Kubernetes provides abstraction and simplicity with a declarative model to program complex deployments. However, this abstraction and simplicity create complexity when debugging microservices in this abstract layer. The following four vectors make it challenging to troubleshoot microservices.
What a high octane few months it has been on Ivanti Neurons for Spend Intelligence! With our first release in October last year our product teams took their first exciting step into solving the difficulties associated with managing the purchasing and delicate balance of cost optimization by combining visibility with targeted action.
At Ivanti, our highest priority is our customer. With that in mind, I thought it would be a good idea to share some research that my team and I have found valuable as we have migrated through the COVID period. The two pieces of Gartner research, highlighted below and linked to on our landing page below, really hit home at Ivanti so we wanted to share them with all of you.
The Community and Advocacy Team here at PagerDuty recently spruced up our library of ops guides, and we’re excited to share them with you. If you’re not familiar with the ops guides, they are an open-sourced collection of long-form documents that cover a variety of topics related to real-time operations and incident management. We’ve given them some spiffy new headers, cleaned up some sneaky errors, and added a new section titled “Next Steps.”
In this episode of Coffee & Containers, Bruno Andrade, Founder/CEO @ Shipa and Melissa McKay, Developer Advocate @ JFrog discuss some specific Kubernetes related obstacles.