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Keidrych Oates Anton
Verified Expert in Engineering
Cloud Architect and Developer
Toowoomba, Queensland, Australia
Toptal member since June 26, 2019
Bio
Keidrych is a cloud architect who guides organizations through the quagmire of multi/poly-Cloud Native Computing Foundation (CNCF) technologies so their technological foundation may be secure to all, reliable for customers, and monetarily efficient, leveraging scorched earth capabilities toward zero production impact on plant-scale architecture. Keidrych believes trusted technology serves humanity; a 5% increase in internet or cyberspace trust results in a $3,000+ increase in GDP per capita.
Portfolio
Insurance Australia Group
Kubernetes, Amazon Elastic Container Registry (ECR), DevOps, Agile...
Atlassian
Kubernetes, Amazon Elastic Container Registry (ECR), DevOps, Agile...
ANZ Group
Kubernetes, Serverless, Amazon Elastic Container Registry (ECR), DevOps, Agile...
Experience
- API Architecture - 20 years
- DevSecOps - 20 years
- Fog Computing - 10 years
- Large-scale Distributed Systems - 10 years
- Cloud Native Computing Foundation (CNCF) - 8 years
- Serverless - 8 years
- Containerization - 8 years
- Kubernetes - 7 years
Preferred Environment
IT Security, Kubernetes, Fog Computing, Cloud Infrastructure, Large-scale Distributed Systems, Secure Containers, Containerization, IoT Security, Disaster Recovery Consulting, Immutable Infrastructure
The most amazing...
...technology I've built enabled organizations to move their entire IT infrastructure between any major cloud within 60 minutes with no production downtime.
Work Experience
Foggy Cloud Advisor and Architect
2022 - 2022
Insurance Australia Group
- Trained the team in concurrent distributed continuous delivery, bringing production defects toward zero.
- Conceptualized multi-cloud approaches for improved application uptime and reliability, targeting 99% uptime.
- Customized in-use containers for Containizen compatibility, booting CI deployments by 10x.
- Spearheaded the Kubernetes Secrets Management upgrade, motivating the team toward zero trust principles.
Technologies: Kubernetes, Amazon Elastic Container Registry (ECR), DevOps, Agile, Microservices, Docker, GitHub, Continuous Delivery (CD), Linux, Amazon S3 (AWS S3), Amazon Web Services (AWS), Google Cloud Platform (GCP), Java, API Architecture, RESTful Microservices, Fog Computing, Containerd, IT Security, Zero Trust, Network Security Monitoring, Cilium, Cloud Native Computing Foundation (CNCF), Containerization, Container Orchestration, Secure Containers, Cloud Storage, Data Management, Content Delivery Networks (CDN), Data Architecture, NixOS, Build Pipelines, Operations, Clustering, Security Architecture, Caching, Containers, Amazon EKS, Microservices Architecture, Cloud Native, Continuous Integration (CI), Continuous Development (CD), Open Policy Agent (OPA), Pomerium, Network Stack, High Availability Disaster Recovery (HADR), Business Continuity & Disaster Recovery (BCDR), Cloud, Istio, DevSecOps, Cloud Infrastructure, Large-scale Distributed Systems, Disaster Recovery Consulting, Immutable Infrastructure, Internet Protocols, Orchestration, Distributed Systems, Web Security, Web, Infrastructure, Monitoring, Continuous Discovery, Service Meshes, IT Audits, Agile Software Development, Foggy Ubiquity, Cluster Computing, Distributed Caches, Distributed Software, Distributed File Systems, Distributed Computing, PlanetScale, Decentralized Systems, Decentralized Applications, Decentralized Autonomous Organizations (DAO), Consulting, IT Consulting, Web Consulting, Technical Consulting, Software Consulting, Technology Consulting, Cloud Security, Architecture
Foggy Cloud Advisor and Architect
2022 - 2022
Atlassian
- Conceptualized wargames specific to eBPF interactions and challenges. The team was able to analyze in advance what could have been hours of frustration in production situations.
- Partnered Atlassian with Sysdig for eBPF security and monitoring, interpreting most production issues within five minutes.
- Revamped the network to become zone-aware on routes, extracting 100% visibility into traffic through clusters.
- Routed all container traffic through an eBPF secure observability layer, locking down over 99% of vulnerable opportunity scans or probes by malicious actors.
- Arbitrated replacing the Container Networking Interface with a transparent mTLS by WireGuard, blocking 100% of unencrypted traffic between machines.
