There’s so much hype around the use of AI in observability — but how does that translate into making tangible progress with your day-to-day tasks? At Logz.io we’ve introduced an AI-based chatbot assistant to the Open 360 platform that automatically delves into your stack, fine-tunes your workflows and enables conversation directly with your systems and data.

Learn more about systems engineering and how to get started with these key resources curated by Google’s Site Reliability Engineering (SRE) team.

The ELK (Elasticsearch, Logstash, and Kibana) stack is a centralized logging solution that provides users with comprehensive log searches in a single location. The extensive features and varying uses that the solution offers have led to it becoming one of the most popular tools currently available.

Last week, on June 3 -5, I attended the Gartner Security and Risk Summit in National Harbor, MD to learn about the latest trends and happenings in security. One thing was clear, artifical intelligence (AI) is the hot topic along with the growing cybersecurity staff shortage due to burnout and lack of talent.

We’re excited to announce that soon after the acquisition, Splunk and Cisco started teaming up to deliver engineers and ITOps teams with an improved leading observability experience. With the forces of Splunk and Cisco joined together, observability practitioners will be able to enjoy a new level of troubleshooting and monitoring across their entire stack, regardless of their deployment model.

A while back, we covered how to check your Windows IIS and Loggly logs to view the source of a DDoS attack, but how do you know when your network is under attack? It is not efficient to have humans monitor logs every day and every hour, so you must rely on automated resources. Automated DDoS monitoring gives your security team more bandwidth to focus on other important tasks and still get notifications should anomalies happen due to a DDoS event.