Alternatives to UnQLite logo

Alternatives to UnQLite

SQLite, RocksDB, LevelDB, LiteDB, and MongoDB are the most popular alternatives and competitors to UnQLite.
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What is UnQLite and what are its top alternatives?

UnQLite is a lightweight, in-process database that allows storage and retrieval of data with ease. It provides a self-contained transactional database engine that requires zero configuration. Key features include ACID properties, support for multiple programming languages, high-performance, and simplicity. However, UnQLite has limitations such as lack of advanced querying capabilities and limited scalability for large datasets.

  1. SQLite: SQLite is a popular embedded database engine that is ACID-compliant and supports SQL queries. It is widely used and offers excellent performance and reliability. A major pro of SQLite is its compatibility with almost all programming languages, but a con is its lack of concurrent write support.

  2. LevelDB: LevelDB is a fast, key-value storage library developed by Google that provides ordered mapping from string keys to string values. It is optimized for performance and is efficient in storing large volumes of data. However, LevelDB lacks native SQL support and may require more set up compared to UnQLite.

  3. RocksDB: RocksDB is an embeddable persistent key-value store developed by Facebook based on LevelDB. It is optimized for fast storage and retrieval of data with low latency. Pros of RocksDB include high performance and scalability, but it may have a steeper learning curve compared to UnQLite.

  4. LMDB: Lightning Memory-Mapped Database (LMDB) is a high-performance, highly efficient key-value store library developed by Symas. LMDB offers ACID transactions and is known for its speed and low memory footprint. However, integrating LMDB may require additional effort compared to UnQLite.

  5. Berkeley DB: Oracle Berkeley DB is an embeddable database engine that provides key-value storage with ACID properties. It is a mature and reliable database solution, but may have licensing considerations and can be more complex to work with compared to UnQLite.

  6. Couchbase Lite: Couchbase Lite is a lightweight, NoSQL document database designed for mobile devices. It offers offline support, synchronization, and real-time updates. Pros of Couchbase Lite include its mobile-friendly design, but it may require more resources compared to UnQLite.

  7. BoltDB: BoltDB is an embedded key-value store written in Go that is easy to use and offers excellent performance. It is suitable for small to medium-sized datasets and is ACID-compliant. However, BoltDB may not be as feature-rich as UnQLite in terms of advanced querying capabilities.

  8. TiKV: TiKV is a distributed, transactional key-value store developed by PingCAP that is designed for cloud-native applications. It offers horizontal scalability, high availability, and strong consistency. Pros of TiKV include its distributed nature, but it may have a higher learning curve and complexity compared to UnQLite.

  9. CockroachDB: CockroachDB is a distributed SQL database that offers scalability, resilience, and consistency across multiple nodes. It is compatible with the PostgreSQL protocol and supports ACID transactions. However, setting up and managing CockroachDB may require more resources and expertise compared to UnQLite.

  10. DynamoDB: Amazon DynamoDB is a fully managed NoSQL database service that offers seamless scalability, high performance, and low latency. It is a serverless solution that can handle large workloads efficiently. Pros of DynamoDB include its managed nature, but pricing considerations and vendor lock-in are potential cons compared to self-hosted solutions like UnQLite.

Top Alternatives to UnQLite

  • SQLite
    SQLite

    SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file. ...

  • RocksDB
    RocksDB

    RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation. ...

  • LevelDB
    LevelDB

    It is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values. It has been ported to a variety of Unix-based systems, macOS, Windows, and Android. ...

  • LiteDB
    LiteDB

    Embedded NoSQL database for .NET. An open source MongoDB-like database with zero configuration - mobile ready ...

  • MongoDB
    MongoDB

    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding. ...

  • 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. ...

