Operations | Monitoring | ITSM | DevOps | Cloud

Security teams are in a difficult position: they continue wrestling with persistent problems, such as overwhelming alert volumes and staff shortages, while confronting new ones driven by the abrupt shift to remote work. For instance, attaining real-time, deep visibility into cloud environments may have been on SOC roadmaps before 2020, but the capability is now a pressing need.

Before I get started on how excited I am to see LogicMonitor launching a logging product, here’s a little background information. This blog is probably a blast from the past for many longtime LM employees and customers. I served at the company for over seven years, starting from back when it was just a few of us trying to see if a SaaS monitoring product would be accepted in the marketplace (while seemingly crazy to say now, SaaS was a tough sell back in 2011).

The ever-evolving cloud-native landscape creates constantly changing attack surfaces. As a result, teams implement a whole suite of security tools to identify large varieties of vulnerabilities and attacks, as well as monitor more logs than ever to find malicious activity. But monitoring so much information can cause a barrage of notifications and alerts. Even if you’re identifying real security threats, it can be impossible to know where to start and where to focus.

User experience (UX) is everything today. Poor digital experience can easily and quickly reflect in your client list and thus, your bottom line. It starts from the first user interaction with your website or webapp and ends with… well, it never quite ends. User experience is, in fact, a continuous process that goes on and on until the user decides to stop using your product.

This past year we’ve been hard at work building LM Logs to help ITOps and DevOps teams troubleshoot more efficiently. Today we are happy to announce that LM Logs is generally available! LM Logs is an intelligent log monitoring solution that analyzes 100% of log data and surfaces it contextually with metrics and alerts for faster troubleshooting.

This short guide for conducting successful big data analysis will take you through a couple of the most essential tips to help you learn how to analyse data & become a better data analyst by avoiding rookie mistakes and embracing the correct mindset to get the most from your data. We’ll also cover some of ways that conducting effective data analysis can help your organisation.

With an ever growing list of infrastructure improvements, new features, and issues to debug, setting up your observability tools to keep up with best practices can fall down your list of priorities. There’s simply not enough time to set up new dashboards that can give you the visibility you need to be proactive with your infrastructure.