Alternatives to Cockpit logo

Alternatives to Cockpit

Strapi, Webmin, Portainer, Netdata, and Ansible are the most popular alternatives and competitors to Cockpit.
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234
+ 1
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What is Cockpit and what are its top alternatives?

An API-driven CMS without forcing you to make compromises in how you implement your site. The CMS for developers. Manage content like collections, regions, forms and galleries which you can reuse anywhere on your website.
Cockpit is a tool in the Cloud Content Management System category of a tech stack.
Cockpit is an open source tool with GitHub stars and GitHub forks. Here’s a link to Cockpit's open source repository on GitHub

Top Alternatives to Cockpit

  • Strapi
    Strapi

    Strapi is100% JavaScript, extensible, and fully customizable. It enables developers to build projects faster by providing a customizable API out of the box and giving them the freedom to use the their favorite tools. ...

  • Webmin
    Webmin

    It is a web-based interface for system administration for Unix. Using any modern web browser, you can setup user accounts, Apache, DNS, file sharing and much more. It removes the need to manually edit Unix configuration files. ...

  • Portainer
    Portainer

    It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code. ...

  • Netdata
    Netdata

    Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps ...

  • Ansible
    Ansible

    Ansible is an IT automation tool. It can configure systems, deploy software, and orchestrate more advanced IT tasks such as continuous deployments or zero downtime rolling updates. Ansible’s goals are foremost those of simplicity and maximum ease of use. ...

  • Directus
    Directus

    Let's say you're planning on managing content for a website, native app, and widget. Instead of using a CMS that's baked into the website client, it makes more sense to decouple your content entirely and access it through an API or SDK. That's a headless CMS. That's Directus. ...

  • JavaScript
    JavaScript

    JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles. ...

  • Git
    Git

    Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency. ...

Cockpit alternatives & related posts

Strapi logo

Strapi

683
1.3K
277
The leading open-source Headless-CMS
683
1.3K
+ 1
277
PROS OF STRAPI
  • 58
    Free
  • 39
    Open source
  • 28
    Self-hostable
  • 27
    Rapid development
  • 25
    API-based cms
  • 21
    Headless
  • 18
    Real-time
  • 16
    Easy setup
  • 13
    Large community
  • 13
    JSON
  • 6
    GraphQL
  • 4
    Social Auth
  • 4
    Internationalization
  • 2
    Components
  • 2
    Media Library
  • 1
    Raspberry pi
CONS OF STRAPI
  • 9
    Can be limiting
  • 8
    Internationalisation
  • 6
    A bit buggy
  • 5
    DB Migrations not seemless

related Strapi posts

Hi Stackers, We are planning to build a product information portal that also provides useful articles and blogs. Application Frontend is going to be built on Next.js with Authentication and Product Database helped by Firebase. But for the Blog / Article we are debating between WordPress/GraphQL plug-in or Strapi.

Please share your thoughts.

See more

Hi, I went through a comprehensive analysis - of headless/api content management systems - essentially to store content "bits" and publish them where needed (website, 3rd party sites, social media, etc.). I had considered many other solutions but ultimately chose Directus. I believe that was a good choice.

I had strongly considered Contentful, Strapi, Sanity, and hygraph. Hygraph came in #2 and contentful #3.

Ultimately I liked directus for:

(1) time in business

(2) open source

(3) integration with n8n and Pipedream

(4) pricing

(5) extensibility

Thoughts? Was this a good choice? We have many WordPress sites we're not (at least now) looking to replace with Directus, but instead to push to.

I'd love some feedback.

See more
Webmin logo

Webmin

72
164
13
A web-based system configuration tool
72
164
+ 1
13
PROS OF WEBMIN
  • 3
    Review real-time resources (cpu, mem, stg, proc)
  • 2
    Easy to use
  • 2
    Virtualmin
  • 2
    Free
  • 1
    DNS Zone Editor
  • 1
    Modify ports and usage
  • 1
    Extensible and flexible
  • 1
    Modify applications
CONS OF WEBMIN
    Be the first to leave a con

    related Webmin posts

    Portainer logo

    Portainer

    487
    827
    144
    Open source tool for managing containerized applications
    487
    827
    + 1
    144
    PROS OF PORTAINER
    • 36
      Simple
    • 27
      Great UI
    • 19
      Friendly
    • 12
      Easy to setup, gives a practical interface for Docker
    • 11
      Fully featured
    • 11
      Because it just works, super simple yet powerful
    • 9
      A must for Docker DevOps
    • 7
      Free and opensource
    • 5
      It's simple, fast and the support is great
    • 5
      API
    • 4
      Template Support
    CONS OF PORTAINER
      Be the first to leave a con

