What Is Cache Invalidation? A Complete Guide for Beginners!

This complete guide will explain What Is Cache Invalidation, how it works, why it is important, different cache invalidation strategies, its major features, benefits, challenges, popular tools, real-world examples, common mistakes, expert tips, and future trends.

Caching helps websites, applications, APIs, and software systems load faster by temporarily storing frequently requested data. Instead of processing the same request repeatedly, the system can serve stored information directly from the cache, which can reduce server load, database queries, and response time.

However, caching can also create problems when the original data changes but the cached version remains outdated. For example, a product price may be updated in the database, while visitors continue seeing the old price because an earlier version is still stored in the cache.

Cache invalidation helps solve this problem by removing, updating, expiring, or revalidating cached data when it is no longer accurate.

It plays an important role in modern websites and applications where information may be cached at multiple levels, including browsers, content delivery networks (CDNs), application servers, APIs, databases, and object caching systems such as Redis.

Whether you are a website owner, developer, software engineer, blogger, SEO professional, digital marketer, SaaS founder, or IT professional, understanding cache invalidation can help you improve website performance while ensuring users receive fresh and accurate information.

Let’s explore it together.

What Is Cache Invalidation?

Cache invalidation is the process of marking cached information as outdated or removing it when the original data has changed, so that the next request receives fresh and accurate information.

In simple words:

Cache invalidation tells a caching system: “This stored copy is no longer valid. Do not continue serving it.”

Suppose a website stores this product information in cache:

Product ID: 501
Name: Wireless Keyboard
Price: ₹1,499

Later, the administrator changes the price in the database:

Price: ₹1,199

If the cached version is not updated or removed, visitors may continue seeing ₹1,499.

A cache invalidation process can remove the old cached entry:

product:501 → INVALID

The next request then retrieves the latest value from the database:

product:501 → ₹1,199

The new information can then be stored in the cache again.

Redis describes cache invalidation as removing cached data when that information is no longer valid or useful so that cached content remains consistent with the source data.

What Is a Cache?

Before understanding invalidation, it is useful to understand caching itself.

A cache is a temporary storage layer containing copies of frequently requested information.

Instead of repeatedly requesting the original source, a system checks whether the requested information is already available in the cache.

A simplified flow looks like this:

User Request
     ↓
Check Cache
     ↓
Cache Hit? ─── Yes ──→ Return Cached Data
     │
     No
     ↓
Fetch From Database/Server
     ↓
Store in Cache
     ↓
Return Data

According to MDN, HTTP caching allows previously stored responses to be reused for later requests, reducing the need to contact or process requests at the origin server repeatedly.

Caching can exist at several levels.

Cache Type	Example
Browser Cache	CSS, JS, images and fonts
CDN Cache	Static assets and HTML
Reverse Proxy Cache	NGINX or Varnish
Application Cache	Frequently requested application data
Object Cache	Redis or Memcached
Database Cache	Repeated database query results
API Cache	Frequently requested API responses
Service Worker Cache	PWA resources
DNS Cache	Domain resolution data

Each cache layer may require a different invalidation strategy.

Cache Invalidation vs Cache Expiration vs Cache Eviction

These three terms are often used incorrectly.

Understanding the difference is extremely important.

Concept	Meaning	Example
Cache Invalidation	Data is declared outdated because its source changed	Product price updated
Cache Expiration	Data automatically becomes stale after a predefined time	Cache expires after 10 minutes
Cache Eviction	Data is removed to free limited cache space	Least-used entry removed
Cache Revalidation	Cache checks whether existing content is still current	ETag returns 304
Cache Purging	Cached content is explicitly deleted	CDN URL manually purged

Example:

Suppose a blog page has a cache lifetime of one hour.

If nothing changes, the cached page may remain valid for the full hour.

But if the author updates the article after only five minutes, you may not want visitors to see the old article for another 55 minutes.

An explicit invalidation can remove the cached version immediately.

That is the difference between waiting for expiration and actively invalidating outdated information.

Why Is Cache Invalidation Important?

Caching improves performance only when the cached information is trustworthy.

Serving outdated content can sometimes be worse than having no cache at all.

1. Keeps Information Fresh

The most basic objective of cache invalidation is ensuring that users receive updated information.

