Salvatore Salamone

Automated integration takes much of the burden off of the technical staff by handling the numerous manual tasks required to make siloed data available to applications.

Observability can help identify where software with newly found vulnerabilities is used based on how it performs and interacts within a larger system.

Many top vulnerabilities are in software libraries that have been used for years. Observability offers a better way (vs. traditional security approaches) to find and protect against them.

In this week’s real-time analytics news: Red Hat rolled out enhancements to its developer tools to speed the creation of Kubernetes-based applications.

In this week’s real-time analytics news: Red Hat made numerous announcements related to automation, cloud, edge, and Linux at its annual Red Hat Summit event.

The FTC is serious about data being properly collected and used. In several cases, it has ordered what is called the algorithmic destruction of AI systems built on ill-gotten data.

The path to AIOps in many states and in federal agencies is often guided by an AI Center of Excellence that develops best practices and captures internal knowledge.

In this week’s real-time analytics news: Google Cloud announced the launch of two new solutions that enable manufacturers to improve visibility from the factory floor to the cloud.

As the AIOps market matures, many in the industry believe businesses will turn to AIOps platforms as their sole monitoring tool as these platforms are enabled to natively acquire data and analyze it.

In this week’s real-time analytics news: HPE launched HPE Swarm Learning, a privacy-preserving, decentralized machine learning framework for the edge.

Early adopters are fusing and analyzing their massive geospatial and time-series data in real-time to support new application areas.

Modern observability solutions provide visibility into the workings of complex edge applications and help staff make data-driven decisions when investigating latency issues.