Amazon CloudWatch vs Instrumental vs Sensu
Overview
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Detailed Comparison
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. | Instrumental is a real-time application and server monitoring platform. With over a million datapoints processed every second, we're one of the highest scale monitoring services. | 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. | Application monitoring - we accept any volume of arbitrary data, making it easy to set up graphs to measure the performance of your application in real time;
Server monitoring - Ruby apps can use our instrumental tools gem to monitor information like CPU statistics, memory usage, disk space, and all the other things you'll need to monitor your servers.
Language support - Ruby is supported using a custom library, and all other languages are supported with our Statsd backend;
RESTful API - upon authentication, data is collected and returned in strict JSON format;
Powerful query language - easily retrieve and graph a set of metrics matching a particular pattern;
Highly scalable - Instrumental processes billions of data points per day;
Built for teams - add team members, manage roles and permissions, and easily share graphs;
Alerts - you can be notified via email, text message or at an http endpoint you control;
Embedded graphs - create a graph and use it outside of the service with an embedded link; | 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 - | GitHub Stars 2.9K |
GitHub Forks - | GitHub Forks - | GitHub Forks 386 |
Stacks 12.0K | Stacks 16 | Stacks 201 |
Followers 8.2K | Followers 15 | Followers 251 |
Votes 214 | Votes 7 | Votes 56 |
Pros & Cons | ||
Pros
Cons
| Pros
| Pros
Cons
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Integrations | ||
| No integrations available | No integrations available | |
What are some alternatives to Amazon CloudWatch, Instrumental, Sensu?
New Relic
The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.
Datadog
Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
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 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 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.
Raygun
Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.
Nagios
Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.
AppSignal
AppSignal gives you and your team alerts and detailed metrics about your Ruby, Node.js or Elixir application. Sensible pricing, no aggressive sales & support by developers.
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
AppDynamics
AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.
