SlideShare ist ein Scribd-Unternehmen logo
1 von 56
Caching  Strategies Michal Špaček, Skype;  WebExpo 2011 , Prague @spazef0rze, www.michalspacek.cz
What the...  Cache ? HDD cache, CPU cache, DNS cache, web cache, geocache
What the...  Cache ? HDD cache, CPU cache, DNS cache,  web cache , geocache
CLIENT (BROWSER) WEB SERVER DATABASE SERVER
HTTP level caching
Client local disk/memory cache CLIENT (BROWSER) WEB SERVER
Response headers: Expires Last-Modified ETag Cache-Control Pragma CLIENT (BROWSER) WEB SERVER
Expires:  HTTP-date Expires: Sat, 24 Sep 2011 12:00:00 GMT <  Expires CLIENT (BROWSER)
Expires:  HTTP-date Expires: Sat, 24 Sep 2011 12:00:00 GMT >  Expires CLIENT (BROWSER) WEB SERVER
Last-Modified:  HTTP-date Following request: If-Modified-Since:  HTTP-date
Last-Modified:  HTTP-date Following request: If-Modified-Since:  HTTP-date Response: Entity modified:  HTTP 200 OK Not modified:  HTTP 304 Not Modified
Last-Modified:  HTTP-date Saves bandwidth!
ETag:  quoted-string Following request: If-None-Match:  quoted-string
ETag:  quoted-string Following request: If-None-Match:  quoted-string Response: No match :  HTTP 200 OK A match:  HTTP 304 Not Modified
Saves bandwidth, too! ETag:  quoted-string
If-Modified-Since If-Unmodified-Since If-None-Match If-Match
ETag  ×  Last-Modified hash (GUID)  ×  HTTP-date (seconds)
ETag  ×  Last-Modified hash (GUID)  ×  HTTP-date (seconds) weak+strong validation  ×  strong
ETag  ×  Last-Modified hash (GUID)  ×  HTTP-date (seconds) weak+strong validation  ×  strong needs content  ×  needs date
Request+Response header Cache-Control:  whatever
Request+Response header whatever =  max-age ,  no-cache ,  public ,  must-revalidate  (response only),  ... Cache-Control:  whatever
Pragma:  no-cache Request+Response header
Pragma:  no-cache Request+Response header Request: HTTP 1.0 variant of Cache-Control: no-cache
Pragma:  no-cache Request+Response header Request: HTTP 1.0 variant of Cache-Control: no-cache Response: meaning undefined, wtf
Proxy cache CLIENT (BROWSER) WEB SERVER
Proxy cache CLIENT (BROWSER) WEB SERVER
Application level caching
Configuration Does not change often
Configuration Does not change often Parse (files)/read (from db) and store to  APC
APC:  The Alternative PHP Cache PHP extension Data store (also opcode cache)
APC:  The Alternative PHP Cache Data persist between requests
APC:  The Alternative PHP Cache Data persist between requests … until deleted or cache cleared or server restarted
Database connection cache Persistent connections (don't work) Connection pooler
Database query cache Some systems have query cache
Database query cache Some systems have query cache Some don't
Result set cache Some data don't change
Result set cache Some data don't change Fetch and store to  memcached
Memcached Client-server architecture Key-value in memory store for strings and objects
Problems with caching
Data change sometimes but not often enough Employee list of a company
Data change sometimes but not often enough Employee list of a company Invalidate cache when adding or removing employees
Data change sometimes and delay is okay Translations from database
Data change sometimes and delay is okay Translations from database Introduce cache lifetime
Moar cache keys for the same data Sorted employee list (asc, desc)
Moar cache keys for the same data Sorted employee list (asc, desc) Cache groups
Cache groups Keys: list-sorted-asc, list-sorted-desc
Cache groups Keys: list-sorted-asc, list-sorted-desc Group „list“: list-sorted-asc, list-sorted-desc, list-unsorted
Cache groups Keys: list-sorted-asc, list-sorted-desc Group „list“: list-sorted-asc, list-sorted-desc, list-unsorted Delete group „list“ when adding/removing
Cache wherever and whatever
…  but delete your whatever when needed
Caching is magic
Caching is magic but not automagic
Caching is magic but not automagic until now
www.phpguru.cz/kaskadova-cache ,[object Object],[object Object]
Practical implementation, anyone ? ,[object Object],[object Object]
[object Object]

Weitere ähnliche Inhalte

Was ist angesagt?

