Open source historian
•
0 likes•148 views
The document describes an industrial process historian that has many scalable and high availability features such as linear scalability, clustering, sharding, a flexible data schema with searchable metadata, stream analytics capabilities, and extensible user-defined functions. It also has tools for visualization, alarm generation, and an open source code base. This system, called Influx, provides an ecosystem for data storage, analytics and visualization for industrial processes.
Report
Share
Report
Share
Download to read offline
Recommended
Open-source Manufacturing Solutions
Spruiktec provides digital solutions to help manufacturers optimize their processes, assets, labor, inventory, quality, and energy usage. Their services include consulting, systems implementation, project delivery, cloud solutions, and 24/7 support. They collect real-time data from processes and equipment to analyze key performance indicators, identify process deviations, and generate alerts. This allows manufacturers to monitor production processes, track material consumption and integrate with ERP systems, and perform predictive maintenance to optimize operations.
Azure event grid
This document discusses several Azure serverless services for building event-driven applications at massive scale including Event Hubs for high-volume data streams, Service Bus for critical workflows, Event Grid for business logic triggered by events, and IoT Hub. It highlights key capabilities like near real-time processing, high reliability, and massive throughput of these services.
Sequence manager
SequenceManager is a software solution that enables batch sequencing capabilities on Logix family controllers. It allows configuration of batch operations in Studio 5000 Logix Designer and running sequences in FactoryTalk View SE while capturing batch results. SequenceManager directs PhaseManager programs inside Logix controllers in a ordered sequence to implement process tasks for single or multiple unit operations using ISA-88 methodology. It provides benefits like distributed sequence execution, fast and reliable execution native to the controller, and reduced infrastructure costs for small systems.
Streaming Analytics for IoT with Apache Spark
Modern IoT operations can drive digital transformation by analyzing the unprecedented amounts of data generated from devices and sensors in real-time.
Apache Spark is a widely used stream processing engine for real-time IoT applications. Spark streaming offers a rich set of APIs in the areas of ingestion, cloud integration, multi-source joins, blending streams with static data, time-window aggregations, transformations, data cleansing, and strong support for machine learning and predictive analytics.
Join Anand Venugopal, AVP & Business Head, StreamAnalytix and Sameer Bhide, Senior Solutions Architect, StreamAnalytix to learn about the rapid development and operationalization of real-time IoT applications covering an end-to-end flow of ingest, insight, action, and feedback.
The webinar will cover the following:
Generic IoT application blueprint
Case studies on IoT applications built on Apache Spark – connected car and industrial IoT
Demonstration of an easy, visual approach to building IoT Spark apps
Azure stream analytics by Nico Jacobs
In many database applications we first log data and then, a few hours or days later, we start analyzing it. But in a world that’s moving faster and faster, we sometimes need to analyze what is happening NOW.
Azure Stream Analytics allows you to analyze streams of data via a new Azure service. In this session you will see how to get started using this new service. From event hubs on the input side over temporal SQL queries: the demo’s in this session will show you end to end how to get started with Azure Stream Analytics.
SensrTrx Overview - Machine and Manufacturing Analytics
SensrTrx is a cloud-based manufacturing analytics application that supports hundreds of machine protocols, and provides plant managers metrics that go well beyond OEE to increase productivity, reduce scrap and downtime, and optimize machine cycles throughout the lines.
SnapLogic Live: Workday Integration
SnapLogic provides a unified integration platform that allows users to integrate Workday with other enterprise systems rapidly without coding. The platform uses a modern hybrid and elastic architecture that scales out elastically to handle data and application integration use cases. It can integrate Workday with salesforce.com and other applications through pre-built integration patterns. A live demonstration of Workday integration capabilities is available at SnapLogic.com/live.
Let's Talk About: Azure Monitor
Azure Monitor collects two types of data: metrics and logs. The document provides tips for reducing data volume in Azure Monitor by changing configurations for security events, performance counters, event logs, syslog, AzureDiagnostics, and solution data. Configurations can be changed to reduce the frequency and number of items collected, and to only collect required event levels and logs. This helps reduce the amount of data sent to Azure Monitor.
Recommended
Open-source Manufacturing Solutions
Spruiktec provides digital solutions to help manufacturers optimize their processes, assets, labor, inventory, quality, and energy usage. Their services include consulting, systems implementation, project delivery, cloud solutions, and 24/7 support. They collect real-time data from processes and equipment to analyze key performance indicators, identify process deviations, and generate alerts. This allows manufacturers to monitor production processes, track material consumption and integrate with ERP systems, and perform predictive maintenance to optimize operations.
