# cloud marketplace Published articles for cloud marketplace. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Temporal expands its Google Cloud Partnership with Gemini integration and pay-as-you-go pricing on Google Cloud Marketplace DevFeed: [Temporal expands its Google Cloud Partnership with Gemini integration and pay-as-you-go pricing on Google Cloud Marketplace]() Original publisher: [Read original article]() Author: Jay Sivachelvan Published: 2026-08-31T00:00:00Z Content type: release Language: en Sources: [Temporal Blog]() Topics: [Google Cloud Platform (GCP)](), [SDKs](), [Google](), [reliability](), [Artificial Intelligence](), [Cloud Run](), [Resilience](), [API](), [Serverless]() Tags: [agent](), [agent-development-kit](), [agent-framework](), [announcements](), [api](), [billing](), [cloud-marketplace](), [cloud-run](), [execution](), [gemini](), [google](), [google-cloud](), [integration](), [launch](), [partnership](), [pricing]() ### AI overview Temporal announces expanded Google Cloud integrations, including Public Preview support for the Google Gen AI Python SDK, durable execution for Gemini-based workflows, and pre-release Serverless Workers for Google Cloud Run. Temporal Cloud is also available on Google Cloud Marketplace with pay-as-you-go pricing. ### Source excerpt Temporal expands its Google Cloud partnership with Gemini integration, durable execution, and pay-as-you-go pricing on Google Cloud Marketplace. ## Introducing the Hyperscaler GTM Playbook DevFeed: [Introducing the Hyperscaler GTM Playbook]() Original publisher: [Read original article]() Author: flashdba Published: 2026-07-13T21:11:00Z Content type: article Language: en Sources: [flashdba]() Topics: [Cloud](), [cloud-infrastructure](), [Amazon Web Services](), [Azure](), [Google]() Tags: [articles](), [aws](), [azure](), [cloud](), [cloud-alliances](), [cloud-co-sell](), [cloud-marketplace](), [google-cloud](), [guide](), [hyperscaler](), [isv](), [partner](), [practitioner]() ### AI overview A vendor-neutral 16-article Hyperscaler GTM Playbook explains cloud alliances, co-sell, and marketplace operations for ISVs selling alongside AWS, Azure, and Google Cloud. It emphasizes the practical differences among the hyperscalers and the importance of whether software runs in the provider's or the customer's cloud account. ### Source excerpt A vendor-neutral practitioner guide on cloud alliances, co-sell and marketplace - 16 articles covering everything from partner programs to private offers, for ISVs selling with AWS, Azure and Google Cloud. ## Blog: Adding runtime threat detection to Google Kubernetes Engine with Falco DevFeed: [Blog: Adding runtime threat detection to Google Kubernetes Engine with Falco]() Original publisher: [Read original article]() Published: 2023-11-20T00:00:00Z Content type: tutorial Language: en Sources: [Falco - Falco](), [Falco - The Falco blog]() Topics: [Falco](), [Gke](), [threat detection](), [Kubernetes](), [Containers](), [eBPF](), [Google Cloud Platform (GCP)]() Tags: [cloud-marketplace](), [ebpf](), [falco](), [gke](), [google-cloud](), [google-kubernetes-engine](), [helm](), [kubernetes](), [threat-detection]() ### AI overview This tutorial explains how to add Falco runtime threat detection to Google Kubernetes Engine clusters. It describes Falco's syscall monitoring, its use of Kubernetes and container-runtime context, example security rules, installation through Google Cloud Marketplace or Helm, and constraints involving Autopilot, privileged containers, and eBPF drivers. ### Source excerpt One of the big advantages of running your workloads on a managed Kubernetes service like Google Kubernetes Engine (GKE) is that Google ensures your clusters are being deployed and managed following industry best practices. While GKE clusters are incredibly secure and reliable, there is always room for improvement. In this blog, we're going to describe how you can enhance GKE's already great security by adding runtime threat detection with Falco. What is Falco? Falco is a Cloud Native Computing Foundation project that provides runtime threat detection. Out of the box, Falco examines syscalls to alert you to any suspicious activity. And, since containers share the same kernel as their host, Falco can monitor not only activity on the host but also activity on all of the containers running on that host. Moreover, Falco pulls data from both Kubernetes and the container runtime to add additional context to its alerts. With Falco running on your GKE clusters you can be notified of a wide variety of events, such as: Did someone start a container with high privileges? Has someone shelled into a running container? Has an executable been added to the container after it was deployed? These are just a few examples. Falco has over 80 rules that can be used to make you aware of not only external threats but also when clusters aren't being operated in accordance with industry best practices. GKE Installation considerations There are two different ways to install Falco on GKE. The first is using the prepackaged click-to-run offering in the Google Cloud Marketplace. The second is using Falco's helm chart. The click-to-run offering is probably the simplest way to get up and running with Falco on GKE, but the drawback is that the version offered often lags behind the latest release. It's also important to note that as of this writing, you cannot run Falco on GKE clusters running in Autopilot mode. This is primarily because Falco uses an init container running with privileged access to