Running Kubernetes in production at scale can be a huge challenge for today’s organizations. And few companies have the right platform, experience, and skills to get there themselves. This was the case with Girls Who Code, an international nonprofit organization working to close the gender gap in technology, who had to quickly change course and develop things that weren’t on their radar months ago because of the COVID-19 pandemic.

We are in the midst of a digital revolution that started with the PC, Internet, and mobile phone and has continued to accelerate. In this current wave, the cloud, Kubernetes, artificial intelligence (AI), and intelligent automation are combining to create the next major disruption, which we call smart cloud-native. Smart cloud-native is a powerful force that is transforming data centers, workforces, customer experiences, and the way enterprises do business.

The Cloud Native Computing Foundation (CNCF) recently released its annual survey on the state of Kubernetes and containers. The report highlighted the tremendous and continued growth in Kubernetes adoption, as well as some challenges that still persist. Both of these takeaways mirrored the corresponding data points from our 2021 Kubernetes in the Enterprise: Annual Report. However, as we dug into the data, we found gaps, or contradictions, between the two reports.

Now that conferences are finally coming back, what better way to emerge from uncertainty with a strategy marked for success? If you’re wondering which technology conferences and events to attend, how about starting with containers and Kubernetes? As the leading platform technology underlying containers, Kubernetes can help you build, deploy, and manage applications faster and at scale.

Kubernetes is one of the most popular platforms for managing and deploying applications built on microservices and containers. For the public sector, deploying pure upstream Kubernetes in offline, air-gapped environments can be a big challenge. Especially when you’re dealing with strict security controls and limited bandwidth, processes, and resources in place to ramp up quickly.

Cybersecurity continues to be a thorny problem for businesses and government agencies as breaches, disruptions, and data thefts continue to escalate. To help ensure that the growing number of government and private organizations implementing Kubernetes solutions have the highest possible levels of security, the National Security Agency (NSA) and Cybersecurity and Infrastructure Security Agency (CISA) have issued guidelines for hardening the security of Kubernetes implementations.

We are excited to announce that D2iQ is now part of Amazon Web Services (AWS) Independent Software Vendor (ISV) Accelerate Program! The AWS ISV Accelerate Program helps ISVs with software solutions that run on or integrate with AWS, drive new business and accelerate sales cycles by connecting the participating ISVs with the AWS Sales organization. The D2iQ Kubernetes Platform (DKP) enables AWS customers to quickly achieve Day 2 operations competency in their cloud-native deployments.

While the global spend on artificial intelligence (AI) and machine learning (ML) was $50 billion in 2020 and is expected to increase to $110 billion by 2024 per an IDC report, AI/ML success has been hard to come by—and often slow to arrive when it does. There are four main impediments to successful adoption of AI/ML in the cloud-native enterprise.