- Secured in-cluster requests to an EKS API to approved pods only, which typically accounted for less than 5% of active pods.
- Facilitated upgrading Kubernetes Secrets Management to Open Source Standards, critiquing the risk of escaped secrets in-cluster to almost zero.
Technologies: Kubernetes, Amazon Elastic Container Registry (ECR), DevOps, Agile, Microservices, Docker, GitHub, Continuous Delivery (CD), Linux, Amazon S3 (AWS S3), Amazon Web Services (AWS), Java, API Architecture, RESTful Microservices, Fog Computing, Containerd, IT Security, Zero Trust, Network Security Monitoring, Cilium, Cloud Native Computing Foundation (CNCF), Containerization, Container Orchestration, Secure Containers, Cloud Storage, Data Management, Content Delivery Networks (CDN), Data Architecture, NixOS, Build Pipelines, Operations, Clustering, Security Architecture, Caching, Containers, Amazon EKS, Microservices Architecture, Cloud Native, Continuous Integration (CI), Continuous Development (CD), Open Policy Agent (OPA), Pomerium, Network Stack, Cloud, DevSecOps, Cloud Infrastructure, Large-scale Distributed Systems, Disaster Recovery Consulting, Immutable Infrastructure, Internet Protocols, Orchestration, Distributed Systems, Web Security, Web, Infrastructure, Monitoring, Continuous Discovery, IT Audits, Agile Software Development, Foggy Ubiquity, Cluster Computing, Distributed Caches, Distributed Software, Distributed File Systems, Distributed Computing, PlanetScale, Decentralized Systems, Decentralized Applications, Decentralized Autonomous Organizations (DAO), Consulting, IT Consulting, Web Consulting, Technical Consulting, Software Consulting, Technology Consulting, Cloud Security, Architecture
Foggy Cloud Advisor and Architect
2020 - 2021
ANZ Group
- Achieved a secure code audit trail traceable to production, restricting 100% of unsigned or visually verified containers.
- Decreased the risk of disaster recovery strategy failure by identifying vaporware, preventing over 25% of permanent data loss.
- Evaluated ANZ's internal PaaS against Foggy Ubiquity's lessons learned, which added years of maturity to its platform.
- Diagnosed collaboration failure points against infosec recommended patterns, increasing cooperation between teams by 30%.
- Standardized code signing by demonstrating how fake actors can hijack commits. Over 95% of commits are typically unsigned on Git.
- Clarified how planet-scale networking operations can mitigate risks toward zero.
- Assigned data sovereignty patterns for GDPR and traced data sovereignty for legislation compliance of 10.
Technologies: Kubernetes, Serverless, Amazon Elastic Container Registry (ECR), DevOps, Agile, Microservices, Docker, GitHub, Continuous Delivery (CD), Linux, Amazon S3 (AWS S3), Amazon Web Services (AWS), Google Cloud Platform (GCP), Java, Go, API Architecture, RESTful Microservices, Fog Computing, Containerd, IT Security, Zero Trust, Network Security Monitoring, Cilium, Cloud Native Computing Foundation (CNCF), Containerization, Container Orchestration, Secure Containers, Google Container Engine, Cloud Storage, Data Management, Content Delivery Networks (CDN), Data Architecture, NixOS, Build Pipelines, Operations, Clustering, Security Architecture, Caching, Containers, Google Kubernetes Engine (GKE), Microservices Architecture, Cloud Native, Continuous Integration (CI), Continuous Development (CD), Open Policy Agent (OPA), Pomerium, Network Stack, High Availability Disaster Recovery (HADR), Business Continuity & Disaster Recovery (BCDR), Hashistack, Serverless Architecture, Cloud, Metal, Istio, DevSecOps, Cloud Infrastructure, Large-scale Distributed Systems, Disaster Recovery Consulting, Immutable Infrastructure, Internet Protocols, Orchestration, Distributed Systems, Web Security, Web, Infrastructure, Monitoring, Continuous Discovery, Service Meshes, IT Audits, Agile Software Development, Foggy Ubiquity, Cluster Computing, Distributed Caches, Distributed Software, Distributed Databases, Distributed File Systems, Distributed Computing, PlanetScale, Decentralized Systems, Decentralized Applications, Decentralized Autonomous Organizations (DAO), Hardware, Consulting, Web Consulting, Technical Consulting, Software Consulting, Technology Consulting, Cloud Security, Architecture
Foggy Cloud Advisor and Architect
2019 - 2021
nbn
- Authored a Kubernetes Cluster API to interface with bare-metal servers, allowing the iPXE benchmark a 20x improvement over VMware.
