Logstash is described as 'Open source, server-side data processing pipeline that ingests data from a multitude of sources simultaneously, transforms it, and then sends it to your favorite "stash."' and is a Log Management tool in the network & admin category. There are more than 50 alternatives to Logstash for a variety of platforms, including Linux, Web-based, Windows, Mac and SaaS apps. The best Logstash alternative is Better Stack Telemetry. It's not free, so if you're looking for a free alternative, you could try Graylog or Splunk. Other great apps like Logstash are Datadog, Wazuh, HyperDX and Kibana.
Built from the ground up for mobile developers. Monitor network requests, logs, and events in real-time. Debug faster, ship with confidence.
CloudMonix provides advanced cloud monitoring and automation for applications and services deployed on the Microsoft Azure and AWS platforms and built with MSPs, CSPs and DevOps in mind.
Bugfender is a log storage service for application developers. Bugfender collects everything happening in the application, even if it doesn’t crash, in order to reproduce and resolve bugs more effectively and provide better customer support.
Moesif is an error analysis and resolution tool for API driven services to gain deep visibility into how your errors occur in an increasingly complex world of many REST APIs and Microservices. The hosted service is built to log and analyze millions of API requests so you can...
Warnly is an open-source exception monitoring platform designed for development teams that demand simplicity, speed, and transparency.
Buglesstack is a debugging platform for browser automation tools like Puppeteer, Selenium, Playwright, and Cypress. It captures crash screenshots, HTML snapshots, and stack traces to help developers detect, log, and fix errors in headless browser scripts.
A simple and lightweight tool that allows you to capture logs from your applications and monitor them in one easy dashboard.
A cloud-native observability platform built specifically for logs, metrics, traces, analytics, RUM (real user monitoring — performance, errors, session replay) designed to work at petabyte scale.
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