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Photo by Freepik Part of the answer is this: You have a lot of control over the design and code for the pages on your site, plus a decent amount of control over the first and middle mile of the network your pages travel over. Back around 2011, most cable companies made the switch from DOCSIS 2.0 to DOCSIS 3.0.
About 5 years ago, I introduced you to AWS Availability Zones, which are distinct locations within a Region that are engineered to be insulated from failures in other Availability Zones and provide inexpensive, low latency network connectivity to other Availability Zones in the same region.
By Werner Vogels on 17 August 2011 11:40 AM. Amazon S3 is much more than just storage; the network and distributed systems infrastructure to ensure that content can be served fast and at high rates without customers impacting each other, is amazing. All Things Distributed. No Server Required - Jekyll & Amazon S3. Comments ().
By Werner Vogels on 27 April 2011 12:51 AM. We use high-performance transactions systems, complex rendering and object caching, workflow and queuing systems, business intelligence and data analytics, machine learning and pattern recognition, neural networks and probabilistic decision making, and a wide variety of other techniques.
Thanks to progress in networks and browsers (but not devices), a more generous global budget cap has emerged for sites constructed the "modern" way: ~100KiB of HTML/CSS/fonts and ~300-350KiB of JS (compressed) is the new rule-of-thumb limit for at least the next year or two. Modern network performance and availability.
## References I've reproduced the references from my SREcon22 keynote below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?
Case-in-point, most enterprise CMS vendors lack robust full-site content delivery network (CDN) integration. A few months back, I was pulled into a scenario where a business has been working with a leading CMS vendor to roll-out a network of multi-regional websites. Eventually, we decided to move them to Jekyll.
To overcome some of these challenges, we built our own Java-based player, complete with caching, content compression, and even bandwidth detection so it could switch between video, audio, and text versions of a course depending on network speed. Ultimately the business didn’t survive the dotcom bust, but it lit a spark.
References I've reproduced the references from my SREcon22 keynote below, so you can click on links: [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] , Jul 2008 [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] , 2010 [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?
example.net --port=27017 --username=user --authenticationDatabase=admin --db=demo --collection=events --out=/opt/backup/mongodump-2011-10-24 Note : If we don’t specify the DB name or Collection name explicitly in the above “mongodump” syntax then the backup will be taken for the entire database or collections, respectively.
Jul 4 - Leases: An efficient fault-tolerant mechanism for distributed file cache consistency , Gray, Cary, and David Cheriton, Vol. Aug 11 - " On the Naming and Binding of Network Destinations ", Saltzer, J. Sep 21 - Leases: An Efficient Fault-Tolerant Mechanism for Distributed File Cache Consistency , Cary G. Saltzer, D.
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