Access Our Library of In-Memory Computing Resources
GridGain produces a wide selection of resources that can help you understand how our in-memory computing platform can fit within your existing or new architectures. Whether your organization needs to speed up and scale out an existing application or you are focused on the development of a new, modern application architecture, our resources can help you understand how GridGain can help. Select from our extensive library of white papers, webinars, case studies, application notes, ebook and more.
Resources
Learn how to use an in-memory computing platform like Apache® Ignite™ and GridGain to develop high performance and highly scalable mobile apps in this webinar.
The Insurance industry is undergoing significant changes. In addition to economic and political uncertainty, insurers face investment income pressure from low interest rates. Coupled with this are the challenges of social and regulatory changes based on new customer expectations and government and employer policies.
Internet of Things (IoT) initiatives in financial services require greater performance and scalability than existing database architectures allow. This webinar will explain how to use the GridGain in-memory computing platform to overcome the performance and scalability limitations of existing data infrastructures in order to build successful IoT solutions in financial services.
Service-oriented architectures (SOAs) are used to build flexible, independently deployable software systems. Microservices decompose services down to small pieces and use lightweight protocols to allow processes to communicate with each other over a network. This architectural approach is becoming increasingly popular, especially in high-availability systems. However, microservices-based solutions can become victims of their own success as greater and greater demands are placed on the systems that use them.
The financial technology (fintech) industry is exploding. More than $35 billion has been invested in fintech companies since 2011, with investments doubling year after year. Fintech is now at the core of financial transactions, payments, lending, compliance, risk management, cybersecurity and more. While some fintech companies provide solutions to the financial services industry, many fintech companies now compete directly with traditional financial services companies – bringing big returns to their investors.
The payments industry is being disrupted. Mobile payments, instantaneous payments and embedded payments are changing the way consumers interact with their financial institutions. The current payments paradigm requires financial services and fintech companies to upgrade their digital infrastructure to support processing transactions in a low-latency, scalable and secure manner.
In-memory data grids bring exceptional performance and scalability to applications built on top of them. Applications can achieve a 1000x performance improvement and become automatically scalable and fault-tolerant thanks to the data grid architecture. However, the majority of data grid architectures sacrifice traditional SQL support, requiring application developers to completely rewrite their SQL-based code to support data grid specific APIs.
The Apache® Ignite™ in-memory computing platform enables you to dramatically accelerate and scale out your existing data-intensive applications without ripping and replacing your existing databases. You insert Apache Ignite between your application and database layers to significantly accelerate your existing solution’s overall performance. The Apache Ignite Web Console, an interactive management and configuration tool for Apache Ignite, provides an automated way to accomplish the following:
Software and Software-as-a-Service (SaaS) developers face a rapidly escalating set of challenges as they strive to make applications faster and more scalable. Software developers must meet the performance and scalability requirements dictated by unprecedented numbers of internal and external users. The challenges faced by SaaS developers are even more dramatic as they create high-performance, hyper-scale services that provide quick response times even under a growing volume of users and data. Software and SaaS are being revolutionized by in-memory computing.
If your eCommerce initiatives are struggling to keep up with customer demand, then in-memory computing may be the solution you need to take performance and scale to the next level. Yesterday’s application and data architectures cannot achieve the speed and scale offered by in-memory computing. In addition, in-memory computing is more efficient than disk-based systems and can frequently be used to drive infrastructure consolidation projects and decrease costs.