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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Healthchecks.io vs Prometheus

Healthchecks.io vs Prometheus

OverviewDecisionsComparisonAlternatives

Overview

Prometheus
Prometheus
Stacks4.8K
Followers3.8K
Votes239
GitHub Stars61.1K
Forks9.9K
Healthchecks.io
Healthchecks.io
Stacks46
Followers61
Votes9
GitHub Stars9.6K
Forks936

Healthchecks.io vs Prometheus: What are the differences?

Introduction

Healthchecks.io and Prometheus are both powerful tools used for monitoring and alerting in the realm of IT. While they share similarities in their ability to monitor system status and send notifications, there are several key differences that set them apart from each other.

  1. Integration Support: Healthchecks.io is a hosted service that provides an easy-to-use REST API, allowing users to integrate it seamlessly into their existing infrastructure. On the other hand, Prometheus is a self-hosted monitoring and alerting system that requires users to set up and maintain their own infrastructure.

  2. Data Collection Approach: Healthchecks.io primarily focuses on monitoring the availability and response time of periodic tasks or services, commonly used for time-based job scheduling. In contrast, Prometheus is a highly flexible tool that gathers time-series data through a pull-based model, allowing users to collect and store metrics from a wide range of sources.

  3. Data Storage: Healthchecks.io stores only the latest status check result for each check, which makes it lightweight and efficient for tracking the current state of tasks or services. Prometheus, on the other hand, stores all collected metrics in its time-series database, enabling long-term data storage and analysis, which is especially useful for trend analysis and capacity planning.

  4. Querying and Alerting: Healthchecks.io provides a simple dashboard with basic analytics capabilities but lacks advanced querying functionalities. Prometheus, on the other hand, offers a powerful query language, PromQL, which allows users to perform complex queries and aggregations on the collected metrics. It also provides robust alerting capabilities, enabling users to define custom alert rules based on specific metrics or conditions.

  5. Service Discovery: Prometheus excels in service discovery, offering support for various mechanisms like DNS, Kubernetes, and service annotations. This allows it to automatically discover and monitor new services as they come online. Healthchecks.io, on the other hand, does not have built-in service discovery capabilities and primarily relies on user-defined checks.

  6. Ecosystem and Integration: Prometheus has a thriving ecosystem with a wide range of exporters and integrations available, supporting monitoring of various components and technologies. It seamlessly integrates with Grafana, a popular visualization tool, for advanced visualization and dashboards. Healthchecks.io, on the other hand, has a more limited ecosystem but does provide integrations with popular services like Slack and PagerDuty for notifications and alerting.

In summary, Healthchecks.io is a hosted service with a focus on monitoring the availability and response time of periodic tasks, providing basic analytics but limited querying capabilities. It integrates easily into existing infrastructure, making it an ideal choice for simple monitoring needs. On the other hand, Prometheus is a self-hosted monitoring system that excels in data collection, long-term storage, advanced querying, and extensive ecosystem integrations, making it suitable for complex monitoring and analysis requirements.

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Advice on Prometheus, Healthchecks.io

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.

869k views869k
Comments
Mat
Mat

Head of Cloud at Mats Cloud

Oct 30, 2019

Needs advice

We're looking for a Monitoring and Logging tool. It has to support AWS (mostly 100% serverless, Lambdas, SNS, SQS, API GW, CloudFront, Autora, etc.), as well as Azure and GCP (for now mostly used as pure IaaS, with a lot of cognitive services, and mostly managed DB). Hopefully, something not as expensive as Datadog or New relic, as our SRE team could support the tool inhouse. At the moment, we primarily use CloudWatch for AWS and Pandora for most on-prem.

794k views794k
Comments

Detailed Comparison

Prometheus
Prometheus
Healthchecks.io
Healthchecks.io

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.

Healthchecks.io is a monitoring service for your cron jobs, background services and scheduled tasks. It works by listening for HTTP "pings" from your services. You can set up various alert methods: email, Slack, Telegram, PagerDuty, etc.

Dimensional data; Powerful queries; Great visualization; Efficient storage; Precise alerting; Simple operation
Open source, can be self-hosted; Simple, clean dashboard; Free for hobby projects; $16/mo for businesses; Team access; API access
Statistics
GitHub Stars
61.1K
GitHub Stars
9.6K
GitHub Forks
9.9K
GitHub Forks
936
Stacks
4.8K
Stacks
46
Followers
3.8K
Followers
61
Votes
239
Votes
9
Pros & Cons
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
    Bad UI
  • 6
    Needs monitoring to access metrics endpoints
  • 4
    Not easy to configure and use
  • 3
    Supports only active agents
Pros
  • 3
    Can be self-hosted
  • 2
    Free tier
  • 2
    Great value
  • 2
    Easy to understand
Integrations
Grafana
Grafana
Trello
Trello
VictorOps
VictorOps
WhatsApp
WhatsApp
OpsGenie
OpsGenie
Pushover
Pushover
Zulip
Zulip
Telegram
Telegram
Discord
Discord
GitHub
GitHub
Slack
Slack

What are some alternatives to Prometheus, Healthchecks.io?

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.

PagerDuty

PagerDuty

PagerDuty is an alarm aggregation and dispatching service for system administrators and support teams. It collects alerts from your monitoring tools, gives you an overall view of all of your monitoring alarms, and alerts an on duty engineer if there's a problem.

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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