Alternatives to BindPlane logo

Alternatives to BindPlane

Logstash, ELK, Papertrail, Serilog, and SLF4J are the most popular alternatives and competitors to BindPlane.
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What is BindPlane and what are its top alternatives?

It delivers a relationship-aware stream of metrics and logs in real time. It seamlessly connects stacks outside of Google Cloud Platform (GCP) to Stackdriver for unified monitoring. It also allows you to close monitoring gaps for key application workloads running on GCP, like Microsoft SQL Server and SAP and dramatically reduce IT operations data management tasks. We also do the same for New Relic Insights and Microsoft Azure Monitor.
BindPlane is a tool in the Log Management category of a tech stack.

Top Alternatives to BindPlane

  • Logstash

    Logstash

    Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana. ...

  • ELK

    ELK

    It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch. ...

  • Papertrail

    Papertrail

    Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs. ...

  • Serilog

    Serilog

    It provides diagnostic logging to files, the console, and elsewhere. It is easy to set up, has a clean API, and is portable between recent .NET platforms. ...

  • SLF4J

    SLF4J

    It is a simple Logging Facade for Java (SLF4J) serves as a simple facade or abstraction for various logging frameworks allowing the end user to plug in the desired logging framework at deployment time. ...

  • Logback

    Logback

    It is intended as a successor to the popular log4j project. It is divided into three modules, logback-core, logback-classic and logback-access. The logback-core module lays the groundwork for the other two modules, logback-classic natively implements the SLF4J API so that you can readily switch back and forth between logback and other logging frameworks and logback-access module integrates with Servlet containers, such as Tomcat and Jetty, to provide HTTP-access log functionality. ...

  • Fluentd

    Fluentd

    Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure. ...

  • Graylog

    Graylog

    Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information. ...

BindPlane alternatives & related posts

Logstash logo

Logstash

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Collect, Parse, & Enrich Data
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PROS OF LOGSTASH
  • 68
    Free
  • 18
    Easy but powerful filtering
  • 12
    Scalable
  • 2
    Kibana provides machine learning based analytics to log
  • 1
    Great to meet GDPR goals
  • 1
    Well Documented
CONS OF LOGSTASH
  • 3
    Memory-intensive
  • 1
    Documentation difficult to use

related Logstash posts

Tymoteusz Paul
Devops guy at X20X Development LTD · | 23 upvotes · 4.6M 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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Tanya Bragin
Product Lead, Observability at Elastic · | 10 upvotes · 613.9K views

ELK Stack (Elasticsearch, Logstash, Kibana) is widely known as the de facto way to centralize logs from operational systems. The assumption is that Elasticsearch (a "search engine") is a good place to put text-based logs for the purposes of free-text search. And indeed, simply searching text-based logs for the word "error" or filtering logs based on a set of a well-known tags is extremely powerful, and is often where most users start.

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ELK logo

ELK

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The acronym for three open source projects: Elasticsearch, Logstash, and Kibana
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PROS OF ELK
  • 13
    Open source
  • 3
    Good for startups with monetary limitations
  • 2
    Can run locally
  • 1
    Easy to setup
  • 1
    External Network Goes Down You Aren't Without Logging
  • 0
    Json log supprt
  • 0
    Live logging
CONS OF ELK
  • 4
    Elastic Search is a resource hog
  • 3
    Logstash configuration is a pain
  • 1
    Bad for startups with personal limitations

related ELK posts

Wallace Alves
Cyber Security Analyst · | 1 upvote · 583.9K views

Docker Docker Compose Portainer ELK Elasticsearch Kibana Logstash nginx

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Papertrail logo

Papertrail

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Hosted log management for servers, apps, and cloud services
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PROS OF PAPERTRAIL
  • 86
    Log search
  • 43
    Easy log aggregation across multiple machines
  • 43
    Integrates with Heroku
  • 37
    Simple interface
  • 26
    Backup to S3
  • 19
    Easy setup, independent of existing logging setup
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    Heroku add-on
  • 3
    Command line interface
  • 1
    Alerting
  • 1
    Good for Startups
CONS OF PAPERTRAIL
  • 2
    Expensive
  • 1
    External Network Goes Down You Wont Be Logging

related Papertrail posts

Logentries, LogDNA, Timber.io, Papertrail and Sumo Logic provide free pricing plan for #Heroku application. You can add these applications as add-ons very easily.

See more
Serilog logo

Serilog

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A portable and structured logging framework to record diagnostic logs
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PROS OF SERILOG
    Be the first to leave a pro
    CONS OF SERILOG
      Be the first to leave a con

      related Serilog posts

      SLF4J logo

      SLF4J

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      Simple logging facade for Java
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      PROS OF SLF4J
        Be the first to leave a pro
        CONS OF SLF4J
          Be the first to leave a con

          related SLF4J posts

          Logback logo

          Logback

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          A logging framework for Java applications
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          + 1
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          PROS OF LOGBACK
            Be the first to leave a pro
            CONS OF LOGBACK
              Be the first to leave a con

              related Logback posts

              Fluentd logo

              Fluentd

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              Unified logging layer
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              PROS OF FLUENTD
              • 10
                Open-source
              • 9
                Great for Kubernetes node container log forwarding
              • 9
                Lightweight
              • 7
                Easy
              CONS OF FLUENTD
                Be the first to leave a con

                related Fluentd posts

                Graylog logo

                Graylog

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                Open source log management that actually works
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                PROS OF GRAYLOG
                • 17
                  Open source
                • 12
                  Powerfull
                • 7
                  Well documented
                • 5
                  Flexibel query and parsing language
                • 5
                  User authentification
                • 5
                  Alerts
                • 2
                  User management
                • 2
                  Alerts and dashboards
                • 2
                  Easy query language and english parsing
                • 1
                  Manage users and permissions
                • 1
                  Easy to install
                • 1
                  A large community
                CONS OF GRAYLOG
                • 1
                  Does not handle frozen indices at all

                related Graylog posts