Introduction to Redis
Introduction to RedisIntroduction to Redis
Introduction to Redis
Dvir Volk
 
HBase and HDFS: Understanding FileSystem Usage in HBase
HBase and HDFS: Understanding FileSystem Usage in HBaseHBase and HDFS: Understanding FileSystem Usage in HBase
HBase and HDFS: Understanding FileSystem Usage in HBase
enissoz
 
Hadoop REST API Security with Apache Knox Gateway
Hadoop REST API Security with Apache Knox GatewayHadoop REST API Security with Apache Knox Gateway
Hadoop REST API Security with Apache Knox Gateway
DataWorks Summit
 
Apache kafka 모니터링을 위한 Metrics 이해 및 최적화 방안
Apache kafka 모니터링을 위한 Metrics 이해 및 최적화 방안Apache kafka 모니터링을 위한 Metrics 이해 및 최적화 방안
Apache kafka 모니터링을 위한 Metrics 이해 및 최적화 방안
SANG WON PARK
 

Was ist angesagt? (20)

Introduction to Redis
Introduction to RedisIntroduction to Redis
Introduction to Redis
 
HBase and HDFS: Understanding FileSystem Usage in HBase
HBase and HDFS: Understanding FileSystem Usage in HBaseHBase and HDFS: Understanding FileSystem Usage in HBase
HBase and HDFS: Understanding FileSystem Usage in HBase
 
Building robust CDC pipeline with Apache Hudi and Debezium
Building robust CDC pipeline with Apache Hudi and DebeziumBuilding robust CDC pipeline with Apache Hudi and Debezium
Building robust CDC pipeline with Apache Hudi and Debezium
 
Hudi architecture, fundamentals and capabilities
Hudi architecture, fundamentals and capabilitiesHudi architecture, fundamentals and capabilities
Hudi architecture, fundamentals and capabilities
 
Http caching basics
Http caching basicsHttp caching basics
Http caching basics
 
DNS Security Presentation ISSA
DNS Security Presentation ISSADNS Security Presentation ISSA
DNS Security Presentation ISSA
 
How to migrate from Alfresco Search Services to Alfresco SearchEnterprise
How to migrate from Alfresco Search Services to Alfresco SearchEnterpriseHow to migrate from Alfresco Search Services to Alfresco SearchEnterprise
How to migrate from Alfresco Search Services to Alfresco SearchEnterprise
 
Chicago Data Summit: Apache HBase: An Introduction
Chicago Data Summit: Apache HBase: An IntroductionChicago Data Summit: Apache HBase: An Introduction
Chicago Data Summit: Apache HBase: An Introduction
 
Apache Hadoop Security - Ranger
Apache Hadoop Security - RangerApache Hadoop Security - Ranger
Apache Hadoop Security - Ranger
 
Amazon S3 Best Practice and Tuning for Hadoop/Spark in the Cloud
Amazon S3 Best Practice and Tuning for Hadoop/Spark in the CloudAmazon S3 Best Practice and Tuning for Hadoop/Spark in the Cloud
Amazon S3 Best Practice and Tuning for Hadoop/Spark in the Cloud
 
Change Data Capture to Data Lakes Using Apache Pulsar and Apache Hudi - Pulsa...
Change Data Capture to Data Lakes Using Apache Pulsar and Apache Hudi - Pulsa...Change Data Capture to Data Lakes Using Apache Pulsar and Apache Hudi - Pulsa...
Change Data Capture to Data Lakes Using Apache Pulsar and Apache Hudi - Pulsa...
 