- Debugged AWS NVMe to allow full read-write performance per NVMe specification, accelerating throughput by 100x.
- Promoted identical and reproducible development environments across the technology stack, forecasting a 5x reduction in CI infrastructure costs.
- Coded an automatic nightly suspension-and-resume capability into non-production Kubernetes clusters, eliminating 70% of infrastructure costs.
- Customized billing per Kubernetes cluster resource, reducing OPEX for business units by 50%.
- Launched a Kubernetes on the metal automated deployment, upgrade, and maintenance platform, reducing over $500,000 in VMware license costs.
- Saved the Kubernetes DNS from discovery attacks, restricting 60% of expected malicious actors.
- Built a Kubernetes hybrid cloud from metal to AWS with transparently encrypted traffic between machines, isolating 100% of listening attacks.
Technologies: Kubernetes, Node.js, Serverless, Amazon Elastic Container Registry (ECR), DevOps, Azure DevOps, Agile, Microservices, Docker, API Development, GitHub, Redis, Continuous Delivery (CD), Linux, SQLite, Amazon S3 (AWS S3), Amazon Web Services (AWS), Google Cloud Platform (GCP), Azure, Bash, Java, Go, API Architecture, CockroachDB, RESTful Microservices, Fog Computing, Domain Name System (DNS), Containerd, IT Security, Zero Trust, Network Security Monitoring, Cilium, Cloud Native Computing Foundation (CNCF), Containerization, Container Orchestration, Secure Containers, Cloud Storage, Data Management, Content Delivery Networks (CDN), Data Architecture, Code Architecture, NixOS, Build Pipelines, Operations, Clustering, Security Architecture, Caching, Containers, Amazon EKS, Microservices Architecture, Cloud Native, Continuous Integration (CI), Continuous Development (CD), Open Policy Agent (OPA), Pomerium, Network Stack, High Availability Disaster Recovery (HADR), Business Continuity & Disaster Recovery (BCDR), Hashistack, Serverless Architecture, Cloud, Governance, Metal, Istio, DevSecOps, Cloud Infrastructure, Large-scale Distributed Systems, Disaster Recovery Consulting, Immutable Infrastructure, Internet Protocols, Orchestration, Distributed Systems, Web Security, Web, Infrastructure, Monitoring, Continuous Discovery, Service Meshes, Mesh Optimization, IT Audits, Agile Software Development, Programming, Foggy Ubiquity, Cluster Computing, Distributed Caches, Distributed Software, Distributed Databases, Distributed File Systems, Distributed Computing, PlanetScale, Decentralized Systems, Decentralized Applications, Decentralized Autonomous Organizations (DAO), Hardware, Consulting, IT Consulting, Web Consulting, Technical Consulting, Software Consulting, Technology Consulting, Cloud Security, Architecture
Consultant, Critical Production Support
2020 - 2020
DoiT International
- Presented methodologies to optimize CNCF architecture for plant-scale stability, aiming for 100% uptime at sponsored meetups.
- Promoted Containizen's discoveries for security and operation awareness to minimize time to diagnose and repair production issues by over 75%.
- Engaged as a P1 critical support for challenging or critical clients, typically resolving issues within 90 minutes.
Technologies: Kubernetes, JavaScript, Node.js, Amazon Elastic Container Registry (ECR), DevOps, Azure DevOps, Agile, Microservices, Docker, API Development, GitHub, Redis, Continuous Delivery (CD), System Administration, Linux, MongoDB, SQLite, Amazon S3 (AWS S3), Amazon Web Services (AWS), Google Cloud Platform (GCP), Azure, Bash, Java, Go, API Architecture, CockroachDB, Python, RESTful Microservices, Fog Computing, Domain Name System (DNS), Containerd, IT Security, Zero Trust, Network Security Monitoring, Cilium, Cloud Native Computing Foundation (CNCF), Containerization, Container Orchestration, Secure Containers, Code Coverage, Cloud Storage, Data Management, Content Delivery Networks (CDN), Data Architecture, Code Architecture, NixOS, Build Pipelines, Operations, Clustering, Security Architecture, Caching, Software Development, Containers, Azure Kubernetes Service (AKS), Google Kubernetes Engine (GKE), Amazon EKS, Microservices Architecture, Cloud Native, Continuous Integration (CI), Continuous Development (CD), Pomerium, Network Stack, High Availability Disaster Recovery (HADR), Business Continuity & Disaster Recovery (BCDR), Hashistack, Alibaba Cloud, GitLab CI/CD, Serverless Architecture, Cloud, Metal, Istio, IBM SoftLayer, DevSecOps, Cloud Infrastructure, Large-scale Distributed Systems, Disaster Recovery Consulting, Immutable Infrastructure, Internet Protocols, Demographic Data, Orchestration, Distributed Systems, Web Security, Web, Infrastructure, Monitoring, Continuous Discovery, Secure Coding, Service Meshes, Mesh Optimization, IT Audits, Agile Software Development, Programming, Foggy Ubiquity, Cluster Computing, Distributed Caches, Distributed Software, Distributed File Systems, Distributed Computing, PlanetScale, Decentralized Systems, Decentralized Applications, Decentralized Autonomous Organizations (DAO), Hardware, Consulting, IT Consulting, Web Consulting, Startup Consulting, Technical Consulting, Software Consulting, Technology Consulting, Cloud Security, Architecture
Senior DevOps Engineer
2019 - 2020
FriendFinder Networks
- Standardized CI/CD within a fully automated isolated environment for efficiency and security, removing 10 servers.
