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Confluent Platform
by Confluent
by Confluent
Profile Information Last updated on: 22 August 2024
Profile Information Last updated on: 22 August 2024
We help make selecting a software for your business effortless, economical and efficient.
by Confluent
by Confluent
Profile Information Last updated on: 22 August 2024
Profile Information Last updated on: 22 August 2024
Planning and Assessment:
Duration: 1-2 weeks
Activities: Define the scope, objectives, and requirements of the implementation. Assess the current infrastructure and identify any gaps or necessary upgrades.
Architecture Design:
Duration: 1-2 weeks
Activities: Design the architecture for the Confluent Platform deployment, including data flow, integration points, and security measures. This step involves creating a detailed plan for how the platform will be integrated with existing systems.
Installation and Configuration:
Duration: 1-2 weeks
Activities: Install the Confluent Platform software on the designated infrastructure. Configure the platform according to the architecture design, including setting up Kafka clusters, connectors, and other components.
Integration and Testing:
Duration: 2-4 weeks
Activities: Integrate the Confluent Platform with existing systems and applications. Conduct thorough testing to ensure that data flows correctly and that the platform meets performance and reliability requirements.
Training and Documentation:
Duration: 1-2 weeks
Activities: Provide training for the team responsible for managing and using the Confluent Platform. Create documentation to support ongoing operations and troubleshooting.
Go-Live and Monitoring:
Duration: 1 week
Activities: Transition the platform to production. Monitor the system closely to ensure it operates as expected and address any issues that arise.
Optimization and Scaling:
Duration: Ongoing
Yes.
Custom Connectors:
Confluent provides a variety of pre-built connectors, but users can also customize these connectors to meet specific requirements. For instance, users can modify the HTTP Sink Connector to suit their needs, although the source code for some connectors may not be available due to licensing restrictions.
Plugins for Confluent CLI:
The Confluent CLI supports plugins, which are standalone executable files that extend the functionality of the CLI. These plugins can be written in any programming language and can be used to automate complex workflows or add new commands. This allows businesses to tailor the CLI to their specific operational needs.
REST APIs:
Confluent offers a comprehensive set of REST APIs that allow users to interact with various components of the platform, such as Kafka clusters, Schema Registry, and more. These APIs enable integration with other systems and custom application development.
Confluent for Kubernetes (CFK):
CFK provides a cloud-native management control plane for deploying and managing Confluent Platform in private cloud environments. It supports customization through declarative APIs, allowing users to configure, deploy, and manage Confluent components using Kubernetes custom resources (CRDs).
Advanced Configuration Options:
Users can override default configuration parameters for Confluent Platform components. This includes server settings, JVM options, and log4j configurations. These overrides can be specified in the component custom resource configuration, providing flexibility in how the platform is deployed and managed.
Schema Registry and Serialization Formats:
Confluent's Schema Registry supports multiple serialization formats, including Avro, Protobuf, and JSON Schema. Users can also add custom schema formats as plugins, allowing for extensive customization of data serialization and deserialization processes.
Security Customizations:
The platform includes robust security features that can be customized to meet specific business requirements. This includes role-based access control (RBAC), integration with AD/LDAP for identity management, and encryption for secure data streaming.
Monitoring and Management:
Confluent provides tools like Control Center for monitoring and managing Kafka clusters. These tools can be customized to fit the specific monitoring and management needs of an organization.
Custom Service Accounts:
For Confluent Cloud (their managed cloud service):
For self-managed deployments of Confluent Platform:
In terms of maintenance and support:
Free Learning Resources:
Confluent provides free courses, tutorials, videos, quick starts, and other resources to help beginners get started with Apache Kafka and core data streaming concepts.
Instructor-led Training:
Confluent offers hands-on, instructor-led training courses covering different roles and skill levels, such as the 3-day "Apache Kafka Developer Training" and "Apache Kafka Operations Training".
These courses are available both in-person and online, taught by experts from Confluent.
On-Demand Training:
For more flexibility, Confluent provides self-paced, on-demand training that combines modular training videos and live virtual labs.
Courses like "Apache Kafka Developer Training" are available in this on-demand format.
Certification Programs:
Confluent offers certification programs to validate expertise in Apache Kafka, such as the "Certified Developer for Apache Kafka" and "Certified Administrator for Apache Kafka".
Data Encryption:
Authentication:
Authorization:
Secret Protection:
Auditing:
LDAP/AD Integration:
Private Networking:
Confluent Cloud:
Confluent Platform:
Data Ownership:
Data Portability:
Scaling Up:
Adding Brokers: To scale up a Kafka cluster, new brokers can be added. This involves defining the configuration for each new broker, provisioning storage, networking, and compute resources, and starting the brokers with the defined configurations.
Scaling Down:
Automated Scaling:
Contract Renewal:
Confluent Platform subscriptions automatically renew for additional periods of the same duration as the initial term, unless either party requests termination at least 30 days prior to the end of the current term.
For example, if the initial subscription term was 1 year, it will automatically renew for successive 1-year renewal terms unless proper notice of non-renewal is given.
Contract Cancellation:
Either party can terminate the Confluent Platform subscription agreement by providing at least 30 days' written notice prior to the end of the current term.
If the customer cancels mid-term, they are still obligated to pay the fees for the remaining portion of that term.
Confluent may suspend or terminate the customer's access to Confluent Platform if payment is over 30 days late after providing a 7-day cure period.
Upon termination, the customer must immediately cease use of Confluent Platform software and delete/remove all copies.
Data Portability:
Confluent supports the data portability rights outlined in GDPR, allowing customers to request transfer of their data to another provider upon termination.
SOC 2 Compliance
FIPS 140-2 Compliance
ISO 27001 Certification
HITRUST Certification
GDPR and CCPA Support
Other Industry Standards