Q&A with Tangosol's Cameron Purdy and Peter Utzschneider

Q&A with Tangosol's Cameron Purdy and Peter Utzschneider:

"Their functionality and the data that they depend on must all be continuously available, surviving failures of servers, networks and even data centers."

"We can now detect a remote garbage collection within milliseconds, and dynamically reshape the cluster's traffic to avoid overheating that node."

"The self-tuning algorithms, flow control and traffic shaping features have propelled us years ahead of the technology curve, and help to explain how Coherence is the lowest latency, highest throughput and most scalable clustered data management system in existence."

"This 3.2 release is also notable because it is the first release that we have focused specifically on cluster latency, largely related to specific requests from telecom and financial services customers."

"In my experience, switching to Infiniband form GigE is a big win. But also, I've seen a strictly linear, by-the-ruler, scaling to nearly 400 cache nodes"

Oracle Coherence: author blog

Обнаружен блог Cameron Purdy.

Cameron Purdy was the founder and president of Tangosol, Inc, a market leader in delivering in-memory caching and data management solutions to companies building and running mission critical enterprise J2EE applications. He currently is VP of Development at Oracle.

P.S. Tangosol разработал Coherence, был куплен Ораклом за 200М.
P.P.S. Cameron Purdy on Scaling Out Data Grids.

[PJP]: Binary, Buffers and Streams, Oh My!

Binary, Buffers and Streams, Oh My!

Some numbers from Oracle

On the performance side, Oracle boasts that one rack can serve over 1M HTTP requests/s and can process over 1.8M Java messages/s.

Larry Ellison mentioned during Oracle OpenWorld keynote that China runs its entire railway ticketing system on one Exalogic and one could run the entire Facebook web layer on a couple of those

Oracle Coherence: Implement Transactions, Locks, and Concurrency

Implement Transactions, Locks, and Concurrency:

"Coherence provides several options for managing concurrent access to data.
- Explicit locking (The ConcurrentMap interface (part of the NamedCache interface) supports explicit locking operations. Many developers find this simple locking API to be the most natural approach.)
- Transactions (The TransactionMap API builds on top of the explicit locking operations to support ACID-style transactions. )
- Container Integration (For transaction management in a Java EE container, Coherence provides a JCA resource adaptor in order to allow transactions to be managed via JTA. Although Coherence does not support XA transactions at this time, it can participate in XA transactions as the last resource.)
- EntryProcessors (Coherence also supports a lock-free programming model through the EntryProcessor API. For many transaction types, this minimizes contention and latency and improves system throughput, without compromising the fault-tolerance of data operations.)
- Data Source Integration(Guidelines on maintaining caches with local (non XA) data resources.)"

Who's Who in Distributed Caching Platforms: IBM, Microsoft and Oracle

Who's Who in Distributed Caching Platforms: IBM, Microsoft and Oracle

In-Memory Data Grid: Oracle Coherence

Прочитал Oracle® Coherence Getting Started Guide.

"The Oracle Coherence In-Memory Data Grid is a data management system for application objects that are shared across multiple servers, require low response time, very high throughput, predictable scalability, continuous availability and information reliability. For clarity, each of these terms and claims is explained ..."