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.

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.

In this “Ask the Expert” session we will be talking with Citrix CTP, George Spiers, who will answer your questions around: How can you prove root cause is due to a user's home WIFI, behavior, or an issue within the virtual infrastructure? How do you find root cause of slow logons or poor session performance? And how can you report on remote worker productivity?

Three phrases keep popping up when talking about modern workflows and development and deployment techniques. We have continuous delivery to automate the complete lifecycle of applications from a commit to a Git repository, all the way until a release is deployable to production. Then we have GitOps to define the desired states of our environments and let the machines handle the converge the actual into the desired state. Finally, there is a lot of focus on different deployment strategies grouped under progressive delivery.

Since the rise of Kubernetes, GitOps workflows have become the standard way for teams to manage the state of large systems. GitOps is a way to perform application management and delivery, which at its core leverages a version control system to maintain the desired state of the system. Being able to describe the desired state using human readable text files, and allowing automation to handle deployments and updates based on those files, means less opportunity for human error and faster deployments.

If you are deploying Kubernetes on-premises in your datacenter, you won’t want to miss this talk and demo. The first thing you’re thinking about might not be networking, but without some knowledge of the networking decisions you’ll need to make, and what the right option is given your environment, you’re likely to get stuck or make the wrong assumptions that may limit your ability to scale or integrate with the rest of the datacenter network.

Join Sysdig and AWS experts to learn how to detect and respond to threats to your production applications running on services like AWS Fargate and Amazon EKS. With the rise of microservices and DevOps practices, new security threats put your infrastructure and applications at risk. Hear how to leverage signals from AWS CloudTrail and open source Falco to spot unexpected behavior, block threats, and validate compliance across your AWS environment.

Three phrases keep popping up when talking about modern workflows, development, and deployment techniques... While these three practices and the tooling behind them are focusing on specific areas, the "real" benefits are obtained when they are combined. Nevertheless, many have not yet reached that stage yet. Each of these practices alone can be daunting and, frankly, scary. Yet, we should go a step further and explore how to combine them together and see the benefits such a solution might provide.

InfluxDB IOx Tech Talks: The Data Lifecycle in InfluxDB IOx and How it Uses Object Storage for Persistence

Do you know exactly what your builds are doing at every step of the way to prod and after they’ve been deployed? A key part of what lets you ship code to production often and quickly is having observability in your builds. Together, CircleCI and Honeycomb can help you get both speed and quality when shipping code to production. In this webinar, we’ll not only examine how CircleCI and Honeycomb work well together, we’ll also look at how Honeycomb used both products together to identify changes that impacted their build times and reduced them by 25%.