When following any sort of process — be it the steps you take to cook a meal or the order in which you book and pack for a vacation — you want to be proactive in preventing issues down the line.

Amidst ongoing challenges, a competitive landscape and rising customer expectations, it's become critical for tech companies to constantly evolve. As applications or systems continue to grow, so does ...

In the context of LLM-powered applications, observability extends far beyond uptime or system health; it is about gaining ...

Cloud-native technologies have taken centre stage ever since they were introduced. They have reshaped the landscape of application development, delivery, and operations, creating a new competitive ...

My first blog post in 2005 was about application logging, and I shared 10 practices I hoped my development team would follow. Today’s devops implementations around observability are more sophisticated ...

Observability is a bottom-up process for capturing data on an AI agent’s inputs, decisions, and operations. Before delving ...

A roundtable discussion at KubeCon Europe revealed that the biggest change in observability is not technical, it's linguistic ...

Data is becoming increasingly important to companies as it offers several operational, security, compliance and productivity benefits. Organizations that want to get the maximum value from data must ...

As organizations continue their digital transformation, the demand for timely, consumption-ready data has never been higher. Yet simply adopting data operations tools is not enough to improve data ...

AI will play an increasingly critical role in pinpointing cybersecurity problems faster than human analysis, especially in resource-constrained environments, says the chief information security ...

OKKAMI was proud to join Datadog Live Bangkok as a guest panelist, sharing insights on observability, AI-driven ...