In the dynamic landscape of modern application development, managing telemetry across diverse environments and technologies can be a daunting task. Adding to that challenge is the multiple groups that are involved in the software development life cycle within an organization.

We’re Nik and Anton, founders of Coroot. We’ve built a tool that boosts the reliability engineering skills of your team. Think of it as your personal assistant who has not only found the root cause of an outage but also suggested a list of possible fixes. Having a background in managing IT ops teams and building a cloud monitoring platform, here are my observations based on my experience: We’ve built Coroot under the belief that more than 80% of issues can be detected automatically.

The manufacturing sector is at a crossroads. Industry 4.0 brought with it a wave of innovation, with the industrial internet of things (IIoT), advanced automated, and AI-driven analytics. Now, we’re experiencing the onset of Industry 5.0, where humans work alongside smart machines to create more sustainable products, services, and supply chains.

Facing rising technical complexity and pressure from regulators, these are challenging times for financial services organizations. Given the near- and long-term uncertainties, organizations must focus on what’s coming next. That includes navigating technological disruption and the way it’s shaping experiences and expectations for employees and customers alike. Now, 73% of banking interactions happen over digital channels.

Editor’s Note: This is the second installment of a series of blog posts previewing our State of Observability 2024 survey report. In the first episode of this blog series, we looked at where IT organizations are in their observability journeys and found, rather surprisingly, that most enterprise IT organizations and MSPs were just getting started in observability. Yet 96% of respondents told us their observability solution was delivering the value they expected.

DataDog and Grafana are leading tools in the monitoring and data visualization space. While they share some common ground, their approaches and strengths differ significantly. This comprehensive guide will help you choose the right tool for your specific needs in 2024.

Observability in IT refers to the ability to measure a system's internal functioning by studying its signals from the outside. Modern IT observability is achieved through three kinds of telemetry: metrics, traces, and logs. Metrics aggregate events to gauge a system’s current state. Tracing tracks the progress of each transaction to not only measure performance but also debug the problem. On the other hand, logs record each event, which can help during troubleshooting.

This is the third and final post in a series of blog posts about the disconnect between modern IT and security teams and the vendors they’re forced to work with. If you’re looking for the first and second posts, you can find them here and here.

Software is in a crisis. This is nothing new. Complex distributed systems are perpetually in a state far from equilibrium, operating in what Richard Cook has called a “degraded mode.” It’s through a combination of technical artifacts, organizational practices and policies, and pure gumption that they manage to maintain themselves through time. However, there are some organizations that seem to have an easier time of it than others.