Azure event grid
This document discusses several Azure serverless services for building event-driven applications at massive scale including Event Hubs for high-volume data streams, Service Bus for critical workflows, Event Grid for business logic triggered by events, and IoT Hub. It highlights key capabilities like near real-time processing, high reliability, and massive throughput of these services.
Sequence manager
SequenceManager is a software solution that enables batch sequencing capabilities on Logix family controllers. It allows configuration of batch operations in Studio 5000 Logix Designer and running sequences in FactoryTalk View SE while capturing batch results. SequenceManager directs PhaseManager programs inside Logix controllers in a ordered sequence to implement process tasks for single or multiple unit operations using ISA-88 methodology. It provides benefits like distributed sequence execution, fast and reliable execution native to the controller, and reduced infrastructure costs for small systems.
Streaming Analytics for IoT with Apache Spark
Modern IoT operations can drive digital transformation by analyzing the unprecedented amounts of data generated from devices and sensors in real-time.
Apache Spark is a widely used stream processing engine for real-time IoT applications. Spark streaming offers a rich set of APIs in the areas of ingestion, cloud integration, multi-source joins, blending streams with static data, time-window aggregations, transformations, data cleansing, and strong support for machine learning and predictive analytics.
Join Anand Venugopal, AVP & Business Head, StreamAnalytix and Sameer Bhide, Senior Solutions Architect, StreamAnalytix to learn about the rapid development and operationalization of real-time IoT applications covering an end-to-end flow of ingest, insight, action, and feedback.
The webinar will cover the following:
Generic IoT application blueprint
Case studies on IoT applications built on Apache Spark – connected car and industrial IoT
Demonstration of an easy, visual approach to building IoT Spark apps
Azure stream analytics by Nico Jacobs
In many database applications we first log data and then, a few hours or days later, we start analyzing it. But in a world that’s moving faster and faster, we sometimes need to analyze what is happening NOW.
Azure Stream Analytics allows you to analyze streams of data via a new Azure service. In this session you will see how to get started using this new service. From event hubs on the input side over temporal SQL queries: the demo’s in this session will show you end to end how to get started with Azure Stream Analytics.
SensrTrx Overview - Machine and Manufacturing Analytics
SensrTrx is a cloud-based manufacturing analytics application that supports hundreds of machine protocols, and provides plant managers metrics that go well beyond OEE to increase productivity, reduce scrap and downtime, and optimize machine cycles throughout the lines.
SnapLogic Live: Workday Integration
SnapLogic provides a unified integration platform that allows users to integrate Workday with other enterprise systems rapidly without coding. The platform uses a modern hybrid and elastic architecture that scales out elastically to handle data and application integration use cases. It can integrate Workday with salesforce.com and other applications through pre-built integration patterns. A live demonstration of Workday integration capabilities is available at SnapLogic.com/live.
Let's Talk About: Azure Monitor
Azure Monitor collects two types of data: metrics and logs. The document provides tips for reducing data volume in Azure Monitor by changing configurations for security events, performance counters, event logs, syslog, AzureDiagnostics, and solution data. Configurations can be changed to reduce the frequency and number of items collected, and to only collect required event levels and logs. This helps reduce the amount of data sent to Azure Monitor.
Big Data Expo 2015 - Microsoft Transform you data into intelligent action
Er zijn veel beloftes rondom Big Data. Iedereen praat erover maar hoe begin je zonder meteen een grote business case op te moeten stellen. Cortana Analytics Suite is laagdrempelig en een makkelijk toegankelijk Advanced Analytics platform om je ideeën op haalbaarheid te testen maar daarna ook door te groeien naar (grote) productie implementaties. In deze sessie krijg je een overzicht van de scenario’s die Cortana Analytics biedt. Denk daar bij aan IOT, Machine Learning maar ook Churn Analysis, Forecasting en Predictive Maintenance.
Introduction to Azure monitor
Praveen Nair is a program director at Adfolks LLC and formerly held roles at Orion Business Innovation and PIT Solutions. He is a Microsoft MVP and certified in various Microsoft, PMP, and CSPO programs. Azure Monitor is a monitoring solution that collects, analyzes, and acts on telemetry data from Azure and on-premises environments. It helps maximize application performance and availability and proactively identify problems. Azure Monitor provides a unified view of applications, infrastructure, and networks using collected metrics and logs analyzed with Kusto query language.
