Efficiently Modernizing Government Data Environments

How can government enterprises modernize their data infrastructures efficiently to advance their digital ambitions when they must contend with IT environments that are highly heterogeneous, siloed, and populated with hard-to-access, legacy systems? Agencies respond to this challenge in various ways. Some simply disregard high value data sources when fielding new applications, because they lack the know-how or resources. Others continue to invest in expensive and time consuming point-to-point integrations, using legacy integration tools or custom code. These approaches fall short because they are neither scalable nor responsive to agencies’ evolving needs.

Confluent can connect to any data source, whether mainframe or other legacy systems, cloud-based storage and applications, or even real time data. This can be within the agency enterprise or beyond. Once a connection to a data source has been established, it can be reused and recombined with other sources to rapidly create new applications and user experiences. With this decoupling of sources and targets, Confluent relieves agencies of the time and resource-intensive chore of building point-to-point integrations every time they build a new application. This decoupling is also why Kakfa has become pervasive as the data plane for microservices strategies.
This architecture gives agencies the ability to gradually re-platform as their priorities and resources permit. Confluent can pull legacy-based data into modern applications, either in the cloud or on-premise, thus presenting a path for agencies to eventually remove or replace those legacy systems. Robust data replication ensures that users aren’t impacted and data is not lost in the event of an outage. Critically, the data event streams persist in Confluent for as long as desired making it possible to marry historical data to real time in order to produce rich contextualized applications. Persistence also provides a crucial resilience for applications deployed into environments with limited or intermittent connectivity, or when surges in data volumes overwhelm ingest capacity of systems.

By clicking 'Download Now' you agree to our Terms of Use. We take your privacy seriously. For more information please read our Privacy Policy. By registering with the Enterprise Guide you will automatically receive our weekly Product Update and Technology Insider eNewsletters.

Copyright 2021 Enterprise Guide. All Rights Reserved. Terms of Use | Privacy Policy