This is especially important for:

• Product prices
• Stock availability
• Account information
• News websites
• Financial dashboards
• Booking systems
• API data
• Login permissions
• Website settings

2. Prevents Data Inconsistency

Modern applications often contain several copies of the same information.

For example:

Database
   ↓
Application Cache
   ↓
Reverse Proxy
   ↓
CDN
   ↓
Browser

The database may contain the latest information while one or more caching layers contain older information.

Invalidation helps keep these copies reasonably synchronised.

3. Protects User Experience

Imagine placing an order because an eCommerce website says:

In Stock – ₹499

After checkout, the customer discovers that the product actually costs ₹599 or is unavailable.

Such inconsistencies create frustration and reduce trust.

Proper invalidation decreases this risk.

4. Improves Application Reliability

Applications may make decisions based on cached information.

If outdated permissions, inventory numbers, configuration values, or account states remain cached, application behaviour can become incorrect.

5. Allows Longer Cache Durations

Without a reliable invalidation mechanism, developers often use extremely short TTL values because they are afraid of stale data.

With proper invalidation, some resources can safely remain cached for longer periods and only be cleared when required.

This can improve performance without sacrificing freshness.

History and Background of Cache Invalidation

Caching has existed since the early development of computer systems.

Processors used high-speed memory caches because accessing main memory was comparatively expensive. Operating systems cached disk information, database systems cached frequently requested data, and web browsers later began caching web resources.

As websites became larger, several additional caching layers appeared:

• Browser caching
• Proxy caching
• Reverse proxy caching
• Content Delivery Networks
• Database query caching
• Distributed object caching
• Microservice caching
• Edge computing

Caching became more powerful, but it also created a bigger synchronisation problem.

A single piece of information could now exist in many places.

Modern cache invalidation therefore focuses not simply on deleting a cached file but on coordinating data freshness across distributed systems.

HTTP caching standards also support validation mechanisms such as ETag, Last-Modified, If-None-Match, and If-Modified-Since. A stale response can be checked against the origin instead of always downloading the complete resource again.

How Does Cache Invalidation Work?

The exact process depends on the technology, but the basic workflow remains similar.

1. Original Data Is Requested

Suppose a customer visits:

/products/laptop

The application retrieves information from its database.

2. Data Is Stored in Cache

The result may be stored using a cache key:

product:501

Value:

{
  "name": "Laptop Pro",
  "price": 65000,
  "stock": 14
}

Future requests can use this copy.

3. Original Data Changes

An administrator updates the price:

₹65,000 → ₹61,999

Now the database and cache contain different values.

4. Change Triggers Invalidation

The application may execute something similar to:

DELETE CACHE KEY product:501

Or send an invalidation event:

ProductUpdated: 501

5. Old Cached Data Becomes Unusable

The outdated cache entry is:

• Deleted,
• Marked stale,
• Replaced,
• Versioned, or
• Scheduled for revalidation.

6. Next Request Fetches Fresh Data

The next visitor requests the product.

Because the cache entry no longer exists, the application accesses the source database.

7. Cache Is Rebuilt

Fresh information is stored:

product:501 = ₹61,999

Future visitors receive the updated result directly from cache.

Main Cache Invalidation Strategies

There is no single invalidation strategy suitable for every application. Most production systems combine several techniques.

1. Time-Based Invalidation Using TTL

TTL means Time to Live.

Each cached entry receives an expiration period.

Example:

product:501
TTL = 600 seconds

After 600 seconds, the entry becomes stale or expires.

Advantages	Disadvantages
Easy to implement	Freshness depends on TTL length.
Requires little application logic	A 60-minute TTL could allow outdated information to remain visible for almost an hour.
Prevents data from remaining cached forever	TTL therefore works best where temporary staleness is acceptable.
Suitable for information that changes predictably

2. Explicit Cache Purging

Instead of waiting for TTL expiration, an application explicitly deletes cached content when something changes.

Example:

Database updated
       ↓
Delete cache key
       ↓
Next request regenerates cache

For Redis:

DEL product:501

For a CDN, the application might purge:

https://example.com/products/laptop

Cloudflare supports granular cache purging using individual URLs and also supports purge operations based on tags, hostnames, and URL prefixes.

Explicit purging provides better freshness than relying only on TTL.

3. Event-Driven Cache Invalidation

Large applications frequently use events.

Suppose an eCommerce application’s product service updates an item.

