DiffusionData

Neil Seymour Promoted to COO of DiffusionData

Published

5 months ago

December 12, 2023

neil-seymour-promoted-to-coo-of-diffusiondata

DiffusionData Strengthens C-Level Team as Global Demand for Real-Time Bi-directional Stream Processing Accelerates

DiffusionData, the pioneer and leader in real-time data streaming and messaging solutions, today announced that Neil Seymour has been promoted to the role of Chief Operating Officer (COO). Neil was formerly Head of Engineering at the company. Prior to DiffusionData, he worked at Vizolution as Delivery Director and was a Professional Services Manager at Lexmark Enterprise Solutions.

Neil Seymour, COO of DiffusionData, said: “I am honoured to have this opportunity to take on the COO role and to be part of the continuing success of DiffusionData. Working with a team of seasoned professionals over the past 18 months has made my job so much easier. The industries we align with are experiencing some volatility, but I am convinced we have a world class product and team that will help us achieve DiffusionData’s strategic business goals.”

Neil has over 30 years experience of system development, implementation, integration with project and programme delivery knowledge, particularly within SME technology companies. He specialises in driving technically complex, business critical projects and business transformation engagements.

Grethe Brown, CEO of DiffusionData, said: “Neil’s promotion is of significant strategic value to us as we look to expand our senior team. Neil will have a focus on increasing our presence in financial services, building on our growth in the cloud and supporting our expansion into the Americas. The promotion is fully deserved and for a long time we have recognised his ability to build and manage multi-skilled teams to deliver a strong project focus and provide added value to new and existing customers. He is experienced in collaborating with internal teams to build commitment and momentum , which is vital for client success. ”

Seymour concluded: “The next phase in our growth will be challenging, so we need to be resilient when anticipating and reacting to change. Our focus remains on operational excellence whilst continuing to support customers on their journeys using the Diffusion product.”

DiffusionData’s framework, Diffusion, is used by companies worldwide in sectors such as financial services, eGaming, retail, travel and transportation, health and digital media. The framework is purpose-built to simplify and speed data-driven, real-time application development, reduce operational costs, and economically deliver hyper-personalised data.

About DiffusionData
Founded in 2006, with offices in London and Silicon Valley, DiffusionData (formerly Push Technology) is a pioneer and leader in real-time bidirectional data streaming and messaging. Diffusion, the company’s Intelligent Data Framework, is used by companies worldwide in sectors such as financial services, eGaming, retail, travel and transportation, health and digital media sectors.

Working with DiffusionData organisations with demanding real-time bi-directional data streaming and messaging requirements can successfully redefine the boundaries of their performance across often unreliable and inconsistent networks at scale e.g. the Internet, cloud platforms, IoT, satellite and mobile. The framework is purpose-built to simplify and speed data-driven, real-time application development, reduce operational costs, and economically deliver hyper-personalised data.

DiffusionData customers have hundreds to thousands of connected end points serving up millions of event driven real-time messages and updates per second. DiffusionData assures delivery of data and unrivalled Quality of Service to its customer base. Learn more at www.diffusiondata.com.

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Andrey Nikishin Senior Cloud Product Manager at DiffusionData

DiffusionData Offers Free Trial of Diffusion Cloud

Published

2 months ago

February 27, 2024

GamingAmericas.com

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DiffusionData, the pioneer and leader in real-time data streaming, today announced that Diffusion Cloud is now available free on a no obligation one month’s trial, with no deployment costs. Diffusion Cloud is used by companies worldwide and simplifies and speeds data-driven, real-time application development, reduces operational costs, and economically delivers hyper-personalised data.

To support new sign ups, DiffusionData will make service engineers available if a trialist requires advice during the set-up process. To sign up for the free trial and to start using Diffusion Cloud today, click here.

Andrey Nikishin, Senior Cloud Product Manager at DiffusionData, said: “Anybody that signs up will gain access to a mature, fully managed service, free of charge for a month. Diffusion Cloud removes many of the obstacles developers face when using open source or in-house built solutions, most notably in terms of scalability and latency. Diffusion Cloud offers a predictability which is reassuring for companies that are streaming high volumes of real time business critical data.”

Scalability and Reducing CapEx and OpEx Costs

Operational costs are always a focus for companies. To reduce costs there is a need for a framework which can reduce operational complexity and cost, manage increased scale of real-time data delivery to meet market demands, and assure data access control and security. The key to success is deploying a framework, like Diffusion Cloud, that can easily and reliably scale up and down as required and also deliver data with optimal efficiency using data deltas and compression algorithms to reduce bandwidth usage.

