Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 205

Monitoring Serverless Programming Speed 205

Dynatrace

MAY 8, 2023

The process involves monitoring various components of the software delivery pipeline, including applications, infrastructure, networks, and databases. It examines metrics like response times, application programming interface availability, and page load times to flag problems that affect the user experience.

DevOps 225

DevOps Efficiency Monitoring Infrastructure 225

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 IMDG transparently distributes the digital twin objects across a cluster of commodity servers for scalable processing.

Programming 63

Programming IoT Java Analytics 63

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 IMDG transparently distributes the digital twin objects across a cluster of commodity servers for scalable processing.

Programming 40

Programming IoT Java Analytics 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

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

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. Technology advancements in content creation and consumption have also increased its data footprint.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. Technology advancements in content creation and consumption have also increased its data footprint.

AWS 100

AWS Entertainment Open Source Benchmarking 100

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

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. We wanted the to tool be available as a standalone library as well as scalable API service.

Testing 163

Testing AWS Lambda Network 163

The Morning Paper

FEBRUARY 6, 2020

The key ingredients of Cloudburst are a highly-scalable key-value store for persistent state ( Anna ), local caches co-located with function execution environments, and cache-consistency protocols to preserve developer sanity while data is moved in and out of those caches. Programming model. Cloudburst programs are written in Python.

Lambda 98

Lambda Serverless Cache Latency 98

All Things Distributed

MAY 18, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Expanding the Cloud - Amazon S3 Reduced Redundancy Storage. Today a new storage option for Amazon S3 has been launched: Amazon S3 Reduced Redundancy Storage (RRS). By Werner Vogels on 18 May 2010 04:00 PM. Comments (). Durability in Amazon S3.

Storage 71

Storage Cloud AWS Scalability 71

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

Dynatrace

SEPTEMBER 25, 2019

Citrix is a sophisticated, efficient, and highly scalable application delivery platform that is itself comprised of anywhere from hundreds to thousands of servers. Tie latency issues to host and virtualization infrastructure network quality. Dynatrace news. It delivers vital enterprise applications to thousands of users.

Latency 118

Latency Performance Virtualization Infrastructure 118

Percona

OCTOBER 18, 2023

The findings from our 2023 Open Source Database Report highlight that a substantial 42% of all database instances are now licensed through community-supported open source models, and GitHub reports that over 30% of Fortune 100 companies have established open source program offices (OSPO) to coordinate and manage their open source initiatives.

Open Source 89

Open Source Database Hardware Strategy 89

ScaleOut Software

JULY 19, 2021

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. The list goes on. The Limitations of Today’s Streaming Analytics. The heavy lifting is deferred to the back office.

IoT 78

IoT Analytics Big Data Architecture 78

All Things Distributed

DECEMBER 13, 2016

At re:Invent 2016 , AWS announced Greengrass (in limited preview), a new service designed to extend the AWS programming model to small, simple, field-based devices. Fraud.net use AWS to support highly scalable, big data applications that run machine learning processes for real-time analytics. Fraud.net is a good example of this.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

ScaleOut Software

JULY 21, 2020

Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Because all the work is performed with the IMDG, this has the two-fold advantage of offloading both the network and the client’s CPU. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Because all the work is performed with the IMDG, this has the two-fold advantage of offloading both the network and the client’s CPU. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 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

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

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

All Things Distributed

NOVEMBER 29, 2017

Though the AWS Cloud gives you access to the storage and processing power required for ML, the process for building, training, and deploying ML models has unique challenges that often block successful use of this powerful new technology. An elastic, secure, and scalable environment to host your models, with one-click deployment.

Tuning 94

Tuning AWS Scalability Infrastructure 94

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. Who knew! ;).

Cache 79

Cache Latency Google Lambda 79

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

All Things Distributed

JANUARY 19, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Flexibility is one of the key principles of Amazon Web Services - developers can select any programming language and software package, any operating system, any middleware and any database to build systems and applications that meet their requirements.

AWS 115

AWS Cloud Java Scalability 115

All Things Distributed

NOVEMBER 15, 2010

Werner Vogels weblog on building scalable and robust distributed systems. 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. General Purpose GPU programming. All Things Distributed. Comments (). From CPU to GPU.

AWS 136

AWS Latency Programming Architecture 136

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

All Things Distributed

AUGUST 16, 2011

Werner Vogels weblog on building scalable and robust distributed systems. The Cloud First strategy is most visible with new Federal IT programs, which are all designed to be â??Cloud This clears the path for agencies that have IT programs that need to be ITAR-compliant to start using AWS GovCloud (US) for these applications.

AWS 111

AWS Government Big Data Cloud 111

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

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

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. Technology advancements in content creation and consumption have also increased its data footprint.

AWS 37

AWS Entertainment Open Source Benchmarking 37

ACM Sigarch

NOVEMBER 1, 2019

Alongside more traditional sessions such as Real-World Deployed Systems and Big Data Programming Frameworks, there were many papers focusing on emerging hardware architectures, including embedded multi-accelerator SoCs, in-network and in-storage computing, FPGAs, GPUs, and low-power devices. Heterogeneous ISA.

Architecture 12

Architecture Hardware Cache Storage 12

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

The Morning Paper

APRIL 16, 2019

During the ten week course, students implement four different assignments: an exactly-once RPC protocol; a primary-backup system; Paxos; and a scalable, transactional key-value storage system. The networking model is asynchronous (allowing out of order, dropped, delayed, and duplicated messages), the failure model is crash-stop.

Systems 43

Systems Efficiency Testing Strategy 43

Sutter's Mill

APRIL 30, 2012

While there are multiple relevant native networking APIs (e.g. They don’t compose particularly well with code based on the standard C++ libraries, and they don’t take advantage of modern C++ language features and practices in their programming models. This is where “Casablanca” comes in. listen( []{ fgetc( stdin ); } ).wait();

C++ 43

C++ Azure Programming Cloud 43