Logs play a critical role in monitoring your applications and systems in terms of health, system behavior, and problem diagnosis. However, logs can assuredly bring value only if they are structured and well-formatted. Effective log formatting can help identify an issue to fix on time rather than having to sift through unorganized, hard-to-read logs. In this blog, we delve into 7 super-effective practices for production logging to help you maximize your log analysis capabilities.

In today’s complex environments such as cloud-native technologies, containers, and microservices-based architectures, reliable log monitoring is crucial for keeping your systems secure and resilient. Continuous monitoring enables organizations to stay in-control, providing proactive insights into system health and performance. With platforms like AWS, GCP, and Azure churning out massive amounts of logs, it’s easy to get overwhelmed.

One of the biggest challenges for some of our customers was allowing non-engineering teams, such as Support, Sales, or Sustomer Success teams, to raise incidents for specific Dev/Infra/Security/Ops teams on Zenduty in a structured and efficient manner as soon as a customer reports an issue. In many organizations, we observed that non-technical team members often needed to switch between platforms, fill out complex forms, or reach out to multiple stakeholders manually to ensure that an issue is escalated.