      related Portainer posts

      Wallace Alves
      Cyber Security Analyst · | 2 upvotes · 861.8K views

      Docker Docker Compose Portainer ELK Elasticsearch Kibana Logstash nginx

      See more
      Charles Coleman
      President/CEO at Rapidfyre · | 2 upvotes · 284.4K views
      Shared insights
      on
      PortainerPortainerDockerDocker

      I've found Portainer to be a like the 8 tooled jacknife I need for Docker and am loving it. Wasn't hard to get up and going and is well rounded enough to do everything I need. Win win.

      See more
      Netdata logo

      Netdata

      226
      390
      82
      Monitor your servers, containers, and applications, in high-resolution and in real-time
      226
      390
      + 1
      82
      PROS OF NETDATA
      • 17
        Free
      • 14
        Easy setup
      • 12
        Graphs are interactive
      • 9
        Montiors datasbases
      • 9
        Well maintained on github
      • 8
        Monitors nginx, redis, logs
      • 4
        Can submit metrics to Time Series databases
      • 3
        Open source
      • 2
        Easy Alert Setop
      • 2
        Netdata is also a statsd server
      • 1
        Written in C
      • 1
        GPLv3
      • 0
        Zabbix
      CONS OF NETDATA
        Be the first to leave a con

        related Netdata posts

        Ansible logo

        Ansible

        18.9K
        15.3K
        1.3K
        Radically simple configuration-management, application deployment, task-execution, and multi-node orchestration engine
        18.9K
        15.3K
        + 1
        1.3K
        PROS OF ANSIBLE
        • 284
          Agentless
        • 210
          Great configuration
        • 199
          Simple
        • 176
          Powerful
        • 155
          Easy to learn
        • 69
          Flexible
        • 55
          Doesn't get in the way of getting s--- done
        • 35
          Makes sense
        • 30
          Super efficient and flexible
        • 27
          Powerful
        • 11
          Dynamic Inventory
        • 9
          Backed by Red Hat
        • 7
          Works with AWS
        • 6
          Cloud Oriented
        • 6
          Easy to maintain
        • 4
          Vagrant provisioner
        • 4
          Simple and powerful
        • 4
          Multi language
        • 4
          Simple
        • 4
          Because SSH
        • 4
          Procedural or declarative, or both
        • 4
          Easy
        • 3
          Consistency
        • 2
          Well-documented
        • 2
          Masterless
        • 2
          Debugging is simple
        • 2
          Merge hash to get final configuration similar to hiera
        • 2
          Fast as hell
        • 1
          Manage any OS
        • 1
          Work on windows, but difficult to manage
        • 1
          Certified Content
        CONS OF ANSIBLE
        • 8
          Dangerous
        • 5
          Hard to install
        • 3
          Doesn't Run on Windows
        • 3
          Bloated
        • 3
          Backward compatibility
        • 2
          No immutable infrastructure

        related Ansible posts

        Tymoteusz Paul
        Devops guy at X20X Development LTD · | 23 upvotes · 8.9M views

        Often enough I have to explain my way of going about setting up a CI/CD pipeline with multiple deployment platforms. Since I am a bit tired of yapping the same every single time, I've decided to write it up and share with the world this way, and send people to read it instead ;). I will explain it on "live-example" of how the Rome got built, basing that current methodology exists only of readme.md and wishes of good luck (as it usually is ;)).

        It always starts with an app, whatever it may be and reading the readmes available while Vagrant and VirtualBox is installing and updating. Following that is the first hurdle to go over - convert all the instruction/scripts into Ansible playbook(s), and only stopping when doing a clear vagrant up or vagrant reload we will have a fully working environment. As our Vagrant environment is now functional, it's time to break it! This is the moment to look for how things can be done better (too rigid/too lose versioning? Sloppy environment setup?) and replace them with the right way to do stuff, one that won't bite us in the backside. This is the point, and the best opportunity, to upcycle the existing way of doing dev environment to produce a proper, production-grade product.

