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AppOptics VS Fluentd

Compare AppOptics VS Fluentd and see what are their differences

AppOptics logo AppOptics

Application performance management and infrastructure monitoring.

Fluentd logo Fluentd

Fluentd is a cross platform open source data collection solution originally developed at Treasure Data.
  • AppOptics Landing page
    Landing page //
    2023-08-03
  • Fluentd Landing page
    Landing page //
    2018-09-30

AppOptics videos

How to Get Started Using AppOptics

More videos:

  • Review - AppOptics Onboarding: Dashboards
  • Review - AppOptics Onboarding: Infrastructure Monitoring

Fluentd videos

How-to Ship Logs to Grafana Loki with Promtail, FluentD & Fluent-bit

More videos:

  • Review - OpenShift Commons Briefing #72: Cloud Native Logging with Fluentd
  • Review - Fluentd, the Open Source Data Collection tool

Category Popularity

0-100% (relative to AppOptics and Fluentd)
Log Management
24 24%
76% 76
Monitoring Tools
20 20%
80% 80
Development
100 100%
0% 0
Security & Privacy
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare AppOptics and Fluentd

AppOptics Reviews

8 Dynatrace Alternatives to Consider in 2021
Development teams can rely on SolarWinds to provide many tools to support them. AppOptics is one of the services and tools, which is an APM tool. It is SaaS-based and focused on hybrid and cloud-native IT environments.
Source: scoutapm.com
Best New Relic Alternatives for Application Performance Monitoring (Cloud & SaaS)
AppOptics is the latest Saas based software Platform from Solarwinds that integrates Application, Infrastructure and server monitoring into one seamless, centralized platform. AppOptics gives you real-time visibility into your Applications, along with tracing issues and bottlenecks to quickly Visualize how they are affecting performance.

Fluentd Reviews

11 Best Splunk Alternatives
The CloudFront-log plugin, for example, can be used to ingest logs from Amazon CloudFront, while the elasticsearch plugin can be used to route logs to Elasticsearch. Fluentd only provides ingestion and routing services, so you'll have to develop your log management solution from the ground up. Fluentd has become a popular alternative to Logstash, transforming ELK into EFK....
Top 15 Kafka Alternatives Popular In 2021
Inputs and outputs have inbuilt support to buffer, load balance, timeout and retry instances. It has a unified logging layer in between the data sources. There are over 5000+ companies that rely on Fluentd and approximately collect logs from over 50000+ servers. It scraps logs from sources and sends them across to services like object storage, Elasticsearch, etc. it is...
Best Log Management Tools: Useful Tools for Log Management, Monitoring, Analytics, and More
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. Fluentd’s flagship feature is an extensive library of plugins which provide extended support and functionality for anything related to log and data management within a concise developer environment.
Source: stackify.com

What are some alternatives?

When comparing AppOptics and Fluentd, you can also consider the following products

logit.io - Logit.io provides complete observability of logs, metrics and traces. The platform also offers alerting & monitoring, as well as Prometheus, OpenSearch & Grafana. Ingest any type of data to see real-time insights about your applications and services

logstash - logstash is a tool for managing events and logs.

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

rsyslog - Rsyslog is an enhanced syslogd supporting, among others, MySQL, PostgreSQL, failover log...

Plumbr - Plumbr is an application performance platform that provides insights to users on the performance of their applications.

Graylog - Graylog is an open source log management platform for collecting, indexing, and analyzing both structured and unstructured data.