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· 8 min read
Favour Daniel

Splunk and Prometheus are popular monitoring tools used today by businesses and companies for monitoring data. Splunk is an enterprise monitoring tool that specializes in searching, monitoring, and analyzing machine-generated big data, while Prometheus is primarily for metrics monitoring. In this article, we will compare Splunk and Prometheus against their key features.

· 15 min read

Your application or website is slowing down, leading to a surge in customer complaints and a noticeable drop in sales. Comprehensive infrastructure monitoring is the only way to identify and fix the root cause of such an issue. But with the abundance of infrastructure monitoring tools in the IT space, how do you know which one is ideal for your use case?

In this article, we provide a quick refresher on what infrastructure monitoring, outline features to look out for in a best-fit solution and highlight the top infrastructure monitoring tools available in the market.

· 17 min read
Mary Ayobami

Log aggregation is essential in software systems. In a distributed software system, there are numerous components that generate logs. Log aggregation tools centralize data from various sources, enabling efficient monitoring, troubleshooting, and analysis. This centralized approach makes monitoring, analysis, and troubleshooting much easier

· 14 min read
Debanjan Choudhury

Datadog and Dynatrace are popular tools when it comes to monitoring and observability. In this article I have compared Datadog and Dynatrace across different aspects like getting started, infrastructure monitoring, log monitoring, pricing, etc.

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💡 This article is my personal take based on the experience I had when integrating Datadog and Dynatrace. Some takeaways are subjective based on my personal preference

· 14 min read
Gargi Ghosal

Kibana is one of the most popular data visualization platforms with its built-in anomaly detection, custom visualization options, or relational analysis. An integral part of the ELK stack, it helps you query and present your data on dashboards in the form of graphs and charts.

But one of the major drawbacks of Kibana is that it can only work with Elasticsearch as the data source. As a result, scaling Kibana independently can be a challenge for organizations. Additionally, its poor support for metrics might lead users to seek alternative solutions.

· 11 min read
Favour Daniel

DataDog and Splunk are popular monitoring and observability tools that provide a wide range of products with similar features. In this post, I have compared Datadog and Splunk on important features like APM, log management, search capability, etc.

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💡 I instrumented a sample Python application and sent data to Datadog and Splunk to evaluate my experience. Some takeaways are subjective and based on personal preference.

· 10 min read
Favour Daniel

New Relic and Splunk are popular monitoring and observability tools that provide a wide range of products with similar features. In this post, I have compared New Relic and Splunk on important features like APM, log management, search capability, application security, etc.

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💡 I instrumented a sample application and sent data to New Relic and Splunk to evaluate my experience. Some takeaways are subjective and based on personal preference.

· 13 min read
Favour Daniel

New Relic and Prometheus are popularly used tools for monitoring applications and systems. New Relic excels in providing comprehensive application monitoring solutions, while Prometheus specializes in metric collection.

In this post, I have compared New Relic and Prometheus on important features like data collection, visualization capabilities, APM, data storage, etc.

· 15 min read
Favour Daniel

Prometheus and Grafana are popularly used tools for monitoring applications and systems. Prometheus specializes in robust metric collection, monitoring, and alerting, while Grafana excels in data visualization and dashboarding. Together, they form a powerful duo, allowing users to monitor their systems effectively, analyze metrics comprehensively, and visualize insights intuitively, but how well do these tools perform individually?

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💡 I configured a sample PHP application alongside a MySQL database and sent their data to Prometheus and Grafana for evaluation. Some takeaways are subjective and based on personal preference.