Intelligent caching: leveraging cache to scale at the frontend
Up to this point, few software engineers and technical leaders have been prepared to meet the challenges of running web applications on a national or global scale. Sites that serve tens of millions of users and receive hundreds of millions of requests per day will quickly overwhelm your system if yo...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Sebastopol, CA
O'Reilly Media
[2016]
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| Ausgabe: | First edition. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781492049067/?ar |
| Zusammenfassung: | Up to this point, few software engineers and technical leaders have been prepared to meet the challenges of running web applications on a national or global scale. Sites that serve tens of millions of users and receive hundreds of millions of requests per day will quickly overwhelm your system if you're not ready for it. In this report, author Tom Barker provides a proven strategy for dealing with this user onslaught: intelligent frontend caching. Many engineers learn the virtues of backend scaling, resiliency, and VM tuning for addressing problems of this magnitude. For Barker--who runs a site with roughly 500 million page views per month--training was strictly on-the-job. This report outlines a strategy for using frontend cache tiers, in concert with a Content Delivery Network (CDN), to avoid backend problems while gaining higher site availability. Use frontend cache tiers and reduce your backend infrastructure Reduce latency by leveraging a CDN to provide edge caching Cache static content that is infrequently updated Explore a strategy for caching and updating personalized content Learn how cached content experiences hot, warm, and cold cycles Get solutions to common problems when caching frontend content Tom Barker is a software engineer, engineering manager, professor, and author. Currently, he is Director of Software Engineering and Development at Comcast, and an Adjunct Professor at Philadelphia University. |
| Beschreibung: | Online resource; title from title page (Safari, viewed December 12, 2018) |
| Umfang: | 1 Online-Ressource (1 volume) illustrations |
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| spelling | Barker, Tom 1977- VerfasserIn aut Intelligent caching leveraging cache to scale at the frontend Tom Barker First edition. Sebastopol, CA O'Reilly Media [2016] ©2017 1 Online-Ressource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from title page (Safari, viewed December 12, 2018) Up to this point, few software engineers and technical leaders have been prepared to meet the challenges of running web applications on a national or global scale. Sites that serve tens of millions of users and receive hundreds of millions of requests per day will quickly overwhelm your system if you're not ready for it. In this report, author Tom Barker provides a proven strategy for dealing with this user onslaught: intelligent frontend caching. Many engineers learn the virtues of backend scaling, resiliency, and VM tuning for addressing problems of this magnitude. For Barker--who runs a site with roughly 500 million page views per month--training was strictly on-the-job. This report outlines a strategy for using frontend cache tiers, in concert with a Content Delivery Network (CDN), to avoid backend problems while gaining higher site availability. Use frontend cache tiers and reduce your backend infrastructure Reduce latency by leveraging a CDN to provide edge caching Cache static content that is infrequently updated Explore a strategy for caching and updating personalized content Learn how cached content experiences hot, warm, and cold cycles Get solutions to common problems when caching frontend content Tom Barker is a software engineer, engineering manager, professor, and author. Currently, he is Director of Software Engineering and Development at Comcast, and an Adjunct Professor at Philadelphia University. Cache memory Memory management (Computer science) Web applications Information technology Management Antémémoire Gestion mémoire (Informatique) Applications Web Technologie de l'information ; Gestion Information technology ; Management |
| spellingShingle | Barker, Tom 1977- Intelligent caching leveraging cache to scale at the frontend Cache memory Memory management (Computer science) Web applications Information technology Management Antémémoire Gestion mémoire (Informatique) Applications Web Technologie de l'information ; Gestion Information technology ; Management |
| title | Intelligent caching leveraging cache to scale at the frontend |
| title_auth | Intelligent caching leveraging cache to scale at the frontend |
| title_exact_search | Intelligent caching leveraging cache to scale at the frontend |
| title_full | Intelligent caching leveraging cache to scale at the frontend Tom Barker |
| title_fullStr | Intelligent caching leveraging cache to scale at the frontend Tom Barker |
| title_full_unstemmed | Intelligent caching leveraging cache to scale at the frontend Tom Barker |
| title_short | Intelligent caching |
| title_sort | intelligent caching leveraging cache to scale at the frontend |
| title_sub | leveraging cache to scale at the frontend |
| topic | Cache memory Memory management (Computer science) Web applications Information technology Management Antémémoire Gestion mémoire (Informatique) Applications Web Technologie de l'information ; Gestion Information technology ; Management |
| topic_facet | Cache memory Memory management (Computer science) Web applications Information technology Management Antémémoire Gestion mémoire (Informatique) Applications Web Technologie de l'information ; Gestion Information technology ; Management |
| work_keys_str_mv | AT barkertom intelligentcachingleveragingcachetoscaleatthefrontend |