I recently had the pleasure of hosting a webinar with the team over at Rudderstack. It focused on Data Engineering and managing dynamic schemas at scale. More specifically, Rudderstack-generated, dynamic schemas at scale. This blog will discuss the tools, software, and methods to do just that.
In the ScienceLogic webinar, “Clearing the Path for Automated Operations,” we look at how one global technology organization got their IT house in order through the application of AIOps and a strategic approach to implementation, based on ScienceLogic’s AIOps Maturity. ITOps teams are overloaded with manual, repetitive work that creates management bottlenecks and takes time away from new projects.
In a never-ending game of cat and mouse, threat actors are exploiting, controlling and maintaining persistent access in compromised cloud infrastructure. While cloud practitioners are armed with best-in-class knowledge, support, and security practices, it is statistically impossible to have a common security posture for all cloud instances worldwide. Attackers know this, and use it to their advantage. By applying evolved tactics, techniques and procedures (TTPs), attackers are exploiting edge cases.
Are we looking at the new normal now? In the last 18 months, organizations all over the world were compelled to undergo a rapid digital transformation and mature their operations to support services that were under unprecedented strain. Digital transformation allows companies to embark on large-scale cloud migrations and adopt modern development methods like DevOps and Agile.
Your feedback is what makes Honeycomb better. We ship changes often (you can see updates in real time on our changelog), so it can be easy to miss some of the new improvements that can help you get the most out of Honeycomb. Whether it’s a big new product feature or an enhancement of existing features, you may not always be up on the latest goodness waiting for you in Honeycomb.