Skip directly to content

High Availability

Great Evening with the TriangleJS Meet-up Group

Wednesday, May 23, 2012 - 12:00am

written by Andrew Wilson on May 23, 2012

Last night I gave a talk and had an engaging conversation with the TriangleJS meet-up group in Raleigh, NC.  I’d like to thank my hosts at WebAssign for providing such a nice facility, Lucas Myers for managing the logistics of the meet-up and, most of all, the group members who invested an evening to learn more about VoltDB.

Although my talk was somewhat geared toward recent work we’ve done with Node.js, the follow-on discussion covered a wide range of technical topics ranging from database partitioning, single- and multi-part queries, query routing,

High Availability and Cloudy Problems

Tuesday, September 21, 2010 - 12:00am

VoltDB, like many distributed systems, achieves high availability through redundant processing nodes. VoltDB calls this K-Safety. Essentially, the distributed system can answer any request at at least K+1 servers, so it can tolerate at least K hardware failures. The operator specifies the value of K that they find is the best tradeoff between failure, robustness and cost. Other systems use the terms “replica set” to describe similar functionality.

Let’s talk about EC2-style clouds that provide you with a virtualized server at an hourly cost.

Intro to WAN Replication in VoltDB

Monday, November 14, 2011 - 12:00am

This is the first in a series of posts about WAN replication, a VoltDB feature that’s currently under development.  It provides a high level overview of our direction. More detailed posts will follow as we progress through our engineering iterations.

 

As an in-memory transactional DBMS, VoltDB delivers breakthrough performance and scale.  Two of the product’s most significant innovations, however, are in database availability and durability:

  • Availability – VoltDB delivers high availability (HA) via a synchronous multi-master feature called K-safety.

Picture it: Three Nodes, Highly Available Cluster, ~1 Million Transactions/second – with VoltDB

Tuesday, June 4, 2013 - 12:00am

written by Philip Rosegay on June 4, 2013

You’ve probably heard about the VoltDB, the super fast distributed ACID SQL RDBMS for OLTP, but you might not be aware of its throughput capabilities in detail. VoltDB achieves its high throughput by eliminating the locking and latching of conventional databases. It’s also distributed and can automatically shard your data, and it has a bunch of other really cool features that make transaction processing a snap.

We took a key­-value application and implemented it in VoltDB (the app is available with the distribution if you want to try it). We set the

Scaling with VoltDB: The Clustered Database

Wednesday, January 9, 2013 - 12:00am

This is part 2 (of 2) of my Programming VoltDB – Easy, Flexible and Ultra-fast series. Blog post, part 1, showed how to build a VoltDB application using ad hoc queries and achieving thousands of transactions a second. It also showed how converting that logic to use VoltDB stored procedures allowed you to parallelize query execution and achieve 100,000+ transactions a second on a single node. In this blog post I’ll talk about scaling beyond 100,000 transactions per second by creating a VoltDB clustered database.

 

There are primarily two reasons why you would want to run VoltDB as a clustered

To Flash or Not to Flash: That is the Question

Tuesday, June 12, 2012 - 12:00am

written by Mike Stonebraker on June 12, 2012 

I am often asked about the value of flash memory in OLTP database applications.  This blog post discusses flash technology in this context.  First, I discuss the future of flash in general; then I turn to flash (and other future storage technologies) in the context of a main memory DBMS, such as VoltDB.

The Future of Flash

Flash memory is clearly a “moving window”, since its price and performance are changing quickly.  Historically, flash could only be written a few thousand times, before it would “wear out” and have to be replaced.

Transactions on a Budget

Friday, September 24, 2010 - 12:00am

written by Tim Callaghan on September 24, 2010

We hand-built a “cluster” at VoltDB to perform a variety of long running tests. In this test cluster, one of the nodes performs all client application activity while the other 5 serve as VoltDB servers. The cost of the entire setup was under $3500 (six machines with 8GB RAM, 2 UPSs, and an 8-port switch). I’ll provide more technical details of the cluster hardware in a future blog entry.

After moving into our new office I kicked off my favorite test suite that includes a data generator, an export client (writing data to the file system), and a

VoltDB Community Users Share Knowledge

Monday, May 14, 2012 - 12:00am

written by Scott Jarr on May 14, 2012

VoltDB adoption and deployments are accelerating.  We’re working hard make our products easy to use in both cloud and privately-racked infrastructures.  We see strong adoption in five application categories – capital markets (mostly around trading systems), digital advertising, online games, network monitoring, and intelligence/surveillance (national security, fraud mitigation, etc.).

With product evaluations on the rise, organizations are increasingly asking about user experiences, particularly for deployed VoltDB applications.  There are some strong

VoltDB WAN Replication – Pre-release Users Invited

Thursday, January 26, 2012 - 12:00am

written by John Piekos on January 26, 2012

The subject of my last blog post was an introduction to VoltDB Replication, one of the major product additions that we’ve been working on.  Well, with this post, I’m happy to announce that we’ve recently pre-released VoltDB Replication to selected users to perform beta-level validation!

VoltDB WAN replication involves duplicating the contents of one database cluster (known as the master) to another database cluster (known as the replica). The process of retrieving completed transactions from the master and applying them to the replica is managed by a