Graylog vs Prometheus

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Graylog
Graylog

245
186
+ 1
39
Prometheus
Prometheus

994
709
+ 1
183
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Graylog vs Prometheus: What are the differences?

Graylog: Open source log management that actually works. 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; Prometheus: An open-source service monitoring system and time series database, developed by SoundCloud. Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

Graylog can be classified as a tool in the "Log Management" category, while Prometheus is grouped under "Monitoring Tools".

"Powerfull" is the top reason why over 9 developers like Graylog, while over 32 developers mention "Powerful easy to use monitoring" as the leading cause for choosing Prometheus.

Graylog and Prometheus are both open source tools. Prometheus with 24.6K GitHub stars and 3.49K forks on GitHub appears to be more popular than Graylog with 4.88K GitHub stars and 757 GitHub forks.

Slack, Docplanner, and Uber Technologies are some of the popular companies that use Prometheus, whereas Graylog is used by CircleCI, AppBrain, and Dial Once. Prometheus has a broader approval, being mentioned in 235 company stacks & 84 developers stacks; compared to Graylog, which is listed in 75 company stacks and 21 developer stacks.

What is 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.

What is Prometheus?

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
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    What are some alternatives to Graylog and Prometheus?
    Splunk
    Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data.
    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.
    Loggly
    The world's most popular cloud-based log management service delivers application intelligence.
    Elasticsearch
    Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
    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.
    See all alternatives
    Decisions about Graylog and Prometheus
    Joseph Irving
    Joseph Irving
    DevOps Engineer at uSwitch · | 4 upvotes · 31.2K views
    atuSwitchuSwitch
    Thanos
    Thanos
    Prometheus
    Prometheus
    Kubernetes
    Kubernetes

    We recently implemented Thanos alongside Prometheus into our Kubernetes clusters, we had previously used a variety of different metrics systems and we wanted to make life simpler for everyone by just picking one.

    Prometheus seemed like an obvious choice due to its powerful querying language, native Kubernetes support and great community. However we found it somewhat lacking when it came to being highly available, something that would be very important if we wanted this to be the single source of all our metrics.

    Thanos came along and solved a lot of these problems. It allowed us to run multiple Prometheis without duplicating metrics, query multiple Prometheus clusters at once, and easily back up data and then query it. Now we have a single place to go if you want to view metrics across all our clusters, with many layers of redundancy to make sure this monitoring solution is as reliable and resilient as we could reasonably make it.

    If you're interested in a bit more detail feel free to check out the blog I wrote on the subject that's linked.

    See more
    Conor Myhrvold
    Conor Myhrvold
    Tech Brand Mgr, Office of CTO at Uber · | 10 upvotes · 652.2K views
    atUber TechnologiesUber Technologies
    Prometheus
    Prometheus
    Graphite
    Graphite
    Grafana
    Grafana
    Nagios
    Nagios

    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)

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    Raja Subramaniam Mahali
    Raja Subramaniam Mahali
    Prometheus
    Prometheus
    Kubernetes
    Kubernetes
    Sysdig
    Sysdig

    We have Prometheus as a monitoring engine as a part of our stack which contains Kubernetes cluster, container images and other open source tools. Also, I am aware that Sysdig can be integrated with Prometheus but I really wanted to know whether Sysdig or sysdig+prometheus will make better monitoring solution.

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    Interest over time
    Reviews of Graylog and Prometheus
    No reviews found
    How developers use Graylog and Prometheus
    Avatar of Scrayos UG (haftungsbeschränkt)
    Scrayos UG (haftungsbeschränkt) uses PrometheusPrometheus

    We primarily use Prometheus to gather metrics and statistics to display them in Grafana. Aside from that we poll Prometheus for our orchestration-solution "JCOverseer" to determine, which host is least occupied at the moment.

    Avatar of Tom Staijen
    Tom Staijen uses PrometheusPrometheus

    Gather metrics from systems and applications. Evaluate alerting rules. Alerts are pushed to OpsGenie and Slack.

    Avatar of HyVive
    HyVive uses PrometheusPrometheus

    We primarily use Prometheus to gather metrics and statistics to display them in Grafana.

    Avatar of Veggie Sailor
    Veggie Sailor uses GraylogGraylog

    Platform monitoring and behaviour insight.

    Avatar of Bùi Thanh
    Bùi Thanh uses PrometheusPrometheus
    • Simple operation and easy to deploy.
    Avatar of InsideSales.com
    InsideSales.com uses GraylogGraylog

    All the logs are belong to us.

    Avatar of Roy Olsen
    Roy Olsen uses PrometheusPrometheus

    Predictive monitoring.

    Avatar of Alexpts Pts
    Alexpts Pts uses GraylogGraylog
    How much does Graylog cost?
    How much does Prometheus cost?
    Pricing unavailable
    Pricing unavailable
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