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6;\n",{"type":34,"tag":91,"props":332,"children":334},{"class":93,"line":333},28,[335],{"type":34,"tag":91,"props":336,"children":337},{},[338],{"type":40,"value":339}," google.protobuf.Timestamp created_at = 7;\n",{"type":34,"tag":91,"props":341,"children":343},{"class":93,"line":342},29,[344],{"type":34,"tag":91,"props":345,"children":346},{},[347],{"type":40,"value":173},{"type":34,"tag":43,"props":349,"children":350},{},[351,353,359,361,367],{"type":40,"value":352},"Note ",{"type":34,"tag":49,"props":354,"children":356},{"className":355},[],[357],{"type":40,"value":358},"ListProducts",{"type":40,"value":360}," uses server-side streaming — the server sends a stream of ",{"type":34,"tag":49,"props":362,"children":364},{"className":363},[],[365],{"type":40,"value":366},"Product",{"type":40,"value":368}," messages, ideal for large paginated datasets without holding everything in memory.",{"type":34,"tag":35,"props":370,"children":372},{"id":371},"implementing-the-server",[373],{"type":40,"value":374},"Implementing the Server",{"type":34,"tag":81,"props":376,"children":380},{"className":377,"code":378,"language":379,"meta":7,"style":7},"language-go shiki shiki-themes github-light","package main\n\nimport (\n \"context\"\n \"log/slog\"\n \"net\"\n\n \"google.golang.org/grpc\"\n \"google.golang.org/grpc/codes\"\n \"google.golang.org/grpc/status\"\n pb \"github.com/org/services/catalogue/v1\"\n)\n\ntype catalogueServer struct {\n pb.UnimplementedCatalogueServiceServer\n repo ProductRepository\n}\n\nfunc (s *catalogueServer) GetProduct(\n ctx context.Context,\n req *pb.GetProductRequest,\n) (*pb.Product, error) {\n if req.ProductId == \"\" {\n return nil, status.Error(codes.InvalidArgument, \"product_id is required\")\n }\n\n product, err := s.repo.FindByID(ctx, req.ProductId)\n if err != nil {\n if errors.Is(err, ErrNotFound) {\n return nil, status.Errorf(codes.NotFound, \"product %q not found\", req.ProductId)\n }\n slog.ErrorContext(ctx, \"failed to fetch product\", \"id\", req.ProductId, \"err\", err)\n return nil, status.Error(codes.Internal, \"internal error\")\n }\n\n return toProto(product), nil\n}\n\nfunc (s *catalogueServer) ListProducts(\n req *pb.ListProductsRequest,\n stream pb.CatalogueService_ListProductsServer,\n) error {\n products, err := s.repo.List(stream.Context(), req.CategoryId, req.PageSize)\n if err != nil {\n return status.Error(codes.Internal, \"failed to list products\")\n }\n\n for _, p := range products {\n if err := stream.Send(toProto(p)); err != nil {\n return err // Client disconnected\n }\n }\n return nil\n}\n\nfunc main() {\n lis, err := net.Listen(\"tcp\", \":50051\")\n if err != nil {\n slog.Error(\"failed to listen\", \"err\", err)\n os.Exit(1)\n }\n\n s := grpc.NewServer(\n grpc.ChainUnaryInterceptor(\n otelgrpc.UnaryServerInterceptor(), // Distributed tracing\n recoveryInterceptor(), // Panic recovery\n loggingInterceptor(), // Structured logging\n ),\n grpc.ChainStreamInterceptor(\n otelgrpc.StreamServerInterceptor(),\n ),\n )\n\n pb.RegisterCatalogueServiceServer(s, &catalogueServer{repo: newPostgresRepo()})\n\n slog.Info(\"gRPC server listening\", \"addr\", \":50051\")\n if err := s.Serve(lis); err != nil {\n slog.Error(\"server failed\", \"err\", err)\n }\n}\n","go",[381],{"type":34,"tag":49,"props":382,"children":383},{"__ignoreMap":7},[384,392,399,407,415,423,431,438,446,454,462,470,478,485,493,501,509,516,523,531,539,547,555,563,571,579,586,594,602,610,619,628,637,646,654,662,671,679,687,696,705,714,723,732,740,749,757,765,774,783,792,800,808,817,825,833,842,851,859,868,877,885,893,902,911,920,929,938,947,956,965,973,982,990,999,1007,1016,1025,1034,1042],{"type":34,"tag":91,"props":385,"children":386},{"class":93,"line":94},[387],{"type":34,"tag":91,"props":388,"children":389},{},[390],{"type":40,"value":391},"package 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The Go ecosystem has excellent OpenTelemetry support:",{"type":34,"tag":81,"props":1538,"children":1540},{"className":377,"code":1539,"language":379,"meta":7,"style":7},"func initTelemetry(ctx context.Context, serviceName string) func() {\n // OTLP exporter → Grafana Tempo / Jaeger / Azure Monitor\n exporter, _ := otlptracegrpc.New(ctx,\n otlptracegrpc.WithEndpoint(\"otel-collector:4317\"),\n otlptracegrpc.WithInsecure(),\n )\n\n tp := sdktrace.NewTracerProvider(\n sdktrace.WithBatcher(exporter),\n sdktrace.WithResource(resource.NewWithAttributes(\n semconv.SchemaURL,\n semconv.ServiceName(serviceName),\n semconv.ServiceVersion(\"v2.4.1\"),\n )),\n )\n\n otel.SetTracerProvider(tp)\n otel.SetTextMapPropagator(propagation.TraceContext{})\n\n // Prometheus metrics via grpc-go interceptors\n grpcmetrics.EnableHandlingTimeHistogram()\n\n return