Alternatives to AWS CloudTrail logo

Alternatives to AWS CloudTrail

AWS Config, AWS X-Ray, Splunk, New Relic, and Kibana are the most popular alternatives and competitors to AWS CloudTrail.
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What is AWS CloudTrail and what are its top alternatives?

AWS CloudTrail is a service provided by Amazon Web Services that allows users to monitor and log their AWS account activity. It captures API calls made on the account, including who made the call, what action was taken, and when it occurred. This is useful for security, compliance, and troubleshooting purposes. However, AWS CloudTrail has limitations such as high costs for certain features and complex setup configurations.

  1. Splunk: Splunk offers a robust platform for logging and monitoring cloud infrastructure. It provides real-time visibility into log data and offers advanced analytics for security and compliance purposes. Pros: Powerful search and visualization capabilities. Cons: High costs for large data volumes.
  2. Loggly: Loggly is a cloud-based log management service that helps users centralize and analyze log data. It offers fast search capabilities and real-time monitoring. Pros: Easy to set up and use. Cons: Limited customizability compared to AWS CloudTrail.
  3. Datadog: Datadog is a monitoring and analytics platform that offers log management as part of its suite of services. It provides real-time visibility into logs and metrics across the infrastructure. Pros: Comprehensive monitoring capabilities. Cons: Higher cost compared to some other alternatives.
  4. Sumo Logic: Sumo Logic is a cloud-based log management and analytics service that helps organizations monitor their infrastructure and applications. It offers real-time insights and customizable dashboards. Pros: Scalability and performance. Cons: Limited free tier compared to AWS CloudTrail.
  5. Graylog: Graylog is an open-source log management platform that allows users to centralize and analyze log data. It offers powerful search capabilities and easy integration with various data sources. Pros: Cost-effective solution. Cons: Requires more technical expertise to set up and maintain.
  6. Logz.io: Logz.io is a cloud observability platform that offers log management as part of its services. It provides automated parsing and analysis of log data, along with customizable visualizations. Pros: Machine learning capabilities for anomaly detection. Cons: Higher pricing compared to some alternatives.
  7. Papertrail: Papertrail is a cloud-based log management service that helps users collect, search, and analyze log data. It offers real-time log tailing and alerts for proactive monitoring. Pros: Simple and intuitive interface. Cons: Limited features compared to AWS CloudTrail.
  8. LogDNA: LogDNA is a cloud-based log management service that offers real-time log aggregation and search capabilities. It provides alerts and integrations with various platforms. Pros: Fast search and indexing speeds. Cons: Limited customizability for advanced configurations.
  9. Logz.io: LogDNA is a cloud-based log management service that offers real-time log aggregation and search capabilities. It provides alerts and integrations with various platforms. Pros: Fast search and indexing speeds. Cons: Limited customizability for advanced configurations.
  10. SolarWinds Loggly: SolarWinds Loggly is a cloud-based log management service that helps users collect, analyze, and visualize log data. It offers real-time monitoring and customizable dashboards. Pros: Scalability for large data volumes. Cons: Higher pricing for additional features.

Top Alternatives to AWS CloudTrail

  • AWS Config
    AWS Config

    AWS Config is a fully managed service that provides you with an AWS resource inventory, configuration history, and configuration change notifications to enable security and governance. With AWS Config you can discover existing AWS resources, export a complete inventory of your AWS resources with all configuration details, and determine how a resource was configured at any point in time. These capabilities enable compliance auditing, security analysis, resource change tracking, and troubleshooting. ...

  • AWS X-Ray
    AWS X-Ray

    It helps developers analyze and debug production, distributed applications, such as those built using a microservices architecture. With this, you can understand how your application and its underlying services are performing to identify and troubleshoot the root cause of performance issues and errors. It provides an end-to-end view of requests as they travel through your application, and shows a map of your application’s underlying components. ...

  • Splunk
    Splunk

    It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data. ...

  • New Relic
    New Relic

    The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too. ...

  • Kibana
    Kibana

    Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch. ...

  • Grafana
    Grafana

    Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins. ...

  • Sentry
    Sentry

    Sentry’s Application Monitoring platform helps developers see performance issues, fix errors faster, and optimize their code health. ...

  • Amazon CloudWatch
    Amazon CloudWatch

    It helps you gain system-wide visibility into resource utilization, application performance, and operational health. It retrieve your monitoring data, view graphs to help take automated action based on the state of your cloud environment. ...

