Advanced Platform Engineering: Scaling with Microservices and Kubernetes Training Course

Confluent Apache Kafka serves as a distributed event streaming platform engineered for high-throughput, fault-tolerant data pipelines and real-time analytics capabilities.

This instructor-led training, available in online or onsite formats, is designed for intermediate-level system administrators and DevOps professionals tasked with the installation, configuration, monitoring, and troubleshooting of Confluent Apache Kafka clusters for government operations.

Upon completion of this training, participants will be equipped to:

• Analyze the components and architecture of Confluent Kafka.
• Deploy and manage Kafka brokers, Zookeeper quorums, and associated services.
• Configure advanced features, including security protocols, data replication, and performance tuning.
• Leverage management tools to monitor and maintain Kafka clusters effectively.

Course Format

• Interactive lecture sessions and facilitated discussions.
• Comprehensive exercises and practical drills.
• Hands-on implementation within a live-lab environment.

Customization Options for Government Agencies

• Agency personnel may contact the training provider to arrange customized curricula tailored to specific operational requirements for government use.

This instructor-led, live training session, delivered in US (online or onsite), is intended for developers and software engineers who seek to employ RabbitMQ for messaging-based communication between microservices, with a focus on advanced implementation and troubleshooting for government operations.

Upon completion of this training, participants will be equipped to:

• Configure the necessary environment to initiate the development of advanced messaging solutions utilizing RabbitMQ.
• Design distributed microservices architectures using RabbitMQ to support scalable public sector systems.
• Implement advanced configuration, security, networking, high availability, and replication strategies.
• Diagnose and remediate common issues arising during RabbitMQ installations.
• Apply techniques for memory optimization, flow control, and advanced performance tuning.
• Execute advanced troubleshooting techniques to ensure system reliability.

This instructor-led, live training in US (available online or onsite) is targeted at developers, integration architects, and system administrators who require proficiency in advanced integration patterns and techniques using Apache Camel for government systems.

Upon completion of this training, participants will be capable of:

• Understanding advanced integration patterns and techniques.
• Implementing complex routing and transformation processes.
• Optimizing performance and scalability parameters.
• Handling errors and exceptions in complex integration scenarios.
• Integrating Apache Camel with various technologies and platforms.

Apache Camel provides a comprehensive framework for enterprise application integration and routing operations. This course examines core concepts, including routing mechanisms, message transformation, error handling strategies, component connectors, Enterprise Integration Patterns, and transaction management. It guides practitioners through the practical configuration of route definitions, bean wiring, concurrency control, and monitoring techniques for government environments. This training equips professionals to design reliable communication layers for microservices, optimizing data workflows to support public sector operations and accountability.

This instructor-led, live training session in US (delivered online or onsite) is designed for developers seeking to acquire the skills necessary to construct, test, diagnose, and deploy APIs utilizing the Google Cloud Apigee platform.

Upon completion of this training, participants will possess the capability to:

• Configure a development environment containing all requisite resources for the initiation of API development.
• Analyze and apply the functional tools provided within Apigee Edge.
• Construct and deploy APIs to the Google Cloud infrastructure.
• Monitor API operations and diagnose error conditions.
• Utilize Google Cloud analytics and machine learning capabilities to enhance API intelligence.

Apigee Edge, a Java-based platform, facilitates the provision of secure access to organizational services through a standardized API that remains consistent across all service implementations, regardless of underlying infrastructure. A consistent API framework:

• Simplifies the consumption of services by application developers for government use cases.
• Permits modifications to backend service implementations without disrupting the public-facing API interface.
• Enables the utilization of integrated features such as analytics, monetization, and developer portals within the Edge platform.

Target Audience

This curriculum is designed for engineers, architects, and developers tasked with implementing Apigee Edge within federal, state, or local government projects.

Confluent Apache Kafka is a robust, distributed event streaming platform built upon the Apache Kafka framework. It is engineered to support high-throughput, fault-tolerant data pipelines and real-time streaming applications.

This instructor-led training, delivered either online or onsite, is designed for intermediate-level engineers and administrators seeking to deploy, configure, and optimize Confluent Kafka clusters in production settings. The curriculum is structured to meet the operational standards required for government environments.

Upon completion of this training, participants will be equipped to:

• Install, configure, and manage Confluent Kafka clusters utilizing multiple brokers.
• Design high-availability architectures using Zookeeper and replication techniques.
• Optimize performance, monitor key metrics, and apply effective recovery strategies.
• Secure, scale, and integrate Kafka within enterprise and public sector environments.

Training Delivery Format

• Interactive instructional sessions and facilitated discussions.
• Extensive practical exercises and skill reinforcement activities.
• Hands-on implementation tasks within a live laboratory environment.

Options for Tailored Training

• To arrange a customized training program for government or specific organizational needs, please contact our office to coordinate the details.