func() { tp.Shutdown(ctx) }\n}\n",[1541],{"type":34,"tag":49,"props":1542,"children":1543},{"__ignoreMap":7},[1544,1552,1560,1568,1576,1584,1591,1598,1606,1614,1622,1630,1638,1646,1654,1661,1668,1676,1684,1691,1699,1707,1714,1722],{"type":34,"tag":91,"props":1545,"children":1546},{"class":93,"line":94},[1547],{"type":34,"tag":91,"props":1548,"children":1549},{},[1550],{"type":40,"value":1551},"func initTelemetry(ctx context.Context, serviceName string) func() {\n",{"type":34,"tag":91,"props":1553,"children":1554},{"class":93,"line":103},[1555],{"type":34,"tag":91,"props":1556,"children":1557},{},[1558],{"type":40,"value":1559}," // OTLP exporter → Grafana Tempo / Jaeger / Azure Monitor\n",{"type":34,"tag":91,"props":1561,"children":1562},{"class":93,"line":112},[1563],{"type":34,"tag":91,"props":1564,"children":1565},{},[1566],{"type":40,"value":1567}," exporter, _ := 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otel.SetTracerProvider(tp)\n",{"type":34,"tag":91,"props":1677,"children":1678},{"class":93,"line":245},[1679],{"type":34,"tag":91,"props":1680,"children":1681},{},[1682],{"type":40,"value":1683}," otel.SetTextMapPropagator(propagation.TraceContext{})\n",{"type":34,"tag":91,"props":1685,"children":1686},{"class":93,"line":254},[1687],{"type":34,"tag":91,"props":1688,"children":1689},{"emptyLinePlaceholder":125},[1690],{"type":40,"value":128},{"type":34,"tag":91,"props":1692,"children":1693},{"class":93,"line":262},[1694],{"type":34,"tag":91,"props":1695,"children":1696},{},[1697],{"type":40,"value":1698}," // Prometheus metrics via grpc-go interceptors\n",{"type":34,"tag":91,"props":1700,"children":1701},{"class":93,"line":270},[1702],{"type":34,"tag":91,"props":1703,"children":1704},{},[1705],{"type":40,"value":1706}," 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The throughput difference comes almost entirely from Protobuf serialisation overhead reduction and Go's efficient scheduler.",{"type":34,"tag":43,"props":1813,"children":1814},{},[1815],{"type":40,"value":1816},"gRPC's streaming support also unlocks patterns JSON REST simply can't match efficiently — real-time product availability updates via server push, bidirectional chat, and large data exports without buffering entire result sets in memory.",{"type":34,"tag":43,"props":1818,"children":1819},{},[1820],{"type":40,"value":1821},"Build the service once with the right foundation, and you'll rarely need to revisit it for performance reasons.",{"type":34,"tag":1823,"props":1824,"children":1825},"style",{},[1826],{"type":40,"value":1827},"html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}",{"title":7,"searchDepth":112,"depth":112,"links":1829},[1830,1831,1832,1833,1834,1835,1836],{"id":37,"depth":103,"text":41},{"id":64,"depth":103,"text":67},{"id":371,"depth":103,"text":374},{"id":1065,"depth":103,"text":1068},{"id":1358,"depth":103,"text":1361},{"id":1528,"depth":103,"text":1531},{"id":1744,"depth":103,"text":1747},"markdown","content:blog:golang-grpc-microservices.md","content","blog/golang-grpc-microservices.md","blog/golang-grpc-microservices","md",[1844,2507,4624],{"_path":1845,"_dir":5,"_draft":6,"_partial":6,"_locale":7,"title":1846,"description":1847,"slug":1848,"date":1849,"readTime":1850,"category":1851,"image":1852,"imageCaption":1853,"author":1854,"tags":1856,"body":1861,"_type":1837,"_id":2504,"_source":1839,"_file":2505,"_stem":2506,"_extension":1842},"/blog/azure-architecture-patterns","Scalable Azure Architecture Patterns Every Cloud Engineer Should Know in 2025","Explore the proven Azure architecture patterns—from Container Apps microservices to multi-region high availability—that MediaFront uses to build resilient, cost-efficient cloud applications.","azure-architecture-patterns","2025-04-10","10 min","Cloud","https://images.unsplash.com/photo-1451187580459-43490279c0fa?w=1200&h=600&fit=crop&auto=format","Azure cloud infrastructure supporting modern microservices at global scale",{"name":17,"role":18,"avatar":19,"bio":20,"social":1855},{"github":22,"twitter":23,"linkedin":24},[1857,1858,28,1859,1860],"Azure","Cloud Architecture","Containers","DevOps",{"type":31,"children":1862,"toc":2493},[1863,1869,1874,1880,1885,1890,1933,1938,1946,1951,1957,1962,1967,2063,2068,2074,2079,2112,2117,2123,2128,2181,2186,2192,2197,2205,2210,2216,2221,2264,2270,2275,2417,2430,2436,2441,2484,2489],{"type":34,"tag":35,"props":1864,"children":1866},{"id":1865},"why-azure-architecture-decisions-matter-more-than-ever",[1867],{"type":40,"value":1868},"Why Azure Architecture Decisions Matter More Than Ever",{"type":34,"tag":43,"props":1870,"children":1871},{},[1872],{"type":40,"value":1873},"Choosing the wrong architecture pattern on Azure can cost a company thousands of euros per month in wasted compute and dozens of engineering hours untangling bottlenecks. 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