ScaleOut Software

SEPTEMBER 20, 2018

IMDGs harness the memory and computing power of multiple commodity (or cloud-based) servers to scale computing resources, and they minimize network bottlenecks by analyzing events within the grid. The post Object-Oriented Programming Simplifies Digital Twins appeared first on ScaleOut Software.

Programming 63

Programming IoT Java Analytics 63

ScaleOut Software

JUNE 29, 2018

Having just concluded participation in another In-Memory Computing Summit , it has become even more clear to me that the key to mainstream adoption of in-memory computing software platforms is architecture — the root of a platform’s value to applications. These priorities tend to push the architecture to the back burner.

Software Architecture 40

Software Architecture Architecture Software Software 40

ScaleOut Software

JUNE 29, 2018

Having just concluded participation in another In-Memory Computing Summit , it has become even more clear to me that the key to mainstream adoption of in-memory computing software platforms is architecture — the root of a platform’s value to applications. These priorities tend to push the architecture to the back burner.

Software Architecture 40

Software Architecture Architecture Software Software 40

Tech News Gather

JULY 19, 2023

Otherwise, you may not be able to locate enough appropriate hardware and end up having to often switch between different programs. Hubs The hub would be the primary data collector and manager for a network of remote monitoring smart devices. Connect the architectural pieces of your program using secure gateways.

Wireless 52

Wireless IoT Development Internet 52

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice.

Architecture 52

Architecture Cache Azure Storage 52

ScaleOut Software

JULY 19, 2021

Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention.

IoT 78

IoT Analytics Big Data Architecture 78

Testsigma

JULY 23, 2020

Desktop Application – Desktop application is a name coined for a general program used to run on a personal computer or laptop. This is a standalone software program which doesn’t depend on any internet connectivity for its working and its performance is not impacted because of any network related latencies.

Testing 63

Testing Internet Internet Latency 63

The Morning Paper

FEBRUARY 6, 2020

The canononical cloud platform architecture decouples storage and compute services so that each can be scaled and operated independently, i.e., they are disaggregated. A low-latency autoscaling KVS can serve as both global storage and a DHT-like overlay network. Programming model. High level architecture.

Lambda 98

Lambda Serverless Cache Latency 98

ScaleOut Software

SEPTEMBER 20, 2018

IMDGs harness the memory and computing power of multiple commodity (or cloud-based) servers to scale computing resources, and they minimize network bottlenecks by analyzing events within the grid.

Programming 40

Programming IoT Java Analytics 40

The Morning Paper

JANUARY 26, 2020

Second, Reverb enables speculative bug fix analysis … Third, Reverb supports wide-area debugging for applications whose server-side components use event-driven architectures. See e.g. " Debugging data flows in reactive programs." Changing the program’s state in some way. The problem.

Programming 86

Programming Servers Network Latency 86

The Netflix TechBlog

MAY 21, 2019

There are several problems efficient test scheduling could help us solve: Quickly detect a regression in the integration of the Netflix SDK on a consumer electronic or MVPD (multichannel video programming distributor) device. The neural network (NN)-based agent uses a deep net with fully connected layers.

Testing 163

Testing AWS Lambda Network 163

Brendan Gregg

FEBRUARY 28, 2023

I'm now program co-chair for SREcon 2023 APAC, and our 2023 conference is June 14-16 in Singapore. And now, helping bring USENIX conferences to Australia by giving the first keynote: I could not have scripted or expected it. The call for participation ends on March 2nd 23:59 SGT!

Performance 110

Performance Latency Cache Virtualization 110

The Morning Paper

JUNE 23, 2019

Coupled with stateless application servers to execute business logic and a database-like system to provide persistent storage, they form a core component of popular data center service archictectures. The network latency of fetching data over the network, even considering fast data center networks. What is that something?

Cache 79

Cache Latency Google Lambda 79

ACM Sigarch

NOVEMBER 1, 2019

This blog post gives a glimpse of the computer systems research papers presented at the USENIX Annual Technical Conference (ATC) 2019, with an emphasis on systems that use new hardware architectures. As a consequence, the vast majority of the papers in the past has usually focused on conventional X86 or GPU-accelerated architectures.

Architecture 12

Architecture Hardware Cache Storage 12

All Things Distributed

SEPTEMBER 6, 2013

Unilever – Unilever R&D program intended to accelerate the company’s scientific progress through improved access to global information. It makes use of the Eagle Genomics platform running on AWS, resulting in that Unilever’s digital data program now processes genetic sequences twenty times faster—without incurring higher compute costs.

Cloud 129

Cloud Energy AWS Healthcare 129

Adrian Cockcroft

JUNE 21, 2022

The early days at Sun Cambridge were special, I absorbed a lot about networking and the technical side of the role from my fellow systems engineer Martin Baines, and we were driving all over the region in cool company cars (I had a Citroen BX 16V) selling a really hot product. Rich Pettit is one of the best programmers I ever met.

Tuning 52

Tuning Benchmarking Engineering C++ 52

ScaleOut Software

JUNE 22, 2020

In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Brendan Gregg

FEBRUARY 28, 2023

I'm now program co-chair for SREcon 2023 APAC, and our 2023 conference is June 14-16 in Singapore. And now, helping bring USENIX conferences to Australia by giving the first keynote: I could not have scripted or expected it. It was a great privilege. The call for participation ends on March 2nd 23:59 SGT!

