Operations | Monitoring | ITSM | DevOps | Cloud

VMware vSphere Kubernetes Service (VKS) is the CNCF-certified Kubernetes runtime built directly into VMware Cloud Foundation (VCF), which delivers a single platform for both virtual machines and containers. VKS enables platform engineers to deploy, manage, and scale Kubernetes clusters while leveraging a comprehensive set of cloud services. And with VKS v3.6, that foundation just got significantly more powerful.

Dropbox has six storage plans in 2026. Personal plans start at $9.99/month for 2 TB. Business plans start at $15/user/month and require a minimum of three users. The free tier gives you 2 GB, which is not enough for most people What makes Dropbox storage prices confusing is mostly the plan structure. Dropbox renamed several tiers over the past two years without a lot of noise about it, so a lot of comparisons floating around online still use the old names and wrong prices.

We’ve enhanced our API for custom monitors with more powerful filtering options – giving you better control over how incidents are tracked and surfaced.

APIs power nearly every modern digital experience. From mobile apps and SaaS platforms to payment gateways and internal microservices, APIs handle authentication, transactions, content delivery, and system-to-system communication. When an API fails, users often experience broken features, slow responses, or complete service outages. In many cases, they leave before your team even realizes something is wrong. The business impact of API failures is significant.

APIs are no longer just integration layers. They power customer logins, payment processing, SaaS workflows, partner ecosystems, and mobile applications. When an API becomes unavailable, revenue stops, user trust declines, and service level agreements are immediately at risk. Yet many teams still define API availability in the simplest possible way. If an endpoint responds with a 200 OK, the API is considered available. Monitoring dashboards stay green. Alerts remain silent. Everything appears healthy.

Ever had a load balancer become the bottleneck in an on-prem Kubernetes cluster? You are not alone. Traditional hardware load balancers add cost, create coordination overhead, and can make scaling painful. A Kubernetes-native approach can overcome many of those challenges by pushing load balancing into the cluster data plane.