It publishes:

ProductUpdated

Other services listen for the event.

Product Service
      ↓
ProductUpdated Event
      ↓
Cache Service
      ↓
Invalidate product:501

Event-driven invalidation is useful in:

• Microservices
• Distributed applications
• SaaS platforms
• Large marketplaces
• Real-time systems

Technologies such as Kafka, RabbitMQ, Redis Pub/Sub, webhooks, and cloud messaging systems may participate in this architecture.

4. Cache Busting Through Versioning

Cache busting creates a new URL whenever a resource changes.

Instead of:

style.css

you may serve:

style.8f25a1.css

When the CSS file changes:

style.f781b2.css

The browser sees a completely different URL and downloads the new file.

This technique is widely used for:

• CSS
• JavaScript
• Fonts
• Images
• Frontend bundles

MDN recommends URL-based cache busting for versioned subresources and notes that versioned assets can safely use long caching periods because their URL changes when their content changes.

AWS CloudFront also recommends versioned filenames for frequently updated assets in many cases because versioning can simplify rollbacks and avoid some limitations associated with invalidation.

5. ETag-Based Revalidation

Sometimes deleting cached content completely is unnecessary.

Instead, the browser can ask:

Has this resource changed?

The server provides an ETag.

Example response:

ETag: "page-v128"

Later, the browser requests:

If-None-Match: "page-v128"

If nothing changed:

304 Not Modified

The browser reuses its cached copy.

If content changed:

200 OK
ETag: "page-v129"

The new resource is downloaded.

This reduces unnecessary data transfer while maintaining freshness.

6. Last-Modified Revalidation

Another HTTP mechanism uses a timestamp.

Server:

Last-Modified: Fri, 11 Sep 2026 07:30:00 GMT

Browser:

If-Modified-Since: Fri, 11 Sep 2026 07:30:00 GMT

The server checks whether the resource has changed.

If not:

304 Not Modified

ETag generally provides more precise content validation, although both mechanisms can be used together.

7. Tag-Based Cache Invalidation

Instead of invalidating individual URLs, cached objects can be organised using tags.

Example:

product:501
category:laptops
brand:example

If every laptop page needs to be cleared, the system invalidates:

category:laptops

This technique is powerful for websites containing thousands or millions of pages.

Tag invalidation is supported by modern CDN platforms. CloudFront documentation, for example, describes invalidating all cached objects associated with a configured cache tag rather than targeting every URL separately.

8. Write-Through Cache Updating

Instead of deleting cached data after database changes, the application updates both locations.

Write Request
   ↓
Update Database
   ↓
Update Cache

Example:

Database:
price = ₹799

Cache:
price = ₹799

This can provide fast access immediately after a write.

However, developers must carefully handle failures where one update succeeds but the other fails.

9. Cache-Aside Invalidation

Cache-aside is one of the most common caching patterns.

The application manages the cache manually.

Read:

Check Cache
↓
Missing?
↓
Read Database
↓
Store Cache

Write:

Update Database
↓
Delete Cached Entry

The next read automatically rebuilds the cache.

This approach is simple and flexible.

Major Features of an Effective Cache Invalidation System

A good invalidation architecture should provide the following characteristics.

• Selective Invalidation: Only related cached items should be removed whenever possible.
• Fast Propagation: Changes should reach all relevant caching layers quickly.
• Automation: Publishing or updating content should automatically initiate required cache operations.
• Dependency Awareness: The system should understand that changing one item may affect several cached pages.
• Observability: Developers should be able to see Cache hits, Cache misses, Purges, TTL values, Revalidation, and invalidation failures.
• Scalability: Invalidation should continue working when the platform grows from hundreds to millions of cached objects.

Benefits of Cache Invalidation

Proper cache invalidation provides several performance and reliability advantages.

• Faster Websites Without Excessive Stale Content: Caching continues providing fast responses while invalidation ensures important changes appear quickly.
• Reduced Database Load: Frequently accessed data remains cached instead of continuously hitting the database.
• Better Server Performance: Fewer requests need complete application processing.
• Improved Scalability: Large traffic volumes can often be handled more efficiently with CDNs and distributed caches.
• Accurate Business Information: Prices, product availability, account states, and configuration data remain closer to their actual source values.
• Better Deployment Process: Versioned assets and deployment-triggered invalidation prevent users from receiving mismatched JavaScript, CSS, or HTML.

