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

Laravel Telescope vs OpenTelemetry

OverviewComparisonAlternatives

Overview

Laravel Telescope
Laravel Telescope
Stacks50
Followers86
Votes0
GitHub Stars5.1K
Forks634
OpenTelemetry
OpenTelemetry
Stacks203
Followers148
Votes4

Laravel Telescope vs OpenTelemetry: What are the differences?

Key Differences between Laravel Telescope and OpenTelemetry

Introduction

This markdown code provides a comparison between Laravel Telescope and OpenTelemetry, highlighting the key differences between the two.

  1. Installation and Configuration: Laravel Telescope is a package that can be installed using Composer and requires minimal configuration. On the other hand, OpenTelemetry is a dynamic framework that requires manual instrumentation and configuration.

  2. Supported Platforms: Laravel Telescope is specifically designed for Laravel applications, providing in-depth insights into the application's internal workings. OpenTelemetry, on the other hand, is a versatile observability framework that supports multiple programming languages and platforms.

  3. Functionality and Scope: Laravel Telescope primarily focuses on providing detailed information about request lifecycle, database queries, cache operations, and other Laravel-specific features. OpenTelemetry, being a broader framework, offers distributed tracing, metrics, and logs that can be integrated across different components and services within an application.

  4. Integration: Laravel Telescope seamlessly integrates with Laravel applications and provides an out-of-the-box solution for monitoring and debugging. OpenTelemetry requires explicit instrumentation and integration with specific frameworks, libraries, and services to collect observability data.

  5. Performance Impact: Laravel Telescope has a low impact on application performance as it collects runtime data only when the telescope routes are accessed. OpenTelemetry, depending on the instrumentation and transport mechanisms used, can introduce overhead in terms of CPU and memory consumption.

  6. Community and Ecosystem: Laravel Telescope benefits from the Laravel community and its ecosystem of packages and extensions. OpenTelemetry, being an open-source project supported by various organizations, has a larger community and ecosystem with support for various backends, exporters, and integrations.

In summary, Laravel Telescope is a Laravel-specific package that provides detailed insights into the internal workings of a Laravel application. OpenTelemetry, on the other hand, is a versatile observability framework that offers distributed tracing, metrics, and logs for various programming languages and platforms, with broader integration possibilities and a larger community.

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Detailed Comparison

Laravel Telescope
Laravel Telescope
OpenTelemetry
OpenTelemetry

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.

It provides a single set of APIs, libraries, agents, and collector services to capture distributed traces and metrics from your application. You can analyze them using Prometheus, Jaeger, and other observability tools.

Statistics
GitHub Stars
5.1K
GitHub Stars
-
GitHub Forks
634
GitHub Forks
-
Stacks
50
Stacks
203
Followers
86
Followers
148
Votes
0
Votes
4
Pros & Cons
No community feedback yet
Pros
  • 4
    OSS

What are some alternatives to Laravel Telescope, OpenTelemetry?

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.

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.

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).

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