In recent years, microservices have emerged as a popular architectural pattern. Although these self-contained services offer greater flexibility, scalability, and maintainability compared to monolithic applications, they can be difficult to manage without dedicated tools. Kubernetes, a scalable platform for orchestrating containerized applications, can help navigate your microservices.

Mezmo, formerly known as LogDNA, offers log analytics without any native capabilities around metrics and tracing data. While Coralogix’s full-stack observability supports logs, metrics, tracing and security data, for the purpose of this comparison with Mezmo, we will focus primarily on logs.

Google Cloud Platform (GCP) offers a wide range of features to support their core deliverable, highly available and scalable infrastructure-as-a-service. One of the features—GCP’s log management and available via GCP Log Explorer— is offered to support customers’ basic logging requirements.

Observability architecture and design is becoming more important than ever among all types of IT teams. That’s because core elements in observability architecture are pivotal in ensuring complex software systems’ smooth functioning, reliability and resilience. And observability design can help you achieve operational excellence and deliver exceptional user experiences. In this article, we’ll delve into the vital role of observability design and architecture in IT environments.

How you choose to store and process your system data can have significant implications on the cost and performance of your system. These implications are magnified when your system has data-intensive operations such as machine learning, AI, or microservices. And that’s why it’s crucial to find the right data format. For example, Parquet file format can help you save storage space and costs, without compromising on performance.