Operations | Monitoring | ITSM | DevOps | Cloud

A multicloud strategy is a necessity for modern businesses, as the recent AWS outages made clear, but managing this infrastructure remains a huge challenge. Infrastructure management teams have long struggled to juggle diverse technology solutions, policies and services to get access to a point-in-time view of their resources. The result is either waste through overprovisioning or huge overheads for nitpicking manual management and repetitive tasks.

Observability came out of microservices and cloud-native, right? If you have a simpler architecture, does o11y matter?” — this question came up during recent office hours Yeah, sort of. On both counts—yeah, it sorta came out of microservices and cloud native, and yeah sorta, you need it with a simpler architecture (though perhaps not as desperately as you otherwise might).

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!

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.

Software companies face more challenges than ever before to keep pace in an ever-evolving industry that requires innovation and reliability. The pressure to adapt to fast-moving and sophisticated technologies can easily create silos amongst teams and a lack of visibility within organizations. With legacy technology stacks and systems now in the rearview mirror, the focus of large-scale software development has shifted to ensuring standardization and distributed computing in a growingly serverless world.

In preparation for the upcoming Developer Observability Masterclass we’re hosting at Lightrun with Thoughtworks and RedMonk, I sat down for a brief interview with Tom Granot – the Director of Developer Relations at Lightrun. Tom will MC the event as he did for the Developer Productivity Masterclass we ran back in December.