Hello friends!
Welcome to this weeks Sloth Bytes.
I hope you had a great week 😁
🦥 No selling out today
I am genuinely considering selling feet pics, so if you work at a company with a marketing budget please forward this to your boss immediately or the feet come out.
Sloth’s hands and feet are shaped like hooks
Gif by BrookfieldZoo on Giphy
Sloth’s hands and feet are permanently curled into a hook-like arrangement and have very specialized muscles and tendons—this allows them to hang from any limb using almost no energy.
Microservices for Dummies
You’ve probably heard or will hear the term “microservice” from developers.
Let me give you a quick introduction you to microservices and explain when and why you should use them.
What Are Microservices?
Think of a big programming application. It has millions of lines of code, hundreds of files that do a bunch of different things:
Authentication, Payments, Notifications, Infrastructure, Mobile app, Web app, etc.
When those capabilities are shipped as one deployable application, you have a monolith. A monolith can still be cleanly modular inside; “monolith” does not automatically mean “giant spaghetti codebase.”
In simple terms: the application is deployed as one unit, even if the code inside is split into well-organized modules.
Now imagine splitting some business capabilities into separately deployed services that communicate over APIs, messaging, or other network protocols.
That’s the basic microservices idea: independently deployable services built around focused business capabilities. “Micro” doesn’t mean each service must be tiny; the useful boundary is ownership and responsibility, not an arbitrary line count.
Why Break Up a Monolith?
Because sometimes big applications become:
Hard to change
Slow to deploy
Difficult to scale
A nightmare to maintain
Too complex for new developers
Real World Example
Let's say you're building an e-commerce site like Amazon
If you have it as a Monolith it would look like this:
One deployable application
Potentially one database—or multiple data stores managed by the same application
One release unit
Modules that can be loosely or tightly coupled depending on how well the monolith is designed
Now if you broke it up into Microservices, it would look like this:
Products Service (catalog)
Orders Service
Payment Service
User Service
Each service can be deployed and scaled independently. Teams often give services clear ownership of their data, but “one database per service” is a pattern—not a law.
When Do You Need Microservices?
A lot of developers have mixed opinions when it comes to microservices.
Some love it, some don’t, but here are some signs where it wouldn’t hurt to have microservices:
Independent teams need to deploy different parts of the product without coordinating one giant release.
Some workloads need very different scaling or availability characteristics.
The current deployment unit has become a bottleneck.
You have clear domain boundaries that can become stable service boundaries.
The organization has the operational maturity for service discovery, observability, incident response, versioned APIs, and distributed data.
You probably don't need them if:
Small application (99% of your personal projects)
Single team
Simple business logic
Limited resources
Quick prototype needed
Easy to maintain currently
The Good Parts
Independent Deployment and Ownership
Teams can own services and release them separately.
A service can evolve without redeploying the entire product.
Independent Scaling
Scale the expensive or busy capability without scaling everything else.
Choose infrastructure that fits a specific workload when there is a real reason.
Smaller Operational Boundaries
A well-designed service can be easier for its owning team to understand.
Changes can have a smaller blast radius when boundaries and failure handling are designed well.
Organizational Flexibility
Large organizations can align teams with business capabilities.
Services can have different release cadences and reliability targets.
The Not-So-Good Parts
Distributed-System Complexity
Network calls can time out, retry, duplicate work, or partially fail.
Data consistency and cross-service transactions get harder.
Versioning APIs and coordinating schema changes becomes real work.
Operational Overhead
More deployments, dashboards, alerts, credentials, and infrastructure to manage.
You need good tracing, logs, metrics, service ownership, and incident response.
Development and Testing Challenges
Local development can require several dependencies.
Integration and end-to-end testing become more complex.
Debugging one request across multiple services requires distributed tracing and good correlation IDs.
Should You Switch?
Ask yourself:
Is your monolith causing real problems?
Do you have the resources?
Is your team ready?
Can you handle the complexity?
Do the benefits outweigh the costs?
Most personal projects are better served by a simple monolith—or a modular monolith with good internal boundaries. You can always split a proven boundary into a service later if scaling, ownership, or deployment pressure actually justifies the distributed-system tax.
Now remember,
Don't switch to microservices because it's cool. Switch because it solves real problems!
If you want to keep learning
Message queues explained — a common way microservices communicate asynchronously.
Rate limiting explained — how services protect themselves when traffic gets spicy.
5 system design resources — go deeper on distributed systems, databases, caching, and scalability.
Thank you to everyone who submitted 😃
levi-manoel, Risamc, py-JAY, SDKwapis, porrrq, DeveloperCraig, JamesHarryT, RelyingEarth87, nhillemann, Maxime-R-Hub, acollinsMAD and ravener.
Rhyme Time
Create a function that returns true if two lines rhyme and false otherwise. For the purposes of this exercise, two lines rhyme if the last word from each sentence contains the same vowels.
Examples
doesRhyme("Sam I am!", "Green eggs and ham.")
output = True
doesRhyme("Sam I am!", "Green eggs and HAM.")
output = True
# Capitalization and punctuation should not matter.
doesRhyme("You're built like a seat", "I bet you like to eat")
output = True
doesRhyme("You are off to the races", "a splendid day.")
output = False
doesRhyme("and frequently do?", "you gotta move.")
output = FalseNotes
Case insensitive.
Here we are disregarding cases like "thyme" and "lime".
We are also disregarding cases like "away" and "today" (which technically rhyme, even though they contain different vowels).
How To Submit Answers
Reply with
A link to your solution (github, twitter, personal blog, portfolio, replit, etc)
or if you’re on the web version leave a comment!
If you want to be mentioned here, I’d prefer if you sent a GitHub link or Replit!
Another video????
Yep I made another video.
I tried my best to explain DeepSeek.
What do you think about Sloth News?
Should I keep making "Sloth News" videos?
That’s all from me!
Have a great week, be safe, make good choices, and have fun coding.
If I made a mistake or you have any questions, feel free to comment below or reply to the email!
See you all next week.
