Machine learning is transforming the tech sector and other industries like retail, manufacturing, supply chain, banking, healthcare, education, and insurance. The problem is that bringing machine learning into these fields requires not only experts who ca

You are about to explore computer science and start developing the first applications. What should be your first programming language? Should it be adorable JavaScript, glorious Python, legendary Java, or... something else? Well, as always, it depends.Joi

Borderline paranoia a robot in the 50s has become something that we couldnt recognize. Today, robots are more compact, and the computers inside are tinier than ever. From the 2018 recognition of the hardware hack from China or the 2022 Starlink hack::

Modern cloud-native environments using Kubernetes or OpenShift are driving innovation and speed for development teams but these technologies do not come with a framework or set of rules for implementing container security. Choices for security tooling are

Enterprises are building and delivering containers and Kubernetes-based applications to their customers. With a distributed architecture, microservices are communicating with each other and 3rd party APIs to enable information exchange and present it to t

Building on our previous discussion on First Mile Observability (Red Hat X Episode 123 - April 26, 2022), well focus on tools and methods organizations can use to optimize their Enterprise Observability Pipelines. Specifically, well discuss 1) Fluentd a

threat detection at runtime is a crytical component of securing containers and cloud. how can you spot malicious activity in a dynamic orchestrated environment based on kubernetes? Today we will discuss runtime security practices using Red Hat opensource.

Event-sourcing has been around for a long time. When humans first created money thousands of years ago, accountants invented the earliest forms of event-sourcing when they realized it was not a good idea to throw away data while keeping track of other peo

Have you ever wondered how a geo-distributed app such as a Slack-like corporate messenger is architected and functions? How hundreds of microservices are deployed and communicate across distant geographies? How thousands of user messages and events flow i

Making a data pipeline fit for machine learning use cases requires more than just additional data monitoring. Furthermore, bringing machine learning into production has traditionally required a lot of manual setup and configuration, even for toy ML pipeli