Public safety agency challenges
Public safety agencies face urgent challenges, including:
- Legacy technology that does not scale. Existing infrastructure and applications cannot accommodate the influx of data from new sources like video surveillance cameras and Internet of Things (IoT) sensors. Legacy applications tend to fail when transaction volume spikes—as it does when residents of fire- or flood-stricken areas flock to government websites looking for evacuation information.
- Rising citizen and worker expectations. Citizens expect interactions with the government—such as reporting a fire or paying a parking ticket—to be as simple as hailing a ride. First responders expect modern tools that help them do their jobs well and stay safe, such as real-time incident notifications and GPS.
- Resource constraints. While expectations are growing, budgets are not. In addition, long-time IT employees are retiring, and their potential replacements are looking for employers with modern IT tools and processes.
- Faster project timelines. To be responsive to new agency and citizen needs, software development timelines need to shrink from years or months to weeks or days.
IT trends in public safety
Leading public safety agencies are revamping IT infrastructure, application architecture, and processes to better protect people and property. Examples include:
- Smart cities. IoT data from cameras and sensors helps to increase situational awareness. Smart city initiatives require a data platform that can integrate various internal and external data sources and scale to store and analyze big data.
- Application modernization. Adapting old-style public safety applications for new requirements typically takes months or years. By refactoring applications to make them cloud-native, public safety agencies can add new features and integrate new data sources in days or weeks.
- Scaling for disaster-related communications. Extreme weather events (e.g., hurricanes, snow storms) underscore the need for reliable communications with residents. Communications infrastructure and applications need to withstand an onslaught of simultaneous hits from people seeking information.
Solutions: Red Hat Integration, Red Hat OpenShift, and Red Hat Process Automation Manager
Public safety agencies can build a hub for better, lower-cost services with Red Hat® Integration, a comprehensive set of technologies to connect law-enforcement databases, applications, and external data sources. Red Hat Integration helps agencies avoid vendor lock-in because it is built on open source software. You can deploy it on-premise or in a public cloud—on bare metal, on virtual machines, or in containers—and switch to another cloud whenever it makes sense.
Red Hat OpenShift® Container Platform helps agencies scale to accommodate more data (e.g., IoT) and more transaction volume (e.g., resident communications during disasters). Applications built on OpenShift Container Platform can be deployed on any cloud—and can be moved as needs change.
Red Hat Process Automation Manager provides the foundation for initiatives from congestion pricing to preventive maintenance, allowing agencies to develop cloud-based applications to automate business decisions and processes.
Red Hat in action: Local government Services Department
The large fire on the west coast that started a day earlier continued burning across mountains and freeways. Anxious residents bombarded the local government service department’s website, looking for information and evacuation instructions. Just months earlier, the volume likely would have taken down the website. Fortunately, the Services Department was conducting a proof of concept using Red Hat OpenShift Container Platform to host their website. Over the next couple of days, OpenShift scaled to accommodate an unprecedented deluge of website visits.
12 Hours after the fire started
Website volume spiked to 250% of normal volume as residents sought information on evacuation centers, animal shelters, and where to find displaced people. The ISD’s OpenShift team monitored CPU and memory load, confirming that the user experience remained good.
13 Hours after the fire started
During a television appearance, the local county sheriff advised residents to visit the county’s website for updates on the fire. The recommendation was amplified on Twitter. Five minutes later, website activity jumped to 450% of normal, and it continued climbing through the evening. The OpenShift team proactively increased CPU and memory resources.
14 Hours after the fire started
Most service department team members had left the office to take care of their families and homes. Working remotely, the Red Hat OpenShift team logged in to double the CPU and memory resources allocated to the web application. Over the weekend, the team continued to remotely monitor web application performance, allocating more resources as needed.
Outcome. For the duration of the fire, the local fire department was able to disseminate critical safety information to residents despite unprecedented communications volume.