Challenges of Cache Invalidation

Cache invalidation sounds simple:

Data changed → delete old cache.

Real systems are usually more complicated.

1. Identifying Every Affected Cache Entry

Changing one product may affect:

• Product page
• Category page
• Search results
• Homepage
• Recommendations
• API response
• Related-product widgets

Deleting only the product page may not be enough.

2. Distributed Cache Layers

A request may travel through:

Browser
→ CDN
→ Reverse Proxy
→ Application Cache
→ Database

Clearing one layer does not automatically clear every other layer.

3. Race Conditions

Consider this situation:

1. Cache entry expires.
2. Request A starts rebuilding it.
3. Database is updated.
4. Invalidation occurs.
5. Request A finishes using older data.
6. Old data enters cache again.

This is a race condition.

Distributed systems may require version numbers, locks, event ordering, or timestamps to prevent such problems.

4. Cache Stampede

Suppose a popular homepage cache expires.

Suddenly 10,000 requests reach the origin server simultaneously. All of them attempt to regenerate the same information.

This is known as a cache stampede or thundering-herd problem.

Possible solutions include:

• Request coalescing
• Distributed locking
• Stale-while-revalidate
• TTL jitter
• Background refreshes

5. Too Many Purges

Purging an entire cache whenever one article changes may be simple, but it can create unnecessary origin traffic.

Cloudflare specifically warns that clearing an entire CDN cache can cause many subsequent requests to return to the origin and recommends targeted single-file purging where appropriate.

10+ Popular Tools and Technologies for Cache Invalidation

Several technologies provide invalidation functionality.

Tool/Platform	Typical Use
Redis	Application and object cache
Memcached	In-memory data caching
Cloudflare	CDN and edge caching
AWS CloudFront	CDN caching
Varnish	Reverse proxy caching
NGINX	Proxy/FastCGI caching
Browser HTTP Cache	Client-side resources
Service Workers	PWA caching
WordPress Cache Plugins	CMS page caching
Application Frameworks	Data/object caching

1. Redis

Redis is widely used as an application cache.

A common pattern is:

GET product:123

After updating the database:

DEL product:123

Redis client-side caching can also track accessed keys and send invalidation messages to clients when tracked data changes.

2. Cloudflare

Cloudflare provides several purge options, including:

• URL
• Prefix
• Hostname
• Cache tag
• Entire cache

For most ordinary changes, targeted invalidation is preferable to clearing everything.

3. AWS CloudFront

CloudFront supports invalidation by paths and allows wildcard invalidation for suitable path patterns.

For example:

/images/*

can invalidate content within a path. CloudFront documents specific rules around wildcard placement and invalidation paths.

4. Varnish

Varnish supports methods such as:

• PURGE
• BAN
• Tag/yKey-style invalidation

A purge can immediately discard matching cached content, while bans provide expression-based invalidation for broader groups of objects.

Practical Cache Invalidation Examples

Let’s understand cache invalidation with some practical real-world examples.

1. eCommerce Product Price

Old price:

₹2,999

Updated database price:

₹2,499

Recommended process:

Update database
↓
Invalidate product cache
↓
Invalidate affected category/search cache
↓
New request retrieves ₹2,499
↓
Fresh result cached

2. Updating a Blog Article

An editor updates:

• Article title
• Content
• Featured image
• Meta description

Affected cache might include:

/article-url/
/
/category/technology/
/author/rahman/
/sitemap.xml

A smart system invalidates only relevant pages instead of the entire website.

3. Deploying New CSS

Old:

app.css

Better deployment:

app.a82f91.css

New deployment:

app.f9083c.css

No traditional purge is required for the old browser cache because the browser requests a completely new URL.

4. User Permission Changes

Suppose:

User Role = Editor

The administrator changes it to:

User Role = Viewer

If permissions are cached for an hour, the user could temporarily retain access they should no longer have.

Security-sensitive information should therefore use carefully designed invalidation rather than depending only on long TTL values.

5. API Response

API:

GET /api/products/50

Cached response:

{
  "id": 50,
  "stock": 30
}

After an order:

stock = 29

The application can invalidate:

api:product:50

The next API call retrieves the updated quantity.

How to Implement Cache Invalidation Properly

A reliable strategy usually begins with the data itself rather than the cache technology.

1. Identify What You Are Caching

Prepare a list.