UnQLite alternatives & related posts

SQLite logo

SQLite

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A software library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine
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PROS OF SQLITE
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    Lightweight
  • 135
    Portable
  • 122
    Simple
  • 81
    Sql
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    Preinstalled on iOS and Android
  • 2
    Free
  • 2
    Tcl integration
  • 1
    Portable A database on my USB 'love it'
CONS OF SQLITE
  • 2
    Not for multi-process of multithreaded apps
  • 1
    Needs different binaries for each platform

related SQLite posts

Dimelo Waterson
Shared insights
on
PostgreSQLPostgreSQLMySQLMySQLSQLiteSQLite

I need to add a DBMS to my stack, but I don't know which. I'm tempted to learn SQLite since it would be useful to me with its focus on local access without concurrency. However, doing so feels like I would be defeating the purpose of trying to expand my skill set since it seems like most enterprise applications have the opposite requirements.

To be able to apply what I learn to more projects, what should I try to learn? MySQL? PostgreSQL? Something else? Is there a comfortable middle ground between high applicability and ease of use?

See more
Pran B.
Fullstack Developer at Growbox · | 6 upvotes · 276.8K views

Goal/Problem: A small mobile app (using Flutter ) for saving data offline ( some data offline) and rest data need to be synced with Cloud Firestore Tools: Cloud Firestore , SQLite Decision/Considering/Need suggestions: There is no state management in the app yet. There is a requirement to store some data offline and it should be available easily (when the phone is offline) and some data needs to stored in the cloud. I am considering using sqlflite for phone storage and firestore to sync and manage the online database. I am using flutter to build the app, I couldn't find a reliable way to use firestore cache for reading the data when phonphone is offline. So I came up with the above solution. Please suggest is this good?

See more
RocksDB logo

RocksDB

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Embeddable persistent key-value store for fast storage, developed and maintained by Facebook Database Engineering Team
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PROS OF ROCKSDB
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    Very fast
  • 3
    Made by Facebook
  • 2
    Consistent performance
  • 1
    Ability to add logic to the database layer where needed
CONS OF ROCKSDB
    Be the first to leave a con

    related RocksDB posts

    Thierry Schellenbach
    Shared insights
    on
    RedisRedisCassandraCassandraRocksDBRocksDB
    at

    1.0 of Stream leveraged Cassandra for storing the feed. Cassandra is a common choice for building feeds. Instagram, for instance started, out with Redis but eventually switched to Cassandra to handle their rapid usage growth. Cassandra can handle write heavy workloads very efficiently.

    Cassandra is a great tool that allows you to scale write capacity simply by adding more nodes, though it is also very complex. This complexity made it hard to diagnose performance fluctuations. Even though we had years of experience with running Cassandra, it still felt like a bit of a black box. When building Stream 2.0 we decided to go for a different approach and build Keevo. Keevo is our in-house key-value store built upon RocksDB, gRPC and Raft.

    RocksDB is a highly performant embeddable database library developed and maintained by Facebook’s data engineering team. RocksDB started as a fork of Google’s LevelDB that introduced several performance improvements for SSD. Nowadays RocksDB is a project on its own and is under active development. It is written in C++ and it’s fast. Have a look at how this benchmark handles 7 million QPS. In terms of technology it’s much more simple than Cassandra.

    This translates into reduced maintenance overhead, improved performance and, most importantly, more consistent performance. It’s interesting to note that LinkedIn also uses RocksDB for their feed.

    #InMemoryDatabases #DataStores #Databases

    See more

    I am researching different querying solutions to handle ~1 trillion records of data (in the realm of a petabyte). The data is mostly textual. I have identified a few options: Milvus, HBase, RocksDB, and Elasticsearch. I was wondering if there is a good way to compare the performance of these options (or if anyone has already done something like this). I want to be able to compare the speed of ingesting and querying textual data from these tools. Does anyone have information on this or know where I can find some? Thanks in advance!