Apache Ranger
Apache RangerApache Ranger
Apache Ranger
 
Hadoop security
Hadoop securityHadoop security
Hadoop security
 
Hadoop REST API Security with Apache Knox Gateway
Hadoop REST API Security with Apache Knox GatewayHadoop REST API Security with Apache Knox Gateway
Hadoop REST API Security with Apache Knox Gateway
 
Apache HBase Performance Tuning
Apache HBase Performance TuningApache HBase Performance Tuning
Apache HBase Performance Tuning
 
Hive: Loading Data
Hive: Loading DataHive: Loading Data
Hive: Loading Data
 
Alfresco 5.2 REST API
Alfresco 5.2 REST APIAlfresco 5.2 REST API
Alfresco 5.2 REST API
 
Apache kafka 모니터링을 위한 Metrics 이해 및 최적화 방안
Apache kafka 모니터링을 위한 Metrics 이해 및 최적화 방안Apache kafka 모니터링을 위한 Metrics 이해 및 최적화 방안
Apache kafka 모니터링을 위한 Metrics 이해 및 최적화 방안
 
HBase HUG Presentation: Avoiding Full GCs with MemStore-Local Allocation Buffers
HBase HUG Presentation: Avoiding Full GCs with MemStore-Local Allocation BuffersHBase HUG Presentation: Avoiding Full GCs with MemStore-Local Allocation Buffers
HBase HUG Presentation: Avoiding Full GCs with MemStore-Local Allocation Buffers
 
Wars of MySQL Cluster ( InnoDB Cluster VS Galera )
Wars of MySQL Cluster ( InnoDB Cluster VS Galera ) Wars of MySQL Cluster ( InnoDB Cluster VS Galera )
Wars of MySQL Cluster ( InnoDB Cluster VS Galera )
 

Ähnlich wie Caching Strategies

Site Performance - From Pinto to Ferrari
Site Performance - From Pinto to FerrariSite Performance - From Pinto to Ferrari
Site Performance - From Pinto to Ferrari
Joseph Scott
 
Share point 2013 distributed cache
Share point 2013 distributed cacheShare point 2013 distributed cache
Share point 2013 distributed cache
Michael Nokhamzon
 
Стек Linux HTTPS/TCP/IP для защиты от HTTP-DDoS-атак
Стек Linux HTTPS/TCP/IP для защиты от HTTP-DDoS-атакСтек Linux HTTPS/TCP/IP для защиты от HTTP-DDoS-атак
Стек Linux HTTPS/TCP/IP для защиты от HTTP-DDoS-атак
Positive Hack Days
 
Как Web-акселератор акселерирует ваш сайт / Александр Крижановский (Tempesta ...
Как Web-акселератор акселерирует ваш сайт / Александр Крижановский (Tempesta ...Как Web-акселератор акселерирует ваш сайт / Александр Крижановский (Tempesta ...
Как Web-акселератор акселерирует ваш сайт / Александр Крижановский (Tempesta ...
Ontico
 

Ähnlich wie Caching Strategies (20)

Less and faster – Cache tips for WordPress developers
Less and faster – Cache tips for WordPress developersLess and faster – Cache tips for WordPress developers
Less and faster – Cache tips for WordPress developers
 
Site Performance - From Pinto to Ferrari
Site Performance - From Pinto to FerrariSite Performance - From Pinto to Ferrari
Site Performance - From Pinto to Ferrari
 
Scaling 101 test
Scaling 101 testScaling 101 test
Scaling 101 test
 
Scaling 101
Scaling 101Scaling 101
Scaling 101
 
Caching and tuning fun for high scalability
Caching and tuning fun for high scalabilityCaching and tuning fun for high scalability
Caching and tuning fun for high scalability
 
Varnish and Drupal- Accelerating Website Performance and Flexibility with Var...
Varnish and Drupal- Accelerating Website Performance and Flexibility with Var...Varnish and Drupal- Accelerating Website Performance and Flexibility with Var...
Varnish and Drupal- Accelerating Website Performance and Flexibility with Var...
 