Example:

Resource	Cache Layer
CSS	Browser + CDN
Blog pages	CDN + page cache
Products	Redis
API response	API cache
Database queries	Application cache

2. Identify the Source of Truth

Every cached object should have an authoritative source.

Examples:

Product → Database
Article → CMS database
CSS → Deployment files
Account → User database
API data → Backend service

3. Decide How Fresh It Must Be

Not all information requires the same freshness.

Data	Suggested Approach
Static logo	Long TTL + versioning
CSS/JS	Hashed filenames
Blog content	Purge on publish/update
Product stock	Event-based invalidation
Product price	Immediate invalidation
Analytics report	Short TTL may be enough
User permissions	Immediate/security-aware invalidation

4. Create Clear Cache Keys

Avoid confusing cache names.

Bad:

cache_4829

Better:

product:501
category:laptops
user:829:permissions
article:192

Clear keys simplify invalidation and debugging.

5. Trigger Invalidation After Successful Writes

A simple pattern is:

UPDATE database
IF successful:
    DELETE related cache

Do not remove the valid cache before knowing whether the database update succeeded unless your architecture intentionally requires that behaviour.

6. Handle Dependent Pages

Maintain relationships.

For example:

Product 501
├── product:501
├── category:laptops
├── brand:abc
├── homepage:featured
└── search:laptops

Changing Product 501 may invalidate several entries.

7. Add Safe TTL Values

Explicit invalidation can occasionally fail.

TTL provides a useful safety mechanism.

For example:

Invalidate on update
+
Maximum TTL = 30 minutes

Even if invalidation fails, stale data will not remain forever.

8. Monitor Results

Track:

Cache Hit Ratio
Cache Miss Ratio
Invalidation Count
Invalidation Errors
Origin Requests
Response Time
Cache Rebuild Time

Monitoring helps determine whether the cache strategy is improving performance or simply creating complexity.

Useful HTTP Cache Headers

Developers working with website caching should understand several important headers.

1. Cache-Control

Example:

Cache-Control: public, max-age=3600

The response can remain fresh for one hour.

2. no-cache

A commonly misunderstood directive is:

Cache-Control: no-cache

It does not necessarily mean “do not store this response.”

Instead, it generally requires the cached response to be validated before reuse.

MDN recommends combining no-cache with validators such as ETag and Last-Modified when a resource may be stored but should be checked for freshness before reuse.

3. no-store

Cache-Control: no-store

This instructs caches not to store the response.

It is appropriate for situations where storing information is undesirable.

4. immutable

Hashed assets can use:

Cache-Control: public, max-age=31536000, immutable

Because a new filename is produced whenever the resource changes.

Common Cache Invalidation Mistakes

Here are some common cache invalidation mistakes that developers and website owners should avoid.

1. Clearing the Entire Cache Every Time

This is easy but inefficient.

It destroys useful cached information unrelated to the change.

Prefer targeted invalidation wherever practical.

2. Depending Only on Very Short TTLs

A 10-second TTL may hide invalidation problems but produce unnecessary server and database traffic.

Build proper invalidation for information that must change immediately.

3. Using Very Long TTLs Without Versioning

Static assets cached for one year should generally use versioned URLs.

Otherwise, users may continue loading outdated files.

4. Forgetting Related Pages

Updating a blog article but clearing only the article page may leave category pages or homepage cards outdated.

5. Confusing no-cache With no-store

These directives solve different problems.

Incorrect headers can create unnecessary performance issues.

6. Ignoring Browser Cache

Clearing Redis or your CDN does not necessarily remove copies already stored in visitors’ browsers.

Hashed asset filenames are useful for this reason.

7. Ignoring Failure Conditions

Ask:

What happens if the database update succeeds but cache invalidation fails?

Production applications need retry strategies, TTL fallbacks, queues, or reconciliation mechanisms.

8. Caching Highly Dynamic Information Aggressively

Not everything needs caching.

Caching very small but constantly changing datasets may introduce more complexity than performance benefit.

Expert Tips for Better Cache Invalidation

Follow these expert tips to make cache invalidation faster, safer, and more reliable.

1. Design Invalidation Before Adding Cache

Do not first build caching and later ask how to clear it.

Every cached resource should have an invalidation plan.

