Introduction In today’s digital landscape, compliance with various regulatory frameworks like GDPR, HIPAA, and PCI-DSS has become a necessity rather than an option. Non-compliance can lead to hefty fines, reputational damage, and even legal consequences. While the responsibility of adhering to these regulations falls on every part of an organization, platform engineering plays a critical […]

In the complex world of platform engineering, effective logging is more crucial than ever. But one question often pops up when designing a logging strategy: Should you opt for centralized or decentralized logging? This post aims to provide an in-depth look at both approaches, offering insights to help you decide which is the best fit

In today’s complex software ecosystems, monitoring isn’t just a luxury—it’s a necessity. When it comes to platform engineering, the task of choosing the right monitoring tools and integrating them effectively into your system can be daunting. There are myriad options available, each with its own set of features, capabilities, and limitations. How do you select

Monitoring and logging provide the fundamental metrics and insights necessary for assessing system health, but when it comes to deeply understanding a system’s inner workings and dependencies, tracing and observability take things to an advanced level. In this post, we’ll explore what tracing and observability are and how they fit into a platform engineering perspective.

In the fast-paced world of digital services and interconnected systems, the old adage “time is money” has never been truer. This is particularly applicable to the realm of platform engineering, where systems are expected to be both resilient and responsive. Here, real-time monitoring becomes not just a convenient feature, but an indispensable asset for any