Understanding the context of an IT incident can greatly reduce the MTTR and enhance the ability to determine the root cause. In an IT environment, ‘context’ is used to refer to the subset of information necessary to troubleshoot and diagnose an incident, or event. For some scenarios, the context may be the downstream dependencies after a high availability pair of firewalls goes offline, and in others, it may be the datastore in contention from multiple VMs.

LogicMonitor’s topology mapping functionality provides users with a scalable mapping solution that operates on an additive approach for establishing topological context (this means we only show what is necessary for your current viewing purposes).

“Value ++” One of our engineers on the TechOps team coined that term. It references the shorthand operator for “increment” in various coding languages. It also is a motto for what we should be doing as a team… always adding value.

Azure Backup is a cloud-based backup service that enables you to effectively protect data. With Azure Backup, data for different Azure cloud and on-premises components can be backed up, stored in a cost-efficient manner, and recovered as needed. At LogicMonitor, we commonly get asked about monitoring these backup services.

There is a lot of industry buzz around how AIOps will affect change within IT Operations (ITOps). According to Gartner, Inc., the term “AIOps” describes platforms that combine big data and machine learning to support ITOps. This means that the problems being solved aren’t novel, the approach is. In ITOps or any other business unit, there are two primary constraints: time and money.

We’re excited to share that Gartner, Inc. has positioned LogicMonitor in the 2018 Gartner Magic Quadrant for Network Performance Monitoring and Diagnostics* (NPMD) for the first time in the quadrant’s history.

A Configuration Management Database (CMDB) contains all relevant information about the hardware and software components used across an organization’s IT environment. Even more important, a CMDB defines the relationships and interdependencies between those assets. This makes it easy to understand, manage and report on the service being delivered.

Google Kubernetes Engine (GKE) is a managed Kubernetes service that makes it possible to run Kubernetes clusters without managing the underlying infrastructure. With GKE, DevOps teams can scale and deploy applications faster with Kubernetes, while spending less time on cluster maintenance and configuration. Obtaining enough insight into GKE is key to proactively preventing downtime and maximizing application performance.