Product Datasheet

INDUSTRY
TYPE OR URL
GOVERNMENT

Confluent Public Sector

Confluent Public Sector- knows government missions are driven by a constant stream of events, and that success depends on the ability
to react as quickly as possible. Confluent offers an enterprise event streaming platform built by the original creators of Apache Kafka®.
Confluent enables government agencies to utilize data as a continually updating stream of events, rather than discrete snapshots. Run
your agency by building real-time applications with historical context - all based on a universal event pipeline.

The Confluent Platform Provides a Universal Event Pipeline Enabling Contextual Driven Apps

Contextual Event-Driven Apps
Situational
Awareness

Readiness
Reporting

Real Time
Citizen 360

MachineLearning Models

Real-Time Data
Transformation

Real-Time Fraud
Detection

STREAMSCONNECT

Main-frames

HadoopDATA STORE S

CLIENTS

Data Warehouse

Device Logs

SplunkLOG S

3RD PART Y A PP SAppMicro-Service

Universal Event Pipeline1© 2023 Confluent, Inc. | Confluent.io1

Datasheet | Confluent Public Sector

Confluent Platform Options
Sensor Data Collection and Processing

Central Nervous System

Organizations across the government are leveraging Kafka tohandle real-time feeds of sensor data. By publishing streams ofevents, they enable faster mission response, and multi-source
data fusion. Disparate teams can deploy algorithms for detection
and analysis and publish their results for others to consume
and act on. Sensor data can span everything from telemetry to
traditional SIGINT.

Achieving the unfulfilled vision of the Enterprise Service Bus (ESB)
is now a reality with modern technical architecture. Enterprisedata flows through Kafka from sources of truth to the many
downstream consumers. This eliminates the complexity of point
to point integration. Lyft, Uber, Linkedin, Netflix and many otherorganizations deploy and manage Kafka clusters to provide accessto all the real-time data that a digital organization needs.

Data Ingest Pipeline

Cyber Data Collection and Dissemination

Kafka often serves as an ingestion pipeline and buffer for specificdata sinks such as relational databases or ELK. Often times
applications, databases, or indexes have trouble keeping up withingestion rates particularly with spiky traffic patterns that canlead to dropped data. Kafka buffers incoming data until tools
have a chance to catch up.

This is now one of the fastest growing usage patterns
withConfluent - Cyber Data (network events, log events, etc.)
flow into Kafka, which then feeds into one or more tools likeSplunk, ArcSight, or Elastic, Logstash and Kibana (ELK). In
addition, real-time analytics, processing, and alerting takes
place directlyagainst the streaming data. This brings countlessadvantages such as allowing usage of best of breed tools, cost
reduction by stratifying data and the tools used for them (asubset into Splunk but a large amount in ELK), and enabling a
hub/spoke distributed method of handling data.

Legacy Messaging Modernization
The traditional notion of publish and subscribe, to decouple andenable asynchronous communication, remains a useful modelfor numerous applications. Legacy messaging technologies,
however, have a number of limitations.With its modern, distributedarchitecture, Kafka delivers performance, massive scale, durability
and availability. Kafka’s ability to persist data also enables
simplified data distribution and retroactive mission processing.

Digital Modernization of Citizen Engagement
Confluent’s event streaming platform gives Government agencies
the ability to interact more meaningfully with citizens over thecourse of their lifetime. Opportunities for improvements include
a richer website experience, faster processing and vetting ofapplicants, rapid identification and action against fraud, fasterenrollments or registration, and greater transparency. By
accelerating these important functions, even performing them inreal-time, Confluent Platform is designed to transform the natureof Citizen Engagement.

Data Distribution and Replication
Confluent replication, built on top of Kafka, gives a reliable andflexible way to replicate data thereby ensuring high data fidelity.
This can be hub and spoke, where there is edge data collection/
processing and a central aggregation. It could be simple data centerto data center replication. It’s particularly useful in environmentswith multiple applications or tools that require the data.

Hybrid Cloud and Replatforming
Kafka provides an on-ramp to migrate to a modern architectureby building a persistent bridge between data center and cloudwith Confluent Replicator. Data can flow into Kafka from legacy
systems and be distributed to numerous new applications. Legacy
and new platforms can co-exist until the time the legacy system istaken offline. This is a common pattern for mainframe customers.

Efficent operations at scale

Unrestricted developer productivity

Minimize operational complexity while ensuring high performanceand scalability as event streaming grows through yourorganization.

Democratize Kafka for a wider range of developers and accelerate
how fast they build event streaming applications.

Freedom of choice

Architect the platform with the foundational enterprise-level
attributes needed to implement event streaming in production.
Confluent makes it easier to develop, deploy, secure and operate
at enterprise scale.

Deploy on-premises, in public or hybrid cloud, from bare-metal
to Kubernetes, or leverage a fully managed cloud service withConfluent Cloud.

Production-stage prerequisites

Committer-driven expertise
Leverage the world’s foremost Kafka experts, who work directlywith Kafka committers to assist you throughout the application
development lifecycle.

Ready to get started? Contact a Confluent expert today
Email us at publicsector@confluent.io Or visit www.confluent.io/government/ for more details© 2023 Confluent, Inc. | Confluent.io2