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All the relevant news concerning network monitoring, server availability monitoring and the surveillance of the state of devices and interfaces are the core of this section. Get to know the best practices, news, solutions and tools available for monitoring all types of IT infrastructure
In a market that reached USD 24.7 billion of investments in 2020, no less than 90,000 new digital health apps were launched, covering the most varied functions, from monitoring, diagnosis, drug injection control, and even clinical trial tracking.
IT asset management (ITAM) is arguably more important to organizations than ever before. Along with IT monitoring and IT governance, it forms the priority tripod for CIOs in 2021. Some define it as a set of business practices that combine financial, inventory, and contractual functions to optimize spend and support lifecycle management and strategic decision-making in the IT environment. The ITAM process typically involves collecting an up-to-date and detailed inventory of an organization’s hardware, software, and network assets, and then using that information to make informed business decisions about IT-related purchases and redeployment. And increasingly, to help them assess threats, vulnerabilities, and incidents highlighted by monitoring.
With the advent of digital technology, companies have been asking customers to trust them in new and deeper ways. But that trust depends crucially on the available technologies being used with transparency, ethical practices, increased data privacy, and strengthened security. Not coincidentally, increasing investments in cybersecurity (74%), information security (64%), and consumer privacy (60%) are the top priorities for business leaders to demonstrate a commitment to building digital trust, according to a recent PwC survey of 311 executives from mid-to-large US companies. More than half of them (53%) strongly agree that innovation can be more effective than regulation in building stakeholder trust. That’s why nearly half (49%) have made significant changes in the last 12 months to the way their companies operate.
Unlike NetFlow, SNMP can be used for real-time network management as well as for monitoring and troubleshooting CPU and memory usage – features that are not currently provided by the NetFlow protocol. NetFlow does consume a lot more disk space than SNMP, but that is mainly because it is much more verbose than SNMP. SNMP has proven itself to be the most reliable network management protocol for routers, switches, and multi-protocol usage. However, because NetFlow provides more information, it is better for deep network analysis and debugging. NetFlow is best used for providing more detailed information about applications and traffic sources. Another advantage of NetFlow is that it uses push technology, which makes it capable of showing information as soon as it is available whereas SNMP uses pull technology to pull data from the device’s MIB (Management Information Base) at specific intervals. NetFlow can also provide information on speed, volume, and link usage.
Monitoring patients wherever they are and supervising their health status relentlessly is a pressing task. Inspired by this need, a group of companies recently presented a smart t-shirt with 5G connection and sensors embedded in the fabric that can capture and send real-time information about the user’s health conditions to care centers. Made of washable material without metal components, the T-shirt has biosensors capable of measuring vital signs, such as body temperature, heartbeat, respiratory rate, muscle effort, and sweat elements. The parameters are recorded in a miniaturized control unit and are converted to digital format, which can be transmitted to the user’s smartphone or smartwatch or to a remote center that will analyze the data using medical software.
Annual healthcare spending has risen to nearly US$8 trillion globally by 2020, and is projected to continue growing at 5% or more per year until 2023. In Europe, it already passes 10% of GDP and in the US 17%, according to a study by Dealroom, in partnership with Inkef Capital and MTIP. The higher incidence of chronic diseases, the increase in the average age of the population, the problems related to obesity and smoking and the increasing costs with the development of new drugs have weighed more on the pockets of consumers and governments, driving the upward trend.
Managing data centers is often seen as a task akin to balancing spinning plates – it requires finding the best balance between managing workloads and IT staff, raising efficiency, and cutting costs. More recently, this work has gained the help of a major partner – Artificial Intelligence (AI). AI promises to be a great ally in the automatic management of tasks performed in data centers, thus freeing IT professionals to perform tasks that actually require human intervention. In addition, the tools used so far tend only to provide answers to the problems that arise in these environments, but do not explore data to make predictions, reduce the incidence of problems and optimize resources, as can do the AI solutions, highlights Sean Kenney, director of KPMG.
