3. Do not exclude on-premises
Despite the enthusiasm for cloud services, budget constraints and potentially high up-front costs associated with moving to the cloud may force some government agencies to pause technology investments. that’s ok. Some database workloads perform better in the data center, and moving to the cloud can break things that don’t need to be fixed.
Additionally, some sensitive information may be best kept on-premises. For example, an agency that collects sensitive information (such as data on possible criminal investigations) may wish to keep such information close to home for security reasons.
For these reasons, and with inflationary pressures pushing pay-as-you-go cloud models, on-premises solutions will continue to play an important role in 2023.
4. Ensure observability to hybrid environments
Whether government agencies choose to use cloud-hosted databases or on-premises database and storage services, cost, performance, and efficiency concerns remain paramount.
To ensure that databases are fully optimized to unleash the full potential of deep learning, IT professionals can centrally manage their technology environments, whether on-premises, hybrid, or multi-cloud. need to be visualized. Observability enables teams to discover, map, and understand data assets, making it easier to ensure that data is highly available and applications and operations are operating efficiently.
Providing better citizen services means improving public services and making life easier for local residents. Deep learning can help government agencies achieve both objectives. In short, we can provide government agencies with the ways to transform their operations and the intelligence they need to exceed public expectations.