        I should probably digress here for a moment and explain why. I firmly believe that the way you deploy production is the same way you should deploy develop, shy of few debugging-friendly setting. This way you avoid the discrepancy between how production work vs how development works, which almost always causes major pains in the back of the neck, and with use of proper tools should mean no more work for the developers. That's why we start with Vagrant as developer boxes should be as easy as vagrant up, but the meat of our product lies in Ansible which will do meat of the work and can be applied to almost anything: AWS, bare metal, docker, LXC, in open net, behind vpn - you name it.

        We must also give proper consideration to monitoring and logging hoovering at this point. My generic answer here is to grab Elasticsearch, Kibana, and Logstash. While for different use cases there may be better solutions, this one is well battle-tested, performs reasonably and is very easy to scale both vertically (within some limits) and horizontally. Logstash rules are easy to write and are well supported in maintenance through Ansible, which as I've mentioned earlier, are at the very core of things, and creating triggers/reports and alerts based on Elastic and Kibana is generally a breeze, including some quite complex aggregations.

        If we are happy with the state of the Ansible it's time to move on and put all those roles and playbooks to work. Namely, we need something to manage our CI/CD pipelines. For me, the choice is obvious: TeamCity. It's modern, robust and unlike most of the light-weight alternatives, it's transparent. What I mean by that is that it doesn't tell you how to do things, doesn't limit your ways to deploy, or test, or package for that matter. Instead, it provides a developer-friendly and rich playground for your pipelines. You can do most the same with Jenkins, but it has a quite dated look and feel to it, while also missing some key functionality that must be brought in via plugins (like quality REST API which comes built-in with TeamCity). It also comes with all the common-handy plugins like Slack or Apache Maven integration.

        The exact flow between CI and CD varies too greatly from one application to another to describe, so I will outline a few rules that guide me in it: 1. Make build steps as small as possible. This way when something breaks, we know exactly where, without needing to dig and root around. 2. All security credentials besides development environment must be sources from individual Vault instances. Keys to those containers should exist only on the CI/CD box and accessible by a few people (the less the better). This is pretty self-explanatory, as anything besides dev may contain sensitive data and, at times, be public-facing. Because of that appropriate security must be present. TeamCity shines in this department with excellent secrets-management. 3. Every part of the build chain shall consume and produce artifacts. If it creates nothing, it likely shouldn't be its own build. This way if any issue shows up with any environment or version, all developer has to do it is grab appropriate artifacts to reproduce the issue locally. 4. Deployment builds should be directly tied to specific Git branches/tags. This enables much easier tracking of what caused an issue, including automated identifying and tagging the author (nothing like automated regression testing!).

        Speaking of deployments, I generally try to keep it simple but also with a close eye on the wallet. Because of that, I am more than happy with AWS or another cloud provider, but also constantly peeking at the loads and do we get the value of what we are paying for. Often enough the pattern of use is not constantly erratic, but rather has a firm baseline which could be migrated away from the cloud and into bare metal boxes. That is another part where this approach strongly triumphs over the common Docker and CircleCI setup, where you are very much tied in to use cloud providers and getting out is expensive. Here to embrace bare-metal hosting all you need is a help of some container-based self-hosting software, my personal preference is with Proxmox and LXC. Following that all you must write are ansible scripts to manage hardware of Proxmox, similar way as you do for Amazon EC2 (ansible supports both greatly) and you are good to go. One does not exclude another, quite the opposite, as they can live in great synergy and cut your costs dramatically (the heavier your base load, the bigger the savings) while providing production-grade resiliency.

        See more
        Sebastian Gębski

        Heroku was a decent choice to start a business, but at some point our platform was too big, too complex & too heterogenic, so Heroku started to be a constraint, not a benefit. First, we've started containerizing our apps with Docker to eliminate "works in my machine" syndrome & uniformize the environment setup. The first orchestration was composed with Docker Compose , but at some point it made sense to move it to Kubernetes. Fortunately, we've made a very good technical decision when starting our work with containers - all the container configuration & provisions HAD (since the beginning) to be done in code (Infrastructure as Code) - we've used Terraform & Ansible for that (correspondingly). This general trend of containerisation was accompanied by another, parallel & equally big project: migrating environments from Heroku to AWS: using Amazon EC2 , Amazon EKS, Amazon S3 & Amazon RDS.

