Pratique du Shadowing: Cache Systems Every Developer Should Know - Apprendre l'anglais à l'oral avec la vidéo
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Caching is a common technique in modern computing to enhance system performance and reduce response time.
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From the front end to the back end, caching plays a crucial role in improving the efficiency of various applications and systems.
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A typical system architecture involves several layers of caching.
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At each layer, there are multiple strategies and mechanisms for caching data, depending on the requirements and the constraints of the specific application.
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Before diving into a typical system architecture, let's zoom in and look at how prevalent caching is within each computer itself.
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Let's first look at the computer hardware.
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The most common hardware caches are L1, L2, and L3 caches.
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L1 cache is the smallest and fastest cache, typically integrated into the CPU itself.
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It stores frequently accessed data and instructions, allowing the CPU to quickly access them without having to fetch them from slower memory.
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L2 cache is larger but slower than L1 cache, and is typically located on the CPU die.
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L3 cache is even larger and slower than L2 cache, and is often shared between multiple CPU cores.
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Another common hardware cache is the Translation Look -Aside Buffer, or TLB.
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It stores recently used virtual to physical address translations.
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It is used by the CPU to quickly translate virtual memory addresses to physical memory addresses, reducing the time needed to access data from memory.
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At the operating system level, there are PageCache and other file system caches.
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PageCache is managed by the operating system and resides in main memory.
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It is used to store recently used disk blocks in memory.
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When a program requests data from the disk, the operating system can quickly retrieve the data from memory instead of reading it from disk.
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There are other caches managed by the operating system such as the iNode cache.
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These caches are used to speed up file system operations by
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reducing the number of disk accesses required to access files and directories.
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Now let's zoom out and look at how caching is used in a typical application system architecture.
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On the application front end, web browsers can cache HTTP responses to enable faster retrieval of data.
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When we request data over HTTP for the first time and it is returned with an expiration policy in the HTTP header.
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We request the same data again, and the browser returns the data from its cache if available.
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Content delivery network, or CDNs, are widely used to improve the delivery of static content,
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such as images, videos, and other web access.
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One of the ways that CDNs speed up content delivery is through caching.
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When a user requests contents from a CDN, the CDN network looks for the requested content in its cache.
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If the content is not already in the cache, the CDN fetches it from the origin server and caches it on its edge servers.
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When another user requests the same content, the CDN can deliver the content directly from its cache,
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eliminating the need to fetch it from the origin server again.
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Some load balancers can cache resources to reduce the load on back -end servers.
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When a user requests content from a server behind a load balancer,
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the load balancer can cache the response and serve it directly to future users who request the same content.
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This can improve response times and reduce the load on back -end servers.
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Caching does not always have to be in memory.
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In messaging infrastructure, message brokers such as Kafka can cache a massive amount of messages on disk.
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This allows consumers to retrieve the messages at their own pace.
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The messages can be cached for a long period of time based on the retention policy.
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Distributed caches such as Redis can store key value pairs in memory, providing high read -write performance compared to traditional databases.
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Full text search engines, such as Elasticsearch, can index data for document search and log search,
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providing quick and efficient access to specific data.
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Even within the database, there are multiple levels of caching available.
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Data is typically written to a write -ahead log before being indexed in a B -tree.
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The buffer pool is a memory area used to cache query results, while materialized views can pre -compute query results for faster performance.
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The transaction log records all transactions and updates to the database, while the replication log tracks the replication state in a database cluster.
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Overall, caching data is an essential technique for optimizing system performance and reducing response time.
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From the front end to the back end, there are many layers of caching to improve the efficiency of various applications and systems.
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Vocabulaire et conseils d’expression pour cette leçon
Cette leçon d’expression orale s’appuie sur la vidéo « Cache Systems Every Developer Should Know ». Les mots qui reviennent le plus souvent : cache, caching, memory, content, request. Cette vidéo contient 53 phrases et 802 mots à répéter en shadowing. La partie parlée dure 5:37. Le locuteur parle à un rythme régulier d’environ 143 mots par minute, confortable pour le shadowing. Seuls 75 % des mots font partie des 3 000 mots les plus courants en anglais, le vocabulaire est donc exigeant.
