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The latest News and Information on Containers, Kubernetes, Docker and related technologies.

Pepperdata Now Supports Azure Kubernetes Service

Today, we have some exciting news to share: Pepperdata Capacity Optimizer now supports Azure Kubernetes Service (AKS). This means users of AKS are able to automatically optimize their workloads running on the Azure Kubernetes Service. AKS users can now rely on Pepperdata to help them monitor and optimize Spark applications on Kubernetes AKS. This evolution of our platform has been in the works for some time, and we know our users will be delighted by this development.

Surviving the Server Chip Shortage

The global chip shortage, which began in 2020, continues as demand for semiconductor chips continues to far outpace production. Intel CEO Pat Gelsinger recently forecast shortages to be sustained through at least the remainder of 2022. As a result, IT operations teams at almost every company we’ve talked with have felt the crunch in the form of skyrocketing prices and delays of up to a year for procurement of physical servers.

The 5 best AWS Deployment Options to Consider in 2022

When we talk about various deployment and infrastructure provisioning choices on AWS, each option serves a particular set of users and needs. Some of Amazon's most common deployment services include Elastic Beanstalk, CloudFormation, and CodeDeploy. In containerization, there are options like ECS, EKS, Fargate, etc.

Why you need Tigera's new active cloud-native application security

First-generation security solutions for cloud-native applications have been failing because they apply a legacy mindset where the focus is on vulnerability scanning instead of a holistic approach to threat detection, threat prevention, and remediation. Given that the attack surface of modern applications is much larger than in traditional apps, security teams are struggling to keep up and we’ve seen a spike in breaches.

[Webinar] 5 Things We Learned Not to Ignore While Scaling Kubernetes

Using Kubernetes for orchestration? Great—we hope things are running smoothly. The thing about Kubernetes, though, is that it tends to surprise you—throwing curveballs just when you think you've finally mastered the art of container management. And those curveballs usually come at you when you try to scale up. So, how can you scale K8s without striking out due to speed and reliability (not to mention sanity) issues?