Pratica di Shadowing: Cache Systems Every Developer Should Know - Impara a parlare inglese con i video
Scegli una modalità di pratica
Ogni modalità apre una sala di pratica a schermo intero.
53 frasi
Se le frasi sono troppo corte o troppo lunghe, clicca su Edit per modificarle.
1
Caching is a common technique in modern computing to enhance system performance and reduce response time.
2
From the front end to the back end, caching plays a crucial role in improving the efficiency of various applications and systems.
3
A typical system architecture involves several layers of caching.
4
At each layer, there are multiple strategies and mechanisms for caching data, depending on the requirements and the constraints of the specific application.
5
Before diving into a typical system architecture, let's zoom in and look at how prevalent caching is within each computer itself.
6
Let's first look at the computer hardware.
7
The most common hardware caches are L1, L2, and L3 caches.
8
L1 cache is the smallest and fastest cache, typically integrated into the CPU itself.
9
It stores frequently accessed data and instructions, allowing the CPU to quickly access them without having to fetch them from slower memory.
10
L2 cache is larger but slower than L1 cache, and is typically located on the CPU die.
11
L3 cache is even larger and slower than L2 cache, and is often shared between multiple CPU cores.
12
Another common hardware cache is the Translation Look -Aside Buffer, or TLB.
13
It stores recently used virtual to physical address translations.
14
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.
15
At the operating system level, there are PageCache and other file system caches.
16
PageCache is managed by the operating system and resides in main memory.
17
It is used to store recently used disk blocks in memory.
18
When a program requests data from the disk, the operating system can quickly retrieve the data from memory instead of reading it from disk.
19
There are other caches managed by the operating system such as the iNode cache.
20
These caches are used to speed up file system operations by
21
reducing the number of disk accesses required to access files and directories.
22
Now let's zoom out and look at how caching is used in a typical application system architecture.
23
On the application front end, web browsers can cache HTTP responses to enable faster retrieval of data.
24
When we request data over HTTP for the first time and it is returned with an expiration policy in the HTTP header.
25
We request the same data again, and the browser returns the data from its cache if available.
26
Content delivery network, or CDNs, are widely used to improve the delivery of static content,
27
such as images, videos, and other web access.
28
One of the ways that CDNs speed up content delivery is through caching.
29
When a user requests contents from a CDN, the CDN network looks for the requested content in its cache.
30
If the content is not already in the cache, the CDN fetches it from the origin server and caches it on its edge servers.
31
When another user requests the same content, the CDN can deliver the content directly from its cache,
32
eliminating the need to fetch it from the origin server again.
33
Some load balancers can cache resources to reduce the load on back -end servers.
34
When a user requests content from a server behind a load balancer,
35
the load balancer can cache the response and serve it directly to future users who request the same content.
36
This can improve response times and reduce the load on back -end servers.
37
Caching does not always have to be in memory.
38
In messaging infrastructure, message brokers such as Kafka can cache a massive amount of messages on disk.
39
This allows consumers to retrieve the messages at their own pace.
40
The messages can be cached for a long period of time based on the retention policy.
41
Distributed caches such as Redis can store key value pairs in memory, providing high read -write performance compared to traditional databases.
42
Full text search engines, such as Elasticsearch, can index data for document search and log search,
43
providing quick and efficient access to specific data.
44
Even within the database, there are multiple levels of caching available.
45
Data is typically written to a write -ahead log before being indexed in a B -tree.
46
The buffer pool is a memory area used to cache query results, while materialized views can pre -compute query results for faster performance.
47
The transaction log records all transactions and updates to the database, while the replication log tracks the replication state in a database cluster.
48
Overall, caching data is an essential technique for optimizing system performance and reducing response time.
49
From the front end to the back end, there are many layers of caching to improve the efficiency of various applications and systems.
50
If you like our videos, you might like our system design newsletter as well.
51
It covers topics and trends in large -scale system design.
52
Trusted by 300 ,000 readers.
53
Subscribe at blog .bitebygo .com
Scarica l'app
Tutto ciò che serve per parlare fluentemente
Pronuncia con IAVoto per ogni frase
Pratica IPAPadroneggia ogni suono
VocabolarioCostruisci il tuo lessico
Gioco di vocabolarioImpara giocando
Stesso Canale
C11
The Secret Sauce Behind NoSQL: LSM Tree
Daily ConversationUniversity StudentsWorking Adults
C13
Proxy vs Reverse Proxy (Real-world Examples)
Daily ConversationUniversity StudentsWorking Adults
C12
Top 5 Redis Use Cases
Daily ConversationUniversity Students
C13
System Design Was HARD - Until You Knew the Trade-Offs
Daily ConversationUniversity StudentsWorking Adults
C17
8 Most Important System Design Concepts You Should Know
Daily ConversationUniversity StudentsWorking Adults
C13
Everything You Need to Know About DNS: Crash Course System Design #4
Daily ConversationUniversity StudentsWorking Adults
C12
CAP Theorem Simplified
Daily ConversationUniversity StudentsWorking Adults
C12
What Is REST API? Examples And How To Use It: Crash Course System Design #3
Daily ConversationUniversity StudentsWorking Adults
C12
System Design: Why is Kafka Popular?
Business EnglishUniversity StudentsWorking Adults
C11
System Design: Why is Kafka fast?
