Grafana Loki vs. Prometheus

Grafana Loki can compile data logs for easy exploration of a service and enable quick troubleshooting and error tracing for engineers who may not have deeper access. However, Loki is dependent on the service logging complexity, which, depending on the logger, may not be robust enough and limit the value offered.

Incentivized

This program works from the roots of the problem and creates a professional matrix for each of its users. This will give them more skills and resources to carry out tasks and reduce the difficulties of operating each of the processes of my work, as well as being An ally for the manipulation and operability of all your master data; Prometheus is very easy to recommend since it is a program that fulfills its mission.

Incentivized

• Access to many open-source dashboards, access to add many data-sources to gather and visualize data from.
• Grafana Loki does well gathering of logs from various data-sources, we can also filter the logs based on our needs.
• One stop solution for all the logs and monitoring.

Incentivized

• Looking at metrics such as the aggregate number of HTTP requests served.
• Understanding how our services are performing in aggregate.
• Easy to deploy within a variety of architectures/environments.
• Open source so new features are added regularly and bugs are fixed in a timely manner.
• Free so there are no licensing restrictions.
• Endorsed by the Cloud Native Computing Foundation.

Incentivized

• Learning curve is very steep
• Longer term log insight is a challenge
• Very easy on AWS, integration with other systems can be more of a challenge

Incentivized

• Customer Service: since this is an open-source tool, customer service is not that great. Generally, you get all answers to your problems in online forums, but in case you got stuck, nobody will assist you in a channelised manner. You will have to find the way out on your own, and it may become frustrating at times.
• More metrics for dashboards shall be added per the application being monitored. Standards metrics will work in most cases but may not in specific applications. Therefore, customised metrics shall be created for some of the industry-standard niche applications.

Incentivized

Grafana Loki makes accessing and viewing service logs easy for engineers who may not be familiar with going into service. However, useability can be limited if engineers are unaware of what the queries should look like or where in the service to direct Loki to look for logging.

Incentivized

It is usable and one can learn if few people in the team are already using it. It can be difficult to understand at the beginning because of non intuitive UI and syntax of the rules. So, I've gone for 7 points as there is some room for improvement in user interface and rules syntax.

Incentivized

Never had to reach out to them.

Incentivized

First and foremost if Grafana Loki is based on CNCF open source projects so organizations can get freedom to choice to configure it at your own other main thing is Grafana Loki is totally free of cost and we can deploy it on our infrastructure. On compared with other managed services like Datadog, New Relic it is very expensive and we also don't have much control on the tools we use.

Incentivized

Highly customized pricing plans to choose from. Lower pricing for the same features compared to competitors. Easy to reach the support team, which provided detailed documentation and helped set up the Prometheus. Monitoring metrics gets very easy after the integration with Grafana. It also has a sophisticated alert setting mechanism to ensure we don't miss anything critical.

Incentivized

• Company wide (realtime) insights in complex aws setup is great
• Dashboarding options are easily set up

Incentivized

• We are still working on the ROI
• The ROI mentioned during the purchase has not been achieved, however this could be due to lack of data from our side. 2 years of implementation is too early to calculate and confirm the ROI.

Incentivized