Operations | Monitoring | ITSM | DevOps | Cloud

AMMP Technologies runs monitoring for energy systems, usually off mini-grids in Africa. The company uses Grafana to monitor interface with physical objects that are not servers or containers. “It’s interesting how a toolkit for visualizing essentially internet/computer/server metrics is so well-suited to working with real-life streaming data,” AMMP Cofounder Svet Bajlekov said during his talk at GrafanaCon L.A.

Pulling in data exposed via API is not one of the most common use cases for ELK Stack users but it is definitely one I’ve come across in the past. Developers wrapping their database services with REST API, for example, might be interested in analyzing this data for business intelligence purposes. Whatever the reason, the ELK Stack offers some easy ways to integrate with this API. One of these methods is the Logstash HTTP poller input plugin.

A few members of the Scout team had the chance to head to Monitorama in Portland, Oregon this week. For those who do not know what Monitorama is, it is a 3-day, open-source monitoring conference with a single track. There is plenty of time during the breaks to chat with attendees, ask the speakers questions or just catch up on some email.

Cloud computing is well past the emerging stage. It’s no longer a radical idea for businesses to depend on cloud platforms and services to serve as their technology backbone--and the numbers show it. In 2018, Forrester reported that nearly 60% of North American enterprises rely on public cloud platforms. This year, Gartner projects that the public cloud services market will grow from last year’s $182.4 billion to $214.3 billion this year, a 17.5% jump.

Internet security, in general, is a challenge that we have been dealing with for decades. It is a regular topic of discussion and concern, but a relatively new segment of internet security is getting the lion’s share of attention—internet of things (IoT). So why is internet of things security… a thing?

5G is here and is widely expected to be a transformative communications technology for the next decade. This new data network will enable never-before-seen data transfer speeds and high-performance remote computing capabilities. Such vast, fast networks will need dedicated tools and practices to be managed, including AI and machine learning processes that will ensure efficient management of network resources and flexibility to meet user demands.