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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Blue Matador vs Sensu

Blue Matador vs Sensu

OverviewComparisonAlternatives

Overview

Sensu
Sensu
Stacks201
Followers251
Votes56
GitHub Stars2.9K
Forks386
Blue Matador
Blue Matador
Stacks2
Followers6
Votes0

Blue Matador vs Sensu: What are the differences?

Developers describe Blue Matador as "An automated monitoring and alerting platform". For time-strapped, agile tech teams, monitoring tools are too manual. Understanding baselines, fine-tuning thresholds, and examining visualizations for defects requires significant time and toil. But unlike all the other monitoring tools on the market, it eliminates the need to manually configure alerts. After a quick setup it instantly discovers all of your resources, automatically creates hundreds of alerts out-of-the-box, and proactively notifies you of critical production issues. On the other hand, Sensu is detailed as "Open source monitoring framework". A monitoring framework that aims to be simple, malleable, and scalable. Essentially, Sensu takes the results of “check” scripts run across many systems, and if certain conditions are met; passes their information to one or more “handlers”. Checks are used, for example, to determine if a service like Apache is up or down.

Blue Matador and Sensu can be categorized as "Monitoring" tools.

Some of the features offered by Blue Matador are:

  • Alerts with no configuration
  • Easy setup
  • AWS Integration

On the other hand, Sensu provides the following key features:

  • Execute service checks
  • Send notifications
  • Collect metrics

Sensu is an open source tool with 2.96K GitHub stars and 388 GitHub forks. Here's a link to Sensu's open source repository on GitHub.

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Detailed Comparison

Sensu
Sensu
Blue Matador
Blue Matador

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.

For time-strapped, agile tech teams, monitoring tools are too manual. Understanding baselines, fine-tuning thresholds, and examining visualizations for defects requires significant time and toil. But unlike all the other monitoring tools on the market, it eliminates the need to manually configure alerts. After a quick setup it instantly discovers all of your resources, automatically creates hundreds of alerts out-of-the-box, and proactively notifies you of critical production issues.

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
Alerts with no configuration; Easy setup; AWS Integration; Kubernetes Integration; Integrations with Slack, pagerduty, OpsGenie, and VictorOps; Agent for Linux/Windows monitoring; Timeline for root cause analysis; Smart alerts no pager fatigue
Statistics
GitHub Stars
2.9K
GitHub Stars
-
GitHub Forks
386
GitHub Forks
-
Stacks
201
Stacks
2
Followers
251
Followers
6
Votes
56
Votes
0
Pros & Cons
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
No community feedback yet
Integrations
ServiceNow.com
ServiceNow.com
Prometheus
Prometheus
InfluxDB
InfluxDB
Grafana
Grafana
PagerDuty
PagerDuty
AWS Elastic Load Balancing (ELB)
AWS Elastic Load Balancing (ELB)
Amazon S3
Amazon S3
Amazon RDS
Amazon RDS
Amazon SQS
Amazon SQS
Amazon CloudFront
Amazon CloudFront
Amazon EC2 Container Service
Amazon EC2 Container Service
AWS Lambda
AWS Lambda
Kubernetes
Kubernetes
Amazon Route 53
Amazon Route 53

What are some alternatives to Sensu, Blue Matador?

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.

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).

Jaeger

Jaeger

Jaeger, a Distributed Tracing System

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