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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Alerta vs Jaeger

Alerta vs Jaeger

OverviewComparisonAlternatives

Overview

Jaeger
Jaeger
Stacks342
Followers464
Votes25
GitHub Stars22.0K
Forks2.7K
Alerta
Alerta
Stacks26
Followers32
Votes0

Alerta vs Jaeger: What are the differences?

  1. Integration Capabilities: Alerta is primarily designed for alert management and deduplication, providing integrations with various monitoring tools such as Nagios, Prometheus, and Grafana to centralize and streamline alerts. On the other hand, Jaeger focuses on distributed tracing, enabling developers to monitor and troubleshoot the flow of requests through complex systems by tracing the path of requests across multiple services in real-time.

  2. Monitoring Scope: Alerta primarily focuses on monitoring and managing alerts generated by different monitoring tools, consolidating them into a single platform for easy management and analysis. In contrast, Jaeger is specifically tailored for tracing the flow of requests in distributed systems, offering in-depth insights into the performance of individual services and their interactions.

  3. Visualization and Analysis: Alerta provides visualizations and analytics related to alerts, offering insights into the frequency of alerts, trends, and patterns that can help in proactively addressing issues. Jaeger, on the other hand, specializes in visualizing trace data, providing detailed information about the latency and performance of requests as they propagate through various services.

  4. Open Source Ecosystem: Alerta is an open-source alert management tool that can be easily customized and extended to fit the needs of different organizations, fostering community-driven development and collaboration. In contrast, Jaeger is part of the Cloud Native Computing Foundation (CNCF) and has a strong ecosystem with robust support from industry leaders like Uber, allowing for continuous enhancements and advancements.

  5. Use Cases: Alerta is best suited for DevOps teams and IT operations that need a centralized platform for managing alerts efficiently, enabling timely responses to incidents and proactive monitoring of infrastructure. Jaeger, on the other hand, caters more to developers and SREs working on microservices architectures, providing insights into the performance of distributed systems and facilitating troubleshooting of complex issues.

  6. Scalability and Performance: Alerta is designed to handle a high volume of alerts and notifications efficiently, offering scalability features that ensure it can cater to the alerting needs of large-scale enterprise environments. Jaeger, on the other hand, focuses on distributed tracing at scale, providing mechanisms to handle the tracing of requests across numerous services without compromising performance.

In Summary, Alerta specializes in alert management and integration capabilities, while Jaeger focuses on distributed tracing for monitoring the flow of requests in complex systems.

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Detailed Comparison

Jaeger
Jaeger
Alerta
Alerta

Jaeger, a Distributed Tracing System

It combines a JSON API server for receiving, processing and rendering alerts with a simple, yet effective Alerta Web UI and command-line tool.

-
Supports SQL; Flexible alert format; De-duplication and simple correlation
Statistics
GitHub Stars
22.0K
GitHub Stars
-
GitHub Forks
2.7K
GitHub Forks
-
Stacks
342
Stacks
26
Followers
464
Followers
32
Votes
25
Votes
0
Pros & Cons
Pros
  • 7
    Open Source
  • 7
    Easy to install
  • 6
    Feature Rich UI
  • 5
    CNCF Project
No community feedback yet
Integrations
Golang
Golang
Elasticsearch
Elasticsearch
Cassandra
Cassandra
Slack
Slack
Prometheus
Prometheus
New Relic
New Relic
PagerDuty
PagerDuty
Grafana
Grafana
Kibana
Kibana
InfluxDB
InfluxDB
Nagios
Nagios
Amazon CloudWatch
Amazon CloudWatch
Sensu
Sensu

What are some alternatives to Jaeger, Alerta?

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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