How do you eat an elephant
This document discusses how to design software architectures that support deferred decision making. It advocates taking a piecemeal approach, making incremental changes to individual technologies over time while keeping other aspects stable. This allows innovating quickly while managing risk. It provides two case studies of architectures designed this way for power management on a farm and handling meter data. The meter data solution uses Akka.Net for its ability to scale flexibly with needs, integrate new options easily, and support deferring decisions about databases and other technologies.
Integrate 2017 unlock azure hybrid integration with biz talk - ws
My presentation on Integrate 2017:
BizTalk Server can be well positioned to become a gateway to hybrid integration scenarios with Azure, leveraging from its adapter suite to achieve integration with Azure - from Logic Apps and Service Bus queues, topic and relays, to REST based Web APIs and Azure Functions.
Within this session, Wagner Silveira will explore the alternatives to connect BizTalk to the Azure cloud and back, identifying possible scenarios, and highlighting how BizTalk out of the box functionality can be leveraged to implement integration with Azure.
Open Source Operations Analytics With Elastic
This document discusses using the Elastic Stack, which is an open source analytics stack for log analytics, system metrics analytics, and application metrics analytics. It includes Elasticsearch for indexing and searching data, Kibana for visualizing data, Beats for collecting and shipping data to Elasticsearch, and Logstash for processing pipelines. The document provides an overview of these tools and includes a demo.
Business Intelligence is Not an Oxymoron
Our post recession economy is demanding better decision making in a more timely and effective manner. Business Intelligence (BI) software is the next tool you can't do without! From financial reporting to budgeting, company consolidation to sales analysis, we'll show you creative and powerful ways to utilize Sage's BI tools. If you're looking for a software package that is going to provide you the information you need, when you need it, in a format you can understand, then you simply must attend this session.
Application migration in data centers
Athena Security provides engineering automation solutions to help companies migrate applications and data centers. Their offline configuration-based analytics technology collects attributes of network devices and enables engineering automation for large transformation projects. Their data center migration automation modules help identify which applications need to be moved, address remapping requirements, and migrate firewall rules between source and target environments, providing productivity gains and optimizing engineering scope, schedules, budgets, and ROI.
Full Stack Monitoring with Azure Monitor
The full-stack monitoring solutions within Azure Monitor is a boon for DevOps & SRE professionals as they can achieve complete observability of all the applications at a centralized location. Be it troubleshooting issues within your application, infrastructure or network, a unified monitoring solution ensures that you can diagnose problems at one place and fix them within
This webinar talks about how Azure Monitor has eased the monitoring of complex modern applications, whether cloud-based or on-premise. It answers questions like -
~ How to quickly detect and diagnose issues across applications?
~ How to manage infrastructure concerns like those in VMs or containers?
~ How to gain insights from your monitoring data?
~ How to support operations at scale?
Empowering Real Time Patient Care Through Spark Streaming
Takeda’s Plasma Derived Therapies (PDT) business unit has recently embarked on a project to use Spark Streaming on Databricks to empower how they deliver value to their Plasma Donation centers. As patients come in and interface without clinics, we store and track all of the patient interactions in real time and deliver outputs and results based on said interactions. The current problem with our existing architecture is that it is very expensive to maintain and has an unsustainable number of failure points. Spark Streaming is essential for allowing this use case because it allows for a more robust ETL pipeline. With Spark Streaming, we are able to replace our existing ETL processes (that are based on Lamdbas, step functions, triggered jobs, etc) into a purely stream driven architecture.
Data is brought into our s3 raw layer as a large set of CSV files through AWS DMS and Informatica IICS as these services bring data from on-prem systems into our cloud layer. We have a stream currently running which takes these raw files up and merges them into Delta tables established in the bronze/stage layer. We are using AWS Glue as the metadata provider for all of these operations. From the stage layer, we have another set of streams using the stage Delta tables as their source, which transform and conduct stream to stream lookups before writing the enriched records into RDS (silver/prod layer). Once the data has been merged into RDS we have a DMS task which lifts the data back into S3 as CSV files. We have a small intermediary stream which merge these CSV files into corresponding delta tables, from which we have our gold/analytic streams. The on-prem systems are able to speak to the silver layer and allow for the near real-time latency that our patient care centers require.
Transformer Management . Full Lifecycle Support Using GIS and a Web Applicat...
NPU underwent an effort to migrate their Transformer Management system from an Access database to a web application from SSP Innovations. All transformer data was migrated to the web application, which provided better access and control over the data. Customizations were then implemented to integrate the web application into NPU’s versioned GIS. This approach to transformer management reduced data redundancy and prevented data inaccuracy.
