Remember that time Mom told you that the internet is a dangerous place? No? Well, she did, but you weren’t listening. Jokes aside, we can probably all agree that there are many potential security risks in web services, with all their APIs and user-contributed content. Yet, the internet is what defines our digital age, and barely any piece of technology can do without. In the midst of this insecurity, Rust came along with its memory safety and zero-cost abstractions.

Does anyone like receiving calls from telemarketers? Unless you use the opportunity to set up a prank and get a good laugh, odds are these calls annoy you just as much as me. These over-the-phone salespeople are frustratingly persistent as they interrupt my day, and they also missed one key step when they dialed my number: Researching whether there was any chance that I would want their product.

OnPage, the industry’s leading incident alert management system today announced a new integration with Datto’s world-class IT business management platform. For the first time, managed service providers (MSPs) can take advantage of a unified view between Autotask ticketing and incident alert activities and workflows. The integration leverages the platform’s advanced ticketing capabilities by converting service tickets into intelligent alerts, all under one user interface.

Apache ActiveMQ is message-oriented middleware (MOM), a category of software that sends messages between applications. Using standards-based, asynchronous communication, ActiveMQ allows loose coupling of the elements in an IT environment, which is often foundational to enterprise messaging and distributed applications.

In Part 1 of this series, we looked at how ActiveMQ works, and the key metrics you can monitor to ensure proper performance of your messaging infrastructure. In this post, we’ll show you some of the tools that you can use to collect ActiveMQ metrics. This includes tools that ship with ActiveMQ, and some other tools that make use of Java Management Extensions (JMX) to monitor ActiveMQ brokers and destinations.

The concept “Wireless Monitoring” is quite broad. In fact, it covers all wirelessly instrumented communications platforms and the monitoring we can do on them. We are talking about everything from the short-range signal of a Bluetooth device to sensors connected to a wide area wireless network.

As you operate and scale ActiveMQ, comprehensive monitoring will enable you to rapidly identify any bottlenecks and maintain the flow of data through your applications. Earlier in this series, we introduced some key ActiveMQ metrics to watch, and looked at some tools you can use to monitor ActiveMQ.

Monitoring a Kubernetes cluster allows engineers to observe its resource utilization and take action when something goes wrong. This article explores what you should be monitoring and how to go about it with Rancher, Prometheus, and Grafana.

Darren Shepherd, Rancher co-founder and Chief Architect, describes the Kubernetes critical CVE issue he discovered, how it came to a resolution, and what it says about the Kubernetes open-source community.

To gain a better understanding of the adoption and usage of machine data in Europe, Sumo Logic commissioned 451 Research to survey 250 executives across the UK, Sweden, the Netherlands and Germany, and to compare this data with a previous survey of U.S. respondents that were asked the same questions. The research set out to answer a number of questions, including: Is machine data in fact an important source of fuel in the analytics economy?