Metrics Analytics & Auto Detection Recovery Framework (Real-time and Historical trends) For On-Premises & ORAN Deployment Infrastructure. (One cell5G ORAN-Open Radia Access Network), System Architect, Dev & Integration & Deployment, Grafana, Prometheus, Thanos, MINIO, Python, AWS (EC2, EKS, S3, Lambda, VPC), Edge-computing, Custom-Library, Helm Chart HTML5, DevOps, Container Networking, Kubernetes Engine, fluentd, fluent-bit, Microservice, AI/ML, Kibana, Elastic Search, Centralized monitoring solution for multi-cluster environments with long-term storage capabilities. Supports all types of system metrics (multi-cluster, cluster, node, Pod, container, Application, etc.). Provide single pane of glass observability to assess the overall health of deployments & Live status. Interactive dashboards, easily spot anomalies & trends. Raise email alerts in real-time proactively or upon encountering any fault. Ingest all alerts into Elasticsearch for simplified searching, filtering & aggregation. Auto Detection and Recovery Framework. Automated root-cause analysis using ML Techniques. Separate Historical and Realtime Dashboard for Cluster, Node, Pod, and Container overview. Automated Troubleshooting and Log Analytics Framework. (4G,5G Platform & gNB Applications), System Architect, Dev & Integration & Deployment, Grafana, Elastic Search, Logstash, Kibana, S3, Python, AWS (EC2,EKS,S3,VPC), Container Networking, DevOps, K8S Engine, Elastic Cloud, Fluent bit, AI/ML, NLP, LLM, Centralized logging solution for text-based logs generated by all One Cell products. Available as a managed service on the public cloud and on-prem as a Pipeline solution for 4G, and 5G. Dashboards, real-time queries, and aggregations. Create dashboards to automate repeated analysis saving countless hours of effort. Computation and Analysis of Logs that have interesting keywords like Fail, Terminate, Disconnect, and Error. Automated Log Analysis during Ingestion (Perforce logs, Debug Logs, Failure Logs, Alarms, RP Logs). Framework supports many options to cover typical log analysis cases otherwise performed manually by users. A flexible YAML-based framework to define rules for performing complex log analysis. Industrial IIOT platform with Mind sphere & Edge Platform for On-premises Data Processing (Edge Apps and Mind Apps, Edge Computing, cloud), Backend Developer (Services & Cloud) and integration, Siemens Edge Box (Hardware), Mind sphere, IIOT, Node.js Restful Service, Angular 9, Containers, K8's, HTML5, MQTT, IOWA Service, DevOps, Rancher Orchestration Engine, Postgres, Azure, Data Pipeline, Mind Apps and Edge Apps for KPI, Notification, data time series, and diagnostic data analysis. These Apps will perform various calculations based on different formulas and perform alarm management, notifications. Processing real-time telemetered data pumping from OPCUA. Filtering real-time data from field devices via Scada server. Siemens Edge Computing for in-house or on-premises data computing and distribution with north-bound cloud connectivity. TIA Cloud Service with Elasticity & Distribution Web Version (Highly Scalable Objects), Backend Developer (Services and Cloud), AWS (IaaS, PaaS), K8s, Containers, C#, DevOps, WCF, Restful Service, Angular 5, Microservices, SOA, The commission engineer and plant manager can use it during production, browser availability & modularizable. It helps to configure a distributed plant & an infinite number of plant objects and elastic plant hierarchy can be distributed to multiple runtimes. It provides infinite scalable objects, Scalability, and elasticity on a common plant model. Pay as per usage"model, replacing the single license model. Trust and Trace with Blockchain and AI/ML (Mango Juice procession plant), AI/ML, AWS, Containers, Blockchain, DevOps, NodeJS, Restful Service, Angular 8, python, K8's, Human to Human, Machine to Human, machine to machine, Use IOT to push findings to blockchain. Traceable history of multiple stakeholder data and give insights. OCR scanner, Classification/forecast, Anomaly detector, Mind-sphere, and cloud integration. Edge integration of multiple algorithms and apps. Use of AI over blockchain for trust calculation. Use IOT to push findings to the blockchain. Customer experience can be one of the reasons for validating AI models to know if they can be trusted. Industrial- ID Fan Condition Monitoring App (Edge Apps - Edge Computing, Cloud Computing), Siemens Edge Box, AI/ML, OPCUA, PLC, Node.js Sockets, Restful Service, Angular 8, Containers, HTML5, MQTT, DevOps, Rancher, Kubernetes Orchestration Engine, Postgres, docker, python, Analytics @ Edge: Bringing intelligence at the machine edge, and Edge-computing based solution. Disparate & Multivariate approach: Analysis of Electrical parameters, Critical Processes, and Health Parameters, Actionable Insights, configurable Recommendation Engine. Anomaly Prognosis: Anomaly detection using Statistical methods and machine learning algorithms. Trend Analysis: Real time data monitoring and Real time vs Predicted data analysis