Curated articles, resources, tips and trends from the DevOps World.
Organizations that require both real-time insights and in-depth analytics often encounter the conundrum of using streaming tools for real-time data processing with basic analytics or a data warehouse with advanced analytics but at high latency.
We’ve all been at that point in a project when we realize that our software processes are more complex than we thought. Handling this process complexity has traditionally been painful, but it doesn’t have to be.
Remember the catchphrase “Big Data”? It spawned many successful companies in the cloud computing era — such as Snowflake, Databricks, DataStax, Splunk and Cloudera.
At Numberly, the Omnichannel Delivery team owns all the types of messages we support and operate for our clients, from the well-known and established email, to the still emerging rich communication services (RCS) — and don’t forget the over-the-top (OTT) platforms such as WhatsApp.
Recently, I had the pleasure of meeting the CEO and founder of Portainer, Neil Cresswell. He’s passionate about his product (which, as I’ve made abundantly clear is one of the best GUI container managers on the market, in my opinion) and passionate about open source software.
It can be safely said that the vast majority of developers and operations team members are not overly concerned about the underlying mechanisms of serverless. In other words, what’s running underneath the hood — as long as it’s safe and secure — is of little interest.
The cyber threat landscape in Europe continues to evolve, with cyber attacks targeting multiple institutions across the EU.
The Hugging Face Hub is a platform that enables collaborative open source machine learning (ML). The hub works as a central place where users can explore, experiment, collaborate, and build technology with machine learning.
Today, Hugging Face and Docker are announcing a new partnership to democratize AI and make it accessible to all software engineers.
This week, we announced that Red Hat has been named a leader in The Forrester Wave™ Infrastructure Automation, Q1 2023. In an effort to help explain this result from our point of view, the following blog answers some of the most frequently asked questions.
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