Performance 52

Performance Latency Cache Virtualization 52

Brendan Gregg

APRIL 30, 2018

Apart from networking, attending conferences like LISA in person is an effective way to upgrade your skills: you can block out work interruptions and absorb new knowledge that's been neatly summarized into sessions. To learn more about how LISA has evolved, browse last year's LISA17 conference program , and see the slides and talk videos.

DevOps 43

DevOps Network Best Practices Programming 43

Brendan Gregg

APRIL 29, 2018

Apart from networking, attending conferences like LISA in person is an effective way to upgrade your skills: you can block out work interruptions and absorb new knowledge that's been neatly summarized into sessions. To learn more about how LISA has evolved, browse last year's LISA17 conference program , and see the slides and talk videos.

DevOps 40

DevOps Network Best Practices Programming 40

ScaleOut Software

APRIL 22, 2020

The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. This object-oriented approach allows distributed caches to be viewed as more of an extension of an application’s in-memory data storage than as a separate storage tier.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. This object-oriented approach allows distributed caches to be viewed as more of an extension of an application’s in-memory data storage than as a separate storage tier.

Cache 52

Cache Storage Servers Database 52

The Morning Paper

APRIL 4, 2019

Such secrets are often protected by encryption in the storage. wpa_supplicant , an OSS library commonly used to connect to wireless networks using WPA , reads a cleartext password from a configuration file or network manager and stores in in memory. In doing so, the app assumes that the operating system (OS) is trustworthy.

Operating System 43

Operating System Systems Wireless Transportation 43

ACM Sigarch

NOVEMBER 4, 2019

The technical program, put together by program chairs Tor Aamodt and Reetuparna Das , showcased key innovations across a wide range of computer architecture topics, from domain-specific accelerators to in/near-memory computing and from security to quantum computing. . This year’s MICRO had three inspiring keynote talks.

Hardware 18

Hardware Architecture Programming Innovation 18

ACM Sigarch

AUGUST 20, 2018

same instruction set architecture, same operating system, etc.). In cloud computing, for example, encryption techniques are being explored to enable both encrypted storage and processing of data on a cloud platform. For example, the Internet is designed to allow any system to communicate with any other system in the networks.

Hardware 47

Hardware Operating System Architecture Software 47

ScaleOut Software

JULY 21, 2020

Because IMDGs have highly scalable storage capacity, they can easily return large numbers of matching objects to the client application, and this leads to network bottlenecks transferring large amounts of data from the IMDG back to the client. (Java applications use a similar mechanism.).

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

Because IMDGs have highly scalable storage capacity, they can easily return large numbers of matching objects to the client application, and this leads to network bottlenecks transferring large amounts of data from the IMDG back to the client. (Java applications use a similar mechanism.).

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.

Scalability 40

Scalability Cache Airlines Healthcare 40

Alex Russell

JULY 14, 2021

Because they lean on the system-provided WebView component, they do not need to pay the expense of a heavier app download to support rendering HTML, running JavaScript, decoding images, or loading network resources. Apps can customise UI to add deeper integrations, e.g., "pinning" images from a hosted page to Pinterest.

Google 121

Google Mobile Engineering Internet 121

The Netflix TechBlog

NOVEMBER 15, 2022

But it’s not easy: to pull this off, VFX studios need to build and operate serious technical infrastructure (compute, storage, networking, and software licensing), otherwise known as a “ render farm.” This program is just one example of the many ways Netflix strives to entertain the world.

Cloud 282

Cloud Entertainment AWS Infrastructure 282

Alex Russell

SEPTEMBER 20, 2020

"Appiness" is an illusion, an arbitrary line drawn to include programs built on some platforms but not others, and all of today's OSes allow multiple platforms to expose "real apps." Safety is within our budget, assuming platforms don't make exotic and dangerous APIs available all programs — more on that in a second.

Hardware 64

Hardware Mobile Programming Java 64

ScaleOut Software

MAY 4, 2014

Usually this means moving to a server with more CPU cores, greater memory capacity, and higher-end networking and storage options. Now CPU, memory, and storage resources can grow without predefined limits. Unless network bandwidth also grows proportionally to the number of servers, it usually becomes the limiter in scaling.

Network 40

Network Servers Analytics Storage 40

SQL Server According to Bob

JANUARY 11, 2020

Stable Media Stable media is often confused with physical storage. SQL Server defines stable media as storage that can survive system restart or common failure. Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well. See the article for more details. SQL Server 7.0

Servers 40

Servers Cache Media Hardware 40

All Things Distributed

AUGUST 20, 2015

Today, we are releasing a plugin that allows customers to use the Titan graph engine with Amazon DynamoDB as the backend storage layer. It opens up the possibility to enjoy the value that graph databases bring to relationship-centric use cases, without worrying about managing the underlying storage. The importance of relationships.

Database 134

Database Logistics Availability Social Media 134

All Things Distributed

NOVEMBER 15, 2010

We believe that making these GPU resources available for everyone to use at low cost will drive new innovation in the application of highly parallel programming models. These trade-offs have even impacted the way the lowest level building blocks in our computer architectures have been designed. General Purpose GPU programming.

AWS 136

AWS Latency Programming Architecture 136