Alternatives to AWS CloudTrail logo

Alternatives to AWS CloudTrail

AWS Config, AWS X-Ray, Splunk, Logstash, and Papertrail are the most popular alternatives and competitors to AWS CloudTrail.
127
80
+ 1
14

What is AWS CloudTrail and what are its top alternatives?

With CloudTrail, you can get a history of AWS API calls for your account, including API calls made via the AWS Management Console, AWS SDKs, command line tools, and higher-level AWS services (such as AWS CloudFormation). The AWS API call history produced by CloudTrail enables security analysis, resource change tracking, and compliance auditing. The recorded information includes the identity of the API caller, the time of the API call, the source IP address of the API caller, the request parameters, and the response elements returned by the AWS service.
AWS CloudTrail is a tool in the Log Management category of a tech stack.

AWS CloudTrail alternatives & related posts

AWS Config logo

AWS Config

23
21
4
23
21
+ 1
4
Config gives you a detailed inventory of your AWS resources and their current configuration, and continuously records configuration...
AWS Config logo
AWS Config
VS
AWS CloudTrail logo
AWS CloudTrail
AWS X-Ray logo

AWS X-Ray

17
5
0
17
5
+ 1
0
An application performance management service
    Be the first to leave a pro
    AWS X-Ray logo
    AWS X-Ray
    VS
    AWS CloudTrail logo
    AWS CloudTrail
    Splunk logo

    Splunk

    153
    84
    0
    153
    84
    + 1
    0
    Search, monitor, analyze and visualize machine data
      Be the first to leave a pro
      Splunk logo
      Splunk
      VS
      AWS CloudTrail logo
      AWS CloudTrail

      related Splunk posts

      Grafana
      Grafana
      Splunk
      Splunk
      Kibana
      Kibana

      I use Kibana because it ships with the ELK stack. I don't find it as powerful as Splunk however it is light years above grepping through log files. We previously used Grafana but found it to be annoying to maintain a separate tool outside of the ELK stack. We were able to get everything we needed from Kibana.

      See more

      related Logstash posts

      Tymoteusz Paul
      Tymoteusz Paul
      Devops guy at X20X Development LTD | 13 upvotes 280.3K views
      Amazon EC2
      Amazon EC2
      LXC
      LXC
      CircleCI
      CircleCI
      Docker
      Docker
      Git
      Git
      Vault
      Vault
      Apache Maven
      Apache Maven
      Slack
      Slack
      Jenkins
      Jenkins
      TeamCity
      TeamCity
      Logstash
      Logstash
      Kibana
      Kibana
      Elasticsearch
      Elasticsearch
      Ansible
      Ansible
      VirtualBox
      VirtualBox
      Vagrant
      Vagrant

      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
      Tanya Bragin
      Tanya Bragin
      Product Lead, Observability at Elastic | 10 upvotes 67K views
      atElasticElastic
      Kibana
      Kibana
      Logstash
      Logstash
      Elasticsearch
      Elasticsearch

      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.

      See more

      related Papertrail posts

      Sumo Logic
      Sumo Logic
      Papertrail
      Papertrail
      Timber.io
      Timber.io
      LogDNA
      LogDNA
      Logentries
      Logentries
      #Heroku

      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
      Logentries logo

      Logentries

      267
      117
      102
      267
      117
      + 1
      102
      Real-time log management and analytics built for the cloud
      Logentries logo
      Logentries
      VS
      AWS CloudTrail logo
      AWS CloudTrail

      related Logentries posts

      Sumo Logic
      Sumo Logic
      Papertrail
      Papertrail
      Timber.io
      Timber.io
      LogDNA
      LogDNA
      Logentries
      Logentries
      #Heroku

      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
      Fluentd logo

      Fluentd

      230
      145
      4
      230
      145
      + 1
      4
      Unified logging layer
      Fluentd logo
      Fluentd
      VS
      AWS CloudTrail logo
      AWS CloudTrail
      ELK logo

      ELK

      200
      105
      0
      200
      105
      + 1
      0
      The acronym for three open source projects: Elasticsearch, Logstash, and Kibana
        Be the first to leave a pro
        ELK logo
        ELK
        VS
        AWS CloudTrail logo
        AWS CloudTrail

        related ELK posts

        Wallace Alves
        Wallace Alves
        Cyber Security Analyst | 1 upvotes 26.7K views
        nginx
        nginx
        Logstash
        Logstash
        Kibana
        Kibana
        Elasticsearch
        Elasticsearch
        ELK
        ELK
        Portainer
        Portainer
        Docker Compose
        Docker Compose
        Docker
        Docker

        Docker Docker Compose Portainer ELK Elasticsearch Kibana Logstash nginx

        See more
        Sumo Logic logo

        Sumo Logic

        134
        83
        19
        134
        83
        + 1
        19
        Cloud Log Management for Application Logs and IT Log Data
        Sumo Logic logo
        Sumo Logic
        VS
        AWS CloudTrail logo
        AWS CloudTrail

        related Sumo Logic posts

        Sumo Logic
        Sumo Logic
        Papertrail
        Papertrail
        Timber.io
        Timber.io
        LogDNA
        LogDNA
        Logentries
        Logentries
        #Heroku

        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
        Splunk Cloud logo

        Splunk Cloud

        70
        81
        10
        70
        81
        + 1
        10
        Easy and fast way to analyze valuable machine data with the convenience of software as a service (SaaS)
        Splunk Cloud logo
        Splunk Cloud
        VS
        AWS CloudTrail logo
        AWS CloudTrail

        related LogDNA posts

        Sumo Logic
        Sumo Logic
        Papertrail
        Papertrail
        Timber.io
        Timber.io
        LogDNA
        LogDNA
        Logentries
        Logentries
        #Heroku

        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
        Filebeat logo

        Filebeat

        30
        15
        0
        30
        15
        + 1
        0
        A lightweight shipper for forwarding and centralizing log data
          Be the first to leave a pro
          Filebeat logo
          Filebeat
          VS
          AWS CloudTrail logo
          AWS CloudTrail
          logz.io logo

          logz.io

          26
          3
          0
          26
          3
          + 1
          0
          A log management and log analysis service
            Be the first to leave a pro
            logz.io logo
            logz.io
            VS
            AWS CloudTrail logo
            AWS CloudTrail
            Scalyr logo

            Scalyr

            25
            21
            9
            25
            21
            + 1
            9
            Cloud-based log aggregation, server monitoring, and real-time analysis tool.
            Scalyr logo
            Scalyr
            VS
            AWS CloudTrail logo
            AWS CloudTrail
            SLF4J logo

            SLF4J

            18
            7
            0
            18
            7
            + 1
            0
            Simple logging facade for Java
              Be the first to leave a pro
              SLF4J logo
              SLF4J
              VS
              AWS CloudTrail logo
              AWS CloudTrail
              Logback logo

              Logback

              15
              10
              0
              15
              10
              + 1
              0
              A logging framework for Java applications
                Be the first to leave a pro
                Logback logo
                Logback
                VS
                AWS CloudTrail logo
                AWS CloudTrail
                Apache Flume logo

                Apache Flume

                15
                8
                0
                15
                8
                + 1
                0
                A service for collecting, aggregating, and moving large amounts of log data
                  Be the first to leave a pro
                  Apache Flume logo
                  Apache Flume
                  VS
                  AWS CloudTrail logo
                  AWS CloudTrail