Alternatives to Postico logo

Alternatives to Postico

TablePlus, PSequel, DBeaver, DataGrip, and Sequel Pro are the most popular alternatives and competitors to Postico.
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What is Postico and what are its top alternatives?

Postico is a popular macOS application for managing PostgreSQL databases. It offers a user-friendly interface with features like query editor, table management, data visualization, and query history. However, Postico has limitations such as being exclusive to macOS and lacking some advanced database administration tools.

  1. DBeaver: DBeaver is a cross-platform database tool that supports various databases, including PostgreSQL. It features SQL editor, data viewer, ERD designer, and supports multiple connections. Pros: Cross-platform compatibility, extensive features. Cons: Steeper learning curve compared to Postico.
  2. pgAdmin: pgAdmin is the official administration tool for PostgreSQL. It offers features like query editor, server monitoring, and database management. Pros: Official tool with extensive features. Cons: Interface can be overwhelming for beginners.
  3. DataGrip: DataGrip is a database IDE from JetBrains that supports PostgreSQL and other databases. It offers code completion, data analysis, and version control integration. Pros: Integration with other JetBrains tools, powerful features. Cons: Paid software with a learning curve.
  4. SQLPro for Postgres: SQLPro is a lightweight macOS tool for managing PostgreSQL databases. It offers a clean interface, query editor, and schema navigation. Pros: Lightweight and fast. Cons: Limited features compared to other tools.
  5. Adminer: Adminer is a lightweight database management tool that supports PostgreSQL and other databases. It is a single PHP file that can be easily installed and used. Pros: Lightweight and easy to set up. Cons: Minimalistic interface with fewer advanced features.
  6. Navicat: Navicat is a database management tool that supports PostgreSQL and other databases. It offers features like data modeling, data transfer, and SQL automation. Pros: User-friendly interface, powerful data manipulation tools. Cons: Paid software with limited free version.
  7. HeidiSQL: HeidiSQL is an open-source database management tool that supports PostgreSQL and other databases. It offers features like query builder, data editing, and database browsing. Pros: Open-source and free to use. Cons: Windows-only application.
  8. TablePlus: TablePlus is a modern database management tool that supports PostgreSQL and other databases. It offers features like multiple tabs, code review, and SSH tunneling. Pros: Modern interface, collaborative features. Cons: Paid software with limited free version.
  9. SQL Workbench/J: SQL Workbench/J is a cross-platform SQL tool that supports PostgreSQL and other databases. It offers features like syntax highlighting, data export/import, and script execution. Pros: Cross-platform compatibility, customizable interface. Cons: Steep learning curve for beginners.
  10. Beekeeper Studio: Beekeeper Studio is a free and open-source database management tool that supports PostgreSQL and other databases. It offers features like query editor, schema browser, and data visualization. Pros: Free and open-source, intuitive interface. Cons: Limited advanced features compared to paid tools.

Top Alternatives to Postico

  • TablePlus
    TablePlus

    TablePlus is a native app which helps you easily edit database data and structure. TablePlus includes many security features to protect your database, including native libssh and TLS to encrypt your connection. ...

  • PSequel
    PSequel

    Designed for Yosemite. Written in Swift. PSequel provides a clean and simple interface to perform common PostgreSQL tasks quickly. ...

  • DBeaver
    DBeaver

    It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc. ...

  • DataGrip
    DataGrip

    A cross-platform IDE that is aimed at DBAs and developers working with SQL databases. ...

  • Sequel Pro
    Sequel Pro

    Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases. ...

  • 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. ...

  • GitHub
    GitHub

    GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together. ...

