Need advice about which tool to choose?Ask the StackShare community!
Prometheus vs Uptime Robot: What are the differences?
Introduction
In the realm of website monitoring tools, Prometheus and Uptime Robot stand out as popular choices for tracking performance and detecting downtime. Understanding the key differences between these two platforms is essential for making an informed decision on which one best fits your monitoring needs.
Data Collection and Storage: Prometheus utilizes a pull-based model, where it scrapes data from targets at regular intervals, storing it in a time-series database. On the other hand, Uptime Robot uses a push-based method, where monitored targets send their data to Uptime Robot's servers, which then process and store it centrally. This fundamental difference in data collection mechanisms can impact the scalability and flexibility of each tool.
Alerting Capabilities: Prometheus offers robust alerting functionalities through its Alertmanager component, allowing users to define alerting rules based on various metrics and thresholds. In contrast, Uptime Robot offers a simpler alerting system that notifies users via email, SMS, or other channels when downtime is detected. The level of customization and sophistication in alerting options differs between the two tools.
Monitoring Scope: Prometheus is a versatile monitoring tool that excels in monitoring complex, multi-dimensional systems and environments, making it a popular choice for cloud-native applications. Meanwhile, Uptime Robot primarily focuses on external monitoring, checking website uptime and response times from various locations across the globe. The scope and depth of monitoring capabilities vary significantly between the two platforms.
Integration Ecosystem: Prometheus boasts a rich ecosystem of integrations with various third-party tools and services, facilitating seamless integration with existing workflows and environments. In contrast, Uptime Robot offers fewer native integrations and relies more on its standalone monitoring features. The availability of integrations can play a crucial role in how easily and effectively the monitoring tool can be incorporated into existing systems.
Cost Structure: While both Prometheus and Uptime Robot offer free tier options for basic monitoring needs, their cost structures diverge when it comes to premium features and scalability. Prometheus, being open-source software, incurs costs primarily for infrastructure and maintenance, whereas Uptime Robot follows a subscription-based model with tiered pricing based on monitoring frequency and features. Understanding the long-term costs associated with each tool is vital for budget planning and resource allocation.
In Summary, understanding the key differences between Prometheus and Uptime Robot in terms of data collection, alerting, monitoring scope, integration ecosystem, and cost structure is crucial for making an informed decision on selecting the most suitable monitoring tool for your specific requirements.
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.
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.
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/
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 UptimeRobot
- Free tier22
- Easy to understand18
- Instant notifications14
- Simpler than Pingdom8
- Cheap but Reliable5
- Free public status pages5
- Keyword monitoring4
- Public Status Page4
- Mobile App3
- Receive twitter status message1
- Good api0
- SSL Checking0
Sign up to add or upvote prosMake informed product decisions
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 UptimeRobot
- False-Positives4
- Consistently bad UI3
- Confusing UI2
- Extremely bad UI experience0