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kala
@kala shared an update, 3 weeks, 5 days ago
FAUN.dev()

Google’s Cloud APIs Become Agent-Ready with Official MCP Support

#Model C...  #Apigee  #Google ...  #AI  #MCP 
Apigee Google Cloud Platform Google Kubernetes Engine (GKE) BigQuery

Google supports the Model Context Protocol to enhance AI interactions across its services, introducing managed servers and enterprise capabilities through Apigee.

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devopslinks
@devopslinks added a new tool BigQuery , 3 weeks, 5 days ago.
News FAUN.dev() Team Trending
devopslinks
@devopslinks shared an update, 3 weeks, 5 days ago
FAUN.dev()

AWS Previews DevOps Agent to Automate Incident Investigation Across Cloud Environments

#DevOps  #inciden...  #GenAI  #DevOps ...  #aws 
Datadog Amazon CloudWatch Dynatrace New Relic Amazon Web Services

AWS introduces an autonomous AI DevOps Agent to enhance incident response and system reliability, integrating with tools like Amazon CloudWatch and ServiceNow for proactive recommendations.

AWS Previews DevOps Agent to Automate Incident Investigation Across Cloud Environments
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devopslinks
@devopslinks added a new tool ServiceNow , 3 weeks, 5 days ago.
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cmndrsp0ck
@cmndrsp0ck started using tool Terraform , 3 weeks, 5 days ago.
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cmndrsp0ck
@cmndrsp0ck started using tool Ansible , 3 weeks, 5 days ago.
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cmndrsp0ck
@cmndrsp0ck started using tool Python , 3 weeks, 5 days ago.
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cmndrsp0ck
@cmndrsp0ck started using tool Kubernetes , 3 weeks, 5 days ago.
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cmndrsp0ck
@cmndrsp0ck started using tool Go , 3 weeks, 5 days ago.
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cmndrsp0ck
@cmndrsp0ck started using tool GNU/Linux , 3 weeks, 5 days ago.
Keploy is an AI-powered testing tool that specializes in creating test cases and generating stubs and mocks for end-to-end testing. By automating test generation, it helps teams significantly improve code coverage, achieving up to an impressive 90% test coverage in just a matter of minutes using open-source testing resources. Keploy offers several notable features, including a straightforward Integration Framework for incorporating new libraries, the ability to convert API calls into test cases and data mocks, and the capability to handle a wide range of detailed test scenarios. Additionally, it supports four programming languages: Java, Node.js, Python, and Go.