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Prometheus vs StatusPage.io: What are the differences?
Introduction
Prometheus and StatusPage.io are both tools that are commonly used in websites, but they serve different purposes and have distinct features. In this Markdown code, we will outline key differences between Prometheus and StatusPage.io.
Scalability: Prometheus is designed for monitoring and alerting on time series data, making it suitable for large-scale systems with complex requirements. It can handle high volumes of metrics and scale horizontally to accommodate increasing data loads. On the other hand, StatusPage.io is focused on providing a simple and reliable platform for hosting status pages, making it ideal for organizations that need a centralized place to communicate their system's operational status to their audience.
Monitoring Capabilities: Prometheus offers extensive monitoring capabilities, allowing users to collect, store, and analyze metrics from various sources. It includes powerful query language and flexible alerting functionalities, enabling users to gain deep insights into their systems' performance and take appropriate actions. In contrast, StatusPage.io primarily focuses on providing a public status page to communicate incidents and outages to users. While it can integrate with monitoring tools to automate status updates, it does not offer the extensive monitoring capabilities of Prometheus.
Data Visualization: Prometheus provides built-in support for data visualization through its graphical interface and various integrations with visualization tools like Grafana. It allows users to create custom dashboards and charts to visualize their metrics and gain insights at a glance. Conversely, StatusPage.io focuses more on providing a user-friendly status page interface rather than extensive data visualization capabilities. It offers pre-designed templates and themes to display incidents and outages effectively.
Alerting: Prometheus has a robust alerting system that can be configured based on defined rules and thresholds. Users can define alert rules using PromQL queries and set up alert channels to notify the appropriate teams or individuals. StatusPage.io, on the other hand, does not have native alerting capabilities. It relies on integrations with monitoring systems to receive incident updates and trigger notifications to the status page subscribers.
Integration Options: Prometheus is highly extensible and provides a wide range of integration options. It can integrate with various systems and services, including cloud platforms, databases, and other monitoring tools. This flexibility allows users to collect metrics from diverse sources and integrate Prometheus into their existing monitoring ecosystem. While StatusPage.io offers some integrations with popular monitoring and incident management tools, its integration options are more limited compared to Prometheus.
Pricing Model: Prometheus is an open-source project with no licensing costs, making it an appealing choice for organizations with budget constraints. However, implementing and managing Prometheus may require more resources and expertise. On the other hand, StatusPage.io follows a subscription-based pricing model, with different plans based on the organization's needs. While this requires a financial commitment, it simplifies the deployment and maintenance process as it is a hosted solution.
In summary, Prometheus is a scalable and robust monitoring tool with extensive data visualization, alerting, and integration capabilities. In contrast, StatusPage.io focuses primarily on providing a user-friendly interface for hosting status pages and relies on integrations with other monitoring tools for incident updates. Choosing between Prometheus and StatusPage.io depends on the specific requirements and priorities of the organization.
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.
You can look out for Prometheus Instrumentation (https://prometheus.io/docs/practices/instrumentation/) Client Library available in various languages https://prometheus.io/docs/instrumenting/clientlibs/ to create the custom metric you need for AS4000 and then Grafana can query the newly instrumented metric to show on the dashboard.
Hi, We have a situation, where we are using Prometheus to get system metrics from PCF (Pivotal Cloud Foundry) platform. We send that as time-series data to Cortex via a Prometheus server and built a dashboard using Grafana. There is another pipeline where we need to read metrics from a Linux server using Metricbeat, CPU, memory, and Disk. That will be sent to Elasticsearch and Grafana will pull and show the data in a dashboard.
Is it OK to use Metricbeat for Linux server or can we use Prometheus?
What is the difference in system metrics sent by Metricbeat and Prometheus node exporters?
Regards, Sunil.
If you're already using Prometheus for your system metrics, then it seems like standing up Elasticsearch just for Linux host monitoring is excessive. The node_exporter is probably sufficient if you'e looking for standard system metrics.
Another thing to consider is that Metricbeat / ELK use a push model for metrics delivery, whereas Prometheus pulls metrics from each node it is monitoring. Depending on how you manage your network security, opting for one solution over two may make things simpler.
Hi Sunil! Unfortunately, I don´t have much experience with Metricbeat so I can´t advise on the diffs with Prometheus...for Linux server, I encourage you to use Prometheus node exporter and for PCF, I would recommend using the instana tile (https://www.instana.com/supported-technologies/pivotal-cloud-foundry/). Let me know if you have further questions! Regards Jose
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.
this is quite affordable and provides what you seem to be looking for. you can see a whole thing about the APM space here https://www.apmexperts.com/observability/ranking-the-observability-offerings/
I worked with Datadog at least one year and my position is that commercial tools like Datadog are the best option to consolidate and analyze your metrics. Obviously, if you can't pay the tool, the best free options are the mix of Prometheus with their Alert Manager and Grafana to visualize (that are complementary not substitutable). But I think that no use a good tool it's finally more expensive that use a not really good implementation of free tools and you will pay also to maintain its.
Pros of Prometheus
- Powerful easy to use monitoring47
- Flexible query language38
- Dimensional data model32
- Alerts27
- Active and responsive community23
- Extensive integrations22
- Easy to setup19
- Beautiful Model and Query language12
- Easy to extend7
- Nice6
- Written in Go3
- Good for experimentation2
- Easy for monitoring1
Pros of StatusPage.io
- Easy downtime notifications25
- It's lovely out of the box9
- RESTful API7
- Historical Incidents4
- Automatically tweet updates3
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Cons of Prometheus
- Just for metrics12
- Bad UI6
- Needs monitoring to access metrics endpoints6
- Not easy to configure and use4
- Supports only active agents3
- Written in Go2
- TLS is quite difficult to understand2
- Requires multiple applications and tools2
- Single point of failure1
Cons of StatusPage.io
- Expensive3