Glu: Next Generation Technology
GluPlatform provides a comprehensive suite of business applications built around a single core GluFoundation. This has come out of a three-year R&D project entirely funded by Capventis and leverages our experience in designing and implementing operational systems, analytical and data management solutions. The result is truly next-generation patent-pending technology and is introducing a new level of power and flexibility, from the database up. It is designed to facilitate the needs of today’s business world as well as to offer innovation and possibilities for how organisations and people manage and interact with their data. Glu is entering a Beta period with select customers and is expected to become available to the market in 2024.
GluSystems begins operations in 2024
Software provider of Glu – In partnership with Capventis
Glu projects delivered by Capventis since 2016
Connect
Operates at any level in the network stack
Glu can operate at any level in the network stack; from raw binary through to commonly used higher-level protocols such as SOAP, REST and GraphQL. Glu also connects directly to all common databases. With an advanced and highly-concurrent processing engine, Glu provides a flexible, secure and scalable link between systems.
Provides system-level connectivity
At its simplest, Glu provides connectivity between systems: system “A” needs to receive data from system “B”. In order to do this, however, things often become more complicated as services need data in different formats, use different protocols or even different network technologies. Glu enables system-level connectivity by handling all of these lower-level issues while providing an extremely capable processing block to perform any data transformations required.
Validate, remap & post data
Additionally, Glu exposes service interfaces of its own, including inter-alia: GraphQL, HTTPS, SFTP, SMTP, NATS and REST. A typical client example might include dropping a file into Glu’s in-built SFTP server, and as soon as the upload completes, Glu validates the data, remaps it, and posts it over HTTPS to a REST end-point.
Pull data from multiple systems
Processing components can pull data from multiple systems, or receive information in real-time. The core engine supports both serial and concurrent processing and has a comprehensive service dashboard that can highlight performance issues or help define platform improvements.
Streamline
No more duplication of data issues
Clients often want to keep data in-place but need access to it as part of normal operational activities. This results in a conflicting set of requirements: services that need data have to obtain and store it – resulting in duplication and potential synchronisation issues. Glu helps to reduce these issues, keeping data in place or transporting only the fields required.
Highly resilient environment supporting massive scalability
In some cases, Glu maintains a log of delta-changes and revalidates data sets on a scheduled basis, this removing any synchronisation errors that may have occurred. This process provides a highly resilient environment that supports massive scalability where required.
Reduces network load
Glu also provides a GraphQL wrapper around numerous SaaS platforms, allowing single queries to run concurrently across multiple systems. By implementing a GraphQL interface, services only receive the data requested, instantly reducing network load.
Maintain data referential integrity
For other protocols, Glu can merge, extract or process information both serially or in parallel. It can maintain data referential integrity and operate within mixed-security-model environments.
Reduce operational costs dramatically
To reduce network and system overheads, Glu has a powerful adaptive replacement cache, with both least frequently and least recently used options available. Where applicable, this cache provides significant performance improvements and further reduces network overheads. For cloud services with charges levied for data transfers, Glu’s caches and GraphQL mechanisms can reduce operational costs dramatically.
Automate
Glu has an extremely powerful automation engine.
Glu has an extremely powerful automation engine. Written in Go, this engine can process data at high speed while supporting service rate-limits, handling network outages, and other service events that would otherwise cause issues for automation processes.
Extensible Java/Type-script engine
With its extensible Java/Type-Script engine, Glu can provide an extremely flexible way to wrap entire services and access them via simple high-level commands. The underlying Go code then handles all common issues including network outages, authentication and security and service rate-limiting. This is particularly important when integrating cloud services to internal networked systems. In most cases, cloud services have an account-level rate limit of ‘n’ records per second. Glu throttles traffic to remain within these limits on a per-record, per-connection or per-service basis.
Glu can link directly to data sources
Where necessary, Glu can employ ‘mid-process’ databases via an in-built SQL database, or graph database. Glu can also link directly to data sources (all major SQL, No-SQL, Big Data, Key/Value and Graph databases) to provide seamless automation between extant and new systems.
Full service profile dashboards
Glu’s automation services also provide full service profile dashboards and can run within enterprise service management/reporting tools.