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• Resource orientation and concurrency considerations
• Proto-c and produce plugins
• Debugging utilities

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• Grpc has reached 66,000 stars on GitHub and has a large number of new members in the last six months
• The team is investing more in the project and has a very active release cadence
• The proxylist servermesh product has launched observability and custom load balancer policy features
• The team takes issues and pull requests seriously and encourages contributions from outside the team
• Grpc is interested in having more maintainers and graduating from incubator status

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• Storing public certificates in a distributed system to avoid latency fees
• Distributed systems allow for tolerance of failures and increased availability
• Testing for concurrency bugs is crucial in building a distributed system
• Reframing distributed systems as a flow of events across space and time can improve user experience
• The use of Kafka in Tinder's app demonstrates the importance of strict ordering in distributed systems

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• Datadog faced a complex incident in their Kubernetes environment
• Initially suspected DNS issues during rolling updates
• Extensive debugging revealed the issue was related to the connection tracking table used by the hypervisor in AWS instances
• Tried different instance types and sizes to address the issue
• Contacted AWS for more information on connection tracking limits

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• Horizontal Pod Auto Scaler has released a v2 API and deprecated v2 beta1 and v2 beta2
• No changes to the serialization format
• Programmatic API interface has changed
• Cluster Auto Scaler has added gRPC extensions
• Vertical Pod Auto Scaler has undergone changes
• Community involvement is encouraged

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• gRPC enables remote procedure calls to make them almost as simple to use as in process direct calls
• Microservice architecture is enabled by gRPC where a monolithic application is broken up into multiple microservices
• Service mesh comes up to automate or manage the microservices
• Proximal service mesh enhances gRPC to have the same traffic management and security functionality as the proxy
• The services in the mesh talk to each other directly without the proxies

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• Transitioning to Kubernetes logical services improved service discovery and connectivity between services.
• Using gRPC for backbone protocols resulted in long-lived connections and inefficient load balancing.
• Deploying a service mesh to production provided immediate operational and cost economy benefits, including reduced costs for moving data between zones and mutual TLS support for all communications within the pod.
• Future plans include deploying Chaos Mesh more fully and switching to isolated individual clusters per geographic area.

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• gRPC uses xDS protocol to implement secure communication between clients and servers
• Certificate provider plug-in framework enables various mechanisms to obtain certificates and keys
• The framework is implemented in gRPC Go, C++, Java, and Python
• The presentation provides links to resources for more information