Calisti effortlessly secures, deploys, and manages your cloud native apps and event drive platforms such as Apache Kafka at scale on Kubernetes, on hybrid multi-cloud ◦ Calisti simplifies zero-trust security by integrating security into Apache Kafka through Kubernetes. ◦ Calisti simplifies observability by integrating metrics, events, logs, topology, and tracing into a single pane of glass, accelerating root cause analysis and remediation time. ◦ Calisti simplifies the management of services such as Scaling of clusters by providing a user-friendly platform offering features like real-time network debugging tools, integrated configuration validation, and a sleek UI dashboard.
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Based on our record, Google Cloud Deployment Manager seems to be more popular. It has been mentiond 12 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Infrastructure as code (IaC) allows DevOps teams to define the end state of the required infrastructure and deploy it using a template-based approach. Public cloud platforms each provide proprietary IaC tools, such as Azure (ARM Templates and Bicep), AWS (CloudFormation), and GCP (Deployment Manager). - Source: dev.to / 11 months ago
Start with the google docs https://cloud.google.com/deployment-manager/docs. Source: about 1 year ago
Cloud Deployment Manager: Templated infrastructure deployment 🔗Link 🔗Link. - Source: dev.to / almost 2 years ago
When exploring options on how to deploy the architecture we briefly considered Google Cloud Deployment Manager. Upon further investigation we were led to use Terraform instead. It was evident that Cloud Deployment Manager did not have the necessary support for the resource types that we were trying to create. Many of the supported resource types were still listed in beta. - Source: dev.to / almost 2 years ago
Deployment Manager templates give declarative language choices rather than imperative ones; this means that DevOps teams may tell Deployment Manager what a final deployment should look like, and GCP will automatically utilize the tools and procedures. When an excellent deployment method is created, it is saved so that it may be repeated and scaled on demand. Source: almost 2 years ago
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