“Observability,” is the process in DataOps of recording data generated by digital systems as they go about their processes. There are some great companies in the observability space, generating a whopping $17 billion annually, and contributing a significant portion to the modest 2.5 quintillion bytes of data created every year.
Keeping the experience of your end user in mind is important when developing applications. Observability tools help your team measure important performance indicators that are important to your users, like uptime. It’s generally a good practice to measure your service internally via metrics and logs which can give you indications of uptime, but an external signal is very useful as well, wherever feasible.
Microservices are an accelerating trend thanks to rousing endorsements from the likes of Google, Netflix, and Amazon. The microservice architecture is advantageous for it’s scalability, agility and flexibility. In contrast, the monolithic approach is the traditional tried-and-true model for building software. It’s much easier to debug and test. But how do you know which approach is best for your organization?
On this day in 1889, William Gray patented the first coin operated telephone with the first model installed at the Hartford Bank in Connecticut.
When the Citrix architecture moved from v6 to v7, one of the main components that was introduced in the v7 architecture was the Citrix Delivery Controller (CDC). A Citrix Delivery Controller is a server-side component that is responsible for managing user access and brokering (enabling application and desktop access) and optimizing connections. Each site will have one or more delivery controllers.
No job is easy, but the job of a nurse is even more challenging, especially during a global health crisis. Nurses are at a higher risk of developing burnout due to the psychological trauma and cognitive overload that comes with the nursing profession. The situation is further exacerbated when nurses take on more responsibility during a pandemic or other large-scale incidents.
Open Source Robotics Challenges is a series of blogs that will share guidelines and advice for open source companies to overcome market barriers. We will touch on topics regularly raised by companies in our open source community such as security awareness, prototyping strategies, safety architecture, adoption and more.
Automating data center tasks to increase operational efficiency is a primary goal for most data center professionals, but it can be a struggle. Professionals who have used legacy data center management tools like first-generation Data Center Infrastructure Management (DCIM) software, Excel, and Visio can attest to the fact that they are time-consuming, difficult to maintain, and inaccurate.
Within the world of robotics and automation one of the most recurring needs is that of capturing and visualizing real-time data from hardware components such as sensors and actuators, which provide insights into how a system is behaving overall and helps diagnose any potential issues that might arise overtime.
