Operations | Monitoring | ITSM | DevOps | Cloud

September 2021

Apache Kafka Tutorial: Use Cases and Challenges of Logging at Scale

Enterprises often have several servers, firewalls, databases, mobile devices, API endpoints, and other infrastructure that powers their IT. Because of this, organizations must provide resources to manage logged events across the environment. Logging is a factor in detecting and blocking cyber-attacks, and organizations use log data for auditing during an investigation after an incident. Brokers, such as Apache Kafka, will ingest logging data in real-time, process, store, and route data.

Why LogDNA Received the EMA Top 3 Award for Observability Platforms

We’re honored to be included in Enterprise Management Associates’ EMA Top 3 Award for Observability Platforms. This award recognizes software products that help enterprises reach their digital transformation goals by optimizing product quality, time to market, cost, and ability to innovate—all the things we’re passionate about at LogDNA.

Taming Rails Logging with Lograge and LogDNA

Rails is a classic on Ruby for a reason. The framework is powerful, intuitive and the language has a low entry bar. However, being designed when systems existed on a single server, standard Rails logging is excessively fractionalized. Even on a single server, a straightforward call can quickly turn into seven unique, unconnected logs.