        See more
        Directus logo

        Directus

        148
        303
        44
        Free and Open-Source Headless CMS
        148
        303
        + 1
        44
        PROS OF DIRECTUS
        • 11
          Open Source
        • 10
          API-based CMS
        • 8
          Self-hostable
        • 4
          Version 9 is Javascript Based
        • 2
          Graphql
        • 1
          Data visualizations
        • 1
          Flows
        • 1
          User permissisons
        • 1
          User roles
        • 1
          Components
        • 1
          Modular
        • 1
          Responsiveness
        • 1
          Useful API
        • 1
          Metrics
        CONS OF DIRECTUS
        • 4
          Php based

        related Directus posts

        Hi, I went through a comprehensive analysis - of headless/api content management systems - essentially to store content "bits" and publish them where needed (website, 3rd party sites, social media, etc.). I had considered many other solutions but ultimately chose Directus. I believe that was a good choice.

        I had strongly considered Contentful, Strapi, Sanity, and hygraph. Hygraph came in #2 and contentful #3.

        Ultimately I liked directus for:

        (1) time in business

        (2) open source

        (3) integration with n8n and Pipedream

        (4) pricing

        (5) extensibility

        Thoughts? Was this a good choice? We have many WordPress sites we're not (at least now) looking to replace with Directus, but instead to push to.

        I'd love some feedback.

        See more
        JavaScript logo

        JavaScript

        354.2K
        269.3K
        8.1K
        Lightweight, interpreted, object-oriented language with first-class functions
        354.2K
        269.3K
        + 1
        8.1K
        PROS OF JAVASCRIPT
        • 1.7K
          Can be used on frontend/backend
        • 1.5K
          It's everywhere
        • 1.2K
          Lots of great frameworks
        • 897
          Fast
        • 745
          Light weight
        • 425
          Flexible
        • 392
          You can't get a device today that doesn't run js
        • 286
          Non-blocking i/o
        • 237
          Ubiquitousness
        • 191
          Expressive
        • 55
          Extended functionality to web pages
        • 49
          Relatively easy language
        • 46
          Executed on the client side
        • 30
          Relatively fast to the end user
        • 25
          Pure Javascript
        • 21
          Functional programming
        • 15
          Async
        • 13
          Full-stack
        • 12
          Setup is easy
        • 12
          Future Language of The Web
        • 12
          Its everywhere
        • 11
          Because I love functions
        • 11
          JavaScript is the New PHP
        • 10
          Like it or not, JS is part of the web standard
        • 9
          Expansive community
        • 9
          Everyone use it
        • 9
          Can be used in backend, frontend and DB
        • 9
          Easy
        • 8
          Most Popular Language in the World
        • 8
          Powerful
        • 8
          Can be used both as frontend and backend as well
        • 8
          For the good parts
        • 8
          No need to use PHP
        • 8
          Easy to hire developers
        • 7
          Agile, packages simple to use
        • 7
          Love-hate relationship
        • 7
          Photoshop has 3 JS runtimes built in
        • 7
          Evolution of C
        • 7
          It's fun
        • 7
          Hard not to use
        • 7
          Versitile
        • 7
          Its fun and fast
        • 7
          Nice
        • 7
          Popularized Class-Less Architecture & Lambdas
        • 7
          Supports lambdas and closures
        • 6
          It let's me use Babel & Typescript
        • 6
          Can be used on frontend/backend/Mobile/create PRO Ui
        • 6
          1.6K Can be used on frontend/backend
        • 6
          Client side JS uses the visitors CPU to save Server Res
        • 6
          Easy to make something
        • 5
          Clojurescript
        • 5
          Promise relationship
        • 5
          Stockholm Syndrome
        • 5
          Function expressions are useful for callbacks
        • 5
          Scope manipulation
        • 5
          Everywhere
        • 5
          Client processing
        • 5
          What to add
        • 4
          Because it is so simple and lightweight
        • 4
          Only Programming language on browser
        • 1
          Test
        • 1
          Hard to learn
        • 1
          Test2
        • 1
          Not the best
        • 1
          Easy to understand
        • 1
          Subskill #4
        • 1
          Easy to learn
        • 0
          Hard 彤
        CONS OF JAVASCRIPT
        • 22
          A constant moving target, too much churn
        • 20
          Horribly inconsistent
        • 15
          Javascript is the New PHP
        • 9
          No ability to monitor memory utilitization
        • 8
          Shows Zero output in case of ANY error
        • 7
          Thinks strange results are better than errors
        • 6
          Can be ugly
        • 3
          No GitHub
        • 2
          Slow
        • 0
          HORRIBLE DOCUMENTS, faulty code, repo has bugs

        related JavaScript posts

        Zach Holman

        Oof. I have truly hated JavaScript for a long time. Like, for over twenty years now. Like, since the Clinton administration. It's always been a nightmare to deal with all of the aspects of that silly language.