Istio is an open-source service mesh platform deployed on Kubernetes that facilitates secure, observable, and manageable connectivity among microservices. By utilizing Istio’s Envoy-based sidecar proxies, organizations can enforce governance policies, secure data exchanges via mTLS, achieve comprehensive traffic observability, and enhance system reliability for government and enterprise workloads.

This instructor-led training session, available in online or onsite formats, is designed for intermediate-level technical staff seeking to deploy, secure, and manage microservices applications utilizing Istio on Kubernetes.

Upon completion of this training, participants will demonstrate the ability to:

• Install and configure Istio within Kubernetes cluster environments.
• Apply service mesh concepts including traffic governance, security enforcement, and observability.
• Deploy microservices applications integrated with an Istio service mesh.
• Secure inter-service communications using mutual TLS (mTLS) and Zero Trust frameworks.
• Monitor, trace, and diagnose microservices using Prometheus, Grafana, and Jaeger.
• Integrate Istio with Calico to enforce advanced network policies and security controls.

Training Delivery Format

• Interactive instructional sessions and facilitated discussions.
• Extensive practical exercises and scenario-based practice.
• Hands-on implementation within a controlled live-lab environment.

Customization Options for Training

• Requests for customized curricula specific to agency needs should be directed to the training coordination team for arrangement.

This instructor-led, live training conducted at US (online or onsite) is targeted at intermediate-level Java developers seeking to design, develop, deploy, and maintain microservices-based applications utilizing Java frameworks such as Spring Boot and Spring Cloud. The curriculum supports the creation of resilient systems for government operations.

Upon completion of this training, participants will be equipped to:

• Exhibit a thorough understanding of microservices architectural principles and their benefits.
• Develop and deploy microservices using Java and Spring Boot.
• Implement service discovery, configuration management, and API gateway solutions.
• Secure, monitor, and scale microservices effectively.
• Deploy microservices in Docker and Kubernetes environments.

This curriculum is designed for enterprise architects, software developers, system administrators, and public sector professionals seeking to implement or utilize high-throughput distributed messaging systems. The course content may be customized for government operations to address specific administrative or technical requirements.

This instructor-led, live training in US (available online or onsite) is intended for beginner-level / intermediate-level / advanced-level system administrators and operations engineers seeking to utilize Apache Kafka for the deployment, security implementation, monitoring, and troubleshooting of Kafka clusters.

By the conclusion of this training, participants will be able to: explain Kafka architecture and KRaft mode, operate and secure Kafka clusters, monitor performance and reliability, and resolve typical production issues.

This instructor-led, live training in US (available online or on-site) is designed for intermediate-level developers focused on building big data applications with Apache Kafka.

By the conclusion of this program, participants will be equipped to:

• Develop Kafka producers and consumers for the effective transmission and retrieval of data.
• Establish data integrations with external systems via Kafka Connect.
• Create streaming applications utilizing Kafka Streams and ksqlDB.
• Link Kafka client applications with Confluent Cloud to support cloud-based infrastructure for government needs.
• Gain practical experience through applied exercises and real-world scenarios.

This instructor-led, live training, conducted in US (either online or onsite), is designed for intermediate-level Java developers. It focuses on integrating Apache Kafka into applications to achieve reliable, scalable, and high-throughput messaging capabilities for government systems.

Upon completion of this training, participants will be equipped to:

• Analyze the architectural framework and core components of Kafka.
• Deploy and configure a robust Kafka cluster environment.
• Execute message production and consumption processes using Java.
• Implement Kafka Streams for the processing of real-time data flows.
• Guarantee fault tolerance and scalability within Kafka-based applications for government use.

In this instructor-led, live training session conducted in US, participants will acquire the essential skills for constructing microservices utilizing Spring Cloud and Docker. Learning outcomes are validated through rigorous exercises and the systematic development of sample microservice components.

Upon completion of this program, participants will be capable of:

• Analyzing the core principles of microservice architecture.
• Employing Docker to engineer containerized environments for microservice applications.
• Implementing and deploying containerized microservices using Spring Cloud and Docker frameworks.
• Establishing integration between microservices, discovery services, and the Spring Cloud API Gateway.
• Conducting comprehensive end-to-end integration testing via Docker Compose.

This instructor-led, live training in US (online or onsite) is directed at intermediate-level developers and DevOps engineers seeking to build, deploy, and manage microservices using Spring Cloud and Docker.

Upon completion of this training, participants will be capable of:

• Developing microservices using Spring Boot and Spring Cloud frameworks.
• Containerizing applications with Docker and Docker Compose.
• Implementing service discovery, API gateways, and inter-service communication mechanisms.
• Monitoring and securing microservices in production environments.
• Deploying and orchestrating microservices using Kubernetes.