high_scalability high_scalability-2007 high_scalability-2007-49 knowledge-graph by maker-knowledge-mining
Source: html
Introduction: buy cleocin
sentIndex sentText sentNum sentScore
wordName wordTfidf (topN-words)
[('buy', 1.0)]
simIndex simValue blogId blogTitle
same-blog 1 1.0 49 high scalability-2007-07-30-allowed contributed
Introduction: buy cleocin
2 0.18113676 585 high scalability-2009-04-29-How to choice and build perfect server
Introduction: There are a lot of questions about the server components, and how to choice and/or build perfect server with consider the power consumption. So I decide to write about this topic . Key Points: What kind of components the servers needs The Green Computing and the Servers components. How much power the server consume. Choice the right components: Processors, HDD, RAID, Memory Build Server, or buy?
3 0.17052393 1027 high scalability-2011-04-20-Packet Pushers: How to Build a Low Cost Data Center
Introduction: The main thrust of the Packet Pushers Show 41 episode was to reveal and ruminate over the horrors of a successful attack on RSA , which puts the whole world security complex at risk. Near the end, at about 46 minutes in, there was an excellent section on how to go about building out a low cost datacenter. Who cares? Well, someone emailed me this exact same question awhile back and I had a pretty useless response. So here's making up for that by summarizing the recommendations from the elite Packet Pushers cabal: Look at Arista and Juniper. Juniper Has a range of stackable switches, which includes some 10 gig. If your budget can stretch for it they might make a good deal on their new QFX proto-fabric product. You can't get a full sized fabric solution, but you can get a few switches together to make a two port fabric. Good solution if you are running 10 gig and only need 30 or 40 10 gig ports. Thinks Juniper would make a good deal in order to get a few re
4 0.15316319 1556 high scalability-2013-11-29-One Story of Life as Told Through Queues
Introduction: Love this little example of the human condition from John Kellden  via Ilya Grigorik . This happens so often to me shopping at Costco or making lane changes on the highway or picking stocks. Sometimes it's just never the right line and trying to make it better only makes it worse. Stick and stay. Buy and hold. Live to queue another day.
5 0.1498879 157 high scalability-2007-11-16-Product: lbpool - Load Balancing JDBC Pool
Introduction: From the website: The lbpool project provides a load balancing JDBC driver for use with DB connection pools. It wraps a normal JDBC driver providing reconnect semantics in the event of additional hardware availability, partial system failure, or uneven load distribution. It also evenly distributes all new connections among slave DB servers in a given pool. Each time connect() is called it will attempt to use the best server with the least system load. The biggest scalability issue with large applications that are mostly READ bound is the number of transactions per second that the disks in your cluster can handle. You can generally solve this in two ways. 1. Buy bigger and faster disks with expensive RAID controllers. 2. Buy CHEAP hardware on CHEAP disks but lots of machines. We prefer the cheap hardware approach and lbpool allows you to do this. Even if you *did* manage to use cheap hardware most load balancing hardware is expensive, requires a redundant balancer (if it
6 0.1302601 653 high scalability-2009-07-08-Servers Component - How to choice and build perfect server
7 0.12298669 117 high scalability-2007-10-08-Paper: Understanding and Building High Availability-Load Balanced Clusters
8 0.11851665 142 high scalability-2007-11-05-Strategy: Diagonal Scaling - Don't Forget to Scale Out AND Up
9 0.10903938 1172 high scalability-2012-01-10-A Perfect Fifth of Notes on Scalability
10 0.087010659 1133 high scalability-2011-10-27-Strategy: Survive a Comet Strike in the East With Reserved Instances in the West
11 0.084866628 430 high scalability-2008-10-26-Should you use a SAN to scale your architecture?