Postico alternatives & related posts

TablePlus logo

TablePlus

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Easily edit database data and structure
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PROS OF TABLEPLUS
  • 5
    Great tool, sleek UI, run fast and secure connections
  • 3
    Free
  • 2
    Perfect for develop use
  • 1
    Security
CONS OF TABLEPLUS
    Be the first to leave a con

    related TablePlus posts

    PSequel logo

    PSequel

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    A free PostgreSQL GUI Tool for Mac OS X
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    PROS OF PSEQUEL
    • 3
      Free
    • 3
      Simplest Postgres client
    • 3
      Doesn't try to upsell you with premium features
    CONS OF PSEQUEL
    • 2
      No CSV export

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    DBeaver logo

    DBeaver

    521
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    A Universal Database Tool
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    PROS OF DBEAVER
    • 21
      Free
    • 13
      Platform independent
    • 9
      Automatic driver download
    • 7
      Import-Export Data
    • 6
      Simple to use
    • 4
      Move data between databases
    • 4
      Wide range of DBMS support
    • 1
      SAP Hana DB support
    • 1
      Themes
    CONS OF DBEAVER
      Be the first to leave a con

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      Manikandan Shanmugam
      Software Engineer at Blitzscaletech Software Solution · | 4 upvotes · 1.3M views
      Shared insights
      on
      AzureDataStudioAzureDataStudioDBeaverDBeaver

      Which tools are preferred if I choose to work on more data side? Which one is good if I decide to work on web development? I'm using DBeaver and am now considering a move to AzureDataStudio to break the monotony while working. I would like to hear your opinion. Which one are you using, and what are the things you are missing in dbeaver or data studio.

      See more
      DataGrip logo

      DataGrip

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      A database IDE for professional SQL developers
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      PROS OF DATAGRIP
      • 4
        Works on Linux, Windows and MacOS
      • 3
        Code analysis
      • 2
        Diff viewer
      • 2
        Wide range of DBMS support
      • 1
        Generate ERD
      • 1
        Quick-fixes using keyboard shortcuts
      • 1
        Database introspection on 21 different dbms
      • 1
        Export data using a variety of formats using open api
      • 1
        Import data
      • 1
        Code completion
      CONS OF DATAGRIP
        Be the first to leave a con

        related DataGrip posts

        Sequel Pro logo

        Sequel Pro

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        MySQL database management for Mac OS X
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        PROS OF SEQUEL PRO
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          Free
        • 18
          Simple
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          Clean UI
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          Easy
        CONS OF SEQUEL PRO
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        JavaScript logo

        JavaScript

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          Fast
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          Light weight
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          Flexible
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          You can't get a device today that doesn't run js
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          Non-blocking i/o
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          Ubiquitousness
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          Expressive
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          Extended functionality to web pages
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          Relatively easy language
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          Executed on the client side
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          Relatively fast to the end user
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          Setup is easy
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          Its everywhere
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          Because I love functions
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          JavaScript is the New PHP
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          Like it or not, JS is part of the web standard
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          Everyone use it
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          Expansive community
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          Easy
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          Can be used in backend, frontend and DB
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          Easy to hire developers
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          No need to use PHP
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          For the good parts
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          Can be used both as frontend and backend as well
        • 8
          Powerful
        • 8
          Most Popular Language in the World
        • 7
          Evolution of C
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          Hard not to use
        • 7
          Versitile
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          Its fun and fast
        • 7
          Supports lambdas and closures
        • 7
          Love-hate relationship
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          Photoshop has 3 JS runtimes built in
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          Nice
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          It's fun
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          Popularized Class-Less Architecture & Lambdas
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          Agile, packages simple to use
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          Can be used on frontend/backend/Mobile/create PRO Ui
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          1.6K Can be used on frontend/backend
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          Client side JS uses the visitors CPU to save Server Res
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          It let's me use Babel & Typescript
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          Easy to make something
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          Client processing
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          Everywhere
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          Scope manipulation
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          Function expressions are useful for callbacks
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          Stockholm Syndrome
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          Promise relationship
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          Clojurescript
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          What to add
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          Only Programming language on browser
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          Because it is so simple and lightweight
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          Easy to understand
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          Test
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          Subskill #4
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          Easy to learn
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          Not the best
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          Hard 彤
        CONS OF JAVASCRIPT
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          A constant moving target, too much churn
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          Horribly inconsistent
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          Javascript is the New PHP
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          No ability to monitor memory utilitization
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          Shows Zero output in case of ANY error
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          Thinks strange results are better than errors
        • 6
          Can be ugly
        • 3
          No GitHub
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          Slow
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        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