- Removed VMware by coding iPXE compatibility for Kubernetes to run directly on bare metal, voiding $100,000+ in license fees.
- Restructured to failover edge routing, ensuring zero downtime for deployments.
- Architected Kubernetes on bare metal as a multi-datacenter mesh with encrypted traffic between machines, preventing the need for an inter-datacenter proxy or VPN.
- Demonstrated how shadow environments would aim toward zero production defects with leveraged customer trust and security.
Technologies: Kubernetes, Python, DevOps, Agile, Microservices, Docker, GitHub, Redis, Continuous Delivery (CD), System Administration, Linux, MongoDB, SQLite, Amazon S3 (AWS S3), Bash, API Architecture, CockroachDB, RESTful Microservices, Fog Computing, Domain Name System (DNS), Containerd, IT Security, Zero Trust, Cilium, Cloud Native Computing Foundation (CNCF), Containerization, Container Orchestration, Secure Containers, Cloud Storage, Data Management, Content Delivery Networks (CDN), Data Architecture, Content Management Systems (CMS), Build Pipelines, Operations, Clustering, Security Architecture, Caching, Software Development, Containers, Microservices Architecture, Cloud Native, Continuous Integration (CI), Continuous Development (CD), Network Stack, High Availability Disaster Recovery (HADR), Business Continuity & Disaster Recovery (BCDR), Cloud, Metal, DevSecOps, Cloud Infrastructure, Large-scale Distributed Systems, Disaster Recovery Consulting, Immutable Infrastructure, Internet Protocols, Demographic Data, Orchestration, Distributed Systems, Web Security, Web, Infrastructure, Monitoring, Continuous Discovery, Secure Coding, IT Audits, Agile Software Development, Programming, Foggy Ubiquity, Cluster Computing, Distributed Caches, Distributed Software, Distributed Databases, Distributed File Systems, Distributed Computing, PlanetScale, Decentralized Systems, Decentralized Applications, Decentralized Autonomous Organizations (DAO), Hardware, Consulting, IT Consulting, Web Consulting, Technical Consulting, Software Consulting, Technology Consulting, Cloud Security, Architecture
DevOps Engineer, Google Kubernetes Engine
2019 - 2019
Maestro
- Examined Node.js memory, throughput, and concurrency and stabilized the application at scale on multi-cloud regions, resolving 70% of application scale challenges.
- Devised better billing, performance, and infrastructure needs, extracting a 10x reduction in cloud computing costs.
- Arbitrated removing the service mesh, enabling 10x stream concurrency.
- Discovered a world-first workaround to Kube-DNS scale issues at volume with a GCP throughput able to exceed 100,000+ concurrent DNS requests. Google published this discovery on an FAQ page.
- Implemented dynamically reroutable secure WebSockets on Kubernetes, removing stream interruptions on pod relocation and 70% of usual customer churn.
- Persuaded the executive team that shadow environments would minimize production defects and boost production security and stabilization, which doubled customer trust.
