Alex M.

Greater Chicago Area
2K followers 500+ connections

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About

Experienced cloud architect & software developer @ Google Cloud (ex AWS & AHEAD). Service…

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Experience & Education

  • Google

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Licenses & Certifications

  • Introduction to Data Science in Python

    Coursera Course Certificates

    Issued
    Credential ID RC3TWGMLYAPX

  • Amazon Web Services Certified DevOps Engineer - Professional

    -

    Issued

  • Amazon Web Services Certified Developer - Associate

    -

    Issued

  • Amazon Web Services Certified SysOps Administrator - Associate

    -

    Issued

  • Amazon Web Services Certified Solutions Architect - Professional

    -

    Issued

  • Amazon Web Services Certified Solutions Architect - Associate

    -

    Issued

  • Certified SAN Solution Architect (NCSA-SAN)

    NetApp

  • CLARiiON Solutions Specialist for Implementation Engineers

    EMC

  • VMware Certified Advanced Professional - Datacenter Design

    VMware

  • VMware Certified Profession 3.5/4/5

    VMware

    Credential ID VCP25769
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Publications

  • From multi-cluster edge to mesh: Globally distributed applications exposed through GKE Gateway and Cloud Service Mesh

    Google

    This reference architecture describes the benefits of exposing applications externally through Google Kubernetes Engine (GKE) Gateways running on multiple GKE clusters within a service mesh. This guide is intended for platform administrators.

    You can increase the resiliency and redundancy of your services by deploying applications consistently across multiple GKE clusters, where each cluster becomes an additional failure domain. For example, a service with a service level objective (SLO)…

    This reference architecture describes the benefits of exposing applications externally through Google Kubernetes Engine (GKE) Gateways running on multiple GKE clusters within a service mesh. This guide is intended for platform administrators.

    You can increase the resiliency and redundancy of your services by deploying applications consistently across multiple GKE clusters, where each cluster becomes an additional failure domain. For example, a service with a service level objective (SLO) of 99.9% when deployed in a single GKE cluster achieves an SLO of 99.9999% when deployed across two GKE clusters (1 - (0.001)2). You can also provide users with an experience where incoming requests are automatically directed to the least latent and available mesh ingress gateway.

    Other authors
    See publication

  • From edge to mesh: Exposing service mesh applications through GKE Ingress

    Google

    This tutorial shows how to combine Anthos Service Mesh with Cloud Load Balancing to expose applications in a service mesh to internet clients.

    Anthos Service Mesh is a managed service mesh, based on Istio, that provides a security-enhanced, observable, and standardized communication layer for applications. Whether you use Anthos Service Mesh, Traffic Director, or Istio, a service mesh provides a holistic communications platform for clients that are communicating in the mesh. However, a…

    This tutorial shows how to combine Anthos Service Mesh with Cloud Load Balancing to expose applications in a service mesh to internet clients.

    Anthos Service Mesh is a managed service mesh, based on Istio, that provides a security-enhanced, observable, and standardized communication layer for applications. Whether you use Anthos Service Mesh, Traffic Director, or Istio, a service mesh provides a holistic communications platform for clients that are communicating in the mesh. However, a challenge remains in how to connect clients that are outside the mesh to applications hosted in the mesh.

    You can expose an application to clients in many ways, depending on where the client is. This tutorial shows you how to expose an application to clients by combining Cloud Load Balancing with Anthos Service Mesh in order to integrate load balancers with a service mesh. This tutorial is intended for advanced practitioners who run Anthos Service Mesh or Istio on Google Kubernetes Engine.

    Other authors
    • Ameer Abbas
    • Mark Church
    See publication

  • Using AWS IoT as a Running Buddy

    Ahead

    See publication

  • A Serverless Big Data Demo Using Small Data on AWS

    Ahead

    Walkthrough of building a serverless data processing pipeline using Amazon Kinesis & Amazon Athena. Combines machine learning, serverless computing, big data, and a few other interesting twists.

    Other authors
    See publication

  • Building an End-to-End IoT Application

    Amazon Web Services

    Collect, process, and visualize streaming data from devices using AWS IoT

    See publication

  • Cloud Orchestration and Automation: framing requirements

    Ahead

    To help you evaluate a cloud orchestration platform’s potential suitability to your environment, AHEAD has identified key factors to consider before making a decision.

    See publication

Courses

  • Database Systems Design

    CIS317

  • Independent Study (Enterprise Application Design)

    CIS399

  • Intermediate Object Oriented Programming

    CIS314

  • Object Oriented Programming

    CIS212

Projects

  • From Edge to Mesh

    Detailed solution designed to integrate a service mesh with Google's managed application load balancers.

    Other creators

  • whereami (GKE multi-cluster diagnostic and reporting tool used across many public-facing GCP docs)

    Kubernetes reporting tool written for testing multi-cluster services over either HTTP or gRPC. Exposes context for each instance of a given service (location, headers, service identity, configuration, etc). Used in public-facing guides & walkthroughs for Google Kubernetes Engine.

    See project

  • Bespoke GenAI code assistant chatbot using Gemini Flash + Retrieval Augmented Generation (RAG)

    -

    Part of a 3 developer team that built a code assistant chatbot that leveraged AlloyDB (with pgvector) for code / text embeddings and Google Gemini Flash as the foundational LLM for a customer as a PoC in 6 business days. Gradio was used as the chatbot interface. Used Cloud Run to host compute elements of the application.

    Other creators

Languages

  • Golang

    Limited working proficiency

  • Spanish

    Limited working proficiency

  • Python

    Full professional proficiency

  • Javascript

    Professional working proficiency

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