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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. Logentries vs Prometheus

Logentries vs Prometheus

OverviewDecisionsComparisonAlternatives

Overview

Logentries
Logentries
Stacks278
Followers174
Votes105
Prometheus
Prometheus
Stacks4.8K
Followers3.8K
Votes239
GitHub Stars61.1K
Forks9.9K

Logentries vs Prometheus: What are the differences?

Introduction

Logentries and Prometheus are both popular tools used in monitoring and maintaining the performance of systems and applications.

  1. Data Collection: Logentries primarily focuses on log management and analysis, allowing users to collect, consolidate, and analyze log data from various sources. On the other hand, Prometheus is a monitoring and alerting solution that collects metrics from monitored targets by scraping HTTP endpoints.

  2. Querying: Logentries offers a powerful search and query language to extract insights from log data, enabling users to filter, search, and visualize logs efficiently. In contrast, Prometheus uses PromQL, a flexible query language that allows users to perform complex queries on time-series data stored in its database.

  3. Data Retention: Logentries typically stores logs for a limited period based on the subscription plan, providing options for archiving or exporting historical data. Meanwhile, Prometheus stores data based on retention policies defined by users, allowing them to configure retention periods and data storage options as needed.

  4. Metrics Monitoring: While Logentries primarily focuses on log data analysis, Prometheus is specifically designed for monitoring metrics and time-series data. Prometheus excels at collecting, storing, and querying metric data from various systems and applications, making it a robust monitoring tool.

  5. Alerting Capabilities: Logentries offers alerting features based on log data thresholds, allowing users to set up notifications for specific log events or patterns. Prometheus, on the other hand, provides extensive alerting capabilities with alert manager integration, enabling users to create advanced alerting rules based on collected metrics data.

  6. Deployment Options: Logentries is a cloud-based service that allows users to send logs to the Logentries platform for analysis and monitoring. In contrast, Prometheus is typically deployed as an on-premise solution, giving users more control over their monitoring infrastructure and data.

In Summary, Logentries and Prometheus differ in terms of data collection focus, querying capabilities, data retention methods, metrics monitoring features, alerting capabilities, and deployment options.

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Advice on Logentries, Prometheus

Raja Subramaniam
Raja Subramaniam

Aug 27, 2019

Needs adviceonPrometheusPrometheusKubernetesKubernetesSysdigSysdig

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.

779k views779k
Comments
Susmita
Susmita

Senior SRE at African Bank

Jul 28, 2020

Needs adviceonGrafanaGrafana

Looking for a tool which can be used for mainly dashboard purposes, but here are the main requirements:

  • Must be able to get custom data from AS400,
  • Able to display automation test results,
  • System monitoring / Nginx API,
  • Able to get data from 3rd parties DB.

Grafana is almost solving all the problems, except AS400 and no database to get automation test results.

869k views869k
Comments
Mat
Mat

Head of Cloud at Mats Cloud

Oct 30, 2019

Needs advice

We're looking for a Monitoring and Logging tool. It has to support AWS (mostly 100% serverless, Lambdas, SNS, SQS, API GW, CloudFront, Autora, etc.), as well as Azure and GCP (for now mostly used as pure IaaS, with a lot of cognitive services, and mostly managed DB). Hopefully, something not as expensive as Datadog or New relic, as our SRE team could support the tool inhouse. At the moment, we primarily use CloudWatch for AWS and Pandora for most on-prem.

794k views794k
Comments

Detailed Comparison

Logentries
Logentries
Prometheus
Prometheus

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

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.

Logs as Metrics - Extract field level values, analyze them using powerful search functions, and visualize them with detailed dashboards.;Dynamic Log Correlation - Dynamically group and correlate your logs in a single dashboard, or aggregate logs from a particular system to give an end-to-end view.;Live Tail - View your streaming logs in real-time and highlight important events to easily see errors or exceptions in your live data.;S3 Archiving - Backup your log data daily to long term and cost effective triple redundancy storage in a SOC 2 compliant data center.;Server Monitoring - Monitor critical server stats and auto-generate log data for real-time alerting, visualized trending and deep performance insight.;Open API - Build easy, out-of-the-box integrations using Logentries’ open API;leverage existing toolsets and system integrations, including HipChat, PagerDuty and Campfire.;Team-based Annotations - See team member comments, share expertise, and maintain context with the new team-based view of system activity and log events;identify and resolve issues together in real-time.
Dimensional data; Powerful queries; Great visualization; Efficient storage; Precise alerting; Simple operation
Statistics
GitHub Stars
-
GitHub Stars
61.1K
GitHub Forks
-
GitHub Forks
9.9K
Stacks
278
Stacks
4.8K
Followers
174
Followers
3.8K
Votes
105
Votes
239
Pros & Cons
Pros
  • 34
    Log search
  • 27
    Live logs
  • 19
    Easy setup
  • 14
    Heroku Add-on
  • 5
    Backup to S3
Pros
  • 47
    Powerful easy to use monitoring
  • 38
    Flexible query language
  • 32
    Dimensional data model
  • 27
    Alerts
  • 23
    Active and responsive community
Cons
  • 12
    Just for metrics
  • 6
    Needs monitoring to access metrics endpoints
  • 6
    Bad UI
  • 4
    Not easy to configure and use
  • 3
    Supports only active agents
Integrations
cloudControl
cloudControl
Heroku
Heroku
AppFog
AppFog
AppHarbor
AppHarbor
Jelastic
Jelastic
Engine Yard Cloud
Engine Yard Cloud
Red Hat OpenShift
Red Hat OpenShift
PagerDuty
PagerDuty
Campfire
Campfire
HipChat
HipChat
Grafana
Grafana

What are some alternatives to Logentries, Prometheus?

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.

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.

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.

Logmatic

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Loggly

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

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.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

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.

Zabbix

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

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