12 0.082744993 442 high scalability-2008-11-13-Plenty of Fish Says Scaling for Free Doesn't Pay
13 0.08141008 334 high scalability-2008-05-29-Amazon Improves Diagonal Scaling Support with High-CPU Instances
14 0.076962329 392 high scalability-2008-09-24-Building a Scalable Architecture for Web Apps
15 0.074742302 757 high scalability-2010-01-04-11 Strategies to Rock Your Startup’s Scalability in 2010
16 0.073519394 253 high scalability-2008-02-19-Building a email communication system
17 0.07190007 671 high scalability-2009-08-05-Stack Overflow Architecture
18 0.07066004 6 high scalability-2007-07-11-Friendster Architecture
19 0.058155935 1617 high scalability-2014-03-21-Stuff The Internet Says On Scalability For March 21st, 2014
20 0.055942599 1227 high scalability-2012-04-13-Stuff The Internet Says On Scalability For April 13, 2012
topicId topicWeight
[(0, 0.015), (1, 0.011), (2, 0.018), (3, -0.008), (4, -0.014), (5, -0.018), (6, -0.002), (7, -0.002), (8, 0.01), (9, -0.021), (10, -0.011), (11, -0.018), (12, 0.008), (13, 0.025), (14, 0.022), (15, 0.019), (16, 0.017), (17, 0.029), (18, -0.022), (19, 0.032), (20, -0.011), (21, 0.001), (22, -0.014), (23, -0.052), (24, -0.004), (25, -0.018), (26, 0.027), (27, -0.025), (28, -0.018), (29, 0.052), (30, 0.003), (31, 0.041), (32, 0.01), (33, -0.041), (34, -0.039), (35, -0.031), (36, -0.001), (37, 0.017), (38, -0.001), (39, -0.009), (40, -0.004), (41, -0.01), (42, -0.032), (43, -0.021), (44, 0.02), (45, -0.019), (46, 0.011), (47, 0.038), (48, -0.017), (49, -0.017)]
simIndex simValue blogId blogTitle
same-blog 1 1.0 49 high scalability-2007-07-30-allowed contributed
Introduction: buy cleocin
2 0.61296672 585 high scalability-2009-04-29-How to choice and build perfect server
Introduction: There are a lot of questions about the server components, and how to choice and/or build perfect server with consider the power consumption. So I decide to write about this topic . Key Points: What kind of components the servers needs The Green Computing and the Servers components. How much power the server consume. Choice the right components: Processors, HDD, RAID, Memory Build Server, or buy?
3 0.57994872 653 high scalability-2009-07-08-Servers Component - How to choice and build perfect server
Introduction: There are a lot of questions about how the server components, and how to build perfect server with consider the power consumption. Today I will discuss the Server components, and how we can choice better server components with consider the power consumption, efficacy, performance, and price. Key points: What kind of components the servers needs? The Green Computing and the Servers components How much power the server consume Choice the right components: Processor Hard Disk Drive Memory Operating system Build Server, or buy?
4 0.5428347 902 high scalability-2010-09-16-Strategy: Buy New, Don't Fix the Old
Introduction: This strategy is from the Large Hadron Collider project: Improvements in performance per Watt have caused CERN to no longer sign hardware support contracts longer than three years. Machines run until they die. They have a very high utilization of equipment (‘duty cycle’, 7 x 24 x 365). Replacing hardware makes more sense because of the lower cost and the power savings of new hardware.
5 0.51837867 142 high scalability-2007-11-05-Strategy: Diagonal Scaling - Don't Forget to Scale Out AND Up
Introduction: All the cool kids advocate scaling out as the secret sauce of scaling. And it is, but don't forget to serve some tasty "scaling up" as a side dish. Scaling up doesn't have to mean buying a jet propelled, liquid cooled, 128 core monster super computer. Scaling up can just mean buying at the high end of the commodity buffet by buying more cores, more memory and using a shared nothing architecture to take advantage of all that power without adding complexity. Scale out when you need to, but big beefy boxes can absorb a lot of load before it's necessary to hit up your data center for more rack space. Here are a few examples of scaling out and up: John Allspaw , Flickr's operations manager, coined the term diagonal scaling for this strategy. In Making a site faster by removing machines (and a comment on this post) John told how Flickr replaced 67 dual-cpu boxes with 18 dual quad-core machines and recovered almost 4x rack space and reduced costs by about 50 percent. Fotol
6 0.49489811 430 high scalability-2008-10-26-Should you use a SAN to scale your architecture?
7 0.47317368 157 high scalability-2007-11-16-Product: lbpool - Load Balancing JDBC Pool
8 0.44285712 67 high scalability-2007-08-17-What is the best hosting option?
9 0.43538445 1027 high scalability-2011-04-20-Packet Pushers: How to Build a Low Cost Data Center
11 0.41097778 794 high scalability-2010-03-11-What would you like to ask Justin.tv?
12 0.40666881 865 high scalability-2010-07-27-A Metric A$$-Ton of Joe Stump: The Cloud is Cheaper than Bare Metal
13 0.40300068 392 high scalability-2008-09-24-Building a Scalable Architecture for Web Apps
14 0.39342725 112 high scalability-2007-10-04-You Can Now Store All Your Stuff on Your Own Google Like File System
15 0.38653848 1172 high scalability-2012-01-10-A Perfect Fifth of Notes on Scalability
16 0.38623238 63 high scalability-2007-08-09-Lots of questions for high scalability - high availability
17 0.38085264 383 high scalability-2008-09-10-Shard servers -- go big or small?
