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  1. Stackups
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  3. Amazon CloudWatch vs Prometheus

Amazon CloudWatch vs Prometheus

OverviewDecisionsComparisonAlternatives

Overview

Amazon CloudWatch
Amazon CloudWatch
Stacks11.8K
Followers8.2K
Votes214
Prometheus
Prometheus
Stacks4.4K
Followers3.8K
Votes239
GitHub Stars61.1K
Forks9.9K

Amazon CloudWatch vs Prometheus: What are the differences?

Amazon CloudWatch and Prometheus are both popular monitoring services used in the management of cloud infrastructure. Let's explore the key differences between them.

  1. Data Collection: Amazon CloudWatch is designed to collect and monitor metrics from various AWS resources and services, providing a comprehensive view of the cloud environment. Prometheus, on the other hand, is a more flexible solution that can work with any system, allowing users to monitor custom application metrics and resources outside of AWS.

  2. Metric Storage: CloudWatch stores metrics for a maximum of 15 months, providing long-term retention for historical data. Prometheus, however, utilizes a local time series database that retains data for a configurable amount of time, making it more suitable for short-term data storage and analysis.

  3. Alerting and Notifications: CloudWatch includes a built-in alerting mechanism that triggers notifications based on defined thresholds. It can send notifications via email, SNS, or trigger automated actions through CloudWatch Alarms. Prometheus also supports alerting but relies on external integrations such as Alertmanager to handle alert notifications, making it more flexible in terms of notification customization.

  4. Querying and Analysis: When it comes to querying and analysis, Prometheus offers a powerful and flexible query language called PromQL. It allows users to perform complex queries and provides advanced operator functions for metric selection and manipulation. CloudWatch, on the other hand, provides a simpler query interface with a limited set of query functions, making it less flexible in terms of data analysis capabilities.

  5. Scalability and Cost: CloudWatch is a fully managed service provided by AWS, which means it automatically scales with the cloud environment. The pricing for CloudWatch varies based on the number of metrics ingested and API requests made. Prometheus, being an open-source project, requires manual setup and configuration to scale and can be run on-premises or in the cloud. While Prometheus itself is free to use, the overall cost may vary depending on the infrastructure and resources required for its deployment.

  6. Integration Ecosystem: CloudWatch integrates seamlessly with other AWS services, allowing users to monitor and manage the entire AWS infrastructure from a single interface. It also provides built-in integrations with various third-party tools and platforms. Prometheus has a vast ecosystem of exporters and integrations, enabling users to collect metrics from a wide range of systems, services, and frameworks, providing more flexibility in terms of data collection.

In summary, Amazon CloudWatch is a managed service tightly integrated into AWS, providing a comprehensive monitoring solution for AWS resources. Prometheus, on the other hand, is a highly flexible and extensible solution suitable for monitoring custom metrics in both cloud and on-premises environments.

Advice on Amazon CloudWatch, Prometheus

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
Raja Subramaniam
Raja Subramaniam

Aug 27, 2019

Needs adviceonPrometheusPrometheusKubernetesKubernetesSysdigSysdig

We have Prometheus as a monitoring engine as a part of our stack which contains Kubernetes cluster, container images and other open source tools. Also, I am aware that Sysdig can be integrated with Prometheus but I really wanted to know whether Sysdig or sysdig+prometheus will make better monitoring solution.

779k views779k
Comments
Susmita
Susmita

Senior SRE at African Bank

Jul 28, 2020

Needs adviceonGrafanaGrafana

Looking for a tool which can be used for mainly dashboard purposes, but here are the main requirements:

  • Must be able to get custom data from AS400,
  • Able to display automation test results,
  • System monitoring / Nginx API,
  • Able to get data from 3rd parties DB.

Grafana is almost solving all the problems, except AS400 and no database to get automation test results.

868k views868k
Comments

Detailed Comparison

Amazon CloudWatch
Amazon CloudWatch
Prometheus
Prometheus

It helps you gain system-wide visibility into resource utilization, application performance, and operational health. It retrieve your monitoring data, view graphs to help take automated action based on the state of your cloud environment.

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.

Basic Monitoring for Amazon EC2 instances: ten pre-selected metrics at five-minute frequency, free of charge.;Detailed Monitoring for Amazon EC2 instances: seven pre-selected metrics at one-minute frequency, for an additional charge.;Amazon EBS volumes: eight pre-selected metrics at five-minute frequency, free of charge.;Elastic Load Balancers: thirteen pre-selected metrics at one-minute frequency, free of charge.;Amazon RDS DB instances: thirteen pre-selected metrics at one-minute frequency, free of charge.;Amazon SQS queues: eight pre-selected metrics at five-minute frequency, free of charge.;Amazon SNS topics: four pre-selected metrics at five-minute frequency, free of charge.;Amazon ElastiCache nodes: twenty-nine pre-selected metrics at one-minute frequency, free of charge.;Amazon DynamoDB tables: seven pre-selected metrics at five-minute frequency, free of charge.;AWS Storage Gateways: eleven pre-selected gateway metrics and five pre-selected storage volume metrics at five-minute frequency, free of charge.;Amazon Elastic MapReduce job flows: twenty-three pre-selected metrics at five-minute frequency, free of charge.;Auto Scaling groups: seven pre-selected metrics at one-minute frequency, optional and charged at standard pricing.;Estimated charges on your AWS bill: you can also choose to enable metrics to monitor your AWS charges. The number of metrics depends on the AWS products and services that you use, and these metrics are free of charge. Learn more about this option.
Dimensional data; Powerful queries; Great visualization; Efficient storage; Precise alerting; Simple operation
Statistics
GitHub Stars
-
GitHub Stars
61.1K
GitHub Forks
-
GitHub Forks
9.9K
Stacks
11.8K
Stacks
4.4K
Followers
8.2K
Followers
3.8K
Votes
214
Votes
239
Pros & Cons
Pros
  • 76
    Monitor aws resources
  • 46
    Zero setup
  • 30
    Detailed Monitoring
  • 23
    Backed by Amazon
  • 19
    Auto Scaling groups
Cons
  • 2
    Poor Search Capabilities
Pros
  • 47
    Powerful easy to use monitoring
  • 38
    Flexible query language
  • 32
    Dimensional data model
  • 27
    Alerts
  • 23
    Active and responsive community
Cons
  • 12
    Just for metrics
  • 6
    Needs monitoring to access metrics endpoints
  • 6
    Bad UI
  • 4
    Not easy to configure and use
  • 3
    Supports only active agents
Integrations
No integrations available
Grafana
Grafana

What are some alternatives to Amazon CloudWatch, Prometheus?

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.

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

Stackdriver

Stackdriver

Google Stackdriver provides powerful monitoring, logging, and diagnostics. It equips you with insight into the health, performance, and availability of cloud-powered applications, enabling you to find and fix issues faster.

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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