DEVNET-1129 WAN Automation Engine - Develop Traffic Aware Applications Using ...
This document discusses the Cisco WAN Automation Engine (WAE), which provides network optimization, automation, modeling, and predictive analysis capabilities. It analyzes historical and real-time data to find hot spots and improve network efficiency. The WAE includes programmatic network control, extensible data models, and intelligent traffic balancing. It consists of a network planning suite, visualization/analytics tools, and optimization/prediction functions that are accessed through REST APIs. Example applications include optimizing bandwidth placement, automated tunnel management, inventory/maintenance tools, offline planning and analysis, and visual analytics. Use cases involve a unified multi-layer view and support for segment routing.
Effortless HVAC simulation using ApacheHVAC
This document provides an agenda and overview of an introduction webinar on ApacheHVAC. The agenda includes welcome remarks, an introduction to ApacheHVAC by Niall Gibson, and a demonstration of the ApacheHVAC Wizard and autosizing features by Hans Dhargalkar, followed by a question and answer session. Niall Gibson's introduction discusses the need for ApacheHVAC due to the climate emergency and the technology's ability to close the performance gap between predicted and actual building performance to 5-10% by using dynamic simulation models and operational data from actual buildings. The ApacheHVAC Wizard is highlighted as simplifying the process and generating load and system sizing reports.
StreamAnalytix - Multi-Engine Streaming Analytics Platform
StreamAnalytix 2.0 is a multi-engine streaming analytics platform that allows users to deploy multiple streaming engines depending on their use case requirements. It features an easy to use drag-and-drop UI, support for predictive analytics, machine learning, and real-time dashboards. The platform provides a level of abstraction that gives customers flexibility in choosing the best streaming engine for their needs.
Enterprise Performance Planning
Massive scale with no fear and no secrets for Apigee and our customers. Both for our cloud or their data centers. At I Love APIs 2014 Nicola Cardace, a global performance practice lead at Apigee along with Aaron Strey, senior engineer at Target walked us through a customer success story. A journey into zen-like discipline, obsessive customer focus where the secrets of the mastery will be disclosed. A report about the delivery of architectures at scale and how Apigee applies thought processes during a customer engagement.
DS_2016_StreamAnalytix_real_time_streaming_analytics_platform
StreamAnalytix 2.0 is a real-time data analytics platform that offers multi-engine support, allowing users to choose the best streaming engine for their use case. It provides an easy drag-and-drop UI and supports technologies like Spark Streaming, Kafka, and Storm. StreamAnalytix enables enterprises to analyze and respond to events in real time at big data scale.
Monitoring @ scale spot dy
SpotDy provides a unified monitoring solution that collects data from various systems and services, including applications, databases, networks, operating systems, and virtual machines. It enables monitoring, alerting, and root cause analysis across these diverse environments. The solution aims to provide full visibility into IT operations through log search, visualization of metrics and KPIs, and real-time detection of anomalies and issues.
Integrating the Mobile Workforce with OMS
Connexus Energy standardized on Clevest’s Mobile Workforce applications and Schneider Electric’s Responder product for Outage Management, partnering with SSP Innovations and Clevest to build the bridge between the two products. SSP and Clevest integrated their systems using a Multispeak interface for outage data. Attend this session to learn more about how the two vendors collaborated with Connexus on the integration process, and the results achieved.
DEVNET-1159 Deep Dive with the Cisco WAN Automation Engine
The Cisco WAN Automation Engine (WAE) is multivendor software designed to automate, plan, build and optimize your network. This deep dive session will focus on WAE, the problems it solves and how it solves them
Boost dataviz with Python, OW2online, June 2020
The new R/Python widget allows to embed R and Python scripts directly within a cockpit filling a gap between datavisualization and datascience. With this widget, datascientists are able to integrate python facilities in a heterogeneous and multi-source environment and to present advanced analytics to a broader audience. Presentation by Marco Balestri, Knowage Lab, Engineering Group.
From Sensors to Insights: How IoT is Transforming Fundamental Industries
The document discusses how IoT is transforming fundamental industries through digitization. It provides examples of how IoT infrastructure collects real-time data from sensors and transmits it over networks to applications and analytics for insights. This allows industries to improve operations through applications like predictive maintenance, continuous optimization, and anomaly detection. Specific use cases described include monitoring and optimizing hydroponic farm environments, connecting cannabis grow operations, extracting equipment performance data from oil and gas operations, and addressing challenges in traditional agriculture through IoT solutions.
