Pratica di Shadowing: Top 5 Redis Use Cases - Impara a parlare inglese con i video
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In this video, we discover the versatility of Redis.
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We'll talk about the top use cases that have been better tested in production at various companies and at various scales.
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Get insights into how Redis solves interesting scalability challenges for us
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and learn why it is a great tool to know well in our system design toolset.
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Let's dive right into it.
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First of all, what is Redis and why do people use it?
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Redis is an in -memory data structure store.
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It is most commonly used as a cache.
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It supports many data structures such as strings, hashes, lists, sets, and sorted sets.
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Redis is known for its speed.
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We made a video to explain why Redis is so fast.
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Look for the link in the description if you would like to watch that video.
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Now let's dive into the top use cases of Redis.
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The number one use case of Redis is caching objects to speed up web applications.
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In this use case, Redis stores frequently requested data in memory.
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It allows the web servers to return frequently accessed data quickly.
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This reduces the load on the database and improves the response time for the application.
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At scale, the cache is distributed among a cluster of Redis servers.
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Sharding is a common technique to distribute and caching load evenly across the cluster.
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Other topics to consider when deploying Redis as a distributed cache include setting a correct TTL
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and handling thundering hurt on cold start.
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Another common use case is to use Redis as a session store to share session data among stateless servers.
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When a user logs into a web application, the session data is stored in Redis,
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along with a unique session ID that is returned to the client as a cookie.
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When a user makes a request to the application, the session ID is included in the request,
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and the stateless web server retrieves the session data from Redis using the ID.
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It is important to note that Redis is an in -memory database.
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The session data stored in Redis will be lost if the Redis server restarts.
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Even though Redis provides persistent options like a snapshot and AOF or append -only file,
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they allow session data to be saved to disk and reloaded into memory in the event of a restart.
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These options often take too long to load to be practical.
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In production, replication is usually used instead.
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In this case, data is replicated to a backup instance.
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In the event of a crash of the main instance, the backup instance is quickly promoted to take over the traffic.
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The next use case is distributed log.
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Distributed logs are used when multiple nodes in an application need to coordinate access to some shared resource.
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Redis is used as a distributed log with its atomic commands like set -nx or set -if -not -exists.
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It allows a caller to set a key only if it does not already exist.
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Here's how it works at a high level.
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Client 1 tries to acquire the log by setting a key with a unique value
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and a timeout using the set -nx command.
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If the key was not already set, the set -nx command returns 1, indicating that the log has been acquired by client 1.
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Client 1 finishes its work and releases the log by deleting the key.
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Now if the key was already set, the set -annex command returns 0, indicating that the log has already been held by another client.
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In this case, client 1 waits and retries the set -annex operation until the log is released by the other client.
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Note that this simple implementation might be good enough for many use cases, but it is not completely fault -tolerant.
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For production use, there are many Redis client libraries that provide high -quality distributed log implementation built right off the box.
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Next up is Ray Limiter.
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Redis can be used as a Ray Limiter by using its increment command on some counters
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and setting expiration times on those counters.
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A very basic
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Ray Limiting algorithm works this way.
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For each incoming request, the request IP or user ID is used as a key.
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The number of requests for the key is incremented using the increment command in Redis.
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The current count is compared to the allowed rate limit.
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If the count is within the rate limit, the request is processed.
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If the count is over the limit, the request is rejected.
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The keys are set to expire after a specific time window, for example, a minute, to reset the cans for the next time window.
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More sophisticated rate limiters, like the leaky bucket algorithm, can also be implemented using Redis.
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The last use case we would like to talk about is gaming leaderboard.
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For most games that are not super high scale, Redis is a delightful way to implement various types of gaming leaderboards.
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Sort of sets are the fundamental data structure that enables this.
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A sort of set is a collection of unique elements, each with a score associated with it.
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The elements are sorted by score.
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This allows for quick retrieval of the elements by score in logarithmic time.
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That's it for our top Redis use cases.
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Redis is very versatile.
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There are many different ways to use it.
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Some features are more better tested than others.
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Our creativity is the limit.
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Use it with care and have fun with it.
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You would like our videos.
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You may like our weekly system design newsletter as well.
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It covers topics and trends in large -scale system design, trusted by 200 ,000 readers.
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Vocabolario e note di pronuncia per questa lezione
Questa lezione di conversazione si basa sul video “Top 5 Redis Use Cases”. Le parole che ritornano più spesso: Redis, log, client, session, key. Questo video contiene 75 frasi e 937 parole da ripetere con lo shadowing. Il parlato dura 6:16. Chi parla mantiene un ritmo costante di circa 149 parole al minuto, comodo per lo shadowing. Solo il 77% delle parole rientra nelle 3.000 più comuni dell’inglese, quindi il lessico è impegnativo.
