Operations | Monitoring | ITSM | DevOps | Cloud

We’ve known for years that context switching is detrimental to productivity. Both computers and humans become less productive with each additional concurrent task or priority. Every time you need to shift your focus between projects, you lose approximately 20% efficiency as you figure out where you left off, what needs to be done, how the work fits into the project, etc.

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.

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.

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.

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.

As technology evolves in the enterprise, oftentimes the processes and tools used to manage it must also evolve. The increased adoption of Kubernetes has become a major inflection point for those of us in the monitoring and management side of the IT operations world. What has worked for decades (traditional infrastructure monitoring) has to be adjusted to the complexity and ephemeral nature of modern distributed systems where Kubernetes has a prime role.

Enterprises have enough data, in fact, they are overwhelmed with it, but finding the nuggets of value amongst the data ‘noise’ is not all that simple. It is bucket’d, blob’d, and bestrewn across the enterprise infrastructure in clouds, filesystems, and hosts machines. It’s logs, metrics, traces, config files, and more, but as Jimmy Buffett says, “we’ve all got ’em, we all want ’em, but what do we do with ’em”.