Kubernetes Infra 2.0
The document outlines an infrastructure 2.0 approach based on cloud native technologies. It advocates for infrastructure as code, test-driven deployments, open source tools, and seamless developer workflows. The approach uses microservices, containers, service meshes, and orchestration with Kubernetes. It recommends tools like Terraform, Jenkins, Kubernetes, Istio, Prometheus, Elasticsearch and Airflow for infrastructure provisioning, CI/CD, container management, service mesh, monitoring, logging, and job scheduling. It also discusses Docker, data pipelines, and processes for onboarding new applications.
Lessons learned from embedding Cassandra in xPatterns
The document discusses lessons learned from embedding Cassandra in the xPatterns big data analytics platform. It provides an agenda that includes discussing Cassandra usage in xPatterns, the necessary developments like data modeling optimizations, robust REST APIs, geo-replication, and a demo of exporting to NoSQL APIs. Key lessons learned since Cassandra versions 0.6 to 2.0.6 are also summarized, such as the need for consistent clocks, reducing column families, and monitoring.
More Related Content
What's hot
Big Data Expo 2015 - Microsoft Transform you data into intelligent action
Er zijn veel beloftes rondom Big Data. Iedereen praat erover maar hoe begin je zonder meteen een grote business case op te moeten stellen. Cortana Analytics Suite is laagdrempelig en een makkelijk toegankelijk Advanced Analytics platform om je ideeën op haalbaarheid te testen maar daarna ook door te groeien naar (grote) productie implementaties. In deze sessie krijg je een overzicht van de scenario’s die Cortana Analytics biedt. Denk daar bij aan IOT, Machine Learning maar ook Churn Analysis, Forecasting en Predictive Maintenance.
Introduction to Azure monitor
Praveen Nair is a program director at Adfolks LLC and formerly held roles at Orion Business Innovation and PIT Solutions. He is a Microsoft MVP and certified in various Microsoft, PMP, and CSPO programs. Azure Monitor is a monitoring solution that collects, analyzes, and acts on telemetry data from Azure and on-premises environments. It helps maximize application performance and availability and proactively identify problems. Azure Monitor provides a unified view of applications, infrastructure, and networks using collected metrics and logs analyzed with Kusto query language.
How do you eat an elephant
This document discusses how to design software architectures that support deferred decision making. It advocates taking a piecemeal approach, making incremental changes to individual technologies over time while keeping other aspects stable. This allows innovating quickly while managing risk. It provides two case studies of architectures designed this way for power management on a farm and handling meter data. The meter data solution uses Akka.Net for its ability to scale flexibly with needs, integrate new options easily, and support deferring decisions about databases and other technologies.
Integrate 2017 unlock azure hybrid integration with biz talk - ws
My presentation on Integrate 2017:
BizTalk Server can be well positioned to become a gateway to hybrid integration scenarios with Azure, leveraging from its adapter suite to achieve integration with Azure - from Logic Apps and Service Bus queues, topic and relays, to REST based Web APIs and Azure Functions.
Within this session, Wagner Silveira will explore the alternatives to connect BizTalk to the Azure cloud and back, identifying possible scenarios, and highlighting how BizTalk out of the box functionality can be leveraged to implement integration with Azure.
Open Source Operations Analytics With Elastic
This document discusses using the Elastic Stack, which is an open source analytics stack for log analytics, system metrics analytics, and application metrics analytics. It includes Elasticsearch for indexing and searching data, Kibana for visualizing data, Beats for collecting and shipping data to Elasticsearch, and Logstash for processing pipelines. The document provides an overview of these tools and includes a demo.
Business Intelligence is Not an Oxymoron
Our post recession economy is demanding better decision making in a more timely and effective manner. Business Intelligence (BI) software is the next tool you can't do without! From financial reporting to budgeting, company consolidation to sales analysis, we'll show you creative and powerful ways to utilize Sage's BI tools. If you're looking for a software package that is going to provide you the information you need, when you need it, in a format you can understand, then you simply must attend this session.
Application migration in data centers
Athena Security provides engineering automation solutions to help companies migrate applications and data centers. Their offline configuration-based analytics technology collects attributes of network devices and enables engineering automation for large transformation projects. Their data center migration automation modules help identify which applications need to be moved, address remapping requirements, and migrate firewall rules between source and target environments, providing productivity gains and optimizing engineering scope, schedules, budgets, and ROI.
