Operations | Monitoring | ITSM | DevOps | Cloud

Dissecting the need for ethical AI

Until recently, topics like data ethics and ethics in AI were limited to academic circles and non-profit organizations rallying for citizen data rights. Fast forward to 2020, and the scenario is very different; AI ethics has become a mainstream topic that's a top priority for big organizations. With data collection and processing capabilities growing by the day, it's become easier than ever to train machine learning (ML) models on this collected data. However, organizations have come to realize that, without building transparency, explainability, and impartiality into their AI models, they're likely to do more harm than good to their business. This podcast will explore why ethical AI is the need of the hour, and what key factors AI leaders should consider before implementing AI in their organization's ecosystem.

Coffee & Containers - Fireside Chat with Kelsey Hightower

We are very proud to launch this series with Kelsey Hightower, Thought Leader and Developer Advocate at Google Cloud Platform, and Bruno Andrade, Founder and CEO of Shipa.io. The topic of the conversation was focused on the current state of Kubernetes, and concluded with an "unboxing" and Kelsey's live/unfiltered impressions on the Shipa application management framework for Kubernetes.

Checkly: Synthetic monitoring in one minute

We let you monitor your app's frontend and APIs using the tools and language you love. Run checks on schedule or triggered by GitHub PR from 20+ global locations. When things break or get too slow, we notify you on your favorite channels like Slack or Pagerduty, Discord, SMS etc.. To monitor your frontend, we run JavaScript and open-source powered browser checks. You can configure HTTP requests on the API side and adapt them to your use case running Node.js based setup and teardown scripts. Super handy for all kinds of authentication schemes.

How PlayStation Network monitors its global systems with Datadog

The PlayStation Network, with over 94 million users, was a complex, microservices-linked system that was difficult to manage, distributed among three locations in Tokyo, San Diego and San Francisco. With Datadog's host map and APM, the system can now operate organically together.