Mar 8, 2017 | Dirk Myers
AMPS 5.2 is now available. This release of AMPS includes new features designed to help manage extremely complex, high-volume data flows that require data transformation in the AMPS server — while maintaining the performance and ease of use that AMPS is known for. The release also includes a set of...
Jul 22, 2016 | Pavel K.
The Advanced Message Processing System (AMPS) from 60East Technologies is a state-of-the-art technology that powers up many of the Fortune 500 companies. Developers who tried AMPS love it and use it in their products. But is there an easy way to test features of AMPS without having access to a...
amps cloud evaluation dashboard
Jun 15, 2016 | Tom Martens
In this post, we will revisit the topic of extending the AMPS client to provide a bookmark store for stateless clients. This post is in response to requests for a simple stateless store that does not provide all of the functionality of the local stores, but instead just makes it...
stateless 60east python bookmark replay
Apr 1, 2016 | Dirk Myers
Here at 60East, we’re dedicated to messaging.
All messaging. All the time. Day in and day out.
And that’s why we’re thrilled to bring you the newest, best, hottest, juiciest new message format.
We call it BFat. Check it out at bfat.io.
Would you like fries with that?
Mar 14, 2016 | Dirk Myers
AMPS 5.0 is now available. This version of AMPS builds on the technology in previous releases to refine existing features and bring all new capability to AMPS. With this release, AMPS provides extremely high performance persistent message queues. The message queues include a variety of fairness models, and include an...
queues 220.127.116.11 amps
Feb 26, 2016 | 60East
The Advanced Message Processing System (AMPS) from 60East Technologies is used in production for thousands of enterprise messaging applications. These applications use AMPS because they have the most demanding throughput and latency requirements for publish/subscribe messaging. These applications also take advantage of the AMPS durable message storage, historical replay and...
amps message queues performance rabbitmq
Oct 1, 2015 | Brand Hunt
I’ve been pondering for a while on how to showcase some replay functionality in our AMPS product in a way that’s general enough that everyone understands the concept, yet provides a solution metaphor that easily translates into other domains. Ideally, the data would be from some real-world system, where time-series,...
amps big data performance basketball
Jul 22, 2015 | Ravi Palepu
Why is it that the latest Bugatti Veyron doesn’t have the fastest time at the Top Gear test track? How could a highly regulated or constrained 2004 Renault R24 Formula One outperform it? The Bugatti outperforms the F1 in many tests; but not on that prestigious Top Gear track due...
amps performance pure software
Jun 8, 2015 | Ravi Palepu
“I may not have gone where I intended to go, but I think I have ended up where I needed to be.” ― Douglas Adams, The Long Dark Tea-Time of the Soul In the Hitchhiker’s Guide to the Galaxy, Douglas Adams conveyed to us that the earth was actually a...
amps composite messages binary messaging blobs
Jun 5, 2015 | Dirk Myers
At 60East, we’ve been heads down in the lab, mixing up new ingredients to bring you the future of messaging today. We’ve just released AMPS 18.104.22.168. This release focuses on extending the futuristic capabilities we introduced in AMPS 4.0, making AMPS even better! Here are just a few of the...
amps indexing composite messages
Apr 2, 2015 | Brand Hunt
At 60East, we’re always helping teams analyze complex, interconnected software systems. One thing that’s easy to take for granted is file sharing – something that’s not always easy to do between teams in large enterprises. There are often great reasons for this, but for transmission of log files containing no...
toolbox tips and tricks
Mar 11, 2015 | Dirk Myers
CIO Review recently published “Scale Up and Out: The Changing Face of High Performance Computing” by Jeffrey M. Birnbaum. This article describes the state of high performance computing, and how things have changed since 1998.
You can get the PDF, or read the article online.
hpc scale out scale up