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Answer: C Cloud Computing Seamless integration with AWS, Azure and GCP. Expand description: The AWS SDK for C simplifies interacting with AWS services like Amazon EC2 and S3. Azure SDK for C enables the use of Azure compute, storage, and database services. The GCP Cloud SDK and gRPC client libraries support integration with Google Compute Engine and Google BigQuery.
C Cloud Computing: Integration with Mainstream Cloud Platforms
Cloud computing has become an indispensable part of modern software development. It provides on-demand access to scalable computing resources, allowing developers to focus on building applications rather than managing the underlying infrastructure. For developers using C, integration with major cloud platforms is critical.
Amazon Web Services (AWS)
AWS is the world’s largest cloud platform, providing a range of services to C developers. The AWS SDK for C simplifies interaction with AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), and Amazon DynamoDB.
#include <aws/core/Aws.h> #include <aws/core/client/AsyncCallerContext.h> #include <aws/ec2/Ec2Client.h> #include <aws/ec2/model/RunInstancesRequest.h> int main() { Aws::InitAPI(Aws::SDKOptions{}); { Aws::Client::AsyncCallerContext context; Aws::EC2::Ec2Client ec2_client; Aws::EC2::Model::RunInstancesRequest run_instances_request; run_instances_request.SetImageId("ami-id"); run_instances_request.SetInstanceType("t2.micro"); run_instances_request.SetMinCount(1); run_instances_request.SetMaxCount(1); auto outcome = ec2_client.RunInstancesAsync(run_instances_request, context); if (outcome.IsSuccess()) { std::cout << "Instance launched" << std::endl; } else { std::cout << "Error launching instance: " << outcome.GetError().GetMessage() << std::endl; } } Aws::ShutdownAPI(Aws::SDKOptions{}); return 0; }
Microsoft Azure
Azure also offers a wide range of services for C developers. Azure SDK for C allows developers to use Azure compute, storage, and database services.
#include <azure/core.hpp> #include <azure/identity.hpp> #include <azure/storage.hpp> int main() { auto tenant_id = std::getenv("AZURE_TENANT_ID"); auto client_id = std::getenv("AZURE_CLIENT_ID"); auto client_secret = std::getenv("AZURE_CLIENT_SECRET"); auto storage_account_name = std::getenv("AZURE_STORAGE_ACCOUNT_NAME"); Azure::Core::Credentials::ManagedIdentityCredential creds(tenant_id, client_id, client_secret); Azure::Storage::StorageClient storage_client(storage_account_name, creds); auto blob_client = storage_client.GetBlobContainerClient("container-name"); std::string blob_name = "blob-name"; auto blob = blob_client.DownloadBlob(blob_name); std::cout << "Downloaded blob: " << blob.ContentAs<std::string>() << std::endl; return 0; }
Google Cloud Platform (GCP)
GCP also provides a comprehensive set of C services. The GCP Cloud SDK and gRPC client libraries enable developers to easily integrate Google Cloud services such as Google Compute Engine (GCE), Google Cloud Storage (GCS), and Google BigQuery.
#include <gmock/gmock.h> #include <google/cloud/bigquery/bigquery_read_client.h> #include <google/cloud/bigquery/metadata.h> #include <google/cloud/bigquery/storage/bigquery_storage_client.h> TEST(BigqueryStorageReadWriteIntegrationTest, Read) { google::cloud::bigquery::storage::BigQueryReadClient client; auto channel = client.CreateBigQueryReadChannel( google::cloud::bigquery::storage::v1beta1::ReadSession{}); auto session = google::cloud::bigquery::storage::v1beta1::ReadSession{}; auto writer = client.WriteReadSessionAsync(channel.get(), google::cloud::CompletionQueue{}, std::move(session)); google::cloud::StatusOr<google::cloud::bigquery::storage::v1beta1:: ReadRowsResponse> rows_received; auto read_rows = client.ReadRowsAsync(channel.get(), google::cloud::CompletionQueue{}, google::bigquery::ReadRowsRequest{}); google::cloud::future<void> session_write = writer.get(); do { rows_received = read_rows.get(); } while (true); EXPECT_STATUS_OK(rows_received); }
Conclusion
By integrating with mainstream cloud platforms, C developers can take advantage of elastic, scalable cloud resources. AWS SDK for C, Azure SDK for C, and GCP Cloud SDK provide easy-to-use APIs, giving developers the ability to interact seamlessly with these platforms. These practical examples demonstrate how to use these SDKs to interact with cloud services, thereby expanding the possibilities of C applications.
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