In-Memory Computing Planet® Blogs and Events

2021 is going to be a launchpad for change, and here’s what’s coming

2020 was a year unlike any other. Businesses large and small, governments new and old all had to completely change what they do and how they operate. Helping us to manage this dramatic change was technology. Whether it was Blackboard continuing our children’s education, Zoom becoming our business boardroom (and our pub), or Netflix being our night out at the movies, we relied on technology to help feed our families, teach our children, collaborate with co-workers, even entertain ourselves after yet another day in the house. Rather than slow us down, 2020 accelerated our shift to a digital world and I anticipate we won’t go back any time soon. Thanks to this acceleration, from my vantage point, 2021 is going to be a launchpad for all kinds of change,…

The pandemic has been devastating for many, but it has also presented opportunities for us to advance the way we live work and play. We are accelerating the use of technology in ways we have never seen, and while we have lost many things, we also have many things to be thankful for.

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SingleStore Universal Storage technology is a dramatic evolution of our columnstore data format that allows it to support both operational and analytical workloads with low total cost of ownership (TCO). People love our rowstores for OLTP-style access patterns because of our great performance based on memory-optimized data structures and compilation of queries to machine code. But for users with large data sets, the cost of providing servers with enough RAM to hold all the data started to be significant. Universal Storage solves this cost problem, while also providing even better analytical performance via query execution that takes advantage of columnar …

The post SingleStore Universal Storage, Episode 3: Revenge of the Upsert appeared first on SingleStore Blog - MemSQL is Now SingleStore…

SingleStore is proud to announce the general availability of SingleStore DB 7.3 for immediate download. SingleStore DB 7.3 is also available today on SingleStore Managed Service, the company’s elastic cloud database, available on public cloud providers around the world. At SingleStore, we are building the next great database platform. SingleStore DB is a distributed operational database that delivers speed and scale. As the leading NewSQL platform for real-time analytics and augmented transaction processing [Ron19], SingleStore DB can handle all your workloads in the cloud or in your data center. This release provides improved ingestion and multi-way join efficiency to further …

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Throughout our long careers at Intel, my colleague, Omri Barkay, and I  have watched the workforce become highly mobile, both on and off campus, inside and outside, within a single building or across a huge campus. Wireless technology has become an integral part of life at Intel. Wireless enterprise use cases have multiplied dramatically—75 percent ...continue reading More Wireless Enterprise Use Cases with Wi-Fi 6

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Midway through AWS re:Invent 2020 it’s striking how much the task of engineering digital transformation has grown from its early focus on building more compute horsepower to now embracing the solution-focused quest for faster time to results. It’s exciting that we can now deploy technology at cloud scale, enable people to work together across great ...continue reading AWS re:Invent 2020 Showcases ‘Democratized’ Cloud and Speed to Value

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Today’s Azure Stack HCI general availability announcement is the latest milestone in Intel’s co-innovation and shared cloud vision with Microsoft. We’re proud to collaborate with Microsoft in driving the scalable performance, compatibility and compliance that define today’s distributed IT environments and hybrid cloud configurations. Our two decades of co-innovation with Microsoft continues to raise the ...continue reading Intel Powers Azure Stack HCI to Raise Enterprise Hybrid Cloud Standard

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In this article, we look at how transactions work in Apache Ignite. We begin with an overview of Ignite’s transaction architecture and then illustrate how tracing can be used to inspect transaction logic. Finally, we review a few simple examples that show how transactions work (and why they might not work).

Our customers never stop building. And because they never stop, their need for security, availability, performance, scalability, and flexibility over how they choose to run their workloads never stop. At AWS, we are customer obsessed, so we never stop building either. That is why we have created more than 175 services, which we offer from 24 AWS Regions around the world to give our customers the best possible cloud experience, no matter where they are. We are excited to be announcing plans to launch a second infrastructure region in Australia in the second half of 2022. The new AWS Asia Pacific Region will be located in the Australian city of Melbourne and will deliver even lower latency to customers and their end users in Asia Pacific.

Since our initial launch in mid-2020, GridGain Control Center has strived to bring transparency and flexibility to the monitoring and development of Apache Ignite and GridGain applications. With each monthly update, we introduce new features to make it easier for admins and developers to understand what exactly is happening within their clusters. In our latest update (2020.11.00), we add new features for Cache monitoring, new API instrumentation for Tracing, and new security integrations.

Abstract Many organizations today are looking for ways to run Machine Learning (ML) models in operational systems at scale. Data Scientists can now take models that they build in SageMaker and deploy them as user-defined functions within our general purpose, relational database. Read more about how you can accelerate the execution of your models against real time data. You can also find in-depth notebooks detailing how to implement this on GitHub. Setting the Stage AWS SageMaker has quickly become one of the most widely used data science platforms in the market today. Evidence suggests that even though there has been …

The post AWS SageMaker and SingleStore: Operationalizing Machine Learning at Scale appeared first on SingleStore Blog - MemSQL is Now SingleStore.

We can’t listen to Newton walk us through the early days of physics, or Darwin chatting about the origins of his “Origins of Species” work. However, we can hear about the early years of artificial intelligence (AI) from one of its creators—Yann LeCun. Yann is a distinguished professor at NYU, the Chief AI Scientist at ...continue reading The Oral History of AI

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I once heard that a “book worth reading is worth reading twice”, and I’ve found this to be true about other things as well. There’s a documentation page that’s been with me for the majority of my professional career; a page that I keep coming back to and that I’ve read from start to finish, without skipping a word, more than a few times in the last few years. This document is GitLab’s Embracing Asynchronous Communication guide, a section of GitLab’s public handbook that goes over their approach to asynchronous communication as a business. To provide you with some context, …

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Imagine that we need to build a monitoring infrastructure for a distributed database, such as Apache Ignite. Let’s put metrics into Prometheus. And, let’s draw charts in Grafana. Let’s not forget about the notification system—we’ll set up Zabbix for that. Let’s use Jaeger for traces analysis. For state management, the CLI will do. As for SQL queries, let’s use a free JDBC client, such as DBeaver.

Imagine that we need to build a monitoring infrastructure for a distributed database, such as Apache Ignite. Let’s put metrics into Prometheus. And, let’s draw charts in Grafana. Let’s not forget about the notification system—we’ll set up Zabbix for that. Let’s use Jaeger for traces analysis. For state management, the CLI will do. As for SQL queries, let’s use a free JDBC client, such as DBeaver.