Change is the only constant, particularly in a rapidly evolving industry like IT. Software gets constant updates, new hardware gets launched, and frameworks evolve with trends. Staying up-to-date on these changes can help you stay ahead of the competition. But it's not always easy to get people used to these new changes. It’s no surprise that change management has been a key aspect of ITIL.
At Datadog, we’re dedicated to building a platform that helps teams detect, troubleshoot, and resolve issues in their applications and infrastructure. We know that our customers need to be able to debug issues, explore ideas, and manage incidents efficiently, and that means having access to tools that can help them seamlessly share information and leverage the expertise of their distributed teams.
The need for in-depth network monitoring is growing exponentially as organizations expand in size and more companies are established. Increased monitoring needs demand a feature-rich tool to simplify networks and get a clear view of their underlying infrastructure. Diagnosing network faults and ensuring a well-balanced operation of all network devices is the primary task of a network admin any day.
Machine learning and artificial intelligence (AI) systems have long been touted as the future of medicine. A patient can walk into a doctors office, and after a quick scan discover their risk for a variety of diseases, and be given information on how to prevent them from occurring. Patients suffering from diseases like cancer can have treatment decisions made by an AI that can optimize care and maximize likelihood of survival.
One of the first questions you must ask yourself when deciding to construct an application in the cloud is whether your application will be built utilizing serverless or fully managed services. To begin, let me state that these are extremely loosely defined concepts and that there may be cloud services that fall somewhere in the middle, as well as others that are both serverless and fully managed services at the same time.