Today, the Honeycomb OpenTelemetry Distribution for Java reaches a major milestone with a 1.0 release. This is the first Honeycomb OTel Distro to come out of beta and go into the general release category, and you can expect more to come!

Manufacturers accelerating Industry 4.0 are facing challenges associated with complex cloud-based systems and highly interconnected things. Full-stack observability provides the insights needed to ease transitions and deliver organizational agility required for growth.

Enterprise data systems are like busy family households. You see a constant flow of activity to varying degrees from room to room. This activity includes people wandering, opening and closing doors. And then there are other streams constantly flowing through the household- electricity, water, Wi-Fi networks and more. In modern enterprises, the data deluge is a critical issue. While we take the complexity for granted in a household, such is not allowed in a connected enterprise.

Observability is a new term that’s slowly entered the mainstream over the last two years. Today it’s used in the context of monitoring, but it’s much more than that. And it also goes way beyond visibility. So, in this blog, we set out to explore observability vs visibility and find out, what’s the difference? In a recent podcast, our friends at Riverbed neatly explained that seeing and observing are two different things, and can be compared to hearing vs listening.

Honeycomb is an application monitoring tool that helps DevOps and SRE teams to operate more efficiently by offering rich observability solutions and intuitive team collaboration. It helps understand complex relationships within your distributed systems and troubleshoot issues accordingly. Squadcast is an end-to-end incident response tool. Built with an SRE mindset, it streamlines all the incident response activities.

To supervise the behavior of distributed applications and track the origin of service failures and downtime, developers often use traditional monitoring technologies and tools. However, this approach can fall short in its ability to measure the overall health of modern cloud-native architectures, which can span multiple hosting environments and encompass hundreds of microservices.