In-Memory Computing Planet® Blogs and Events

IMC Planet presents in-memory computing blogs and events from around the world. Read the latest in-memory computing news here. Submit your RSS feed or post your upcoming events and help the in-memory computing community stay up to date on the latest developments.

Jan
28
2020
Posted by GridGain Systems Blog

Memory access is so much faster than disk I/O that many of us expect to gain striking performance advantages by merely deploying a distributed in-memory cluster and start reading data from it. However, sometimes we overlook the fact that a network interconnects cluster nodes with our applications, and it can quickly diminish the positive effects of having an in-memory cluster if a lot of data gets transferred continuously over the wire.

 
Jan
28
2020
Posted by GridGain Systems Blog

Memory access is so much faster than disk I/O that many of us expect to gain striking performance advantages by merely deploying a distributed in-memory cluster and start reading data from it. However, sometimes we overlook the fact that a network interconnects cluster nodes with our applications, and it can quickly diminish the positive effects of having an in-memory cluster if a lot of data gets transferred continuously over the wire.

 
Jan
27
2020
Posted by The MemSQL Blog

Gartner Peer Insights features technology product reviews from enterprise users, with more than 300,000 reviews covering nearly 6,000 products in more than 330 categories. Upholding their reputation as top industry analysts for enterprise technology, Gartner sees to it that the reviews are, in their words, “rigorously vetted,” with “no vendor bias.” MemSQL has nearly two dozen reviews, with an overall rating of 4.5 stars. Reviews cover  highlighting key points of what the software does for users. For those who want to know more about MemSQL, these reviews are a stellar resource. And, for those who are already MemSQL users, you …

The post Gartner Peer Insights Applauds MemSQL appeared first on MemSQL Blog.

 
Jan
27
2020
Posted by The Hazelcast In-Memory Data Grid Blog

Hazelcast loves Kubernetes. Thanks to the dedicated Hazelcast Kubernetes plugin, you can use dynamic auto-discovery. Hazelcast on Kubernetes can also run in multiple topologies: embedded, client-server, or as a sidecar. What’s more, thanks to the Helm package manager and the dedicated Hazelcast Helm Chart, you can deploy a fully functional Hazelcast server in literary minutes. […]

The post How to Set Up Your Own On-Premises Hazelcast on Kubernetes appeared first on Hazelcast.

 
Jan
22
2020
Posted by GridGain Systems Blog

Introduction

Cloud computing is on the rise for a couple of reasons: it is flexible, relatively cheap compared to supporting in-house infrastructure, and it allows excellent automation of resource allocation, thus cutting costs even more.

 
Jan
21
2020
Posted by The MemSQL Blog

There is a trend in industry which says that modern applications need to be built on top of one or more special-purpose databases. That every application benefits from using the best-of-breed technology for each requirement. And that the plethora of special-purpose options available from certain cloud providers is reasonable to manage. That’s all BUNK. The reality is that navigating the choices, figuring out how to use them effectively, and dealing with the ETL and inevitable data sprawl, is so difficult that the pain far outweighs any technical advantage you might get. In the vast majority of use cases, a single …

The post Stop the Insanity: Eliminating Data Infrastructure Sprawl appeared first on MemSQL Blog.

 
Jan
20
2020
Posted by All Things Distributed

Back when Jeff Bezos filled orders in his garage and drove packages to the post office himself, crunching the numbers on costs, tracking inventory, and forecasting future demand was relatively simple. Fast-forward 25 years, Amazon's retail business has more than 175 fulfillment centers (FC) worldwide with over 250,000 full-time associates shipping millions of items per day.

Amazon's worldwide financial operations team has the incredible task of tracking all of that data (think petabytes). At Amazon's scale, a miscalculated metric, like cost per unit, or delayed data can have a huge impact (think millions of dollars). The team is constantly looking for ways to get more accurate data, faster.

That's why, in 2019, they had an idea: Build a data lake that can support one of the largest logistics networks on the planet…

 
Jan
19
2020
Posted by The Morning Paper
STELLA: report from the SNAFU-catchers workshop on coping with complexity, Woods 2017, Coping with Complexity workshop “Coping with complexity” is about as good a three-word summary of the systems and software challenges facing us over the next decade as I can imagine. Today’s choice is a report from a 2017 workshop convened with that title, … Continue reading STELLA: report from the SNAFU-catchers workshop on coping with complexity
 
Jan
18
2020
Posted by ODBMS.org
“The US is the undisputed leader in AI development, the Index shows. The western superpower scored almost twice as highly as second-placed China, thanks to the quality of its research, talent and private funding. America was ahead on the majority of key metrics – and by a significant margin. However, on current growth experts predict […]
 
Jan
17
2020
Posted by Intel IP Peer Network

Updated: For changes in Linux kernel 4.20 and beyond (5.x) Intel Optane SSDs are ultra-fast and we wanted to share a few tips about Linux to help you get the most out of one of the world’s fastest SSDs. Optane is an SSD that can achieve sub-10 microsecond response time of 4 KiB I/O and ...continue reading Tuning the performance of Intel Optane SSDs on Linux Operating Systems

The post Tuning the performance of Intel Optane SSDs on Linux Operating Systems appeared first on IT Peer Network.

 
Jan
16
2020
Posted by The Morning Paper
Synthesizing data structure transformations from input-output examples, Feser et al., PLDI’15 The Programmatically Interpretable Reinforcement Learning paper that we looked at last time out contained this passing comment coupled with a link to today’s paper choice: It is known from prior work that such [functional] languages offer natural advantages in program synthesis. That certainly caught … Continue reading Synthesizing data structure transformations from input-output examples