Beginner guide on how to set up local development for Amazon DynamoDB with migration and seeder without creating a custom program.
Why Amazon DynamoDB?
Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It’s a fully managed, multi-region, multi-active, durable database with built-in security, backup and restores, and in-memory caching for internet-scale applications.
The Problem
Since Amazon DynamoDB is a fully managed service, in the past we used to have to connect to a real instance even on the local development process. Nowadays with Docker, we can just spawn a container within our local machine for local development.
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Although we are living in a non-ideal world, that’s doesn’t mean we shouldn’t even bother to strive for the best of our capabilities to create an ideal world. The same thing with software engineering, there are some values that we should practice to improve ourselves and others. The thing is it’s not all about the code, it’s so much more than that. Remember that every value let the team make progress in delivering value.
Engineering
- Adhere to current standards and best practices in deploying and running services in a distributed environment, and writing high quality, clean and operationally ready code. Writes…
Benchmarking some popular PostgreSQL client libraries for Go to find the fastest one.
Motivation
Increasing RPS (request per second) is not an easy task. Changing your code to increase performance is even more challenging. There are several popular libraries out there, and almost every single one claims to be the fastest. The problem arises when the benchmarking result is out of date. Even worse when the one who did the benchmark tunes the library in a non-general way. Hence, the achieve the same performance is pretty much impossible for the general user.
The purpose of the benchmark is to find the…
Setup log management using an open-source solution.
Why Do We Need Log Management?
Let’s say you're running your application on a dedicated server. Then a bug occurred on your application, you need to debug it, the first thing you reach out to is most probably will be the log file, you will be looking for the application stack trace. If your application does not have much traffic then writing the application to the log file and using cat, tail, and grep is more than enough to find the specific log regarding that error.
But what happened when the logs are spread in several files? Let’s say…
Benchmarking some popular Redis client libraries for Go to find the fastest one.
Motivation
Increasing RPS (request per second) is not an easy task. Changing your code to increase performance is even more challenging. There are several popular libraries out there, and almost every single one claims to be the fastest. The problem arises when the benchmarking result is out of date. Even worse when the one who did the benchmark tunes the library in a non-general way. Hence, the achieve the same performance is pretty much impossible for the general user.
The purpose of the benchmark is to find the…
Why Fiber Web Framework?
Fiber popularity rank is on the rise. Based on the latest benchmark it’s way faster than Echo. The biggest difference with Echo, that it uses fasthttp router instead of net/http.
The benchmark graph above means the higher the value the better. It means that our HTTP router can process more request per seconds. Fiber is basically much faster compares to Echo.
Why Swagger Specification?
Writing a specification is a meticulous process in Software Engineering. Regardless, it’s necessary if we want our API being used by others. It helps others to integrate without API with more ease. The better the documentation the easier others…
Why Gin Web Framework?
Gin is one of the most popular frameworks for Go. It’s simple to use.
Why Swagger Specification?
Writing a specification is a meticulous process in Software Engineering. Regardless, it’s necessary if we want our API being used by others. It helps others to integrate without API with more ease. The better the documentation the easier others will integrate it into their system. In order to tackle this problem, we should follow a standardized way to create API documentation in the industry, the OpenAPI Specification or formerly known as the Swagger Specification.
The OpenAPI Specification, formerly known as the Swagger Specification, is the world’s…
Moving on from serial id when inserting a new database record.
In any database, we always need an identifier to differentiate one record from one another, commonly known as Primary Key. Now let’s say we want to create a table to record user information. It’s very common for us the create a table like:
create table user(
id serial primary key,
full_name varchar
);Most of us used to create the primary key serial. Rememberserial is implemented through a sequence, which acts a bit like a counter. Each time we insert new data to the current table, the next sequence…
Beginner guide on how to calculate maximum requests per second that a server can handle.
One of the important part before creating a new service is called capacity planning. In this process, we calculate how many resources are we are required for the service to able to handle the projected traffic.
In Layman’s terms, this planning will be like planning for a trip for a bunch of people, knowing how many people that will go, can help you determine how many cars are required for the trip. …
Introduction to N+1 Problem and how to avoid a common performance pitfall.
What is the N+1 Problem?
The N+1 query problem is a common performance antipattern which occurs when the code needs to load a bunch of children from a parent data in the one-to-many relation. Queries are executed for the parent record, then one query for each child records. End up doing N+1 queries to the database to get each child belonging to the parent record.
Example
Let's assume you have a table, calls “category” to record the list of categories that available in your shop. Each category may have one or more products that…
