Modern cloud storage tools such as Dropbox give teams the ability to easily share and centralize content, conveniently collaborate on projects, and sync data across devices. They’ve proven to be real productivity enhancers, especially with the expansion of work-from-home workforces. But cloud storage tools often end up being a dumping ground for lots of content and various clutter, making it clumsy at best (and next to impossible at worst) to find anything.

The 7.6 release of the Elastic Stack delivered the last piece required for an end-to-end machine learning pipeline. Previously, machine learning focused on unsupervised techniques with anomaly detection. However, several features have been released over the 7.x releases. In 7.2 Elasticsearch released transforms for turning raw indices into a feature index. Then 7.3, 7.4, and 7.5 released outlier detection, regression, and classification, respectively.

Clinical communication and collaboration (CC&C) systems enhance care coordination to improve the patient experience. The systems are equipped with secure mobile messaging, allowing care teams to ditch their insecure pagers for HIPAA-compliant smartphone applications. Gartner, the global leader in tech research, has released its Hype Cycle for Real-Time Health System (RTHS) Technologies, 2020.

Discover how DevOps and SREs can develop more and operate less by applying AI to events, metrics, traces and logs to keep CI/CD agile and your business growing.

There are two ways you can view the current mappings on your Logit ELK Stacks. One way is to use dev tools in Kibana. You can access Kibana from any of your dashboards by choosing from your dashboard Stack settings > Access Kibana. You can also search for a specific mapping of an Index name. For example if we wanted to see the mappings for the a Filebeat index name we can run the following to return only the desired mappings.

Compared to even just a few years ago, the tools available for data scientists and machine learning engineers today are of remarkable variety and ease of use. However, the availability and sophistication of such tools belies the ongoing challenges in implementing end-to-end data analytics use cases in the enterprise and in production.

Companies need special scheduling tools to organize and plan events, tasks, and various facilities. The business executives and managers or various projects need to be well-versed in their upcoming course of action. They need to plan their week accordingly, to decide when to attend meetings, events, and when to attend to clients. By planning their whole day, they will have time to make payments and perform their respective roles and responsibilities without any hassle.

Companies and businesses of all sizes collect and save all types of data. This data can be valuable to others if it were to be leaked outside the business. Data security management and control using the right data loss prevention (DLP) solutions are necessary to protect this and other types of data. So, what exactly is DLP? In general, DLP consists of the tools, apps, and other data loss prevention techniques businesses implement to keep their data safe and secure.

Hi, Spring fans! 2020, eh? It's easy to complain, and goodness knows I certainly do my fair share, but - as my dad always said, "any day on this side of the dirt is a good day," and I try to remember that. There's a lot to be enthusiastic about if you like. I always look. That's what this roundup is all about. It's a fount of the fun, fantastic, production-powered, and boundless beauty of all things Spring Boot.

Often, outages are planned. In fact, in most organizations, outages are typically not caused by something going wrong, but because some kind of IT operation requires your team to take a system temporarily offline. Communicating scheduled maintenance is just as important, if not more important than alerting users to unplanned outages.