Operations | Monitoring | ITSM | DevOps | Cloud

For today’s IT and security professionals, threats come in many forms – from external actors attempting to breach your network defenses, to internal threats like rogue employees or insecure configurations. These threats, if left undetected, can lead to serious consequences such as data loss, system downtime, and reputational damage. However, detecting these threats can be challenging, due to the sheer volume and complexity of data generated by today’s IT systems.

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.

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.

As a leader in Security Analytics, we at Elastic are often asked for our recommendations for architectures for long-term data analysis. And more often than not, the concept of Limitless Data is a novel idea. Other security analytics vendors, struggling to support long-term data retention and analysis, are perpetuating a myth that organizations have no option but to deploy a slow and unwieldy data lake (or swamp) to store data for long periods of time. Let’s bust this myth.

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.