Vocabulaire clé de cette vidéo
15 mots de la vidéo à retenir, avec leur prononciation et leur sens :
| Mot | Prononciation | Sens |
|---|---|---|
| cache nom | /kæʃ/ | cache, mémoire cache |
| server nom | /ˈsɝvɚ/ | serveur |
| disk nom | /dɪsk/ | disque |
| database nom | /ˈdeɪtəˌbeɪs/ | base de données, banque de données |
| architecture nom | /ˈɑː.kɪˌtɛk.t͡ʃə/ | architecture |
| layer nom | /ˈleɪ̯ɚ/ | couche |
| hardware nom | /ˈhɑɹdˌwɛɹ/ | équipement |
| fetch verbe | /fɛt͡ʃ/ | ramener, rapporter |
| technique nom | /tɛkˈniːk/ | technique |
| efficiency nom | /ɪˈfɪʃ.ən.si/ | rendement |
| virtual adjectif | /ˈvɜɹt͡ʃuəl/ | virtuel |
| buffer nom | /ˈbʌfəɹ/ | solution tampon |
| retrieve verbe | /ɹɪˈtɹiːv/ | récupérer, retrouver |
| query nom | /ˈkwɪɹ.i/ | question |
| topic nom | /ˈtɑpɪk/ | sujet, thème |
Les verbes à particule que vous entendrez
| Mot | Prononciation | Sens |
|---|---|---|
| speed up verbe | /spiːdˈʌp/ | accélérer |
| zoom out verbe | /ˌzuːm ˈaʊt/ | dézoomer |
Prononciation à surveiller
- Les sons « sh » et « zh »: cache /kæʃ/, efficiency /ɪˈfɪʃ.ən.si/, transaction /tɹænˈzækʃən/, efficient /ɪˈfɪʃənt/, translation /tɹænzˈleɪʃən/
- Mots longs — placez bien l’accent: architecture /ˈɑː.kɪˌtɛk.t͡ʃə/, efficiency /ɪˈfɪʃ.ən.si/, infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, mechanism /ˈmɛk.ə.nɪ.zəm/, eliminate /ɪˈlɪm.ɪ.neɪt/
Les sons difficiles pour les francophones :
- /h/ — il se souffle, il n’est pas muet: hardware /ˈhɑɹdˌwɛɹ/, enhance /ɪnˈhæns/, header /ˈhɛdɚ/
- /tʃ/ et /dʒ/ — à ne pas adoucir en « ch » et « j »: architecture /ˈɑː.kɪˌtɛk.t͡ʃə/, fetch /fɛt͡ʃ/, virtual /ˈvɜɹt͡ʃuəl/, infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/
- /r/ anglais — langue recourbée, sans frotter la gorge: hardware /ˈhɑɹdˌwɛɹ/, virtual /ˈvɜɹt͡ʃuəl/, transaction /tɹænˈzækʃən/, browser /ˈbɹaʊ.zəɹ/, buffer /ˈbʌfəɹ/
Comment s’entraîner avec cette vidéo
- Écoutez la vidéo en entier une fois sans parler et notez les mots que vous ne connaissez pas.
- Répétez phrase par phrase à vitesse normale, en reprenant chacune jusqu’à ce que votre rythme corresponde à celui du locuteur.
- Enregistrez-vous et comparez avec l’original, en faisant attention à des mots comme cache, server, disk.
Qu'est-ce que la technique du Shadowing ?
Le Shadowing est une technique d'apprentissage des langues fondée sur la science, développée à l'origine pour la formation des interprètes professionnels. Le principe est simple mais puissant : vous écoutez de l'anglais natif et le répétez immédiatement à voix haute — comme une ombre suivant le locuteur avec un décalage de 1 à 2 secondes. Les recherches montrent une amélioration significative de la précision de la prononciation, de l'intonation, du rythme, des liaisons, de la compréhension orale et de la fluidité.