A (MongoDB) New Year’s Resolution

Another New Year. Another reset. Another wave of optimism!

Or, if you are a fan of Manchester United (like me), maybe not so optimistic.

You’ve seen this pattern before. A bad run of form forces a big change:

Sack the manager
Bring in a new system
Promise a fresh start

And yet … the same mistakes keep happening. Poor spacing. Slow transitions. Players doing too much because the fundamentals aren’t there.

Your database systems fail in exactly the same way.

Most MongoDB Problems Aren’t Tactical

Nearly all database problems aren’t tactical, they are Fundamental.

When a MongoDB query is slow, teams often reach for drastic solutions:

Redesign the schema
Rewrite the aggregation
Add caching
Introduce another service

That’s the database equivalent of firing the coach mid-season.

Sometimes it’s justified. Most of the time, it isn’t.

What actually fixes performance are the boring fundamentals:

Making sure to $match early, before $group or $lookup
Using $project to avoid away fields you don’t need
Creating indexes that match real query patterns, not guesses
Removing indexes that look useful but actually never get used

None of these moves make headlines. All of them win games (or in this case just perform better).

MongoDB Doesn’t Care Who the Manager Is

MongoDB executes exactly what you put on the pitch:

A late $match causes scans of documents unnecessarily
A large document still consumes too much memory
A $lookup (without proper filtering) still explodes the result set

There’s no “new manager bounce” in MongoDB. Good intentions don’t automatically get optimized away.

That’s frustrating, but it’s also why MongoDB is so reliable. When you fix something small and concrete, the improvement is real, measurable, and repeatable.

You Can’t Press If Your Shape Is Wrong

Football (soccer) teams that struggle often press harder, instead of fixing spacing.

Teams using MongoDB sometimes do the same:

Overloading documents, instead of spreading out the data
Adding caching, instead of fixing query shape
Scaling hardware instead of fixing indexes
Rewriting code instead of understanding the execution plan

Instead, take a page from the playbook of the best coaches in the world: Performance almost always starts with structure:

Smarter shape (are you using the best data modeling principles? )
Fewer documents flowing through each stage
Fewer fields carried forward
Fewer assumptions about what the database “should” optimize, improve your indexing

Get the shape right, and everything downstream improves.

A Better New Year’s Resolution (for MongoDB and Football Fans)

Instead of promising a rewrite this year, try this:

Fix one small MongoDB mistake you can measure.

One slow query.
One bloated pipeline.
One misleading index.

MongoDB rewards consistency and fundamentals, even when your football team keeps searching for the next big reset.

Progress isn’t always dramatic. Sometimes it’s just fewer self-inflicted problems.

Next Steps and Resources

So what are you waiting for, go make a difference in this new year … one small change at a time!

MongoDB Badges

These are super short, fun ways to learn about a MongoDB topic and you’ll get a badge when you complete them!

Learning MongoDB Course

You can also checkout a free lesson on indexes from my MongoDB Course on LinkedIn Learning:

Basic indexes from Learning MongoDB by Justin Jenkins

MongoDB University

And as always keep an eye out here for more MongoDB learning content, Happy New Year!

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