Google Anthos
Rancher
OpenShift
AWS Outposts
Hex.pm
accurev
Google App Engine
Microsoft Azure
BMC Software
accurev
Microsoft Azure
IBM Tivoli CCMDB
Hex.pm
Red Hat Ansible
CloudBees CI
SnowSoftware
Google Anthos BMC SoftwareNo Google Anthos videos yet. You could help us improve this page by suggesting one.
Based on our record, Google Anthos should be more popular than BMC Software. It has been mentiond 8 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.
Anthos is a service from Google cloud using which we can deploy and manage workloads using various options such as cloud run, GKE, self managed clusters, hybrid cloud clusters, edge based workloads and so on. In this post, we would focus on the autopilot GKE based cluster and deploy HarperDB on it with a Helm chart. - Source: dev.to / over 1 year ago
It might be worth your time to evaluate it as well: https://cloud.google.com/anthos. Source: over 1 year ago
Google Kubernetes Engine provides a similar experience in the context of Google Cloud Computing. It’s a completely managed Kubernetes platform, with emphasize on auto scaling, security features such as container scanning, and a marketplace for prebuild Kubernetes applications. An additional addon is Google Athos, a management environment that allows GKS applications to run in non-Google environments, including... - Source: dev.to / over 1 year ago
Google's Anthos will run on GCP, AWS, Azure, or your own equipment. Doesn't seem that expensive, actually. Source: over 1 year ago
When using GKE, you pay an administration fee of $0.10 per hour per cluster, and otherwise, you only pay for the underlying resources. However, this administration fee can be waived by running GKE on-prem, with the help of Anthos. - Source: dev.to / almost 2 years ago
I would typically adjust the address in the connection component to either be static "https://bmc.com" or adjust it to be "{PSMRemoteMachine}" and prompt the user for the address (depending if you have multiple target addresses or not). Source: almost 2 years ago
I interpreted the bmc.com article as saying that "mysparksession.blablabla," when run from Jupyter notebook, will not run in distributed mode--do you agree that that's what they mean? Whether that's what they mean or not, do you think it's correct? Source: about 3 years ago
Thanks! I'm glad to hear that the bmc.com article might be bogus. If I understand that article correctly, it predicts that the Spark job you ran would be executed only on the driver node (or at least that it would have, if it were running on the type of Spark cluster that the writers imagine you using). Do you agree with that? Source: about 3 years ago
Rancher - Open Source Platform for Running a Private Container Service
accurev - version control system. Licensed
OpenShift - OpenShift gives you all the tools you need to develop, host and scale your apps in the public or private cloud. Get started today.
Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.
AWS Outposts - Application and Data, Build, Test, Deploy, and AWS Tools
IBM Tivoli CCMDB - IBM Tivoli CCMDB is another Change and Configuration Management Database that allows the users to manage, audit, and coordinate the processes of change and configuration management processes.