Business EnglishUniversity StudentsWorking Adults
C16
What Are Microservices Really All About? (And When Not To Use It)
Business EnglishUniversity StudentsWorking Adults
C150
Kubernetes Explained in 6 Minutes | k8s Architecture
Business EnglishUniversity StudentsWorking Adults
C14
What is API Gateway?
Business EnglishUniversity StudentsWorking Adults
C12
10+ Key Memory & Storage Systems: Crash Course System Design #5
University StudentsWorking Adults
C24
What Is Redis Really About? Why Is It So Popular?
Business EnglishUniversity StudentsWorking Adults
C13
How Does a URL Shortener Work?
Business EnglishInterview EnglishUniversity Students
B2How Git Works: Explained in 4 Minutes
Business EnglishUniversity StudentsWorking Adults
FOR YOU
Video consigliato
C12
283 frasi
Why Memory Prices Are Crazy High
Daily ConversationUniversity StudentsWorking Adults
C11
40 frasi
The Engineering that Runs the Digital World 🛠️⚙️💻 How do CPUs Work?
Daily ConversationUniversity StudentsWorking Adults
C11
27 frasi
You are wasting memory
Daily ConversationUniversity StudentsWorking Adults
C12
102 frasi
What is Docker? Docker container concept explained || Docker Tutorial 1
Daily ConversationUniversity StudentsWorking Adults
C11
180 frasi
Armchair Architects: Resiliency in the Cloud – Core Patterns
Daily ConversationUniversity StudentsWorking Adults
C132 frasi
Linus Torvalds Explains What Makes Linux So Fast
Daily ConversationUniversity StudentsWorking Adults
C115
29 frasi
Amazon Athena explained in 120 seconds💡
Daily ConversationUniversity StudentsWorking Adults
C11
74 frasi
LangChain in 5 Minutes (Explained Clearly)
Daily ConversationUniversity StudentsWorking Adults
C13
68 frasi
what is a database index?
Daily ConversationUniversity StudentsWorking Adults
C11
275 frasi
Every Networking Concept Explained In 20 Minutes
Daily ConversationUniversity StudentsWorking Adults
Vocabolario e note di pronuncia per questa lezione
Questa lezione di conversazione si basa sul video “Cache Systems Every Developer Should Know”. Le parole che ritornano più spesso: cache, caching, memory, content, request. Questo video contiene 53 frasi e 802 parole da ripetere con lo shadowing. Il parlato dura 5:37. Chi parla mantiene un ritmo costante di circa 143 parole al minuto, comodo per lo shadowing. Solo il 75% 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 |
|---|---|---|
| cache sostantivo | /kæʃ/ | nascondiglio, ripostiglio |
| server sostantivo | /ˈsɝvɚ/ | server |
| disk sostantivo | /dɪsk/ | disco |
| database sostantivo | /ˈdeɪtəˌbeɪs/ | database, base di dati |
| architecture sostantivo | /ˈɑː.kɪˌtɛk.t͡ʃə/ | architettura |
| layer sostantivo | /ˈleɪ̯ɚ/ | strato |
| hardware sostantivo | /ˈhɑɹdˌwɛɹ/ | ferramenta |
| fetch verbo | /fɛt͡ʃ/ | riportare, recuperare |
| technique sostantivo | /tɛkˈniːk/ | tecnica |
| efficiency sostantivo | /ɪˈfɪʃ.ən.si/ | efficienza |
| virtual aggettivo | /ˈvɜɹt͡ʃuəl/ | virtuale |
| buffer sostantivo | /ˈbʌfəɹ/ | soluzione tampone |
| retrieve verbo | /ɹɪˈtɹiːv/ | recuperare, riguadagnare |
| query sostantivo | /ˈkwɪɹ.i/ | interrogativo, domanda |
| topic sostantivo | /ˈtɑpɪk/ | tema, categoria |
I phrasal verb che sentirai
| Parola | Pronuncia | Significato |
|---|---|---|
| speed up verbo | /spiːdˈʌp/ | stringere i tempi |
Pronuncia a cui fare attenzione
- I suoni “sh” e “zh”: cache /kæʃ/, efficiency /ɪˈfɪʃ.ən.si/, transaction /tɹænˈzækʃən/, efficient /ɪˈfɪʃənt/, translation /tɹænzˈleɪʃən/
- Parole lunghe — attenzione all’accento: architecture /ˈɑː.kɪˌtɛk.t͡ʃə/, efficiency /ɪˈfɪʃ.ən.si/, infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, mechanism /ˈmɛk.ə.nɪ.zəm/, eliminate /ɪˈlɪm.ɪ.neɪt/
I suoni difficili per chi parla italiano:
- /h/ — va soffiata, non è muta: hardware /ˈhɑɹdˌwɛɹ/, enhance /ɪnˈhæns/, header /ˈhɛdɚ/
- Consonante finale — senza aggiungere una vocale dopo: cache /kæʃ/, disk /dɪsk/, database /ˈdeɪtəˌbeɪs/, fetch /fɛt͡ʃ/, technique /tɛkˈniːk/
- /æ/ — più aperta della “e”: cache /kæʃ/, transaction /tɹænˈzækʃən/, translation /tɹænzˈleɪʃən/, static /ˈstæt.ɪk/, enhance /ɪnˈhæns/
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 cache, server, disk.
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.