18 0.37628329 78 high scalability-2007-09-01-2 tier switch selection for colocation
19 0.37246341 143 high scalability-2007-11-06-Product: ChironFS
20 0.37045884 379 high scalability-2008-09-04-Database question for upcoming project
topicId topicWeight
[(60, 0.505)]
simIndex simValue blogId blogTitle
same-blog 1 1.0 49 high scalability-2007-07-30-allowed contributed
Introduction: buy cleocin
2 0.61252677 618 high scalability-2009-06-05-Google Wave Architecture
Introduction: Update: Good Vibrations by Radovan Semančík. Lot's of interesting questions about how Wave works, scalability, security, RESTyness, and so on. Google Wave is a new communication and collaboration platform based on hosted XML documents (called waves) supporting concurrent modifications and low-latency updates. This platform enables people to communicate and work together in new, convenient and effective ways. We will offer these benefits to users of Google Wave and we also want to share them with everyone else by making waves an open platform that everybody can share. We welcome others to run wave servers and become wave providers, for themselves or as services for their users, and to "federate" waves, that is, to share waves with each other and with Google Wave. In this way users from different wave providers can communicate and collaborate using shared waves. We are introducing the Google Wave Federation Protocol for federating waves between wave providers on the Internet. H
3 0.50703472 698 high scalability-2009-09-10-Building Scalable Databases: Denormalization, the NoSQL Movement and Digg
Introduction: Database normalization is a technique for designing relational database schemas that ensures that the data is optimal for ad-hoc querying and that modifications such as deletion or insertion of data does not lead to data inconsistency. Database denormalization is the process of optimizing your database for reads by creating redundant data. A consequence of denormalization is that insertions or deletions could cause data inconsistency if not uniformly applied to all redundant copies of the data within the database. Read more on Carnage4life blog...
4 0.42772016 1260 high scalability-2012-06-07-Case Study on Scaling PaaS infrastructure
Introduction: In his blog post, Scaling WSO2 Stratos , Srinath Perera explains the scaling architecture of the WSO2 Stratos Platform as a Service (PaaS) infrastructure. It is explained as a series of solutions where every solution adds a new concept to solve a specific problem found in the earlier solution. Overall, WSO2 Stratos uses a combination of intelligent Load balancing and lazy loading to scale up the architecture. More details about Stratos can be found from the paper WSO2 Stratos: An Industrial Stack to Support Cloud Computing . Problem Stratos is multi-tenanted . In other words, there are many tenants. Each tenant generally represents an organization and isolated from other tenants, where each tenant has his own users, resources, and permissions. Stratos supports multiple PaaS services. Each PaaS service is actually a WSO2 Products (e.g. AS, BPS, ESB etc.) offered as a service. Using those services, tenants may deploy their own Web Services, Mediation logic, Workflows, a
5 0.30466357 249 high scalability-2008-02-16-S3 Failed Because of Authentication Overload
Introduction: Being an authentic human being is difficult and apparently authenticating all those S3 requests can be a bit overwhelming as well. Amazon fingered a lot of processor heavy authentication requests as the reason for their downtime: Early this morning, at 3:30am PST, we started seeing elevated levels of authenticated requests from multiple users in one of our locations. While we carefully monitor our overall request volumes and these remained within normal ranges, we had not been monitoring the proportion of authenticated requests. Importantly, these cryptographic requests consume more resources per call than other request types. Shortly before 4:00am PST, we began to see several other users significantly increase their volume of authenticated calls. The last of these pushed the authentication service over its maximum capacity before we could complete putting new capacity in place. In addition to processing authenticated requests, the authentication service also performs accou
6 0.27217296 655 high scalability-2009-07-12-SPHiveDB: A mixture of the Key-Value Store and the Relational Database.
7 0.1852666 1617 high scalability-2014-03-21-Stuff The Internet Says On Scalability For March 21st, 2014
8 0.16128185 1292 high scalability-2012-07-27-Stuff The Internet Says On Scalability For July 27, 2012
9 0.15195991 1630 high scalability-2014-04-11-Stuff The Internet Says On Scalability For April 11th, 2014
10 0.1516434 299 high scalability-2008-04-07-Rumors of Signs and Portents Concerning Freeish Google Cloud
11 0.15076204 1572 high scalability-2014-01-03-Stuff The Internet Says On Scalability For January 3rd, 2014
13 0.11903121 1129 high scalability-2011-09-30-Stuff The Internet Says On Scalability For September 30, 2011
15 0.10330738 1408 high scalability-2013-02-19-Puppet monitoring: how to monitor the success or failure of Puppet runs
16 0.083870754 789 high scalability-2010-03-05-Strategy: Planning for a Power Outage Google Style
19 0.063943766 867 high scalability-2010-07-27-YeSQL: An Overview of the Various Query Semantics in the Post Only-SQL World