Application Scalability in Server Farms - NCache
Application Scalability in Server Farms - NCacheApplication Scalability in Server Farms - NCache
Application Scalability in Server Farms - NCache
 
Four Ways to Improve ASP .NET Performance and Scalability
 Four Ways to Improve ASP .NET Performance and Scalability Four Ways to Improve ASP .NET Performance and Scalability
Four Ways to Improve ASP .NET Performance and Scalability
 
Static analysis saved my code tonight
Static analysis saved my code tonightStatic analysis saved my code tonight
Static analysis saved my code tonight
 
Caching and tuning fun for high scalability @ phpBenelux 2011
Caching and tuning fun for high scalability @ phpBenelux 2011Caching and tuning fun for high scalability @ phpBenelux 2011
Caching and tuning fun for high scalability @ phpBenelux 2011
 
Caching and tuning fun for high scalability
Caching and tuning fun for high scalabilityCaching and tuning fun for high scalability
Caching and tuning fun for high scalability
 
Share point 2013 distributed cache
Share point 2013 distributed cacheShare point 2013 distributed cache
Share point 2013 distributed cache
 
Advanced HTTP Caching
Advanced HTTP CachingAdvanced HTTP Caching
Advanced HTTP Caching
 
Clug 2011 March web server optimisation
Clug 2011 March  web server optimisationClug 2011 March  web server optimisation
Clug 2011 March web server optimisation
 
Building a high-performance data lake analytics engine at Alibaba Cloud with ...
Building a high-performance data lake analytics engine at Alibaba Cloud with ...Building a high-performance data lake analytics engine at Alibaba Cloud with ...
Building a high-performance data lake analytics engine at Alibaba Cloud with ...
 
Caching and tuning fun for high scalability
Caching and tuning fun for high scalabilityCaching and tuning fun for high scalability
Caching and tuning fun for high scalability
 
MNPHP Scalable Architecture 101 - Feb 3 2011
MNPHP Scalable Architecture 101 - Feb 3 2011MNPHP Scalable Architecture 101 - Feb 3 2011
MNPHP Scalable Architecture 101 - Feb 3 2011
 
Стек Linux HTTPS/TCP/IP для защиты от HTTP-DDoS-атак
Стек Linux HTTPS/TCP/IP для защиты от HTTP-DDoS-атакСтек Linux HTTPS/TCP/IP для защиты от HTTP-DDoS-атак
Стек Linux HTTPS/TCP/IP для защиты от HTTP-DDoS-атак
 
Caching and tuning fun for high scalability @ FOSDEM 2012
Caching and tuning fun for high scalability @ FOSDEM 2012Caching and tuning fun for high scalability @ FOSDEM 2012
Caching and tuning fun for high scalability @ FOSDEM 2012
 
Как Web-акселератор акселерирует ваш сайт / Александр Крижановский (Tempesta ...
Как Web-акселератор акселерирует ваш сайт / Александр Крижановский (Tempesta ...Как Web-акселератор акселерирует ваш сайт / Александр Крижановский (Tempesta ...
Как Web-акселератор акселерирует ваш сайт / Александр Крижановский (Tempesta ...
 

Mehr von Michal Špaček

Mehr von Michal Špaček (20)

Víceúrovňová obrana vysvětlená na Cross-Site Scriptingu
Víceúrovňová obrana vysvětlená na Cross-Site ScriptinguVíceúrovňová obrana vysvětlená na Cross-Site Scriptingu
Víceúrovňová obrana vysvětlená na Cross-Site Scriptingu
 
Lámání a ukládání hesel
Lámání a ukládání heselLámání a ukládání hesel
Lámání a ukládání hesel
 
Fantom Opery, "VPN" a Secure Proxy v Opeře
Fantom Opery, "VPN" a Secure Proxy v OpeřeFantom Opery, "VPN" a Secure Proxy v Opeře
Fantom Opery, "VPN" a Secure Proxy v Opeře
 
Quality of Life, Multiple Lines of Defense
Quality of Life, Multiple Lines of DefenseQuality of Life, Multiple Lines of Defense
Quality of Life, Multiple Lines of Defense
 
Jak zlepšit zabezpečení čtvrtiny celého webu
Jak zlepšit zabezpečení čtvrtiny celého webuJak zlepšit zabezpečení čtvrtiny celého webu
Jak zlepšit zabezpečení čtvrtiny celého webu
 
