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Latest Videos

PagerDuty and Arize: Integrations for ML Observability

Arize is an ML Observability platform aimed to detect, troubleshoot, and eliminate ML problems faster. Use Arize to monitor your production models and send alerts to PagerDuty when your models deviate from a certain threshold. Arize and Pagerduty help keep your teams in the loop, send more comprehensive metadata through alerts, and debug your models faster than ever before.

Hector - Asset Tracking Software - Back to School Release - Reservations and Loaners

Do you have asset tracking issues? Do you spend hours updating your inventory on an Excel file? Introducing Hector, your ultimate asset manager. This short video will give you an overview of some of Hector's new features for its back to school release and the benefits it can bring to your organization. Our reservation and loaner features are regularly updated with feedback from our users. Choose a solution that fits your needs!

Tech talent management in the digital age

The Great Resignation, recession fears, and a worldwide pandemic have all had a massive impact on organizations' talent management strategies across the globe. Not wanting to settle for less any longer, people are more willing than ever to take risks and look for the most satisfactory opportunities. Nowhere is this more evident than in the tech industry. The rapid pace of IT modernization undertaken by companies in the last 2 years has created a huge demand for skilled tech professionals that is further compounded by rising salary figures in the industry.

Apache Solr vs Elasticsearch Differences | How to Choose Your Open Source Search Engine - Sematext

In this Apache Solr vs. Elasticsearch comparison, we will discuss 5 key differences between these two popular search engines. Elasticsearch and Solr are both industry-standard search engines for large datasets. While both are capable of querying relevant search results in a record time, there are some key differences between these two technologies that you should know about to help you make the best choice for your use case.

Charmed Kubeflow 1.6 Beta #datascience #kubeflow #machinelearning

Kubeflow 1.6 is almost here! 🎉🎉🎉 The open source MLOps platform of choice keeps evolving year over year, growing in popularity and available features. Get the latest news about the changes that it came with from two of the engineers who were part of the upstream release team. We will be talking about pipelines, Katib and the news about the scheduler.

5 Signs Your Kubernetes Deployment Is at Risk

In this webinar you will learn how to identify the warning signs that your Kubernetes deployment is headed down the wrong path. You will learn how to avoid failure or save a failing Kubernetes deployment. The following are the 5 signs your Kubernetes deployment is at risk: As a Kubernetes solution provider with more than a decade of experience in designing and deploying containerized environments, we know first-hand why organizations fail and succeed in their Kubernetes deployments.