Operations | Monitoring | ITSM | DevOps | Cloud

Business Intelligence (BI) tools have taken the business world by storm. According to new research, over 80% of executives believe that tools such as advanced visualization, dashboards, and reporting are critical tools when it comes to parsing data. However, many end users aren’t bringing in those dashboards because they really use them, rather they are hoping to get a sense of security (incorrectly) that they will know everything about their business.

Software is eating the world. How we spend time, what we eat, who we meet, how we communicate, where we travel... is defined by the code. Increasingly, software is calling the shots and telling humans what to do. With deep learning, this trend is just going to accelerate. The most powerful companies that used to rule the world with professional, skilled executives are becoming incumbents getting disrupted.

Today, I’m excited to announce a partnership between Logz.io and Microsoft Azure. With this partnership, Logz.io is now offering Azure customers a fully managed, scalable machine data analytics platform built on ELK and Grafana. What does that mean? Azure customers can now easily deploy, run, and scale ELK without the hassle and pain of maintaining and managing the stack themselves.

These days we spend a lot of time talking about modernizing our stack, modernizing our architectures, using new application components, modern application life cycles, etc. So, what is this all about and why do we spend so much time talking about it? First, there is a lot of self-serving vendor speak involved…starting with cloud providers and closely followed by open source commercialization shops and commercial ISVs (ourselves included) who have to spin the world in their own image.

The situation is all too familiar: You get an alert. You look at your metrics and your dashboards to try and find out what the cause might be and when the incident actually started (instead of when the alert happened). Then you have to go somewhere else to look at logs because eventually you need more data.