As data centers become increasingly decentralized, managing them remotely is now a must-have skill. Data center professionals need to maintain uptime, increase efficiency, and boost productivity across all their global sites without leaving their desk. While this might have once seemed near-impossible, with the right tools and processes, remotely managing your data center can be even better than physically being there.
Cloud monitoring is like a health check-up for our online spaces. It tells us what's going well and what we need to improve. It is critical because it lets us fix problems before they get too big and helps our online services work at their best. This article talks about how we can use MetricFire to monitor DigitalOcean environments.
Data has become a critical asset in today’s digital era, making its storage, management, and accessibility crucial to many organizations’ operations. Microsoft’s Azure provides a suite of cloud storage solutions designed to address these needs. Among the tools provided by Azure is AzCopy, a command-line utility designed to simplify data transfer to and from Azure Blob, File, and Table storage.
For enterprise businesses, a lot is riding on the efficiency of their incident response. These organizations have large customer bases, complex products, and many incidents. They also have loads of incident responders across various roles, making it difficult to coordinate internally.
The Internet of Things (IoT) - is a number of physical devices connected to one network that enables the system to interact with the external world. A great deal of the work surrounding IoT is monitoring, as it’s impossible to react without knowing the situation. For example, we might build a greenhouse system for agriculture that can maintain optimal conditions for growing crops. For this purpose, we need to have sensors picking up information about the temperature and humidity.
Microsoft’s Azure Data Lake Storage (ADLS) has been a vital component for organizations aiming to build scalable and secure data lakes. As technology evolves, transitioning from Azure Data Lake Storage Gen1 to Gen2 has become increasingly important. This article aims to guide readers through the essential considerations, detailed processes, and best practices involved in making this shift.