A Day in the Life of a Go Developer: Code, Microservices, and Production Silence

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Introduction: Myths and Reality of a Go Programmer

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In the IT community, there are two polarizing opinions about the work of a Go developer. Some say it's a perfectionist's paradise: strict typing, no class inheritance, and lightning-fast compilation. Others say it's endless if err != nil and fighting with generics (even though they've already been added).

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Where is the truth? What is a Go developer's workday really like in an average company that writes high-load microservices? Today I'll open the door to my reality. No fluff — just code, tools, and real cases.

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I work at a product company where Golang is the main backend language. Our stack: gRPC, PostgreSQL, Kafka, Kubernetes. A typical story for modern Go development. Let's go.

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08:30 — Morning: Plan and Code Review

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The day starts not with coffee, but with checking notifications in GitLab and Slack. While the brain is fresh, it's the best time to review colleagues' Merge Requests.

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Morning Routine: What do I check first?

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  • CI/CD errors — if the build failed overnight, that's the first task.
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  • Comments on my code — in Go, detailed reviews are standard.
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  • Monitoring graphs — did latency increase after yesterday's deployment.
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Speaking of code review. There's an unwritten rule in the Go community: code should be simple. If you write a complex wheel, you'll get rejected in review. An example of a typical comment from a senior:

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// Bad: excessive abstraction\ntype Processor interface {\n    Process(ctx context.Context, data []byte) ([]byte, error)\n}\n\n// Good: just a function\nfunc Process(ctx context.Context, data []byte) ([]byte, error) {\n    // logic\n}\n
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At 09:00 — daily standup. We don't waste time on long stories. Format: what I did yesterday, what I'll do today, any blockers. No "how was your evening".

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09:30 — Diving into Code: Writing a Microservice in Go

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Today's plan is to improve the notification service. This is a classic microservice in Go that receives events from Kafka and sends email/push. Task: add template support.

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First, I open the project structure. In Go, a minimalist folder tree is standard:

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notifier/\n├── cmd/\n│   └── server/\n│       └── main.go\n├── internal/\n│   ├── handler/\n│   ├── service/\n│   └── repository/\n├── pkg/\n│   └── models/\n└── go.mod\n
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I start with the data model. In Go, for database work, people often use Go ORM (e.g., GORM) or pure SQL queries via sqlx. I prefer sqlx — less magic, more control.

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type Template struct {\n    ID      int64  `db:"id"`\n    Name    string `db:"name"`\n    Content string `db:"content"`\n    CreatedAt time.Time `db:"created_at"`\n}\n\nfunc (r *Repository) GetTemplateByName(ctx context.Context, name string) (*Template, error) {\n    var t Template\n    err := r.db.GetContext(ctx, &t, "SELECT * FROM templates WHERE name = $1", name)\n    if err != nil {\n        return nil, fmt.Errorf("get template: %w", err)\n    }\n    return &t, nil\n}\n
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Notice the error handling. In Golang, there's no try-catch. Every function call is checked for errors. This isn't a bug, it's a feature — the code becomes predictable. In 5 years of work, I've never caught an unexpected null pointer in production.

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11:00 — Integration with gRPC

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The next step is to add a gRPC endpoint for the admin panel. In modern Go development, gRPC has become the standard for internal services. It's faster than REST and generates clients automatically.

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First, I describe the proto file:

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syntax = "proto3";\n\npackage notifier;\n\nservice TemplateService {\n    rpc CreateTemplate (CreateTemplateRequest) returns (TemplateResponse);\                

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