Operations | Monitoring | ITSM | DevOps | Cloud

Google Analytics was the go-to analytics tool. It set the standard, we all learned on it, and we all used it. But Google Analytics 4? It’s a nightmare. I’ve tried to figure it out for weeks and it’s just…confusing.

We are excited to announce the release of Graylog 5.1! A follow-up to our 5.0 release, Graylog 5.1 brings updates across our entire product line, including changes to infrastructure, Security, Operations, and our Open offerings.

The platform development team at Endeavor Streaming has a critical mission — from balancing operation of the company’s leading digital video platform, at scale, to ensuring everything in their complex cloud environment is performing as expected. Enabling the company to confidently build on top of its platform and continue to evolve their product delivery is thereby also dependent on maintaining detailed visibility into its supporting cloud applications and infrastructure.

Business applications can be a powerful tool and streamline almost any business process. As a result, many companies and their team members are requesting mobile apps to reduce costs and enhance efficiency. The problem? There aren’t enough developers to build these apps for them. In fact, more than a third of respondents in a recent survey said that recruiting developers will continue to be challenging in 2023.

In both business and project management, two concepts that you need to pay attention to are the outputs and the outcomes. These help you to measure not only the result — but the impact as well. The two measurements go hand-in-hand, but many people focus on only the outputs, missing the bigger picture from the outcomes.

The Honeycomb design team began work on Lattice in early 2021. Over several months, we worked to clean up and optimize typography, color, spacing, and many other product experience areas. We conducted an extensive audit of all components, documenting design inconsistencies and laying the foundation for a sustainable design system. However, a more extensive evaluation and audit were necessary before updating or developing components.

Python is a highly versatile language. From software engineering to machine learning and data analysis, it’s everywhere. As a multipurpose scripting and programming language, it’s often utilized for manipulating and working with data. So, when you’re working with Python, whether you’re analyzing data or writing scripts, you’re likely to encounter dates and time stamps.