Software Engineering
- Solution : Apply the Single Responsibility Principle - each microservice should focus on one single capability that it masters.
- Benefits : This specialization makes microservices easier to comprehend, test, scale, and upgrade. It's like having a coordinated team where each member excels at their role.
- Pitfalls : Violating this principle leads to
Muaath Bin Ali • Microservices Design Principles
Loose Coupling and High Cohesion: How To Avoid Tight Coupling and Low Cohesion?
Cohesion is a measure of the number of relationships that parts of a component have with each other.
High cohesion means that : All of the parts that are needed to deliver the component's functionality are included in the component.
Coupling is a measure of the number of... See more
Cohesion is a measure of the number of relationships that parts of a component have with each other.
High cohesion means that : All of the parts that are needed to deliver the component's functionality are included in the component.
Coupling is a measure of the number of... See more
Muaath Bin Ali • Microservices Design Principles
But now we are only logging that error message. It would be better to define a custom Exception that we can then handle in our API in order to return a specific error code to the user:
import pandas as pd
import logging
class DataLoadError(Exception):
"""Exception raised when the data cannot be loaded."""
def __init__(self, message="Data could not be... See more
import pandas as pd
import logging
class DataLoadError(Exception):
"""Exception raised when the data cannot be loaded."""
def __init__(self, message="Data could not be... See more
How to Write Clean Code in Python
And then, in the primary function of your API:
try:
df = load_data('path/to/data.csv')
# Further processing and model prediction
except DataLoadError as e:
# Return a response to the user with the error message
# For example: return Response({"error": str(e)}, status=400)- Requirements (or constraints) : What does success look like? What can we not do?
- Methodology : How will we use data and code to achieve success?
- Implementation : What infrastructure is needed in production?
Real-time Machine Learning For Recommendations
Welcome to rx!
rx is a command-line tool that makes it easy to create, use, and share development environments. It integrates with whatever tools you're currently using and gives you a long-running VM in the cloud that is kept in sync with your local machine.
Check out our blog post on why we built rx .
rx is a command-line tool that makes it easy to create, use, and share development environments. It integrates with whatever tools you're currently using and gives you a long-running VM in the cloud that is kept in sync with your local machine.
Check out our blog post on why we built rx .
GitHub - run-rx/rx: Remote execution made easy
Developer environments you can take with you
Discourse | Documentation | Blog | Twitter
Flox is a virtual environment and package manager all in one. With Flox you create environments that layer and replace dependencies just where it matters, making them portable across the full software lifecycle
Install packages from the biggest open source... See more
Discourse | Documentation | Blog | Twitter
Flox is a virtual environment and package manager all in one. With Flox you create environments that layer and replace dependencies just where it matters, making them portable across the full software lifecycle
Install packages from the biggest open source... See more
flox • GitHub - flox/flox: Developer environments you can take with you
Each log message in the system should be unique.
If I query for a log in a specfic service, I will be confused to see the exact same logs at different flows inside the service.
More than that, I’ll just have to start debugging for the issue, since the logs are now offically useless.
One way to keep the logs unique is to denote the service name and... See more
If I query for a log in a specfic service, I will be confused to see the exact same logs at different flows inside the service.
More than that, I’ll just have to start debugging for the issue, since the logs are now offically useless.
One way to keep the logs unique is to denote the service name and... See more
Logging practices I follow
factory_boy
factory_boy is a fixtures replacement based on thoughtbot's factory_bot.
As a fixtures replacement tool, it aims to replace static, hard to maintain fixtures with easy-to-use factories for complex objects.
Instead of building an exhaustive test setup with every possible combination of corner cases, factory_boy allows you to use objects... See more
factory_boy is a fixtures replacement based on thoughtbot's factory_bot.
As a fixtures replacement tool, it aims to replace static, hard to maintain fixtures with easy-to-use factories for complex objects.
Instead of building an exhaustive test setup with every possible combination of corner cases, factory_boy allows you to use objects... See more
FactoryBoy • GitHub - FactoryBoy/factory_boy: A test fixtures replacement for Python
- Terraform Providers: Terraform is primarily used for defining the infrastructure resources. Its strength lies in its vast collection of providers that offer standardized ways to interact with various cloud services (AWS, Azure, GCP, etc.) and on-premises infrastructure. These providers are essentially plugins that understand the specific APIs and