The new version of Pivotal Cloud Foundry (“PCF” as folks like to say) is out. It has awhole slew of updates across the board. My selective highlights: Google Cloud & Azure support, so you’re all multi-cloud ready (still with OpenStack, VMware, and AWS support). Will run 250,000 containers concurrently; in addition to scaling based on CPU usage, you can now auto-scale on HTTP Latency and HTTP Throughput. Updates to Spring Cloud, Zipkin, and Spring Boot Actuators for diagnostic stuff.

The new version of Pivotal Cloud Foundry (“PCF” as folks like to say) is out. It has awhole slew of updates across the board. My selective highlights: Google Cloud & Azure support, so you’re all multi-cloud ready (still with OpenStack, VMware, and AWS support). Will run 250,000 containers concurrently; in addition to scaling based on CPU usage, you can now auto-scale on HTTP Latency and HTTP Throughput. Updates to Spring Cloud, Zipkin, and Spring Boot Actuators for diagnostic stuff.

The new version of Pivotal Cloud Foundry (“PCF” as folks like to say) is out. It has awhole slew of updates across the board. My selective highlights: Google Cloud & Azure support, so you’re all multi-cloud ready (still with OpenStack, VMware, and AWS support). Will run 250,000 containers concurrently; in addition to scaling based on CPU usage, you can now auto-scale on HTTP Latency and HTTP Throughput. Updates to Spring Cloud, Zipkin, and Spring Boot Actuators for diagnostic stuff.

The new version of Pivotal Cloud Foundry (“PCF” as folks like to say) is out. It has awhole slew of updates across the board. My selective highlights: Google Cloud & Azure support, so you’re all multi-cloud ready (still with OpenStack, VMware, and AWS support). Will run 250,000 containers concurrently; in addition to scaling based on CPU usage, you can now auto-scale on HTTP Latency and HTTP Throughput. Updates to Spring Cloud, Zipkin, and Spring Boot Actuators for diagnostic stuff.

The new version of Pivotal Cloud Foundry (“PCF” as folks like to say) is out. It has awhole slew of updates across the board. My selective highlights: Google Cloud & Azure support, so you’re all multi-cloud ready (still with OpenStack, VMware, and AWS support). Will run 250,000 containers concurrently; in addition to scaling based on CPU usage, you can now auto-scale on HTTP Latency and HTTP Throughput. Updates to Spring Cloud, Zipkin, and Spring Boot Actuators for diagnostic stuff.

The new version of Pivotal Cloud Foundry (“PCF” as folks like to say) is out. It has awhole slew of updates across the board. My selective highlights: Google Cloud & Azure support, so you’re all multi-cloud ready (still with OpenStack, VMware, and AWS support). Will run 250,000 containers concurrently; in addition to scaling based on CPU usage, you can now auto-scale on HTTP Latency and HTTP Throughput. Updates to Spring Cloud, Zipkin, and Spring Boot Actuators for diagnostic stuff.

The new version of Pivotal Cloud Foundry (“PCF” as folks like to say) is out. It has awhole slew of updates across the board. My selective highlights: Google Cloud & Azure support, so you’re all multi-cloud ready (still with OpenStack, VMware, and AWS support). Will run 250,000 containers concurrently; in addition to scaling based on CPU usage, you can now auto-scale on HTTP Latency and HTTP Throughput. Updates to Spring Cloud, Zipkin, and Spring Boot Actuators for diagnostic stuff.

only 10% of organizations surveyed by Gartner are expected to close their on-premises data centers by 2018 Much of Pivotal’s business is on-premises, very much if it. However, most large organizations I talk with really want to get to much more public cloud as soon as possible. They look to Pivotal Cloud Foundry’s multi-cloud compatibility to help them down the line with that. For example, Home Depot is starting to move applications to Google Cloud.

only 10% of organizations surveyed by Gartner are expected to close their on-premises data centers by 2018 Much of Pivotal’s business is on-premises, very much if it. However, most large organizations I talk with really want to get to much more public cloud as soon as possible. They look to Pivotal Cloud Foundry’s multi-cloud compatibility to help them down the line with that. For example, Home Depot is starting to move applications to Google Cloud.

only 10% of organizations surveyed by Gartner are expected to close their on-premises data centers by 2018 Much of Pivotal’s business is on-premises, very much if it. However, most large organizations I talk with really want to get to much more public cloud as soon as possible. They look to Pivotal Cloud Foundry’s multi-cloud compatibility to help them down the line with that. For example, Home Depot is starting to move applications to Google Cloud.