- You can easily set up, operate, and grow well-known open-source compatible in-memory data storage in the cloud using Amazon ElastiCache.
- By obtaining information from high throughput and low latency in-memory data stores, you may create data-intensive apps or improve the performance of your current databases.
- For real-time use cases like Caching and Session Stores, Amazon ElastiCache is a well-liked option.
- Amazon ElastiCache offers safe, lightning-fast performance by employing an end-to-end optimized stack operating on customer-dedicated nodes.
- ElastiCache keeps an eye on your clusters to keep your workloads running and free up your time to work on higher-value application development.
- Amazon ElastiCache has three scaling options for changing application demand: out, in, and up. Sharding supports write and memory scalability. Read scaling is offered by replicas.
caching hit and miss
- When material from your website is successfully provided from the cache, this is known as a cache hit.
- When the data is located and read, it is regarded as a cache hit since the tags are quickly sought in the memory.
- Another way to characterize a cache hit is chilly, warm, or hot.
- Each of them gives a description of the data reading speed.
- Hot cache memory as quickly as feasible. When the data is retrieved from L1, this occurs.
- Although data is read as slowly as possible in the cold cache, it is still booming and is thus still regarded as a cache hit.
- Just down in the memory structure, at L3 or lower, is where the data may be found.
- Data is discovered in L2 or L3 caches that are warm. Even though it is slower than a hot cache, it is still quicker than a cold cache.
- A cache is typically described as warm to indicate that it is slower than a hot cache and is more comparable to a cold cache.
- When the memory is searched, and the data cannot be located, this is referred to as a cache miss.
- The information is then sent and written into the cache when this occurs.
- An in-memory data storage system is Redis.
- Key-value pairs are used to store data in various forms.
- The remote dictionary server is referred to as Redis.
- We can preserve our data on a disc with a temporal snapshot to facilitate recovery.
- Replicas can be made in large numbers.
- Because transactions are supported, atomicity is ensured.
- It supports Pub/Sub.
- Scripts can be used to carry out transactions.
- There is no multi-threading.
- Redis authentication, TLS, and At-Rest encryption are offered for security.
- When data is loaded slowly, it is only taken from the cache if it is already there or not.
- If a cache miss occurs, the database will be accessed, and the outcome will be saved in the cache.
Through Writing and TTL (Time to Live)
- Because the data in the cache is the most recent, WriteThrough always adds or updates it whenever the database is changed.
- Because every time the database is updated, two operations are carried out: a write on the database and a write on the cache.
- The TTL specifies when a key will stop working.
- A new entry will be made for it and referred to as a cache miss if an expired key is used.
- TTL can be measured in milliseconds or seconds.
- Stale data is prevented through write-through.
- TTL aids in clearing the cache of obsolete info.
- When exceptional performance is necessary, ElasitCache is quite helpful.
- In-memory data storage enables rapid speed.
- Auto Scaling aids in managing the product’s scalability.
- There are no security risks because user-based authentication is offered.
- The service is fully managed.
- Redis and ElastiCache are compatible.
- It is straightforward to use because of its high availability and reliability.
- Scaling ElastiCache is pretty simple.
- Analytics and real-time transactions are simple to perform.
- Text and Video Chat
- a leaderboard for games
- Learning Machines
- Streaming of media
- Analytics in real time
- Session Memory
Businesses Using Redis and ElastiCache
The fundamentals of ElastiCache utilizing Redis have been addressed in this section; the implementation and demonstration will be presented in the following section.