Operations | Monitoring | ITSM | DevOps | Cloud

The difference between machine learning for business and machine learning for consumers is that for business applications, you must deal with requirements that casual users won’t encounter.

I post openly about MRR, churn and other SaaS stuff on Twitter. I do this mostly for marketing purposes. Not going to lie. It's also kinda fun. At least when things are growing...

We talk a lot about LogicMonitor's flexibility and extensibility, one reason is that our architecture makes it easy to write integrations to other tools' APIs, while our API lets other tools talk to our platform. This also means you can make LogicMonitor talk to itself.

Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. This week, we explore the relationship between AI and data privacy. From smart devices and voice assistants to mediating traffic and enhancing personalized shopping experiences, artificial intelligence (AI) has found widespread application in many aspects of life.

Our December update includes a new role model for users in a SIGNL4 team, great new app features and integration with Azure Sentinel. Two default user roles are now available in each SIGNL4 team: Administrator and User. This allows for restricting standard user rights versus administrative access. For existing teams, all users are migrated to administrators, i.e. you should check this role assignment and downgrade some team members to users yourself if necessary.

Single-node deployments of Kubernetes are more common than what one would expect. In some scenarios, single-node clusters make much more sense. For development purposes or testing, there’s no need to deploy a full-blown production-grade cluster. Single-node deployments are also handy for appliances and IoT applications since they have a much smaller footprint. Enter MicroK8s, a tool by Canonical that enables you to easily deploy a lightweight single-node cluster in your local environment.

Our Android SDK version 2.0.0 just reached Beta. To provide you with a smooth start, we prepared this tutorial that will show you how to install the SDK and how to get the most out of the main features.