images

??? note "Click to expand!"

<center>

[![microservices infographic](images/microservices-infographic.png)](https://www.weave.works/technologies/going-cloud-native-6-essential-things-you-need-to-know)

[![you dont need kubenetes](images/you_dont_need_kubernetes.jpg)](https://twitter.com/a_sykim)

[![sw consumers](images/softwareconsumers-1.png)](https://thenewstack.io/operators-and-sidecars-are-the-new-model-for-software-delivery)

[![Openshift SaaS VS Kubernetes SaaS](images/openshift-vs-kubernetes-saas.png)](https://proteon.com/2018/10/18/openshift-in-a-world-of-kubernetes-as-a-service/)

[![Openshift VS Kubernetes](images/openshift_vs_kubernetes.jpeg)](https://www.linkedin.com/feed/update/urn:li:activity:6459657167300583424)

[![Kubernetes on its own is not enough](images/k8s-not-enough.jpg)](https://twitter.com/brendandburns)

[![how mature is your microservices architecture](images/MicroservicesMaturityMatrix.jpg)](https://blog.container-solutions.com/how-mature-is-your-microservices-architecture)
</center>

Videos

Click to expand!

Tweets

Click to expand!

Questions to quickly spot red flags of a software project:

- how long does the CI pipeline take?
- how long is the onboarding process?
- how short are the working cycles?
- what type of tests are integrated in the QA?
- is there any micromanagement?

What else would you add?

— Daniel Moka (@dmokafa) February 7, 2021
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THREAD

The @Learnk8s Twitter account is expanding!

Starting today you will be able to follow 4x more news:

- Security focus Kubernetes news
- Kubernetes for devs and architects
- Job offers
- And … a surprise (read on)

Let me explain pic.twitter.com/pAQJYw8Fn6

— Daniele Polencic (@danielepolencic) May 3, 2021
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just read the words "large monoliths are unmaintainable"

NO

poorly structured systems are unmaintainable, regardless of the cardinality of their deployment topology

— Matt Stine (@mstine) May 6, 2021
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Micro Services Architecture Vs Monolith Architecture:

🧵👇🏻 pic.twitter.com/8W8Nvi9eJk

— Sunil Kumar (@sunilc_) June 5, 2021
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You don't need access to a credit card or AWS account in order to learn more about DevOps.

Start for free with Docker and GitHub.

Spend time to learn how to set up docker files and combine them with GitHub actions to automate your build process.

— Danny (@dannysteenman) July 19, 2021
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Everyone sensible in IT has been saying for years that if you buy COTS (commercial off-the-shelf software packages) you shouldnt customize it - its wildly expensive and you end up with something hard to maintain and almost impossible to upgrade.

— Jez Humble (@jezhumble) August 4, 2021
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COTS is for business processes that arent strategic to your org. So you should MODIFY YOUR BUSINESS PROCESS TO FIT WHAT THE SOFTWARE DOES OUT OF THE BOX! Sorry for shouting, Im old.

— Jez Humble (@jezhumble) August 4, 2021
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The top 5 most widely used Cloud platforms according to the Stack Overflow Developer survey 2021:

1. AWS - 59%
2. Azure - 32%
3. GCP - 29%
4. Heroku - 21%
5. DigitalOcean - 18% pic.twitter.com/56cqg70gZo

— Danny  (@dannysteenman) August 25, 2021
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💫 Cloud Knowledge 101

☁️ Public vs. Private vs. Hybrid Cloud ☁️

A quick comparison of these concepts 🧵👇

— Simon ☁️ (@simonholdorf) September 26, 2021
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