In a previous blog post, which was a glossary of terms related to artificial intelligence, I included this brief definition of "data preprocessing": It is common for people familiar with these matters to talk about not having clean data. When dealing with AI for whatever your needs are, clean data is crucial for the quality of results. Garbage in, garbage out, as they say. So, let’s dive into what it means to have clean data.

Whether you’re a professional photographer, hobbyist, or just want to take a quick snapshot of a hilarious cat, we all have the power to take beautiful pictures straight from our smartphones, thanks to the power of technology. Fortunately, we don’t have to worry about waiting weeks for our photos to be developed and organizing them effectively in photo albums because we have many photo storage apps and services to help us store our precious memories quickly and securely.

Broadband subscriber behavior analysis is the process of collecting and analyzing data on how broadband subscribers use the internet. This data can be used to gain insights into subscriber needs and preferences, as well as to identify potential problems with the broadband service.

What is AIOps? Simply put, AIOps uses big data, analytics and machine learning to automate and improve IT operations (ITOps). AI is particularly important in ITOps functions such as anomaly detection and event correlation, as it has the ability to analyze large volumes of network and machine data to find patterns, identify the cause of existing problems and find ways to forecast and prevent future issues.

What is OpenTelemetry? Simply put, OpenTelemetry is an open source observability framework. It offers vendor-agnostic or vendor-neutral APIs, software development kits (SDKs) and other tools for collecting telemetry data from cloud-native applications and their supporting infrastructure to understand their performance and health. Managing performance in today’s complex, distributed environment is extremely difficult.

For many developers and engineers, Kubernetes is the de facto choice for container orchestration. That’s primarily because of its efficiency in handling and scaling container workloads. However, the complexity of managing nodes in a Kubernetes cluster can cause recurring headaches for even the most experienced and skilled IT teams. This is where `kubectl cordon` comes into play.

Use Levitate's powerful domain events to track success of canary rollouts via ArgoCD.

KubeCon + CloudNativeCon North America 2023 is just around the corner, and the OSS and cloud native community is eagerly anticipating the event, which will take place November 6 - 9 in Chicago.

In the ever-changing field of artificial intelligence, OpenAI is consistently seen as a leader in innovation. Its AI models, starting with GPT-3 and now with GPT-4, are already used extensively in software development and content creation, and they’re expected to usher in entire sets of new systems in the future.

The journey to selecting a container platform is a fun and exciting time in any organization. Container technology abstracts away so many problems from cloud 1.0 VM based approach, and puts engineering teams back in the distributed drivers seat. As containers continue to mature and adoption becomes ubiquitous, there are many lessons to learn and ideas to consider before inevitably choosing Cycle. Let's take a look at Cycle alongside the other types of container platforms.