In the face of unexpected crises or disruptions, maintaining business continuity has become more important than ever. Last year, businesses around the world had to shift to a remote workforce model overnight. Were their IT departments prepared for this massive shift?

Since the revolutionization of the concept by Docker in 2013, containers have become a mainstay in application development. Their speed and resource efficiency make them ideal for a DevOps environment as they allow developers to run software faster and more reliably, no matter where it is deployed. With containerization, it’s possible to move and scale several applications across clouds and data centers. However, this scalability can eventually become an operational challenge.

The success of any managed service provider (MSP) is dependent on the people who work for it. When MSP employees are dissatisfied, unhappy, or unengaged they will be less be motivated, efficient, and productive. Employees make or break a company, so it’s vitally important to keep them satisfied with their work.

Monitoring solutions can either pull monitoring information from devices by querying those devices, or the devices themselves can use code to push data using an API into the monitoring system. Both work equally as well but have separate use cases. It is not always possible to query a device remotely, which means asking the device itself to send the data out to the monitoring platform is easier. Keep reading to learn more about push metrics and when it makes the most sense to use it.

Observability, which originated from control theory, measures how well you can understand a system’s internal states from its external outputs. Observability uses instrumentation to provide insights that aid monitoring. In DevOps, gaining observability is achieved through a set of monitoring solutions. The shift to use one vendor platform to do so, versus multiple solutions, make sense as.

Microservices are the future of software development. This approach serves as a server-side solution to development where services remain connected but work independently from each other. More developers are using microservices to improve performance, precision, and productivity, and analytical tools provide them with valuable insights about performance and service levels.

Here at LogicMonitor, we’re really big on extensibility and automation. We’re constantly adding to our catalog of monitoring coverage, and we spend a lot of our time ensuring that setup is as simple as possible. We also monitor almost any data you can expose on a network. People have done way more with LogicMonitor than we would have ever imagined, and I’m extremely excited to announce our next step in that commitment to extensibility and automation.