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).
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.
share post Gaming is a vast industry that is continuing to grow. Multi-player cloud-based games especially are becoming more popular and taking the market by storm. With everything going on in the world, it’s no wonder people are looking for a bit of downtime and a way to escape the tribulations of everyday life. Game developers face many challenges in order to get their games on the screens of as many global players as possible.
share post Amazon Web Services (AWS) is almost ubiquitous with the terms “cloud computing” to many. With over 175 services, it is easy to understand why the growth and branding are strong. Here’s a fun game: Which of these is NOT the name of an AWS Service offering: They all are. It is likely you may have heard of many of these, but not all. It is less likely you can give a two-sentence brief on each of them or know what they do. Cloud computing often runs into a problem of scale.
As our CEO Kevin McGibben stated during LogicMonitor’s Level Up virtual customer conference last month, “LogicMonitor is well on its way to becoming a unified IT observability platform.” As of this morning, we are one step closer to fulfilling our product vision of becoming the most comprehensive, extensible, and intelligent monitoring platform in the world.
Observability is made up of metrics, logs, and traces. These pillars help us understand the behavior of applications under normal execution, which further accelerates identifying anomalies in case of application failure or deviation from normal execution. Logging is not about tracing each and every operation, it is about sensible, consistent, and machine-readable log messages that expose the application behavior.
In 1927, the world was introduced to the origins of Artificial Intelligence (AI) in the form of a robot in the movie Metropolis. Throughout nearly a century since then, movies have continued to iterate on the complexities of AI, as both a fun take on it and serious commentary on the potential concerns and consequences. This is all well and good, but as AI has continued to evolve, we find ourselves asking, “how can we actually use this to make our lives easier?”
Technology trends transform human behavior permanently. In the past decade, we have improved as a society by embracing digital lives that drive faster collaboration and automation and save us a significant amount of time. The IT Operations landscape is not any different, and artificial intelligence (AI) is at the forefront of that.
If you’re reading this article, you’re most likely looking for a simple one-stop-shop way to understand logs. I’m sorry to be the one to tell you this, but logs are not simple enough to deal with easily. In fact, as you start approaching this topic on a practical level you’ll quickly realize how complex and annoying it truly is.
A key topic of conversation that comes up again and again with our customers is the challenge of collaboration in a remote work environment. Too many channels of communication or documentation are ineffective, and IT professionals are starting to feel fatigued by never feeling quite “in the know” with business decisions that are happening in real-time. When separated from colleagues, teams can feel distant and unmotivated or find it hard to stay focused.