Medvědí služba
Medvědí službaMedvědí služba
Medvědí služba
 
Disclosing password hashing policies
Disclosing password hashing policiesDisclosing password hashing policies
Disclosing password hashing policies
 
XSS PHP CSP ETC OMG WTF BBQ
XSS PHP CSP ETC OMG WTF BBQXSS PHP CSP ETC OMG WTF BBQ
XSS PHP CSP ETC OMG WTF BBQ
 
Bezpečnost e-shopů (HTTPS, XSS, CSP)
Bezpečnost e-shopů (HTTPS, XSS, CSP)Bezpečnost e-shopů (HTTPS, XSS, CSP)
Bezpečnost e-shopů (HTTPS, XSS, CSP)
 
Poučte se z cizích chyb
Poučte se z cizích chybPoučte se z cizích chyb
Poučte se z cizích chyb
 
Minulé století volalo (Cross-Site Scripting + BeEF + CSP demo)
Minulé století volalo (Cross-Site Scripting + BeEF + CSP demo)Minulé století volalo (Cross-Site Scripting + BeEF + CSP demo)
Minulé století volalo (Cross-Site Scripting + BeEF + CSP demo)
 
Password manažeři detailněji – 1Password, LastPass, 2FA, sdílení
Password manažeři detailněji – 1Password, LastPass, 2FA, sdíleníPassword manažeři detailněji – 1Password, LastPass, 2FA, sdílení
Password manažeři detailněji – 1Password, LastPass, 2FA, sdílení
 
Operations security (OPSEC) in IT
Operations security (OPSEC) in ITOperations security (OPSEC) in IT
Operations security (OPSEC) in IT
 
HTTPS (a šifrování) všude
HTTPS (a šifrování) všudeHTTPS (a šifrování) všude
HTTPS (a šifrování) všude
 
HTTP Strict Transport Security (HSTS), English version
HTTP Strict Transport Security (HSTS), English versionHTTP Strict Transport Security (HSTS), English version
HTTP Strict Transport Security (HSTS), English version
 
Bezpečnost na mobilních zařízeních
Bezpečnost na mobilních zařízeníchBezpečnost na mobilních zařízeních
Bezpečnost na mobilních zařízeních
 
Základy webové bezpečnosti pro PR a marketing
Základy webové bezpečnosti pro PR a marketingZáklady webové bezpečnosti pro PR a marketing
Základy webové bezpečnosti pro PR a marketing
 
I forgot my password – what a secure password reset needs to have and why
I forgot my password – what a secure password reset needs to have and whyI forgot my password – what a secure password reset needs to have and why
I forgot my password – what a secure password reset needs to have and why
 
Hlava není na hesla
Hlava není na heslaHlava není na hesla
Hlava není na hesla
 
HTTP Strict Transport Security (HSTS)
HTTP Strict Transport Security (HSTS)HTTP Strict Transport Security (HSTS)
HTTP Strict Transport Security (HSTS)
 

Kürzlich hochgeladen

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 

Kürzlich hochgeladen (20)

Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 

Caching Strategies

Hinweis der Redaktion

  1. Q: Kdo víte, co je to cache? ME: cache je rychlé úložiště, kam s ukládají data z pomalého úložiště Q: kdo si myslí, že jsem to řekl špatně? Me: popovídáme si potom Q: kdo používáte nějakou cache? Me: všichni
  2. Ukázkový model
  3. Co znamená cache, jak se chová klient, v nejlepším případě neodejde žádný požadavel na server
  4. Když odejde, server vrátí v odpovědi tyto hlavičky
  5. Hlavičky pro podmíněné dotazy mají obrácené varianty
  6. Má spoustu parametrů, tohle jsou nejzajímavější, zbytek by vydal na druhou přednášku
  7. V ideálním případě odpovídá cache, ne půvvodní server
  8. Víc se toho říct nedá, to je taky na samostatnou přednášku
  9. ...Což není tak jednoduchý, protože
  10. Největší teoretik v čechách napsal článek, návrh, jak to celý zautomatizovat, problém je ten, že existuje snad jen jeden člověk, který to dokáže prakticky napsat.