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          Efficient branching and merging
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          Fast
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          Open source
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          Better than svn
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          Great command-line application
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          Free
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          Easy to use
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          Does not require server
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          Small & Fast
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          Feature based workflow
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          Staging Area
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          Most wide-spread VSC
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          Role-based codelines
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          Disposable Experimentation
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          Data Assurance
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          Efficient
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          Just awesome
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          Github integration
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          Easy branching and merging
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          Compatible
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          Flexible
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          Possible to lose history and commits
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          Rebase supported natively; reflog; access to plumbing
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          Light
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          Team Integration
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          Fast, scalable, distributed revision control system
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          Easy
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          Flexible, easy, Safe, and fast
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          CLI is great, but the GUI tools are awesome
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          Hard to learn
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          Inconsistent command line interface
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          Easy to lose uncommitted work
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          Unexistent preventive security flows
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          Rebase hell
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          Doesn't scale for big data

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        Simon Reymann
        Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 10M 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.
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        Tymoteusz Paul
        Devops guy at X20X Development LTD · | 23 upvotes · 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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        GitHub logo

        GitHub

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          Issue tracker
        • 486
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        • 147
          Just works
        • 132
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          Github Gists
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          Github pages
        • 83
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        • 56
          Network effect
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        • 34
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        • 30
          Great for collaboration
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        • 22
          Community SDK involvement
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          Learn from others source code
        • 16
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          CI Integration
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          Uses GIT
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        • 3
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          IAM
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          Leads the copycats
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          All in one development service
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          Free private repos
        • 2
          Free HTML hostings
        • 2
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          Easy source control and everything is backed up
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          IAM integration
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          Very Easy to Use
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          Good tools support
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          Issues tracker
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          Never dethroned
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          Self Hosted
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          Dasf
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        CONS OF GITHUB
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          Owned by micrcosoft
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          Expensive for lone developers that want private repos
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          Relatively slow product/feature release cadence
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          API scoping could be better
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          Only 3 collaborators for private repos
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          Limited featureset for issue management
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          Does not have a graph for showing history like git lens
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          GitHub Packages does not support SNAPSHOT versions
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          No multilingual interface
        • 1
          Takes a long time to commit
        • 1
          Expensive

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        Johnny Bell

        I was building a personal project that I needed to store items in a real time database. I am more comfortable with my Frontend skills than my backend so I didn't want to spend time building out anything in Ruby or Go.

        I stumbled on Firebase by #Google, and it was really all I needed. It had realtime data, an area for storing file uploads and best of all for the amount of data I needed it was free!

        I built out my application using tools I was familiar with, React for the framework, Redux.js to manage my state across components, and styled-components for the styling.

        Now as this was a project I was just working on in my free time for fun I didn't really want to pay for hosting. I did some research and I found Netlify. I had actually seen them at #ReactRally the year before and deployed a Gatsby site to Netlify already.

        Netlify was very easy to setup and link to my GitHub account you select a repo and pretty much with very little configuration you have a live site that will deploy every time you push to master.

        With the selection of these tools I was able to build out my application, connect it to a realtime database, and deploy to a live environment all with $0 spent.

        If you're looking to build out a small app I suggest giving these tools a go as you can get your idea out into the real world for absolutely no cost.

        See more

        Context: I wanted to create an end to end IoT data pipeline simulation in Google Cloud IoT Core and other GCP services. I never touched Terraform meaningfully until working on this project, and it's one of the best explorations in my development career. The documentation and syntax is incredibly human-readable and friendly. I'm used to building infrastructure through the google apis via Python , but I'm so glad past Sung did not make that decision. I was tempted to use Google Cloud Deployment Manager, but the templates were a bit convoluted by first impression. I'm glad past Sung did not make this decision either.

        Solution: Leveraging Google Cloud Build Google Cloud Run Google Cloud Bigtable Google BigQuery Google Cloud Storage Google Compute Engine along with some other fun tools, I can deploy over 40 GCP resources using Terraform!

        Check Out My Architecture: CLICK ME

        Check out the GitHub repo attached

        See more