        But wowza, things have changed. Tooling is just way, way better. I'm primarily web-oriented, and using React and Apollo together the past few years really opened my eyes to building rich apps. And I deeply apologize for using the phrase rich apps; I don't think I've ever said such Enterprisey words before.

        But yeah, things are different now. I still love Rails, and still use it for a lot of apps I build. But it's that silly rich apps phrase that's the problem. Users have way more comprehensive expectations than they did even five years ago, and the JS community does a good job at building tools and tech that tackle the problems of making heavy, complicated UI and frontend work.

        Obviously there's a lot of things happening here, so just saying "JavaScript isn't terrible" might encompass a huge amount of libraries and frameworks. But if you're like me, yeah, give things another shot- I'm somehow not hating on JavaScript anymore and... gulp... I kinda love it.

        See more
        Conor Myhrvold
        Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 11.2M views

        How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

        Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

        Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

        https://eng.uber.com/distributed-tracing/

        (GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

        Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

        See more
        Git logo

        Git

        293.3K
        175.6K
        6.6K
        Fast, scalable, distributed revision control system
        293.3K
        175.6K
        + 1
        6.6K
        PROS OF GIT
        • 1.4K
          Distributed version control system
        • 1.1K
          Efficient branching and merging
        • 959
          Fast
        • 845
          Open source
        • 726
          Better than svn
        • 368
          Great command-line application
        • 306
          Simple
        • 291
          Free
        • 232
          Easy to use
        • 222
          Does not require server
        • 27
          Distributed
        • 22
          Small & Fast
        • 18
          Feature based workflow
        • 15
          Staging Area
        • 13
          Most wide-spread VSC
        • 11
          Role-based codelines
        • 11
          Disposable Experimentation
        • 7
          Frictionless Context Switching
        • 6
          Data Assurance
        • 5
          Efficient
        • 4
          Just awesome
        • 3
          Github integration
        • 3
          Easy branching and merging
        • 2
          Compatible
        • 2
          Flexible
        • 2
          Possible to lose history and commits
        • 1
          Rebase supported natively; reflog; access to plumbing
        • 1
          Light
        • 1
          Team Integration
        • 1
          Fast, scalable, distributed revision control system
        • 1
          Easy
        • 1
          Flexible, easy, Safe, and fast
        • 1
          CLI is great, but the GUI tools are awesome
        • 1
          It's what you do
        • 0
          Phinx
        CONS OF GIT
        • 16
          Hard to learn
        • 11
          Inconsistent command line interface
        • 9
          Easy to lose uncommitted work
        • 7
          Worst documentation ever possibly made
        • 5
          Awful merge handling
        • 3
          Unexistent preventive security flows
        • 3
          Rebase hell
        • 2
          When --force is disabled, cannot rebase
        • 2
          Ironically even die-hard supporters screw up badly
        • 1
          Doesn't scale for big data

        related Git posts

        Simon Reymann
        Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 9.9M views

        Our whole DevOps stack consists of the following tools:

        • GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
        • Respectively Git as revision control system
        • SourceTree as Git GUI
        • Visual Studio Code as IDE
        • CircleCI for continuous integration (automatize development process)
        • Prettier / TSLint / ESLint as code linter
        • SonarQube as quality gate
        • Docker as container management (incl. Docker Compose for multi-container application management)
        • VirtualBox for operating system simulation tests
        • Kubernetes as cluster management for docker containers
        • Heroku for deploying in test environments
        • nginx as web server (preferably used as facade server in production environment)
        • SSLMate (using OpenSSL) for certificate management
        • Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
        • PostgreSQL as preferred database system
        • Redis as preferred in-memory database/store (great for caching)

        The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

        • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
        • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
        • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
        • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
        • Scalability: All-in-one framework for distributed systems.
        • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
        See more
        Tymoteusz Paul
        Devops guy at X20X Development LTD · | 23 upvotes · 8.9M views

        Often enough I have to explain my way of going about setting up a CI/CD pipeline with multiple deployment platforms. Since I am a bit tired of yapping the same every single time, I've decided to write it up and share with the world this way, and send people to read it instead ;). I will explain it on "live-example" of how the Rome got built, basing that current methodology exists only of readme.md and wishes of good luck (as it usually is ;)).

