Companies face multiple challenges when migrating their applications and services to the cloud, and one of them is infrastructure management. The ideal scenario would be that all workloads could be containerized. In that case, the organization could use a Kubernetes-based service, like Amazon Web Services (AWS), Google Cloud or Azure, to deploy and manage applications, services and storage in a cloud native environment. Unfortunately, this scenario isn’t always possible.

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As the movement to the cloud has grown, so has the use of containers as an effective way to package, distribute, and deploy applications. As surveys show, Kubernetes is the most widely used orchestration engine for managing cloud-native containers. Kubernetes automates deployment, auto-scaling, resource optimization, backup and recovery, and enables containers to run across different environments, eliminating the need to develop separate versions for each operating environment.

This blog will cover what the Calico/VPP dataplane is and demonstrate the performance and flexibility advantages of using the VPP dataplane through a benchmarking setup. By the end of this blog post, you will have a clear understanding of how Calico/VPP dataplane, with the help of DPDK and accelerated memif interfaces, can provide high throughput and low-latency Kubernetes cluster networking for your environment.

This post was co-written by Kirti Apte and Gabry (Maria Gabriella) Brodi. Over the last couple of years, customers have been adopting Kubernetes and microservice-based application deployment models for various technology and business reasons. In fact, there is a trend that customers are now looking to the next set of use cases that include applications across multiple clouds, as well as edge clouds.

Creating effective Continuous Integration pipelines is a daunting task that requires combining knowledge from different areas. At Codefresh we have always strived for a fast feedback loop between both customers and prospects in regards to pipeline speed and simplicity. We always want to improve the onboarding process for everybody regardless of their position in the cloud native journey.

Sysdig Monitor has long integrated with a variety of Notification Channels, allowing users to forward alerts to a multitude of third-party services. Currently, users can choose to forward Sysdig Monitor’s alerting events to external services like PagerDuty, Slack, Email, Microsoft Teams, and many more.

While more and more teams are adopting Kubernetes as their standard container orchestration technology, cost insight is lacking. Teams often don’t know how much they’re spending, where in their organization they are spending, or what is driving their infrastructure cost increases. OpenCost helps alleviate this problem by bringing real-time cost monitoring to Kubernetes workloads with a solution that encompasses both an open specification and an open source project.

VMware Tanzu Kubernetes Grid has become a trusted tool to automate the lifecycle of Kubernetes clusters. The simplicity of management has quickly turned it into a valuable asset in many organizations. The release of Tanzu Kubernetes Grid 2.1 adds new features that enhance lifecycle management and extends Kubernetes to the edge.

The first thing to know when exploring APIs vs microservices is that there’s not a dichotomous relationship between these two technical approaches. Instead, you want to build an understanding of how these two technologies relate to each other—and they do, in a big way. So, organizations don’t need to embrace either an API-first or microservices-first strategy.