    See more
    LevelDB logo

    LevelDB

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    An open-source on-disk key-value store
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    PROS OF LEVELDB
      Be the first to leave a pro
      CONS OF LEVELDB
        Be the first to leave a con

        related LevelDB posts

        LiteDB logo

        LiteDB

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        A .Net NoSQL Document Store in a single data file
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        PROS OF LITEDB
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          No Sql
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          Portable
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          Easy to use
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          Document oriented storage
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          Bring up or extend a database very quickly
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          Open Source
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          Capable of storing images or documents
        CONS OF LITEDB
        • 2
          Online documentation needs improvement
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          Needs more real world examples

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        MongoDB logo

        MongoDB

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          Document-oriented storage
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          No sql
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          Ease of use
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          Fast
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          High performance
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          Free
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          Open source
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          Flexible
        • 145
          Replication & high availability
        • 112
          Easy to maintain
        • 42
          Querying
        • 39
          Easy scalability
        • 38
          Auto-sharding
        • 37
          High availability
        • 31
          Map/reduce
        • 27
          Document database
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          Easy setup
        • 25
          Full index support
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          Reliable
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          Fast in-place updates
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          Agile programming, flexible, fast
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          No database migrations
        • 8
          Easy integration with Node.Js
        • 8
          Enterprise
        • 6
          Enterprise Support
        • 5
          Great NoSQL DB
        • 4
          Support for many languages through different drivers
        • 3
          Drivers support is good
        • 3
          Aggregation Framework
        • 3
          Schemaless
        • 2
          Fast
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          Managed service
        • 2
          Easy to Scale
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          Awesome
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          Consistent
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          Good GUI
        • 1
          Acid Compliant
        CONS OF MONGODB
        • 6
          Very slowly for connected models that require joins
        • 3
          Not acid compliant
        • 1
          Proprietary query language

        related MongoDB posts

        Shared insights
        on
        Node.jsNode.jsGraphQLGraphQLMongoDBMongoDB

        I just finished the very first version of my new hobby project: #MovieGeeks. It is a minimalist online movie catalog for you to save the movies you want to see and for rating the movies you already saw. This is just the beginning as I am planning to add more features on the lines of sharing and discovery

        For the #BackEnd I decided to use Node.js , GraphQL and MongoDB:

        1. Node.js has a huge community so it will always be a safe choice in terms of libraries and finding solutions to problems you may have

        2. GraphQL because I needed to improve my skills with it and because I was never comfortable with the usual REST approach. I believe GraphQL is a better option as it feels more natural to write apis, it improves the development velocity, by definition it fixes the over-fetching and under-fetching problem that is so common on REST apis, and on top of that, the community is getting bigger and bigger.

        3. MongoDB was my choice for the database as I already have a lot of experience working on it and because, despite of some bad reputation it has acquired in the last months, I still believe it is a powerful database for at least a very long list of use cases such as the one I needed for my website

        See more
        Vaibhav Taunk
        Team Lead at Technovert · | 31 upvotes · 3.9M views

        I am starting to become a full-stack developer, by choosing and learning .NET Core for API Development, Angular CLI / React for UI Development, MongoDB for database, as it a NoSQL DB and Flutter / React Native for Mobile App Development. Using Postman, Markdown and Visual Studio Code for development.

