memory-grid
We are on the edge of two potent technological changes: Clouds and Memory Based Architectures. This evolution will rip open a chasm where new players can enter and prosper. Google is the master of disk. You can't beat them at a game they perfected. Disk based databases like
Product
Smart Inspect has added quite a few features specifically tailored to high scalability and high performance environments to our tool over the years. This includes the ability to log to memory and dump log files on demand (when a crash occurs for example), special backlog queue features, a log service
Optimus Cloud™ by Prima Grid (www.primagrid.com) provides development and distributed runtime environment designed to deliver internet-scale Software as a Service innovation. Optimus Cloud™ Services Collaboration, deliver innovations with shorter-time-to-market and helps Cloud-based service developers to boost reuse and productivity. Optimus Cloud™ Technology is a unique implementation of server-less,
Hadoop
Geir Magnusson from 10gen presented a talk titled Cloud Data Persistence or ‘We’re in a database reneaissance - pay attention” today at QCon London 2009. The main message of his talk was that “physical limitations of today’s technology combined with the computational complexity of conventional relational databases are
Scalability
Over the last several decades computer architects have been phenomenally successful turning the transistor bounty provided by Moore's Law into chips with ever increasing single-threaded performance. During many of these successful years, however, many researchers paid scant attention to multiprocessor work. Now as vendors turn to multicore chips,
Paper
Authors: Kevin Lim Parthasarathy Ranganathan Jichuan Chang Chandrakant Patel Trevor Mudge Steven Reinhardt This International Symposium on Computer Architecture paper seeks to understand and design next-generation servers for emerging "warehouse-computing" environments. We make two key contributions. First, we put together a detailed evaluation infrastructure including a new benchmark
General Discussion
Hi we are looking at sharding our existing Java/Oracle based application. We are looking to make the app servers able to process requests for multiple (any?) shard. The concern that has come up is the amount of memory that would be consumed by having so many connection pools on
RoR
Gregg Pollack has made 13 screen casts on how to scale rails: Episode #1 - Page Responsiveness Episode #2 - Page Caching Episode #3 - Cache Expiration Episode #4 - New Relic RPM Episode #5 - Advanced Page Caching Episode #6 - Action Caching Episode #7 - Fragment Caching Episode
problem
Update: How do you design and handle peak load on the Cloud? by Cloudiquity. Gives a formula to try and predict and plan for peak load and talks about how GigaSpaces XAP, Scalr, RightScale and FreedomOSS can be used to handle peak load within EC2. Theo Schlossnagle, with his usual
cloud
I try to group XTP in to two main groups, type 1 and 2 and then subdivide type 2 in to 2a and 2b. I describe how I do this grouping and then amplify it a little in the context of cloud services.
Paper
Update: Barbara Liskov’s Turing Award, and Byzantine Fault Tolerance. Henry Robinson has created an excellent series of articles on consensus protocols. We already covered his 2 Phase Commit article and he also has a 3 Phase Commit article showing how to handle 2PC under single node failures. But that
Strategy
Update 6: CARS = Cost Aware Runtimes and Services by William Louth. Update 5: Damn You Google, Damn You Yahoo! Why D'Ya Do This to Us? Free accounts on a cloud platform are a constant drain of money. Update 4: Caching becomes even more important in CPU based billing