Shadowing Practice: Cache Systems Every Developer Should Know - Learn English Speaking with Video
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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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If you like our videos, you might like our system design newsletter as well.
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It covers topics and trends in large -scale system design.
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Vocabulario y notas de pronunciación para esta lección
Esta lección de conversación se basa en el vídeo “Cache Systems Every Developer Should Know”. Las palabras que más se repiten: cache, caching, memory, content, request. Este vídeo tiene 53 frases y 802 palabras para practicar shadowing. La parte hablada dura 5:37. El hablante mantiene un ritmo constante de unas 143 palabras por minuto, cómodo para el shadowing. Solo el 75 % de las palabras está entre las 3.000 más comunes del inglés, por lo que el vocabulario es exigente.
Vocabulario clave de este vídeo
15 palabras del vídeo que vale la pena aprender, con su pronunciación y significado:
| Palabra | Pronunciación | Significado |
|---|---|---|
| cache sustantivo | /kæʃ/ | memoria caché, caché |
| server sustantivo | /ˈsɝvɚ/ | servidor |
| disk sustantivo | /dɪsk/ | disco |
| database sustantivo | /ˈdeɪtəˌbeɪs/ | base de datos, banco de datos |
| architecture sustantivo | /ˈɑː.kɪˌtɛk.t͡ʃə/ | arquitectura |
| layer sustantivo | /ˈleɪ̯ɚ/ | capa, tongada |
| hardware sustantivo | /ˈhɑɹdˌwɛɹ/ | hardware, soporte físico |
| fetch verbo | /fɛt͡ʃ/ | traer, buscar |
| technique sustantivo | /tɛkˈniːk/ | técnica |
| efficiency sustantivo | /ɪˈfɪʃ.ən.si/ | eficiencia |
| virtual adjetivo | /ˈvɜɹt͡ʃuəl/ | virtual |
| transaction sustantivo | /tɹænˈzækʃən/ | transacción |
| zoom verbo | /zuːm/ | zumbar |
| buffer sustantivo | /ˈbʌfəɹ/ | tampón, solución amortiguadora |
| retrieve verbo | /ɹɪˈtɹiːv/ | recobrar |
Phrasal verbs que vas a escuchar
| Palabra | Pronunciación | Significado |
|---|---|---|
| speed up verbo | /spiːdˈʌp/ | acelerar, apurarse |
| zoom out verbo | /ˌzuːm ˈaʊt/ | alejar el zoom, quitar zoom (el) |
Pronunciación a tener en cuenta
- Los sonidos de “sh” y “zh”: cache /kæʃ/, efficiency /ɪˈfɪʃ.ən.si/, transaction /tɹænˈzækʃən/, efficient /ɪˈfɪʃənt/, translation /tɹænzˈleɪʃən/
- Palabras largas — cuida el acento: architecture /ˈɑː.kɪˌtɛk.t͡ʃə/, efficiency /ɪˈfɪʃ.ən.si/, infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, mechanism /ˈmɛk.ə.nɪ.zəm/, eliminate /ɪˈlɪm.ɪ.neɪt/
Sonidos difíciles para hispanohablantes:
- /v/ — no es /b/: los dientes tocan el labio inferior: server /ˈsɝvɚ/, virtual /ˈvɜɹt͡ʃuəl/, retrieve /ɹɪˈtɹiːv/, involve /ɪnˈvɑlv/, dive /daɪv/
- /z/ — sonora, no /s/: transaction /tɹænˈzækʃən/, browser /ˈbɹaʊ.zəɹ/, zoom /zuːm/, resource /ɹɪˈzɔːs/, translation /tɹænzˈleɪʃən/
- /h/ — una aspiración suave, no la “j”: hardware /ˈhɑɹdˌwɛɹ/, enhance /ɪnˈhæns/, header /ˈhɛdɚ/
Cómo practicar con este vídeo
- Escucha el vídeo entero una vez sin hablar y anota las palabras que no conoces.
- Haz shadowing frase por frase a velocidad normal, repitiendo cada una hasta que tu ritmo coincida con el del hablante.
- Grábate y compara con el original, prestando atención a palabras como cache, server, disk.
¿Qué es la Técnica de Shadowing?
Shadowing es una técnica de aprendizaje de idiomas respaldada por la ciencia, desarrollada originalmente para la formación de intérpretes profesionales y popularizada por el políglota Dr. Alexander Arguelles. El método es simple pero poderoso: escuchas audio en inglés nativo y lo repites en voz alta de inmediato, como una sombra que sigue al hablante con solo 1-2 segundos de retraso. A diferencia de la escucha pasiva o los ejercicios de gramática, el shadowing obliga a tu cerebro y músculos de la boca a procesar y reproducir simultáneamente patrones de habla reales. Las investigaciones muestran que mejora significativamente la precisión de la pronunciación, la entonación, el ritmo, el habla conectada, la comprensión auditiva y la fluidez al hablar, convirtiéndola en una de las metodologías más efectivas para la preparación del IELTS Speaking y la comunicación en inglés en el mundo real.