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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Kibana vs Laravel Telescope

Kibana vs Laravel Telescope

OverviewDecisionsComparisonAlternatives

Overview

Kibana
Kibana
Stacks20.6K
Followers16.4K
Votes262
GitHub Stars20.8K
Forks8.5K
Laravel Telescope
Laravel Telescope
Stacks50
Followers86
Votes0
GitHub Stars5.1K
Forks634

Kibana vs Laravel Telescope: What are the differences?

Key differences between Kibana and Laravel Telescope

Kibana and Laravel Telescope are two popular tools used for monitoring and debugging applications. While both serve similar purposes, there are some key differences between them.

  1. Data Visualization Capabilities: Kibana is primarily used as a data visualization tool, allowing users to create interactive dashboards and visualizations based on data stored in Elasticsearch. It provides a wide range of visualizations options such as line charts, bar charts, and maps. Laravel Telescope, on the other hand, focuses on providing real-time insights into application performance and errors, rather than data visualization.

  2. Integration with Framework: Laravel Telescope is specifically designed for Laravel applications, making it easy to integrate and use within Laravel projects. It provides detailed information about the current requests, database queries, and exceptions, allowing developers to quickly identify and debug issues specific to Laravel. Kibana, on the other hand, is a standalone tool that can be used with any application that utilizes Elasticsearch as its data store.

  3. Monitoring Capabilities: Kibana offers a wide range of monitoring capabilities, allowing users to monitor the health and performance of their Elasticsearch cluster, as well as other data sources. It provides various built-in visualizations and monitors that enable users to track metrics such as CPU usage, memory usage, and network traffic. Laravel Telescope primarily focuses on monitoring Laravel applications, providing insights into the performance and errors occurring within the application.

  4. Alerting and Notification: Kibana offers robust alerting and notification features, allowing users to set up alerts based on predefined conditions and receive notifications when those conditions are met. Laravel Telescope, on the other hand, does not directly provide alerting and notification capabilities. However, developers can integrate Telescope with other alerting systems or use custom solutions to achieve similar functionality.

  5. Scalability: Kibana is designed to handle large volumes of data and can scale horizontally by adding more nodes to the Elasticsearch cluster. It can handle the visualization of data from multiple sources and allows for the creation of complex dashboards. Laravel Telescope, on the other hand, is more focused on providing real-time insights and debugging capabilities for individual Laravel applications, rather than handling large-scale data visualization.

  6. Deployment and Configuration: Kibana requires a separate deployment and configuration process, as it needs to be installed and configured alongside Elasticsearch. It provides additional configuration options for indexing and visualizing data. Laravel Telescope, on the other hand, can be easily installed and configured within Laravel applications using Composer, making it a more straightforward option for Laravel developers.

In summary, Kibana is a powerful data visualization and monitoring tool that can be used with various applications, while Laravel Telescope is specifically designed for Laravel applications, providing real-time insights and debugging capabilities.

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Advice on Kibana, Laravel Telescope

Leonardo Henrique da
Leonardo Henrique da

Pleno QA Enginneer at SolarMarket

Dec 8, 2020

Decided

The objective of this work was to develop a system to monitor the materials of a production line using IoT technology. Currently, the process of monitoring and replacing parts depends on manual services. For this, load cells, microcontroller, Broker MQTT, Telegraf, InfluxDB, and Grafana were used. It was implemented in a workflow that had the function of collecting sensor data, storing it in a database, and visualizing it in the form of weight and quantity. With these developed solutions, he hopes to contribute to the logistics area, in the replacement and control of materials.

402k views402k
Comments
matteo1989it
matteo1989it

Jun 26, 2019

ReviewonKibanaKibanaGrafanaGrafanaElasticsearchElasticsearch

I use both Kibana and Grafana on my workplace: Kibana for logging and Grafana for monitoring. Since you already work with Elasticsearch, I think Kibana is the safest choice in terms of ease of use and variety of messages it can manage, while Grafana has still (in my opinion) a strong link to metrics

757k views757k
Comments
StackShare
StackShare

Jun 25, 2019

Needs advice

From a StackShare Community member: “We need better analytics & insights into our Elasticsearch cluster. Grafana, which ships with advanced support for Elasticsearch, looks great but isn’t officially supported/endorsed by Elastic. Kibana, on the other hand, is made and supported by Elastic. I’m wondering what people suggest in this situation."

663k views663k
Comments

Detailed Comparison

Kibana
Kibana
Laravel Telescope
Laravel Telescope

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.

Laravel Telescope is an elegant debug assistant for the Laravel framework. Telescope provides insight into the requests coming into your application, exceptions, log entries, database queries, queued jobs, mail, notifications, cache operations, scheduled tasks, variable dumps and more. Telescope makes a wonderful companion to your local Laravel development environment.

Flexible analytics and visualization platform;Real-time summary and charting of streaming data;Intuitive interface for a variety of users;Instant sharing and embedding of dashboards
-
Statistics
GitHub Stars
20.8K
GitHub Stars
5.1K
GitHub Forks
8.5K
GitHub Forks
634
Stacks
20.6K
Stacks
50
Followers
16.4K
Followers
86
Votes
262
Votes
0
Pros & Cons
Pros
  • 88
    Easy to setup
  • 65
    Free
  • 45
    Can search text
  • 21
    Has pie chart
  • 13
    X-axis is not restricted to timestamp
Cons
  • 7
    Unintuituve
  • 4
    Elasticsearch is huge
  • 4
    Works on top of elastic only
  • 3
    Hardweight UI
No community feedback yet
Integrations
Logstash
Logstash
Elasticsearch
Elasticsearch
Beats
Beats
No integrations available

What are some alternatives to Kibana, Laravel Telescope?

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.

Prometheus

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.

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

Zabbix

Zabbix

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

Sensu

Sensu

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

Graphite

Graphite

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

Lumigo

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

StatsD

StatsD

It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

Jaeger

Jaeger

Jaeger, a Distributed Tracing System

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