Modern businesses are evolving rapidly with the advent of cloud, CI/CD and microservices. However, there still exists an extensive and obvious divide between principle business stakeholders and developmental teams. Development teams are often unaware of the challenges faced by operations teams and vice-versa. This is where a need for adoption of DevOps principles comes into the picture. DevOps which came into existence as the natural successor to Agile practices in software development.
In any platform of sufficient complexity, multiple anomalies are likely to occur. For many organizations, NOC operators triage multiple anomalies based on their severity. There are internal, non-customer-facing issues that might affect only a small part of your workforce and one-time issues that affect only a small number of customers. Both of the issues get ticketed and sent to low-level support.
Digital transformation is not just a buzzword. It’s real, it’s happening and there is no escaping it. IT teams strive to propel their businesses towards growth and innovation. That’s why 2019 is all about transformative projects in tech: CIOs are planning to increase their investments in cloud technology (67 per cent), AI and machine learning (54 per cent), and emerging tech vendors (41 per cent).
Let’s start with simple definitions. Time series data is largely what it sounds like – a stream of numerical data representing events that happen in sequence. One can analyze this data for any number of use cases, but here we will be focusing on two: forecasting and anomaly detection. First, you can use time series data to extrapolate the future.
As discussed in a previous blog, here at LogicMonitor, we are in the process of rolling out a new user interface (UI) which is designed to streamline workflows, reduce clicks, and include powerful new features. So what’s new in the alerts page?