2. Combine TTL With Active Invalidation

A strong strategy often uses:

Event invalidation + TTL fallback

3. Prefer Versioning for Static Assets

CSS, JavaScript and compiled frontend files work extremely well with content hashes.

4. Use Cache Tags for Related Content

Tags are especially useful for:

• Categories
• Brands
• Authors
• Products
• Tenants
• Languages

5. Keep Cache Keys Predictable

Developers should be able to determine which key represents a resource.

6. Measure Cache Hit Ratio

Caching that rarely produces hits may not be worth maintaining.

7. Avoid Over-Invalidation

Removing 100,000 entries because one small object changed can increase infrastructure load unnecessarily.

8. Test Cache Behaviour During Deployment

Test both:

Cold cache

and:

Warm cache

because some problems appear only after old objects are already cached.

Cache Invalidation and SEO

Cache management can also indirectly affect SEO.

Suppose you update:

• Page title
• Meta description
• Canonical tag
• Structured data
• Internal links
• Content
• Robots instructions

but a CDN continues serving an older HTML version.

Visitors and search-engine crawlers may temporarily receive outdated HTML.

Therefore, publishing workflows should ensure important HTML cache layers are invalidated when SEO-critical content changes.

Special attention should be given to:

HTML pages
XML sitemaps
robots.txt
structured data
canonical tags
redirect rules

Do not automatically purge an entire website for every SEO edit. Instead, identify which cached resources are actually affected.

Real-World Applications of Cache Invalidation

Cache invalidation is used throughout modern technology.

1. eCommerce

Used for:

• Prices
• Offers
• Inventory
• Product information
• Categories

2. News Websites

Breaking news articles may require immediate cache clearing.

3. SaaS Applications

Dashboards, settings, permissions and account information may be cached.

4. Social Networks

Cached:

• Profiles
• Posts
• Counters
• Feeds
• User relationships

may require frequent invalidation.

5. Banking and FinTech

Freshness requirements can be extremely strict for account and transaction-related information.

6. Streaming Platforms

Cached metadata may include:

• Titles
• Thumbnails
• Recommendations
• Availability

7. APIs

API gateways commonly cache frequently requested responses to decrease latency and backend workload.

Cache Invalidation Architecture Example

Consider a modern eCommerce application:

When a product changes:

A larger implementation might additionally invalidate:

Product Page
Category Page
Homepage Component
Search Results
API Cache
Recommendations

This demonstrates why invalidation becomes more difficult as applications become more interconnected.

How to Test Cache Invalidation

Testing should be part of development and deployment.

1. Update Content

Change a known value.

Example:

Product price: ₹500 → ₹450

2. Check Origin Data

Confirm the database contains:

₹450

3. Request the Cached Page

Check whether the website still shows:

₹500

or correctly displays:

₹450

4. Inspect Headers

Useful headers may include:

Cache-Control
Age
ETag
Last-Modified
CF-Cache-Status
X-Cache

5. Repeat the Request

The first request after invalidation may be a cache miss.

Later requests should become hits again.

A healthy sequence might look like:

MISS
HIT
HIT
HIT

FAQs:)

Conclusion:)

We hope this article has helped you understand what cache invalidation is, how it works, why it is important, and how different cache invalidation strategies are used in modern websites and applications.

Cache invalidation helps ensure that outdated cached data is removed, updated, expired, or revalidated whenever the original information changes. This allows websites and applications to continue benefiting from faster loading times and reduced server load without repeatedly showing old or incorrect information to users.

However, managing cache invalidation properly requires more than simply clearing the entire cache. Developers should carefully consider cache keys, TTL values, dependencies, browser caching, CDN caching, API responses, object caches, event-driven updates, and the relationship between different cached resources.

A well-designed cache invalidation strategy can improve website performance, reduce database load, support scalability, maintain data freshness, and provide a more reliable user experience.

“Effective cache invalidation creates the right balance between fast performance and fresh, accurate data.” — Oflox®

As websites, SaaS platforms, APIs, cloud applications, and distributed systems continue to grow, cache invalidation will remain an important part of modern web and software development.

Read also:)

• What Is Backend for Frontend (BFF)? A Complete Guide!
• What Is Web Server Log? A Complete Guide for Beginners!
• What Is Code Splitting? Complete Guide with Examples!

If you are implementing caching in your website or application, always plan how the cached data will be refreshed or invalidated when the original information changes.