Logstash is an open-source log processing pipeline that ingests data from multiple sources, then transforms and sends it to various destinations. Despite its flexibility, Logstash might not always be the best fit for your specific requirements. In this article, we will look at the top alternatives to Logstash that you may want to consider for your application needs.
Cloud monitoring tools allow you to keep your cloud resources in check and ensure that they are healthy and performant. This includes your infrastructure, applications, databases, network, disk usage, and more.
Monitoring AWS resources is crucial for several reasons, such as performance optimization, cost management, security, and compliance. AWS itself offers a lot of handy monitoring tools to monitor different aspects of AWS services.
Logs are essential for diagnosing downtimes, identifying security breaches, and troubleshooting errors. As systems and applications are in operation, they tend to produce a vast array of log files depending on the complexity of the system, the number of applications running, and the configurations in place. In the event of an application or system error, manually gathering and reviewing these logs for troubleshooting purposes can be time-consuming.
Are you looking for a PostgreSQL database monitoring tool? Then you’re at the right place. PostgreSQL is a powerful, open-source object-relational database system used by various organizations due to its robust features and flexibility.
AppDynamics is a popular app and infrastructure monitoring solution. It has an AIOps-driven alert system that makes it a full-stack solution for several monitoring use cases. But despite its capabilities, users usually seek alternatives. This article is a deep dive into why.
Datadog and AppDynamics are observability and monitoring tools that provide visibility into the performance and reliability of applications and systems.
Datadog stands out for its comprehensive approach to system performance observability. It provides a broad spectrum of monitoring capabilities, including infrastructure monitoring, application performance monitoring (APM), log management, and real user monitoring (RUM).
Datadog and Elastic Stack are both widely used platforms for monitoring and analyzing data, offering comprehensive solutions for various use cases including log management, infrastructure monitoring, application performance monitoring, and more.
Datadog and Sentry are monitoring tools but with different use cases. Datadog is tailored towards application performance and full stack observability of systems while Sentry specializes in identifying and reporting application errors.
In this post, I have compared Datadog and Sentry on important features like error monitoring, APM, log management, etc.
💡 I instrumented a sample Python Application and sent data to both Datadog and Sentry to evaluate my experience. Some takeaways are subjective and based on personal preference.
Dynatrace and AppDynamics are both leading providers of application performance monitoring (APM) and digital experience monitoring (DEM) solutions. They provide visibility into application health, databases, networks, infrastructure, and services, but they differ in their approach.