アーキテクチャ

Protected: On cloud-native and service-centric development

On cloud-native and service-centric development leveraged for digital transformation, artificial intelligence, and machine learning tasks inter-organizational, siloed, KPIs, business value, Conway's Law, organizational restructuring, process reform, CNCF Incubating Stage, CNCF Graduate Stage, CNCF Sandbox Stage, Technical Oversight Committee, End User Advisory Board, Cloud Native Application Development, Kubernetes Application Modernization, The Twelve-Factor App, 12 Application Principles, Container Orchestration, APIs, Service Based Architecture, SOA, Service Oriented Architecture, Microservices, Sparse Coupling, Delivery Performance, MTTR, Lead Time, Change Loss Rate, Deployment Frequency, Docker

2023.02.13

web技術:web technologyアーキテクチャコンピューターマルチエージェントシステムユーザーインターフェース/データビジュアライゼーション

AWS Cloud Service Design Patterns (2)

AWS Cloud Service Design Patterns used for Digital Transformation, Artificial Intelligence and Machine Learning tasks (Data Upload Patterns, Write Proxy, Storage Index, Direct Object Upload, Relational Database Patterns, DB Replication, Read Replica, Inmemory DB Cache, Sharing Write, Asynchronous Processing, Batch Processing Patterns, Queuing Chain, Priority Queue, Job Observer, Fanout)

2023.01.31

アーキテクチャコンピューター

Protected: Setup of Terraform, an infrastructure management tool

Setup of Terraform, an infrastructure management tool used for digital transformation, artificial intelligence, and machine learning tasks (git-secrets, dockernized Terraform, AWS credentials, team development tfenv, Homebrew, AWS CLI, AWS Management Console, access key ID, secret access key, python, Identity and Access Management, AWS, environment setup)

2023.01.17

web技術:web technologyアーキテクチャコンピューターネットワーク技術マルチエージェントシステムユーザーインターフェース/データビジュアライゼーション

AWS Cloud Service Design Patterns (1)

AWS Cloud Service Design Patterns for Digital Transformation, Artificial Intelligence, and Machine Learning tasks (Snapshot, Stamp, Scale Up, Scale Out, Ondemand Disk, Multi-Server, Multi-Datacenter, Floating IP, Deep Health Check, Routing-Based HA, Clone Server, NFS Sharing, NFS Replica, State Sharing, URL Rewriting, Rewrite Proxy, and Datacenter). Datacenter, Floating IP, Deep Health Check, Routing-Based HA, Clone Server, NFS Sharing, NFS Replica, State Sharing, URL Rewriting, Rewrite Proxy, Cache Proxy, Scheduled Scale Cache Proxy, Scheduled Scale Out, IP Pooling, Web Storage, Direct Hosting, Private Distribution, Cache Distribution, Rename Distribution, Private Cache Distribution, Latency Based Origin)

2023.01.16

アーキテクチャコンピューター

Protected: Leveraging Apache Spark for Distributed Data Processing – Developing and Executing Applications

Leveraging Apache Spark to enable distributed data processing for digital transformation, artificial intelligence, and machine learning tasks -Application development and execution (forced termination, yarn-client mode, yarn-cluster mode, YARN, and YARN) management commands, cluster, python, Clojure, Shell, AWS, Glue, sparkplug, spark-shell, spark-submit, Nodemanager, HDFS, Spark applications, Scala, sbt, plugin.sbt, build.sbt build.sbt, build, sbt-assembly plugin, JAR file)

2022.12.27

IOT技術:IOT TechnologyStream Data Processingweb技術:web technologyアーキテクチャデータベース技術:DataBase Technologyネットワーク技術ハードウェアマルチエージェントシステム時系列データ解析機械学習:Machine Learning

Introduction and configuration of Apache Spark for distributed data processing

Deployment and configuration of Apache Spark to enable distributed data processing for digital transformation, artificial intelligence and machine learning tasks (NodeManager, YARN, spark-master, ResourceManager, spark-worker, HDFS, NameNode, DataNode, spark-client, CDH5.4, haddop, Yum, CentOS) spark-worker, HDFS, NameNode, DataNode, spark-client, CDH5.4, haddop, Yum, CentOS)

2022.12.13

IOT技術:IOT TechnologyStream Data Processingweb技術:web technologyアーキテクチャコンピューター時系列データ解析

Deploying and Operating Microservices – Docker and Kubernetes

Deployment and operation of microservices leveraged for digital transformation, artificial intelligence and machine learning tasks - Docker and Kubernetes minikube, containers, deployment, kube-ctl, rolling-upgrade, auto-bin packing, horizontal scaling, scale-up, scale-down, self-healing, kubelet, kube-apiserver, etcd, kube-controller- manager, kube- scheduler, pod, kube-proxy, Docker CLI, the Docker Registry, cgroups, Linux kernel, kernel namespace, union mount option, Hypervisor

2022.12.12

アーキテクチャコンピューターネットワーク技術マルチエージェントシステム

Use of ElasticStash for monitoring system operations, including microservices

Leveraging ElasticStash for system operations monitoring, including microservices leveraged for digital transformation artificial intelligence, and machine learning tasks Riemann, rollup, throttle structure, KafKa plugin, UTC, timbre LogStash, log4j, tools.logging, structured logging, common log formats, visualization features, dashboards, Kibana, pipeline, UDP, Collectd, RRD, stdin, stdout, ELK Stack, Elastic Stack Apache Kafka

2022.11.28

Clojureアーキテクチャコンピューターセキュリティデータベース技術:DataBase Technologyマルチエージェントシステム

Installation and operation of Apache server and LAMP

Installation and operation of Apache server and LAMP (MariaDB, PHP, CentOS, Mac, Windows) utilized for digital transformation (DX), artificial intelligence (AI) and machine learning (ML) tasks

2022.11.18

アーキテクチャコンピューター

Security in Microservices – APIs with Auth and Pedestal in Clojure

Security in microservices leveraged for digital transformation, artificial intelligence, and machine learning tasks - APIs with Auth and Pedestal in Clojure Buddy, Buddy sign, JSON Web Tokens, JSON Web Signature, JSON Web Encryption

2022.11.15

Clojureアーキテクチャセキュリティマルチエージェントシステム