Learn the theory and fundamentals of caching to temporarily store and retrieve data in Node.js applications.
- [Instructor] One way to make applications…faster is to use caching.…In programming, caching is storing and retrieving…data in a temporary storage area.…Within the scope of this course…we'll be taking a high level overview of the…fundamentals of caching.…In the final video I'll provide some more…information on courses in your library…where you could take a deeper dive.…Caching is used to store the results of…slow or inefficient operations.…A cache is typically stored with…an expiration time.…So when that time is reached then the slow…operation is executed again.…
The expiration time is set with what's known as a…time to live or TTL.…TTL is a counter that limits the chronological…lifetime of data.…Cached data can have an infinite TTL,…but that runs the risk of having…out of date data.…Therefore, it's best to have a logical balance…between having the most current data…and avoiding slow operations.…That's always an interesting conversation when…balancing business and technical leads.…Caching is similar to checking books out…
- Building a troubleshooting mindset
- Why measure performance?
- What's a microservice architecture?
- Managing microservices with PM2
- Effective logging strategies
- Debugging Node.js applications
- Benchmarking performance
- Profiling code execution
- Knowing what to optimize
Skill Level Intermediate
1. Build a Troubleshooting Mindset
2. Introducing Microservices
3. Effective Logging Strategies
4. Debugging Node.js Applications
Debugging isn't just logging3m 51s
5. Measuring Performance
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