The 1981 book Simulacra and Simulation by Jean Baudrillard is widely read and cited within academic circles but also permeates popular culture, influencing films, literature, and art. His theories notably influenced the Wachowski siblings' The Matrix series, bringing some of his ideas into mainstream awareness.

We are excited to announce an integration between ilert and Honeycomb, offering users an enhanced experience in observability and incident management.

At a recent SRE Meetup in Bangalore, we had the pleasure of meeting Akshay Deshpande. During our conversation, Akshay, who manages a Performance/Observability Engineering team at Smarsh discussed his passion for observability and his constant drive to improve the field. Smarsh helps companies gain valuable insights from their communication data, enabling them to proactively identify potential regulatory and reputational risks before they escalate.

I recently had the privilege of attending KubeCon + CloudNativeCon Europe 2024 in Paris. The conference, hosted by the Linux Foundation, marked the 10th anniversary of Kubernetes. Here are the key takeaways and highlights from the conference.

What do you need to achieve observability? Who you ask and the role they hold will influence the answer, but the answer likely follows this pattern: “You only need is how you define observability.” I cannot disagree with this logic. A specific use case may only need a specific type of telemetry. Experience and expertise allow engineers to quickly answer questions about a system without expanding into adjacent data types.

Without a doubt, you’ve heard about the persistent talent gap that has troubled the technology sector in recent years. It’s a problem that isn’t going away, plaguing everyone from engineering teams to IT security pros, and if you work in the industry today you’ve likely experienced it somewhere within your own teams. Despite major changes in the tech landscape, it is clear that organizations are still having significant difficulty keeping their technical talent in-house.

Observability is the ability to understand the internal workings of a system by measuring and tracking its external outputs. In technical terms, it entails collecting and examining data from numerous sources within a system to attain insights into its behavior, performance, and health. All organizations are now familiar with how essential observability is to ensure optimal performance and availability of their IT infrastructure.

We’re excited to bring you relational fields, a new feature that allows you to query spans based on their relationship to each other within a trace. Previously, queries considered spans in isolation: You could ask about field values on spans and aggregate them based on matching criteria, but you couldn’t use any qualifying relationships about where and how the spans appear in a trace.