AWS CloudTrail alternatives & related posts

AWS Config logo

AWS Config

59
102
6
Config gives you a detailed inventory of your AWS resources and their current configuration, and continuously records configuration...
59
102
+ 1
6
PROS OF AWS CONFIG
  • 4
    Backed by Amazon
  • 2
    One stop solution
CONS OF AWS CONFIG
  • 2
    Not user friendly

related AWS Config posts

Алексей Нестерчук
Shared insights
on
AWS ConfigAWS ConfigCrashlyticsCrashlytics

From firebase Crashlytics, everything is simple, we install SDK and configs, and then we can see all the crashes. With AWS, it is not clear to me which service to use for the same purpose as configuring it. Correctly I understand that for automatic sending of all crashes, you need to use AWS Config?

See more
AWS X-Ray logo

AWS X-Ray

67
132
0
An application performance management service
67
132
+ 1
0
PROS OF AWS X-RAY
    Be the first to leave a pro
    CONS OF AWS X-RAY
      Be the first to leave a con

      related AWS X-Ray posts

      Splunk logo

      Splunk

      614
      1K
      20
      Search, monitor, analyze and visualize machine data
      614
      1K
      + 1
      20
      PROS OF SPLUNK
      • 3
        API for searching logs, running reports
      • 3
        Alert system based on custom query results
      • 2
        Splunk language supports string, date manip, math, etc
      • 2
        Dashboarding on any log contents
      • 2
        Custom log parsing as well as automatic parsing
      • 2
        Query engine supports joining, aggregation, stats, etc
      • 2
        Rich GUI for searching live logs
      • 2
        Ability to style search results into reports
      • 1
        Granular scheduling and time window support
      • 1
        Query any log as key-value pairs
      CONS OF SPLUNK
      • 1
        Splunk query language rich so lots to learn

      related Splunk posts

      Shared insights
      on
      KibanaKibanaSplunkSplunkGrafanaGrafana

      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
      Shared insights
      on
      SplunkSplunkElasticsearchElasticsearch

      We are currently exploring Elasticsearch and Splunk for our centralized logging solution. I need some feedback about these two tools. We expect our logs in the range of upwards > of 10TB of logging data.

      See more
      New Relic logo

      New Relic

      20.8K
      8.6K
      1.9K
      New Relic is the industry’s largest and most comprehensive cloud-based observability platform.
      20.8K
      8.6K
      + 1
      1.9K
      PROS OF NEW RELIC
      • 415
        Easy setup
      • 344
        Really powerful
      • 245
        Awesome visualization
      • 194
        Ease of use
      • 151
        Great ui
      • 106
        Free tier
      • 80
        Great tool for insights
      • 66
        Heroku Integration
      • 55
        Market leader
      • 49
        Peace of mind
      • 21
        Push notifications
      • 20
        Email notifications
      • 17
        Heroku Add-on
      • 16
        Error Detection and Alerting
      • 13
        Multiple language support
      • 11
        SQL Analysis
      • 11
        Server Resources Monitoring
      • 9
        Transaction Tracing
      • 8
        Apdex Scores
      • 8
        Azure Add-on
      • 7
        Analysis of CPU, Disk, Memory, and Network
      • 7
        Detailed reports
      • 6
        Performance of External Services
      • 6
        Error Analysis
      • 6
        Application Availability Monitoring and Alerting
      • 6
        Application Response Times
      • 5
        Most Time Consuming Transactions
      • 5
        JVM Performance Analyzer (Java)
      • 4
        Browser Transaction Tracing
      • 4
        Top Database Operations
      • 4
        Easy to use
      • 3
        Application Map
      • 3
        Weekly Performance Email
      • 3
        Pagoda Box integration
      • 3
        Custom Dashboards
      • 2
        Easy to setup
      • 2
        Background Jobs Transaction Analysis
      • 2
        App Speed Index
      • 1
        Super Expensive
      • 1
        Team Collaboration Tools
      • 1
        Metric Data Retention
      • 1
        Metric Data Resolution
      • 1
        Worst Transactions by User Dissatisfaction
      • 1
        Real User Monitoring Overview
      • 1
        Real User Monitoring Analysis and Breakdown
      • 1
        Time Comparisons
      • 1
        Access to Performance Data API
      • 1
        Incident Detection and Alerting
      • 1
        Best of the best, what more can you ask for
      • 1
        Best monitoring on the market
      • 1
        Rails integration
      • 1
        Free
      • 0
        Proce
      • 0
        Price
      • 0
        Exceptions
      • 0
        Cost
      CONS OF NEW RELIC
      • 20
        Pricing model doesn't suit microservices
      • 10
        UI isn't great
      • 7
        Expensive
      • 7
        Visualizations aren't very helpful
      • 5
        Hard to understand why things in your app are breaking

      related New Relic posts

      Farzeem Diamond Jiwani
      Software Engineer at IVP · | 8 upvotes · 1.5M views

      Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.

