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Cloud-Native Engineering: AWS, Kubernetes, Go and kdeps
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$49.00
$99.00
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This track includes the following 4 courses...
These courses have a total suggested price of $526. Get them now for only $49.00!
About
About the Track
Certificate
Verified Certificate
When you successfully complete the Track, you will receive a verified Certificate of Completion from Leanpub, certifying that you have completed the entire Track.
Courses
Courses Included
AWS in Production: The Course
Build and operate real serverless and container systems on AWS, from DNS to CI/CD.
AWS in Production
Build and operate real serverless and container systems on AWS, from DNS to CI/CD.
What You'll Learn
✔ Route traffic with Route 53 and build APIs with Lambda and API Gateway
✔ Orchestrate workflows with Step Functions
✔ Manage infrastructure as code (Serverless Framework, CDK, SST, Terraform)
✔ Secure access with IAM, JWT, Secrets Manager and KMS
✔ Use S3, SNS, SQS and DynamoDB
✔ Run containers with ECR, Docker and ECS
✔ Monitor with CloudWatch dashboards, alarms and Insights
✔ Deploy from GitHub Actions
Who Is This Course For?
Backend and DevOps engineers who need to run real workloads on AWS.
Prerequisites
Programming experience and basic command-line skills. An AWS account helps for following along.
Why This Course?
Services are taught as parts of one production system, with security, observability and deployment built in rather than bolted on.
How It Works
- 21 chapters, each ending with a 5-question multiple-choice quiz (3 attempts, best score counts)
- A 20-question final exam covering the whole course
- 125 quiz questions in total
- Score 70% to pass; 85% or more earns honors
- Pass to receive a certificate of completion
Written by Joel Bryan Juliano.
Kubernetes for All: The Course
Provision, deploy and operate a full Kubernetes platform from scratch with one well-built Bash script.
Kubernetes for All
Provision, deploy and operate a full Kubernetes platform from scratch with one well-built Bash script.
What You'll Learn
✔ Structure a production-grade Bash codebase: safety settings, exit codes, locking, logging and config
✔ Create and manage local kind clusters
✔ Build images and run Docker operations
✔ Deploy with kubectl and package with Helm
✔ Provision, reload, recover and tear down a whole platform
✔ Run GitOps with ArgoCD
✔ Add metrics and dashboards with Prometheus and Grafana
✔ Trace requests with OpenTelemetry
Who Is This Course For?
Developers, DevOps and platform engineers, and students who want to understand Kubernetes by building and operating a real environment end to end.
Prerequisites
Comfort with a terminal and basic shell commands. Docker installed locally. No prior Kubernetes experience required.
Why This Course?
Instead of isolated snippets, you follow one complete datacenter.sh tool from first line to GitOps and observability, so every concept lands in working code.
How It Works
- 21 chapters, each ending with a 5-question multiple-choice quiz (3 attempts, best score counts)
- A 20-question final exam covering the whole course
- 125 quiz questions in total
- Score 70% to pass; 85% or more earns honors
- Pass to receive a certificate of completion
Written by Joel Bryan Juliano.
Distributed Systems in Go: The Course
Build Go services that communicate, fail and recover, ending with one complete distributed system.
Distributed Systems in Go
Build Go services that communicate, fail and recover, ending with one complete distributed system.
What You'll Learn
✔ Understand the cost of coordination and when to distribute
✔ Use Go concurrency as distributed systems in miniature
✔ Build HTTP services, middleware and JWT auth across services
✔ Propagate context across service boundaries
✔ Work with Kafka: backpressure and consumer groups
✔ Make gRPC calls with retries and circuit breakers
✔ Handle consistency, observability, config and secrets
✔ Test distributed systems and assemble a capstone system
Who Is This Course For?
Go developers and backend engineers moving from single services to systems of cooperating services.
Prerequisites
Working knowledge of Go basics (types, functions, goroutines). Familiarity with HTTP and databases helps.
Why This Course?
Each chapter grows the same codebase, so you see how queues, RPC, consistency and observability fit together in one running system.
How It Works
- 15 chapters, each ending with a 5-question multiple-choice quiz (3 attempts, best score counts)
- A 20-question final exam covering the whole course
- 95 quiz questions in total
- Score 70% to pass; 85% or more earns honors
- Pass to receive a certificate of completion
Written by Joel Bryan Juliano.
AI Appliances: The Course
Build and deploy autonomous AI agents and multi-agent agencies in YAML with kdeps.
AI Appliances
Build and deploy autonomous AI agents and multi-agent agencies in YAML with kdeps.
What You'll Learn
✔ Understand AI appliances and kdeps core concepts
✔ Build in workflow mode and agent mode
✔ Use LLM, data and knowledge resources
✔ Automate the browser and validate API responses
✔ Compose components and multi-agent agencies
✔ Configure sessions, CORS and route restrictions
✔ Deploy with Docker, Kubernetes, a standalone binary or web server mode
✔ Validate, debug, iterate and handle errors with onError
Who Is This Course For?
Developers and engineers who want to build and ship AI agents without writing a large application stack.
Prerequisites
Comfort with the command line and YAML. Docker experience helps for the deployment chapters.
Why This Course?
It covers the whole path from a first workflow to deployed, multi-agent systems, with real-world examples and an LLM server appliance.
How It Works
- 26 chapters, each ending with a 5-question multiple-choice quiz (3 attempts, best score counts)
- A 20-question final exam covering the whole course
- 150 quiz questions in total
- Score 70% to pass; 85% or more earns honors
- Pass to receive a certificate of completion
Written by Joel Bryan Juliano.
Instructor
About the Instructor
Joel Bryan Juliano
Hi, I'm Joel.
I am Dutch-Filipino Software Engineer with 20+ years of experience.
And with over 20 years in the game, I’ve seen it all and loved every minute of it.
My journey has taken me through a variety of industries, from sports streaming to cybersecurity, both in the private sector and for the Dutch government, and everything in between.
Along the way, I’ve picked up a diverse set of skills and experiences, in which I document into books.
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