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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Cloud Monitoring
  5. Amazon CloudWatch vs Sensu

Amazon CloudWatch vs Sensu

OverviewComparisonAlternatives

Overview

Amazon CloudWatch
Amazon CloudWatch
Stacks12.0K
Followers8.2K
Votes214
Sensu
Sensu
Stacks201
Followers251
Votes56
GitHub Stars2.9K
Forks386

Amazon CloudWatch vs Sensu: What are the differences?

Comparing Amazon CloudWatch and Sensu

Amazon CloudWatch and Sensu are both monitoring and observability tools that are widely used in the IT industry. While they share some similarities, there are key differences between the two platforms.

  1. Integration with AWS Services: Amazon CloudWatch is tightly integrated with various AWS services, allowing users to easily collect and monitor metrics, logs, and events across their AWS resources. On the other hand, Sensu is a more agnostic monitoring tool that provides monitoring capabilities for both cloud-based and on-premises resources and can integrate with multiple cloud providers, not just AWS.

  2. Scalability and Flexibility: Amazon CloudWatch is designed to handle massive scale and can process and store vast amounts of data. It is highly scalable and can handle the monitoring needs of even the largest enterprises. Sensu also provides scalability but may require additional configuration and setup to handle larger workloads.

  3. Monitoring Capabilities: Amazon CloudWatch primarily focuses on monitoring AWS resources, such as EC2 instances, RDS databases, and S3 buckets. It provides built-in metrics for these resources, as well as the ability to create custom metrics. On the other hand, Sensu offers a broader range of monitoring capabilities and can monitor various resources, regardless of the cloud provider or technology stack.

  4. Alerting and Notifications: Amazon CloudWatch provides a robust alerting mechanism that supports various notification types, including email, SMS, and integration with other AWS services like SNS. Sensu also offers powerful alerting and notification features but provides more flexibility in terms of the notification methods and integrations with other services.

  5. Ease of Use and Configuration: Amazon CloudWatch offers a user-friendly interface and seamless integration with other AWS tools, making it relatively easy to set up and configure. Sensu, on the other hand, requires more manual configuration and may require additional expertise to properly set up and customize.

  6. Pricing Structure: Amazon CloudWatch has a pricing structure that is based on the volume of logs, metrics, and events ingested and stored, as well as the number of alarms and dashboards created. Sensu, on the other hand, follows a different pricing model and may have different cost structures depending on the deployment method (cloud-based or on-premises).

In summary, Amazon CloudWatch offers deep integration with AWS services, scalability, and a focused monitoring approach for AWS resources. Sensu, on the other hand, provides a more agnostic and flexible monitoring platform with broader capabilities and notification options. The choice between the two depends on specific requirements, cloud provider preferences, and monitoring needs.

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Detailed Comparison

Amazon CloudWatch
Amazon CloudWatch
Sensu
Sensu

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.

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.

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.
Health checks & custom metrics; alerts & incident management; real-time inventory; auto-remediation & custom workflows; container monitoring; Kubernetes monitoring; telemetry & service health checking; multi-cloud monitoring
Statistics
GitHub Stars
-
GitHub Stars
2.9K
GitHub Forks
-
GitHub Forks
386
Stacks
12.0K
Stacks
201
Followers
8.2K
Followers
251
Votes
214
Votes
56
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
  • 13
    Support for almost anything
  • 11
    Easy setup
  • 9
    Message routing
  • 7
    Devs can code their own checks
  • 5
    Ease of use
Cons
  • 1
    Plugins
  • 1
    Written in Go
Integrations
No integrations available
ServiceNow.com
ServiceNow.com
Prometheus
Prometheus
InfluxDB
InfluxDB
Grafana
Grafana
PagerDuty
PagerDuty

What are some alternatives to Amazon CloudWatch, Sensu?

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

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.

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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