      Current Environment: .NET Core Web app hosted on Microsoft IIS

      Future Environment: Web app will be hosted on Microsoft Azure

      Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server

      Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.

      Please advise on the above. Thanks!

      See more
      Shared insights
      on
      New RelicNew RelicKibanaKibana

      I need to choose a monitoring tool for my project, but currently, my application doesn't have much load or many users. My application is not generating GBs of data. We don't want to send the user information to New Relic because it's a 3rd party tool. And we can deploy Kibana locally on our server. What should I use, Kibana or New Relic?

      See more
      Kibana logo

      Kibana

      20.4K
      16.2K
      262
      Visualize your Elasticsearch data and navigate the Elastic Stack
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      PROS OF KIBANA
      • 88
        Easy to setup
      • 65
        Free
      • 45
        Can search text
      • 21
        Has pie chart
      • 13
        X-axis is not restricted to timestamp
      • 9
        Easy queries and is a good way to view logs
      • 6
        Supports Plugins
      • 4
        Dev Tools
      • 3
        More "user-friendly"
      • 3
        Can build dashboards
      • 2
        Out-of-Box Dashboards/Analytics for Metrics/Heartbeat
      • 2
        Easy to drill-down
      • 1
        Up and running
      CONS OF KIBANA
      • 7
        Unintuituve
      • 4
        Works on top of elastic only
      • 4
        Elasticsearch is huge
      • 3
        Hardweight UI

      related Kibana posts

      Tymoteusz Paul
      Devops guy at X20X Development LTD · | 23 upvotes · 9.8M 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
      Tassanai Singprom

      This is my stack in Application & Data

      JavaScript PHP HTML5 jQuery Redis Amazon EC2 Ubuntu Sass Vue.js Firebase Laravel Lumen Amazon RDS GraphQL MariaDB

      My Utilities Tools

      Google Analytics Postman Elasticsearch

      My Devops Tools

      Git GitHub GitLab npm Visual Studio Code Kibana Sentry BrowserStack

      My Business Tools

      Slack

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      Grafana logo

      Grafana

      17.9K
      14.3K
      415
      Open source Graphite & InfluxDB Dashboard and Graph Editor
      17.9K
      14.3K
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      415
      PROS OF GRAFANA
      • 89
        Beautiful
      • 68
        Graphs are interactive
      • 57
        Free
      • 56
        Easy
      • 34
        Nicer than the Graphite web interface
      • 26
        Many integrations
      • 18
        Can build dashboards
      • 10
        Easy to specify time window
      • 10
        Can collaborate on dashboards
      • 9
        Dashboards contain number tiles
      • 5
        Open Source
      • 5
        Integration with InfluxDB
      • 5
        Click and drag to zoom in
      • 4
        Authentification and users management
      • 4
        Threshold limits in graphs
      • 3
        Alerts
      • 3
        It is open to cloud watch and many database
      • 3
        Simple and native support to Prometheus
      • 2
        Great community support
      • 2
        You can use this for development to check memcache
      • 2
        You can visualize real time data to put alerts
      • 0
        Grapsh as code
      • 0
        Plugin visualizationa
      CONS OF GRAFANA
      • 1
        No interactive query builder

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      Matt Menzenski
      Senior Software Engineering Manager at PayIt · | 16 upvotes · 1M views

      Grafana and Prometheus together, running on Kubernetes , is a powerful combination. These tools are cloud-native and offer a large community and easy integrations. At PayIt we're using exporting Java application metrics using a Dropwizard metrics exporter, and our Node.js services now use the prom-client npm library to serve metrics.

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      Conor Myhrvold
      Tech Brand Mgr, Office of CTO at Uber · | 15 upvotes · 5M views

      Why we spent several years building an open source, large-scale metrics alerting system, M3, built for Prometheus:

      By late 2014, all services, infrastructure, and servers at Uber emitted metrics to a Graphite stack that stored them using the Whisper file format in a sharded Carbon cluster. We used Grafana for dashboarding and Nagios for alerting, issuing Graphite threshold checks via source-controlled scripts. While this worked for a while, expanding the Carbon cluster required a manual resharding process and, due to lack of replication, any single node’s disk failure caused permanent loss of its associated metrics. In short, this solution was not able to meet our needs as the company continued to grow.