Diffusion Cloud securely consumes data from any source then provides a flexible model to organize and hyper-personalise granular data. Its real-time event broker with intelligent queuing and patented delta-streaming protocol can save businesses 90% in bandwidth costs.

Connecting, Transforming and Delivering Real-time Data

Technology providers are looking to introduce solutions which reduce bandwidth and infrastructure requirements for customers to enable lower day-to-day operational costs, less system stress during peak events, and reduced support costs. However, many providers still use systems built on open source technology, which was good to get the framework up and running, but is now restrictive in terms of scalability and functionality. The reality is that legacy technologies are not smart and send too much data to too many people unnecessarily, which is inefficient and expensive. Peak events will frequently cause massive loads on infrastructure and increase bandwidth needs.

Streaming technologies need to be aware of data usage to minimise bandwidth requirements. In order to manage and transmit deltas or changes to data, the framework must have the capability to know what has been sent, when it was sent, and to whom it was sent. These features allow companies to enhance their applications and expand revenue opportunities.

Diffusion Cloud addresses the demanding needs of vendors where handling scale, performance, regulatory requirements, disparate geographies, and infrastructure efficiency, are vital to business success.

Personalisation

One of the key differentiators for many companies is to offer a personalised experience. There is a business need to anticipate customer desire based on their actions. Responding to customers in a personalised manner can move the goal posts away from churn and towards customer retention and increased engagement. When a customer engages with a site it is critical that they can easily choose options which address their specific requirements. To do this you need to be able to connect to a variety of data sources. In the past, this meant engaging in a drawn out, expensive data integration project. Today, companies can use a data framework to save time.

This is when solutions like Diffusion Cloud become a necessity. It is purpose-built to oversee the unique, real-time data ingestion, processing, and delivery challenges among data sources, applications, users, and devices for companies.

In summary, Diffusion Cloud will:

Seed development and shorten go-to-market time for new offerings
Control and secure event-data flowing to and from millions of online customers
Reduce development and ongoing operational costs; simplify deployment
Assure regulatory compliance for geographic expansion; and
Deliver personalised and enriched individual experiences.

Industry Recognition

Last year, Diffusion Cloud won the “Cloud Data Management Solution of the Year” award at the Computing Cloud Excellence Awards. It was also shortlisted for awards at the TradingTech Insight Awards – Europe, Data Management Insight Awards – Europe, CloudX Awards, EGR B2B Awards, Data Management Insight Awards – USA, EGR North America Awards, SBC Awards North America, and the Trading Tech Insight Awards – USA.

About DiffusionData
DiffusionData (formerly Push Technology) is a pioneer in the world of real time data distribution. The company provides infrastructure software to customers that use fast-moving data streams. The software is delivered as a cloud, on-premise or hybrid solution to companies worldwide, in sectors such as financial services, eGaming, retail, transportation, health, defence and digital media.

DiffusionData empowers organisations to connect, transform, and deliver data instantaneously, supporting informed decisions and driving business innovation in an ever-evolving digital landscape. Serving personalized low-latency data to millions presents a difficult scaling issue that DiffusionData can solve.

The DiffusionData team has the expertise that matters – merging business and technology insights to create world-class solutions. Learn more at www.diffusiondata.com.

Amazon Web Services

DiffusionData Joins AWS Partner Network

Published

6 months ago

November 20, 2023

GamingAmericas.com

DiffusionData, the pioneer and leader in real-time data streaming and messaging solutions, today announced that it is now a fully-fledged member of the AWS Partner Network (APN) – a global community of partners that leverages programs, expertise, and resources to build, market, and sell customer offerings. As an APN member, DiffusionData joins a global network of 100,000 partners from more than 150 countries working with AWS to provide innovative solutions, solve technical challenges, and deliver value to customers.

Earlier this year, DiffusionData launched Diffusion 6.9 on Amazon Web Services (AWS) Marketplace, the managed software catalogue that allows businesses to easily access, install and invoice software from trusted, independent vendors. By listing through the AWS Marketplace, organizations that use AWS can streamline the purchase and deployment of Diffusion, giving development teams a simplified way to deploy the framework into their environments.

Andrey Nikishin, Senior Cloud Product Manager at DiffusionData, said: “Our inclusion in the APN and its availability in AWS Marketplace means AWS customers can scale their platform exponentially at lower TCO. Installing a Diffusion Server from the AWS Marketplace is simple – set a couple of options, click a button, and the Diffusion Server will be up and running in the customer’s account. By hosting Diffusion on AWS, we improve the quality of customer experience, as well as provide an opportunity to save money on infrastructure.”