        See more
        JavaScript logo

        JavaScript

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        Lightweight, interpreted, object-oriented language with first-class functions
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        PROS OF JAVASCRIPT
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          Can be used on frontend/backend
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          Lots of great frameworks
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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
        • 286
          Non-blocking i/o
        • 236
          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
          Its everywhere
        • 12
          Future Language of The Web
        • 11
          JavaScript is the New PHP
        • 11
          Because I love functions
        • 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
          Easy to hire developers
        • 8
          No need to use PHP
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          For the good parts
        • 8
          Can be used both as frontend and backend as well
        • 8
          Powerful
        • 8
          Most Popular Language in the World
        • 7
          Popularized Class-Less Architecture & Lambdas
        • 7
          It's fun
        • 7
          Nice
        • 7
          Versitile
        • 7
          Hard not to use
        • 7
          Its fun and fast
        • 7
          Agile, packages simple to use
        • 7
          Supports lambdas and closures
        • 7
          Love-hate relationship
        • 7
          Photoshop has 3 JS runtimes built in
        • 7
          Evolution of C
        • 6
          1.6K Can be used on frontend/backend
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          Client side JS uses the visitors CPU to save Server Res
        • 6
          It let's me use Babel & Typescript
        • 6
          Easy to make something
        • 6
          Can be used on frontend/backend/Mobile/create PRO Ui
        • 5
          Promise relationship
        • 5
          Stockholm Syndrome
        • 5
          Function expressions are useful for callbacks
        • 5
          Scope manipulation
        • 5
          Everywhere
        • 5
          Client processing
        • 5
          Clojurescript
        • 5
          What to add
        • 4
          Because it is so simple and lightweight
        • 4
          Only Programming language on browser
        • 1
          Test2
        • 1
          Easy to learn
        • 1
          Easy to understand
        • 1
          Not the best
        • 1
          Hard to learn
        • 1
          Subskill #4
        • 1
          Test
        • 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

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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 · 10.1M 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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        Fast, scalable, distributed revision control system
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        PROS OF GIT
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          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 · 9.2M 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 · 8.3M 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
        GitHub logo

        GitHub

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          Easy setup
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          Pull request and features planning
        • 147
          Just works
        • 132
          Integrated in many tools
        • 121
          Free Public Repos
        • 116
          Github Gists
        • 112
          Github pages
        • 83
          Easy to find repos
        • 62
          Open source
        • 60
          It's free
        • 60
          Easy to find projects
        • 56
          Network effect
        • 49
          Extensive API
        • 43
          Organizations
        • 42
          Branching
        • 34
          Developer Profiles
        • 32
          Git Powered Wikis
        • 30
          Great for collaboration
        • 24
          It's fun
        • 23
          Clean interface and good integrations
        • 22
          Community SDK involvement
        • 20
          Learn from others source code
        • 16
          Because: Git
        • 14
          It integrates directly with Azure
        • 10
          Newsfeed
        • 10
          Standard in Open Source collab
        • 8
          Fast
        • 8
          It integrates directly with Hipchat
        • 8
          Beautiful user experience
        • 7
          Easy to discover new code libraries
        • 6
          Smooth integration
        • 6
          Cloud SCM
        • 6
          Nice API
        • 6
          Graphs
        • 6
          Integrations
        • 6
          It's awesome
        • 5
          Quick Onboarding
        • 5
          Remarkable uptime
        • 5
          CI Integration
        • 5
          Hands down best online Git service available
        • 5
          Reliable
        • 4
          Free HTML hosting
        • 4
          Version Control
        • 4
          Simple but powerful
        • 4
          Unlimited Public Repos at no cost
        • 4
          Security options
        • 4
          Loved by developers
        • 4
          Uses GIT
        • 4
          Easy to use and collaborate with others
        • 3
          IAM
        • 3
          Nice to use
        • 3
          Ci
        • 3
          Easy deployment via SSH
        • 2
          Good tools support
        • 2
          Leads the copycats
        • 2
          Free private repos
        • 2
          Free HTML hostings
        • 2
          Easy and efficient maintainance of the projects
        • 2
          Beautiful
        • 2
          Never dethroned
        • 2
          IAM integration
        • 2
          Very Easy to Use
        • 2
          Easy to use
        • 2
          All in one development service
        • 2
          Self Hosted
        • 2
          Issues tracker
        • 2
          Easy source control and everything is backed up
        • 1
          Profound
        CONS OF GITHUB
        • 53
          Owned by micrcosoft
        • 37
          Expensive for lone developers that want private repos
        • 15
          Relatively slow product/feature release cadence
        • 10
          API scoping could be better
        • 8
          Only 3 collaborators for private repos
        • 3
          Limited featureset for issue management
        • 2
          GitHub Packages does not support SNAPSHOT versions
        • 2
          Does not have a graph for showing history like git lens
        • 1
          No multilingual interface
        • 1
          Takes a long time to commit
        • 1
          Expensive

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