      To ensure the scalability of Uber’s metrics backend, we decided to build out a system that provided fault tolerant metrics ingestion, storage, and querying as a managed platform...

      https://eng.uber.com/m3/

      (GitHub : https://github.com/m3db/m3)

      See more
      Sentry logo

      Sentry

      14.4K
      9.3K
      863
      See performance issues, fix errors faster, and optimize code health.
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      PROS OF SENTRY
      • 237
        Consolidates similar errors and makes resolution easy
      • 121
        Email Notifications
      • 108
        Open source
      • 84
        Slack integration
      • 71
        Github integration
      • 49
        Easy
      • 44
        User-friendly interface
      • 28
        The most important tool we use in production
      • 18
        Hipchat integration
      • 17
        Heroku Integration
      • 15
        Good documentation
      • 14
        Free tier
      • 11
        Self-hosted
      • 9
        Easy setup
      • 7
        Realiable
      • 6
        Provides context, and great stack trace
      • 4
        Feedback form on error pages
      • 4
        Love it baby
      • 3
        Gitlab integration
      • 3
        Filter by custom tags
      • 3
        Super user friendly
      • 3
        Captures local variables at each frame in backtraces
      • 3
        Easy Integration
      • 1
        Performance measurements
      CONS OF SENTRY
      • 12
        Confusing UI
      • 4
        Bundle size

      related Sentry posts

      Johnny Bell

      For my portfolio websites and my personal OpenSource projects I had started exclusively using React and JavaScript so I needed a way to track any errors that we're happening for my users that I didn't uncover during my personal UAT.

      I had narrowed it down to two tools LogRocket and Sentry (I also tried Bugsnag but it did not make the final two). Before I get into this I want to say that both of these tools are amazing and whichever you choose will suit your needs well.

      I firstly decided to go with LogRocket the fact that they had a recorded screen capture of what the user was doing when the bug happened was amazing... I could go back and rewatch what the user did to replicate that error, this was fantastic. It was also very easy to setup and get going. They had options for React and Redux.js so you can track all your Redux.js actions. I had a fairly large Redux.js store, this was ended up being a issue, it killed the processing power on my machine, Chrome ended up using 2-4gb of ram, so I quickly disabled the Redux.js option.

      After using LogRocket for a month or so I decided to switch to Sentry. I noticed that Sentry was openSorce and everyone was talking about Sentry so I thought I may as well give it a test drive. Setting it up was so easy, I had everything up and running within seconds. It also gives you the option to wrap an errorBoundry in React so get more specific errors. The simplicity of Sentry was a breath of fresh air, it allowed me find the bug that was shown to the user and fix that very simply. The UI for Sentry is beautiful and just really clean to look at, and their emails are also just perfect.

      I have decided to stick with Sentry for the long run, I tested pretty much all the JS error loggers and I find Sentry the best.

      See more
      Tassanai Singprom

      This is my stack in Application & Data

      JavaScript PHP HTML5 jQuery Redis Amazon EC2 Ubuntu Sass Vue.js Firebase Laravel Lumen Amazon RDS GraphQL MariaDB

      My Utilities Tools

      Google Analytics Postman Elasticsearch

      My Devops Tools

      Git GitHub GitLab npm Visual Studio Code Kibana Sentry BrowserStack

      My Business Tools

      Slack

      See more
      Amazon CloudWatch logo

      Amazon CloudWatch

      11.6K
      8.1K
      214
      Monitor AWS resources and custom metrics generated by your applications and services
      11.6K
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      214
      PROS OF AMAZON CLOUDWATCH
      • 76
        Monitor aws resources
      • 46
        Zero setup
      • 30
        Detailed Monitoring
      • 23
        Backed by Amazon
      • 19
        Auto Scaling groups
      • 11
        SNS and autoscaling integrations
      • 5
        Burstable instances metrics (t2 cpu credit balance)
      • 3
        HIPAA/PCI/SOC Compliance-friendly
      • 1
        Native tool for AWS so understand AWS out of the box
      CONS OF AMAZON CLOUDWATCH
      • 2
        Poor Search Capabilities

      related Amazon CloudWatch posts

      A huge part of our continuous deployment practices is to have granular alerting and monitoring across the platform. To do this, we run Sentry on-premise, inside our VPCs, for our event alerting, and we run an awesome observability and monitoring system consisting of StatsD, Graphite and Grafana. We have dashboards using this system to monitor our core subsystems so that we can know the health of any given subsystem at any moment. This system ties into our PagerDuty rotation, as well as alerts from some of our Amazon CloudWatch alarms (we’re looking to migrate all of these to our internal monitoring system soon).

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      Bram Verdonck
      Founder at CloudvCard · | 5 upvotes · 681K views

      After looking for a way to monitor or at least get a better overview of our infrastructure, we found out that Grafana (which I previously only used in ELK stacks) has a plugin available to fully integrate with Amazon CloudWatch . Which makes it way better for our use-case than the offer of the different competitors (most of them are even paid). There is also a CloudFlare plugin available, the platform we use to serve our DNS requests. Although we are a big fan of https://smashing.github.io/ (previously dashing), for now we are starting with Grafana .

      See more