Vocaboli chiave di questo video
15 parole del video che vale la pena imparare, con pronuncia e significato:
| Parola | Pronuncia | Significato |
|---|---|---|
| distribute verbo | /dɪˈstɹɪbjuːt/ | distribuire |
| server sostantivo | /ˈsɝvɚ/ | server |
| cache sostantivo | /kæʃ/ | nascondiglio, ripostiglio |
| element sostantivo | /ˈɛləmənt/ | elemento |
| topic sostantivo | /ˈtɑpɪk/ | tema, categoria |
| log sostantivo | /lɔɡ/ | tronco |
| indicate verbo | /ˈɪndɪˌkeɪt/ | indicare |
| database sostantivo | /ˈdeɪtəˌbeɪs/ | database, base di dati |
| implementation sostantivo | /ˌɪmplɪmənˈteɪʃən/ | implementazione, attuazione |
| backup sostantivo | /ˈbækˌʌp/ | riserva, sostituto |
| implement verbo | /ˈɪmpləmənt/ | mettere in pratica, attuare |
| acquire verbo | /əˈkwaɪɚ/ | acquisire |
| dive verbo | /daɪv/ | immergersi |
| algorithm sostantivo | /ˈælɡəɹɪðm̩/ | algoritmo |
| cluster sostantivo | /ˈklʌstɚ/ | gruppo |
I phrasal verb che sentirai
| Parola | Pronuncia | Significato |
|---|---|---|
| speed up verbo | /spiːdˈʌp/ | stringere i tempi |
| take over verbo | usurpare |
La grammatica di questo video
Le strutture che chi parla usa di più, con le parole esatte del video:
| Struttura | Nel video |
|---|---|
| Forma passiva be + participio passato — conta ciò che accade, non chi lo fa | is known · is distributed · is stored |
| Present perfect have/has + participio passato — un’azione passata che conta ancora adesso | have been · has been acquired · has already been held |
Pronuncia a cui fare attenzione
- I suoni “th”: algorithm /ˈælɡəɹɪðm̩/, thunder /ˈθʌndɚ/, logarithmic /ˌlɒɡəˈɹɪðmɪk/
- I suoni “sh” e “zh”: cache /kæʃ/, implementation /ˌɪmplɪmənˈteɪʃən/, associate /əˈsoʊʃi.ət/, hash /ˈhæʃ/, expiration /ˌɛk.spɚˈeɪ̯.ʃən/
- Parole lunghe — attenzione all’accento: implementation /ˌɪmplɪmənˈteɪʃən/, associate /əˈsoʊʃi.ət/, fundamental /ˌfʌn.dəˈmɛn.təl/, creativity /kri.eɪˈtɪv.ᵻ.ti/, coordinate /koʊˈɔɹ.dəˌneɪt/
I suoni difficili per chi parla italiano:
- Consonante finale — senza aggiungere una vocale dopo: distribute /dɪˈstɹɪbjuːt/, cache /kæʃ/, element /ˈɛləmənt/, topic /ˈtɑpɪk/, log /lɔɡ/
- /æ/ — più aperta della “e”: cache /kæʃ/, backup /ˈbækˌʌp/, algorithm /ˈælɡəɹɪðm̩/, practical /ˈpɹæk.tɪ.kəl/, hash /ˈhæʃ/
- /ŋ/ finale — senza pronunciare la /g/: string /stɹɪŋ/, incoming /ˈɪnˌkʌmɪŋ/
Come esercitarsi con questo video
- Ascolta tutto il video una volta senza parlare e annota le parole che non conosci.
- Fai shadowing frase per frase a velocità normale, ripetendo ognuna finché il tuo ritmo coincide con quello di chi parla.
- Registrati e confronta con l’originale, facendo attenzione a parole come distribute, server, cache.
Cos'è la tecnica dello Shadowing?
Shadowing è una tecnica di apprendimento delle lingue supportata da studi scientifici, originariamente sviluppata per la formazione dei traduttori professionisti e resa popolare dal poliglotta Dr. Alexander Arguelles. Il metodo è semplice ma potente: ascolti un audio in inglese di madrelingua e lo ripeti immediatamente ad alta voce — come un'ombra che segue il parlante con un ritardo di solo 1–2 secondi. A differenza dell'ascolto passivo o degli esercizi di grammatica, lo shadowing costringe il tuo cervello e i muscoli della bocca a elaborare e riprodurre simultaneamente i modelli di discorso reale. La ricerca dimostra che migliora significativamente la precisione della pronuncia, l'intonazione, il ritmo, il discorso connesso, la comprensione dell'ascolto e la fluidità del parlato — rendendolo uno dei metodi più efficaci per la preparazione alla prova di speaking dell'IELTS e per la comunicazione reale in inglese.