DiffusionData completed the comprehensive AWS Foundational Technical Review (FTR) to validate the enterprise readiness of its intelligent data framework. The FTR is administered by AWS and helps AWS Partners identify AWS Well-Architected best practices specific to their software or solution as established by the AWS Well-Architected Framework for aspects such as security, operational excellence, and sustainability.

DiffusionData’s framework is used by companies worldwide in sectors such as financial services, eGaming, retail, travel and transportation, health and digital media sectors. The framework is purpose-built to simplify and speed data-driven, real-time application development, reduce operational costs, and economically deliver hyper-personalised data. By offering integration with the flexibility and scalability of AWS and pay-as-you-go pricing, businesses can greatly reduce complexity and significantly accelerate their real-time data streaming strategies.

Nikishin concluded: “The deepening of our relationship with AWS recognizes the widespread adoption of their technology by our customers and our desire to make our solutions as accessible as possible. By completing the AWS Foundational Technical Review, we empower customers by opening the door to new services and solutions that accelerate their digital transformation strategies by gaining access to state of the art real-time data streaming technology.”

Diffusion is available here on the AWS Marketplace.

Diffusion 6.10

DiffusionData Releases Diffusion 6.10

Published

8 months ago

September 12, 2023

GamingAmericas.com

DiffusionData, the pioneer and leader in real-time data streaming and messaging solutions, today announced the release of Diffusion 6.10. The latest developer-centric enhancements to the framework aim to free up resource, speed and simplify development and reduce operational costs.

Riaz Mohammed, CTO at DiffusionData, said: We spend a lot of time speaking to developers and architects about how we can improve our framework, what do they need that we’re not providing and what can we do better. This latest release is mainly based on the feedback we’ve received. The enhancements address architectural and technical challenges many of our customers face on a daily basis. We are very grateful for the community and client input we get which helps us to further strengthen our market position as a global leader in real-time data streaming.”

Enhancements in Diffusion 6.10 include:

Floating Point Support in Topic Views

Many businesses use decimal or floating point numbers in their data, Diffusion’s Topic Views feature now supports floating point numbers in all clauses. This particularly applies to the ‘process’ transformation which now has support for setting floating point numbers and using them in calculations. This includes the ability to specify the scale (the number of places after the decimal point) and the rounding policy to use in calculations.

Conditional Update and OR Operator Constraints

Using Diffusion it is possible to specify constraints when updating a topic, either directly or using an update stream. One of these constraints is checking the current value of the topic before applying the update. Until now, the only constraint possible on a value was an exact binary equality comparison with the current value. Following a client request, you can now update topics from many different sources and still maintain the order.

6.10 has been extended to support relational comparisons, such as ‘greater than’, ‘less than’ etc. The values specified do not have to exactly match the type. For example, you can specify that the update is only applied if the current value is less than five and this would work with integral or floating point values. It would also work against a string value containing a number.

Previously it was possible to compose update constraints using an and method so that the update would only be applied if a lock was held and the value was equal to a specified value. In 6.10, you can also use an or method to compose constraints along with and so that an update is only applied if there is no topic, or the topic has no value or the value is less than five.

Ability to Retrieve Metrics using the API

Metrics provide valuable insights into how the system is performing and allows users to tune their installation accordingly. Previously, metrics have been available through Prometheus or viewable via the Diffusion Console. In 6.10 you can also retrieve metrics via the API.

This is achieved using a new metricsRequest method in the metrics feature which returns an object which you can configure and then issue a fetch request to return the required metrics. By default it will return all metrics for all servers in a cluster, but it is possible to request only metrics for the current connected server or for specified servers. Users can also filter metrics so that the result only contains the metrics you are interested in. Providing metrics access in the API allows users to build metric monitoring into their own applications.

Update Stream Recovery

Clustered server architectures are ideal for availability but present issues when the shape of the cluster changes (such as adding a new server). This feature allows applications to seamlessly recovery from blips in the cluster. Previously, they would have to code applications to be resilient to these issues. In essence, less code for the user to write and maintain.

If a Diffusion cluster repartitioned whilst clients were updating, a transient error would occur and the update stream would be invalidated. The updating application would need to be coded to recover from such an eventuality. In 6.10, it is possible to specify a retry strategy and a new RecoverableUpdateStream is created. This stream keeps in flight updates and is able to reapply them when a transient cluster error occurs, reducing the complexity of the calling application.

REST API to Manage Gateway Framework

Gateway Framework allows simple integration with countless external systems. The previous gateway applications were managed in real-time using the Diffusion console. The addition of REST API management means that such applications can be managed programmatically from within the user’s own applications. A REST API user authenticates using a Logon call and is returned a token which it can use to make subsequent REST calls to manage the Gateway.