Technologies: Google Kubernetes Engine (GKE), MongoDB, PostgreSQL, JavaScript, Serverless, Azure DevOps, Agile, Microservices, Docker, API Development, GitHub, Redis, Continuous Delivery (CD), System Administration, Linux, Amazon S3 (AWS S3), Amazon Web Services (AWS), Google Cloud Platform (GCP), Azure, Bash, API Architecture, CockroachDB, RESTful Microservices, Fog Computing, Domain Name System (DNS), Containerd, IT Security, Zero Trust, Cilium, Cloud Native Computing Foundation (CNCF), Containerization, Container Orchestration, Secure Containers, Code Coverage, Cloud Storage, Data Management, Content Delivery Networks (CDN), Data Architecture, Code Architecture, NixOS, Content Management Systems (CMS), Build Pipelines, Operations, Clustering, Security Architecture, Caching, Software Development, Containers, Azure Kubernetes Service (AKS), Microservices Architecture, Cloud Native, Continuous Integration (CI), Continuous Development (CD), Network Stack, High Availability Disaster Recovery (HADR), Business Continuity & Disaster Recovery (BCDR), Cloud, Cloud Infrastructure, Large-scale Distributed Systems, Disaster Recovery Consulting, Immutable Infrastructure, Internet Protocols, Demographic Data, Orchestration, Distributed Systems, Web Security, Web, Infrastructure, Monitoring, Continuous Discovery, Secure Coding, IT Audits, Agile Software Development, Programming, Foggy Ubiquity, Cluster Computing, Distributed Caches, Distributed Software, Distributed Databases, Distributed File Systems, Distributed Computing, PlanetScale, Decentralized Systems, Decentralized Applications, Decentralized Autonomous Organizations (DAO), IT Consulting, Web Consulting, Startup Consulting, Technical Consulting, Software Consulting, Technology Consulting, Cloud Security, Architecture
Consultant to the Head of Digital & Emerging Technology
2018 - 2019
Virgin Australia Airlines
- Collated the architecture to a CNCF-compliant style, revoked legacy N-tier and domain-driven architecture, and stripped obfuscated code down by 90%.
- Implemented centralized logs via "common log format" and clarified log aggregation streams, streamlining JSON queries for 25% faster search.
- Minimized cluster operational costs by 20% and container image download time by 90%.
- Inspected personally identifiable information and payment card industry compliance through CNCF technologies.
Technologies: Kubernetes, Containers, Secure Containers, Containerization, Container Orchestration, Security Software Development, Agile Software Development, DDoS, Programming, IoT Security, Foggy Ubiquity, JavaScript, Node.js, Amazon Elastic Container Registry (ECR), DevOps, Microservices, Docker, API Development, GitHub, Redis, Continuous Delivery (CD), Artificial Intelligence (AI), Linux, MongoDB, SQLite, Amazon S3 (AWS S3), Amazon Web Services (AWS), Bash, Java, API Architecture, RESTful Microservices, Fog Computing, Domain Name System (DNS), Containerd, IT Security, Zero Trust, Cilium, Cloud Native Computing Foundation (CNCF), Code Coverage, Cloud Storage, Data Management, Content Delivery Networks (CDN), Data Architecture, Code Architecture, NixOS, Build Pipelines, Operations, Clustering, Security Architecture, Caching, Software Development, Amazon EKS, Microservices Architecture, Cloud Native, Continuous Integration (CI), Continuous Development (CD), Network Stack, High Availability Disaster Recovery (HADR), Business Continuity & Disaster Recovery (BCDR), Hashistack, GitLab CI/CD, Serverless Architecture, Cloud, Governance, Metal, Istio, DevSecOps, Cloud Infrastructure, Large-scale Distributed Systems, Disaster Recovery Consulting, Immutable Infrastructure, Internet Protocols, Demographic Data, Orchestration, Distributed Systems, Web Security, Web, Infrastructure, Monitoring, Continuous Discovery, Secure Coding, Service Meshes, IT Audits, Cluster Computing, Distributed Caches, Distributed Software, Distributed Databases, Distributed File Systems, Distributed Computing, PlanetScale, Decentralized Systems, Decentralized Applications, Decentralized Autonomous Organizations (DAO), Consulting, IT Consulting, Web Consulting, Technical Consulting, Software Consulting, Technology Consulting, Cloud Security, Architecture
Experience
Anonymous User Tracking Over Multiple Devices and Multichannel Attribution
Anonymous users visit websites daily, yet companies are forced to present non-personalized content to them. I developed a machine learning approach to track and identify anonymous users against demographics identifying the same user—with a high degree of confidence—on multiple devices and from any of the attribution channels. The system was self-validating using converted users' feedback to validate and correct the machine learning models daily.
