Alternatives to Alert Logic logo

Alternatives to Alert Logic

Splunk, Sumo Logic, Rapid7, OpenSSL, and Logstash are the most popular alternatives and competitors to Alert Logic.
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What is Alert Logic and what are its top alternatives?

Alert Logic offers SIEMless Threat Management that connects platform, intelligence, & experts to provide the best security and peace of mind for your business.
Alert Logic is a tool in the Log Management category of a tech stack.
Alert Logic is an open source tool with GitHub stars and GitHub forks. Here’s a link to Alert Logic's open source repository on GitHub

Top Alternatives to Alert Logic

  • Splunk

    Splunk

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

  • Sumo Logic

    Sumo Logic

    Cloud-based machine data analytics platform that enables companies to proactively identify availability and performance issues in their infrastructure, improve their security posture and enhance application rollouts. Companies using Sumo Logic reduce their mean-time-to-resolution by 50% and can save hundreds of thousands of dollars, annually. Customers include Netflix, Medallia, Orange, and GoGo Inflight. ...

  • Rapid7

    Rapid7

    It is here to help you reduce risk across your entire connected environment so your company can focus on what matters most. Whether you need to easily manage vulnerabilities, monitor for malicious behavior, investigate and shut down attacks, or automate your operations — we have solutions and guidance for you. ...

  • OpenSSL

    OpenSSL

    It is a robust, commercial-grade, and full-featured toolkit for the Transport Layer Security (TLS) and Secure Sockets Layer (SSL) protocols. It is also a general-purpose cryptography library. ...

  • 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. ...

  • Let's Encrypt

    Let's Encrypt

    It is a free, automated, and open certificate authority brought to you by the non-profit Internet Security Research Group (ISRG). ...

  • 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. ...

  • 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. ...

Alert Logic alternatives & related posts

Splunk logo

Splunk

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580
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Search, monitor, analyze and visualize machine data
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PROS OF SPLUNK
  • 1
    Ability to style search results into reports
  • 1
    API for searching logs, running reports
  • 1
    Query any log as key-value pairs
  • 1
    Splunk language supports string, date manip, math, etc
  • 1
    Granular scheduling and time window support
  • 1
    Alert system based on custom query results
  • 1
    Query engine supports joining, aggregation, stats, etc
  • 1
    Custom log parsing as well as automatic parsing
  • 1
    Dashboarding on any log contents
  • 1
    Rich GUI for searching live logs
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
Sumo Logic logo

Sumo Logic

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Cloud Log Management for Application Logs and IT Log Data
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217
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PROS OF SUMO LOGIC
  • 10
    Search capabilities
  • 5
    Live event streaming
  • 3
    Pci 3.0 compliant
  • 2
    Easy to setup
CONS OF SUMO LOGIC
  • 2
    Expensive
  • 1
    Missing Monitoring
  • 0
    Occasionally unreliable log ingestion

related Sumo Logic 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.

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Rapid7 logo

Rapid7

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Provides insight into the security state of your assets and users
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PROS OF RAPID7
    Be the first to leave a pro
    CONS OF RAPID7
      Be the first to leave a con

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      OpenSSL logo

      OpenSSL

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      2.9K
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      Full-featured toolkit for the Transport Layer Security and Secure Sockets Layer protocols
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      PROS OF OPENSSL
        Be the first to leave a pro
        CONS OF OPENSSL
          Be the first to leave a con

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          Simon Reymann
          Senior Fullstack Developer at QUANTUSflow Software GmbH · | 28 upvotes · 2.2M 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
          Logstash logo

          Logstash

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          Collect, Parse, & Enrich Data
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          PROS OF LOGSTASH
          • 65
            Free
          • 17
            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
          • 2
            Memory-intensive
          • 1
            Documentation difficult to use

          related Logstash posts

          Tymoteusz Paul
          Devops guy at X20X Development LTD · | 21 upvotes · 4M 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
          Tanya Bragin
          Product Lead, Observability at Elastic · | 10 upvotes · 573.5K 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.

          See more
          Let's Encrypt logo

          Let's Encrypt

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          A free, automated, and open Certificate Authority (CA)
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          PROS OF LET'S ENCRYPT
          • 46
            Open Source SSL
          • 29
            Simple setup
          • 9
            Free
          • 9
            Microservices
          • 0
            Easy ssl certificates
          CONS OF LET'S ENCRYPT
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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
              Integrates with Heroku
            • 43
              Easy log aggregation across multiple machines
            • 37
              Simple interface
            • 26
              Backup to S3
            • 19
              Easy setup, independent of existing logging setup
            • 15
              Heroku add-on
            • 3
              Command line interface
            • 1
              Alerting
            CONS OF PAPERTRAIL
            • 1
              Expensive

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            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.

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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
            • 8
              Open source
            CONS OF ELK
            • 3
              Elastic Search is a resource hog
            • 3
              Logstash configuration is a pain

            related ELK posts

            Wallace Alves
            Cyber Security Analyst · | 1 upvote · 523.8K views

            Docker Docker Compose Portainer ELK Elasticsearch Kibana Logstash nginx

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