VMware Marketplace is a one stop-shop for VMware customers to discover, try, and deploy various third-party and open source solutions onto their VMware environments. All deployable assets on VMware Marketplace are pre-tested on their respective VMware environments, which empowers users to deploy them with confidence.

Spark is one of the most widely-used compute tools for big data analytics. It excels at real-time batch and stream processing, and powers machine learning, AI, NLP and data analysis applications. Thanks to its in-memory processing capabilities, Spark has risen in popularity. As Spark usage increases, the older Hadoop stack is on the decline with its various limitations that make it harder for data teams to realize business outcomes.

In order to manage complex containerized applications, modern devops teams need to have deep visibility into the status of their Kubernetes resources. By listening directly to the Kubernetes API, the open source kube-state-metrics service generates key metrics about your Kubernetes objects, including pods, nodes, and deployments, which are essential for understanding the status and performance of your clusters.

Testing in production simply means testing new code changes in production, with live traffic, in order to test the system’s reliability, resiliency, and stability. It helps teams solve bugs and other issues faster, as well as effectively analyze the performance of newly released changes. Its overall purpose is to expose problems that can’t be identified in non-production environments for reasons that may include not being able to mimic the concurrency, load, or user behavior.

In August 2020, Amazon announced Bottlerocket OS, a new open source Linux distribution that is built specifically for running container workloads. It comes out of the box with security hardening and support for transactional updates, allowing for greater ease in automating operating system updates, maintaining security compliance and reducing operational costs. Bottlerocket is designed to be able to run anywhere and, at launch, has a pre-built variant for Amazon EKS.

When we launched Qovery in January 2020, our product was still a prototype, and we onboarded 53 developers to help them deploy their apps in the cloud. At the time, we were only 2 on the team, and our first employee (Patryk Jeziorowski) decided to join us after being one of our first users. 18 months later, 3004 developers from more than 110 countries use Qovery to deploy their apps on their AWS and Digital Ocean account.

One of the greatest challenges you may face when creating Kubernetes dashboards is getting the full picture of your cluster. Kubernetes is the de-facto standard for container orchestration, but it also has a very steep learning curve. We, at Sysdig, use Kubernetes ourselves, and also help hundreds of customers dealing with their clusters every day. We are happy to share all that expertise with you in the Kubernetes Dashboards.

Kubernetes enables teams to deploy and manage their own services, but this can lead to gaps in visibility as different teams create systems with varying configurations and resources. Without an established method for provisioning infrastructure, keeping track of these services becomes more challenging. Implementing infrastructure as code solves this problem by optimizing the process for provisioning and updating production-ready resources.

It’s that time again: the latest versions of D2iQ Konvoy and D2iQ Kommander have just been made generally available and the D2iQ Kubernetes Platform (DKP) has some powerful new features. As noted with our last update, DKP is the leading independent Kubernetes platform for enterprise grade production at scale and Konvoy and Kommander are the reason why. You can learn more about Konvoy here, Kommander here, and our general approach here.