        It always starts with an app, whatever it may be and reading the readmes available while Vagrant and VirtualBox is installing and updating. Following that is the first hurdle to go over - convert all the instruction/scripts into Ansible playbook(s), and only stopping when doing a clear vagrant up or vagrant reload we will have a fully working environment. As our Vagrant environment is now functional, it's time to break it! This is the moment to look for how things can be done better (too rigid/too lose versioning? Sloppy environment setup?) and replace them with the right way to do stuff, one that won't bite us in the backside. This is the point, and the best opportunity, to upcycle the existing way of doing dev environment to produce a proper, production-grade product.

        I should probably digress here for a moment and explain why. I firmly believe that the way you deploy production is the same way you should deploy develop, shy of few debugging-friendly setting. This way you avoid the discrepancy between how production work vs how development works, which almost always causes major pains in the back of the neck, and with use of proper tools should mean no more work for the developers. That's why we start with Vagrant as developer boxes should be as easy as vagrant up, but the meat of our product lies in Ansible which will do meat of the work and can be applied to almost anything: AWS, bare metal, docker, LXC, in open net, behind vpn - you name it.

        We must also give proper consideration to monitoring and logging hoovering at this point. My generic answer here is to grab Elasticsearch, Kibana, and Logstash. While for different use cases there may be better solutions, this one is well battle-tested, performs reasonably and is very easy to scale both vertically (within some limits) and horizontally. Logstash rules are easy to write and are well supported in maintenance through Ansible, which as I've mentioned earlier, are at the very core of things, and creating triggers/reports and alerts based on Elastic and Kibana is generally a breeze, including some quite complex aggregations.

        If we are happy with the state of the Ansible it's time to move on and put all those roles and playbooks to work. Namely, we need something to manage our CI/CD pipelines. For me, the choice is obvious: TeamCity. It's modern, robust and unlike most of the light-weight alternatives, it's transparent. What I mean by that is that it doesn't tell you how to do things, doesn't limit your ways to deploy, or test, or package for that matter. Instead, it provides a developer-friendly and rich playground for your pipelines. You can do most the same with Jenkins, but it has a quite dated look and feel to it, while also missing some key functionality that must be brought in via plugins (like quality REST API which comes built-in with TeamCity). It also comes with all the common-handy plugins like Slack or Apache Maven integration.

        The exact flow between CI and CD varies too greatly from one application to another to describe, so I will outline a few rules that guide me in it: 1. Make build steps as small as possible. This way when something breaks, we know exactly where, without needing to dig and root around. 2. All security credentials besides development environment must be sources from individual Vault instances. Keys to those containers should exist only on the CI/CD box and accessible by a few people (the less the better). This is pretty self-explanatory, as anything besides dev may contain sensitive data and, at times, be public-facing. Because of that appropriate security must be present. TeamCity shines in this department with excellent secrets-management. 3. Every part of the build chain shall consume and produce artifacts. If it creates nothing, it likely shouldn't be its own build. This way if any issue shows up with any environment or version, all developer has to do it is grab appropriate artifacts to reproduce the issue locally. 4. Deployment builds should be directly tied to specific Git branches/tags. This enables much easier tracking of what caused an issue, including automated identifying and tagging the author (nothing like automated regression testing!).

        Speaking of deployments, I generally try to keep it simple but also with a close eye on the wallet. Because of that, I am more than happy with AWS or another cloud provider, but also constantly peeking at the loads and do we get the value of what we are paying for. Often enough the pattern of use is not constantly erratic, but rather has a firm baseline which could be migrated away from the cloud and into bare metal boxes. That is another part where this approach strongly triumphs over the common Docker and CircleCI setup, where you are very much tied in to use cloud providers and getting out is expensive. Here to embrace bare-metal hosting all you need is a help of some container-based self-hosting software, my personal preference is with Proxmox and LXC. Following that all you must write are ansible scripts to manage hardware of Proxmox, similar way as you do for Amazon EC2 (ansible supports both greatly) and you are good to go. One does not exclude another, quite the opposite, as they can live in great synergy and cut your costs dramatically (the heavier your base load, the bigger the savings) while providing production-grade resiliency.

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