Foggy Ubiquity's Language
https://github.com/foggyubiquity/languageMicroservice dependency, configuration, and secret management were nonexistent at the time; a few isolated approaches existed, but nothing with permanence. Partnering with three universities and 35 industry publications, I created and open-sourced a universal microservice language using machine learning.
Containizen
https://hub.docker.com/r/foggyubiquity/containizenThese are maximum security, minimal footprint production base image and language containers. They're the most secure, CI/CD-compatible, and automatically updated optimized base container available. They are also used in several enterprises and publish a daily vulnerability CVE list.
Automated Registration DDoS Protection
This is a machine registration endpoint with no prior traffic. It should automatically register new machine users while simultaneously resisting port scanning and DDoS attacks and maintaining cost by not triggering auto-scale events for false traffic.
Fathomable
An operational and governance platform for Kubernetes, compatible with all major public cloud providers and bare metal servers. The technology used in this platform is still not mainstreamed by public cloud providers or Kubernetes distributions today. Ten seconds after the platform's machine-ready state, the first container synced and executed. It is also capable of reconstructing a failed datacenter within minutes.
Cyber Survival Denizen (Cyvizen)
An integration for digital identity by way of a Linux operating system that strives for equilibrium between anonymity or privacy and innovation or security while leveraging the ability of scorched earthing hardware. Cyvizen is in use by the government, IT professionals, and perpetual travelers.
Education
2000 - 2003
Bachelors of Engineering (Infomechatronics) in Mechanical, Electrical & Information Technology Engineering
Queensland Institute of Technology (QUT) - Brisbane, Australia
1999 - 1999
Advanced Placement Scholar in Biology
Princeton University - New Jersey, USA
Skills
Libraries/APIs
Node.js, API Development
Tools
Istio, Azure Kubernetes Service (AKS), Google Kubernetes Engine (GKE), Amazon Elastic Container Registry (ECR), Amazon EKS, GitHub, Terraform, Helm, Kustomize, Hashistack, GitLab CI/CD
Languages
JavaScript, Bash, ECMAScript (ES6), Java, Nim, Go, Python
Frameworks
Metal
Paradigms
DevOps, Azure DevOps, Agile, Microservices, Microservices Architecture, Serverless Architecture, Continuous Integration (CI), Continuous Development (CD), Continuous Delivery (CD), DevSecOps, DDoS, Agile Software Development, Distributed Computing, Security Software Development, API Architecture
Platforms
Cilium, Kubernetes, Cloud Native, Docker, Amazon Web Services (AWS), Google Cloud Platform (GCP), Azure, PlanetScale, DC/OS, Linux, Web
Storage
Amazon S3 (AWS S3), Redis, Distributed Databases, Alibaba Cloud, MongoDB, SQLite, PostgreSQL, CockroachDB
Industry Expertise
Cybersecurity
Other
Zero Trust, Cloud Native Computing Foundation (CNCF), Cloud, IBM SoftLayer, Containerization, Container Orchestration, Secure Containers, Google Container Engine, Code Coverage, Network Stack, Cloud Storage, Data Management, Content Delivery Networks (CDN), Domain Name System (DNS), Containerd, IT Security, Serverless, RESTful Microservices, Fog Computing, Data Architecture, Code Architecture, NixOS, Content Management Systems (CMS), Build Pipelines, Operations, Clustering, Security Architecture, Caching, Software Development, Containers, Cloud Infrastructure, IoT Security, Disaster Recovery Consulting, Immutable Infrastructure, Tracking, Orchestration, Distributed Systems, Web Security, Infrastructure, Service Meshes, Mesh Optimization, IT Audits, Programming, Foggy Ubiquity, Cluster Computing, Distributed Caches, Distributed Software, Distributed File Systems, Decentralized Systems, Decentralized Applications, Decentralized Autonomous Organizations (DAO), Hardware, Consulting, IT Consulting, Web Consulting, Startup Consulting, Technical Consulting, Technology Consulting, Software Consulting, Cloud Security, Infrastructure as Code (IaC), CI/CD Pipelines, Leadership, Site Reliability Engineering (SRE), Architecture, Threat Modeling, Threat Analytics, Open Policy Agent (OPA), Pomerium, Network Security Monitoring, Governance, GRAPH, Artificial Intelligence (AI), High Availability Disaster Recovery (HADR), Business Continuity & Disaster Recovery (BCDR), System Administration, Machine Learning, Demographic Data, Monitoring, Large-scale Distributed Systems, Internet Protocols, Research, Directed Acrylic Graphs (DAG), Continuous Discovery, Secure Coding
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