Operations | Monitoring | ITSM | DevOps | Cloud

New Relic and Kibana are popular monitoring and observability tools that provide a wide range of features for analysing and visualizing data. In this post, I have compared New Relic and Kibana based on key aspects such as data ingestion, dashboards and visualizations, log management, alerting, pricing and more. Lets take a look at each tool's capabilities, strengths, and weaknesses to help you understand how they differ and which one is best suited to your needs.

Imagine your PostgreSQL database slowing down unexpectedly, causing delayed queries, application timeouts, and frustrated users. In a data-driven world, database performance issues can lead to downtime, lost revenue, and poor user experience. PostgreSQL monitoring tools help detect and resolve performance bottlenecks, ensuring optimal database health, efficient query execution, and high availability.

Dynatrace and Grafana are popular tools when it comes to monitoring and observability. In this post, I have compared Dynatrace and Grafana on important features like APM, log management, infrastructure monitoring, pricing, etc.

PromQL (Prometheus Query Language) is a powerful and flexible query language used to retrieve and manipulate time-series data stored in Prometheus. One of its lesser explored but immensely valuable features is its ability to handle facets, a concept that can simplify complex metrics analysis and enhance observability. In this blog, we will dive deep into PromQL facets, exploring what they are, why they matter, and how you can use them to gain better insights into your systems.

Structured logging has emerged as a crucial aspect of modern application development and monitoring. Unlike traditional logging, structured logging organizes log data into a defined format, often in JSON or XML, making it easier to parse, search, and analyse. This practice simplifies troubleshooting, enhances observability, and supports seamless integration with monitoring tools.

Databases are the foundation of modern applications, right from e-commerce platforms to social media networks. As the need for real-time data increases, businesses require tools that ensure their databases function efficiently. These database monitoring tools play a crucial role in preventing downtime, improving the speed of data retrieval, and scaling operations as business demands grow.

Data indexing and search are essential for quickly retrieving relevant information from large datasets. They help improve efficiency, save time, and support better decision-making by making data easily accessible. Elasticsearch has been a popular choice for data indexing and search, but newer tools like Quickwit now offer alternatives for specific needs. The right choice depends on performance, scalability, cost, and how well it fits your use case.

Observability tools are crucial for maintaining the seamless performance and reliability of systems. Dynatrace has been one of the leading solutions for monitoring and observability over the past few years. However, there are many alternatives that provide similar features, often at more accessible price points and with unique capabilities. In this article, we will explore the best Dynatrace alternatives for 2025 to help you find the right fit for your organization.

RabbitMQ is a powerful, reliable, and widely used message broker that forms the backbone of modern microservices architectures. However, ensuring its performance and reliability requires proactive monitoring of key metrics. In this blog, we will explore the essential RabbitMQ metrics, their units, possible issues, solutions, and how tools like Atatus can simplify monitoring and troubleshooting.

Apache Kafka has become the backbone of modern data pipelines, enabling real-time data streaming and processing for a wide range of applications. However, maintaining a Kafka cluster's reliability, performance, and scalability requires continuous monitoring of its critical metrics. This blog provides a comprehensive guide to Kafka monitoring, including key metrics, their units, potential issues, and actionable solutions.