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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Front End Performance Monitoring
  5. Graylog vs OK Log vs SpeedCurve

Graylog vs OK Log vs SpeedCurve

OverviewComparisonAlternatives

Overview

SpeedCurve
SpeedCurve
Stacks26
Followers27
Votes3
Graylog
Graylog
Stacks595
Followers711
Votes70
GitHub Stars7.9K
Forks1.1K
OK Log
OK Log
Stacks32
Followers13
Votes0
GitHub Stars3.0K
Forks167

Graylog vs OK Log vs SpeedCurve: What are the differences?

Key Differences between Graylog and OK Log and SpeedCurve

  1. Data Collection and Storage: Graylog is an open-source log management tool that can collect, index, and analyze log data from different sources, while OK Log focuses on storing and indexing log data efficiently for faster reads. On the other hand, SpeedCurve is a web performance monitoring tool that captures real user data from actual browsers, providing insights into website performance.

  2. Monitoring Capabilities: Graylog offers centralized log management with powerful alerting and visualization features, making it ideal for monitoring system health and identifying issues quickly. OK Log is designed for high-throughput logging with fast query capabilities, making it suitable for applications that require real-time monitoring of log data. In comparison, SpeedCurve provides detailed performance metrics for web pages, helping developers optimize load times and improve user experience.

  3. Alerting and Notification: Graylog allows users to set up alerts based on defined criteria, such as log patterns or time thresholds, and send notifications through various channels like email or Slack. OK Log does not have built-in alerting functionality but focuses on providing a scalable and performance-oriented log storage solution. While SpeedCurve offers alerting features, such as performance budgets and thresholds, to monitor changes in web performance and notify stakeholders.

  4. Integrations: Graylog supports a wide range of integrations with other systems and tools like Elasticsearch, Kafka, and Grafana, enabling users to extend its functionality and incorporate log data into their existing workflows. OK Log is designed as a standalone solution and does not offer native integrations with external services. SpeedCurve integrates with popular tools like Slack and Jira to streamline collaboration and issue resolution based on performance data.

  5. Deployment Flexibility: Graylog can be deployed on-premises or in the cloud, giving users flexibility in choosing the infrastructure that best suits their needs, while OK Log is typically deployed as a self-contained binary without external dependencies. SpeedCurve is a cloud-based solution that requires no setup, making it easy to start monitoring website performance without the need for infrastructure management.

  6. Scalability and Performance: Graylog's distributed architecture allows for horizontal scaling to handle large volumes of log data efficiently, making it suitable for enterprises with complex logging requirements. OK Log is optimized for high performance and low latency, making it a preferred choice for applications that demand real-time log analysis. SpeedCurve's cloud infrastructure ensures scalability and reliability to monitor web performance across different devices and locations effectively.

In Summary, Graylog, OK Log, and SpeedCurve offer unique features and capabilities tailored to specific log management and web performance monitoring needs, catering to different use cases and preferences in the IT ecosystem.

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Detailed Comparison

SpeedCurve
SpeedCurve
Graylog
Graylog
OK Log
OK Log

SpeedCurve gives you continuous feedback on how your front-end code is affecting the performance of your website. Get detailed build analysis and performance filmstrips for your own website and then benchmark your performance against the competition to make sure your website loads faster.

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.

OK Log is a distributed and coördination-free log management system for big ol' clusters. It's an on-prem solution that's designed to be a sort of building block: easy to understand, easy to operate, and easy to extend.

Front-end performance monitoring;Track asset sizes and requests;Built in Google PagesSpeed Insight reports;Weekly reports and alerts;Built on top of WebPagetest;Responsive website testing;Competitive benchmarking;Share dashboards with the team;API to trigger tests on every deploy;Visual diffs to spot UX regressions
--
Statistics
GitHub Stars
-
GitHub Stars
7.9K
GitHub Stars
3.0K
GitHub Forks
-
GitHub Forks
1.1K
GitHub Forks
167
Stacks
26
Stacks
595
Stacks
32
Followers
27
Followers
711
Followers
13
Votes
3
Votes
70
Votes
0
Pros & Cons
Pros
  • 2
    Easy setup
  • 1
    Understandable reports and great benchmark
Pros
  • 19
    Open source
  • 13
    Powerfull
  • 8
    Well documented
  • 6
    Alerts
  • 5
    User authentification
Cons
  • 1
    Does not handle frozen indices at all
No community feedback yet
Integrations
Slack
Slack
GitHub
GitHub
Docker
Docker

What are some alternatives to SpeedCurve, Graylog, OK Log?

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.

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.

Logentries

Logentries

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.

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.

Sematext

Sematext

Sematext pulls together performance monitoring, logs, user experience and synthetic monitoring that tools organizations need to troubleshoot performance issues faster.

Fluentd

Fluentd

Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure.

Atatus

Atatus

Atatus is a server and frontend monitoring SaaS, using which you can monitor the performance and track the errors of your app.

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.

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.

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