Full Stack Monitoring with Azure Monitor
The full-stack monitoring solutions within Azure Monitor is a boon for DevOps & SRE professionals as they can achieve complete observability of all the applications at a centralized location. Be it troubleshooting issues within your application, infrastructure or network, a unified monitoring solution ensures that you can diagnose problems at one place and fix them within
This webinar talks about how Azure Monitor has eased the monitoring of complex modern applications, whether cloud-based or on-premise. It answers questions like -
~ How to quickly detect and diagnose issues across applications?
~ How to manage infrastructure concerns like those in VMs or containers?
~ How to gain insights from your monitoring data?
~ How to support operations at scale?
Empowering Real Time Patient Care Through Spark Streaming
Takeda’s Plasma Derived Therapies (PDT) business unit has recently embarked on a project to use Spark Streaming on Databricks to empower how they deliver value to their Plasma Donation centers. As patients come in and interface without clinics, we store and track all of the patient interactions in real time and deliver outputs and results based on said interactions. The current problem with our existing architecture is that it is very expensive to maintain and has an unsustainable number of failure points. Spark Streaming is essential for allowing this use case because it allows for a more robust ETL pipeline. With Spark Streaming, we are able to replace our existing ETL processes (that are based on Lamdbas, step functions, triggered jobs, etc) into a purely stream driven architecture.
Data is brought into our s3 raw layer as a large set of CSV files through AWS DMS and Informatica IICS as these services bring data from on-prem systems into our cloud layer. We have a stream currently running which takes these raw files up and merges them into Delta tables established in the bronze/stage layer. We are using AWS Glue as the metadata provider for all of these operations. From the stage layer, we have another set of streams using the stage Delta tables as their source, which transform and conduct stream to stream lookups before writing the enriched records into RDS (silver/prod layer). Once the data has been merged into RDS we have a DMS task which lifts the data back into S3 as CSV files. We have a small intermediary stream which merge these CSV files into corresponding delta tables, from which we have our gold/analytic streams. The on-prem systems are able to speak to the silver layer and allow for the near real-time latency that our patient care centers require.
Transformer Management . Full Lifecycle Support Using GIS and a Web Applicat...
NPU underwent an effort to migrate their Transformer Management system from an Access database to a web application from SSP Innovations. All transformer data was migrated to the web application, which provided better access and control over the data. Customizations were then implemented to integrate the web application into NPU’s versioned GIS. This approach to transformer management reduced data redundancy and prevented data inaccuracy.
DEVNET-1129 WAN Automation Engine - Develop Traffic Aware Applications Using ...
This document discusses the Cisco WAN Automation Engine (WAE), which provides network optimization, automation, modeling, and predictive analysis capabilities. It analyzes historical and real-time data to find hot spots and improve network efficiency. The WAE includes programmatic network control, extensible data models, and intelligent traffic balancing. It consists of a network planning suite, visualization/analytics tools, and optimization/prediction functions that are accessed through REST APIs. Example applications include optimizing bandwidth placement, automated tunnel management, inventory/maintenance tools, offline planning and analysis, and visual analytics. Use cases involve a unified multi-layer view and support for segment routing.
Effortless HVAC simulation using ApacheHVAC
This document provides an agenda and overview of an introduction webinar on ApacheHVAC. The agenda includes welcome remarks, an introduction to ApacheHVAC by Niall Gibson, and a demonstration of the ApacheHVAC Wizard and autosizing features by Hans Dhargalkar, followed by a question and answer session. Niall Gibson's introduction discusses the need for ApacheHVAC due to the climate emergency and the technology's ability to close the performance gap between predicted and actual building performance to 5-10% by using dynamic simulation models and operational data from actual buildings. The ApacheHVAC Wizard is highlighted as simplifying the process and generating load and system sizing reports.
StreamAnalytix - Multi-Engine Streaming Analytics Platform
StreamAnalytix 2.0 is a multi-engine streaming analytics platform that allows users to deploy multiple streaming engines depending on their use case requirements. It features an easy to use drag-and-drop UI, support for predictive analytics, machine learning, and real-time dashboards. The platform provides a level of abstraction that gives customers flexibility in choosing the best streaming engine for their needs.
Enterprise Performance Planning
Massive scale with no fear and no secrets for Apigee and our customers. Both for our cloud or their data centers. At I Love APIs 2014 Nicola Cardace, a global performance practice lead at Apigee along with Aaron Strey, senior engineer at Target walked us through a customer success story. A journey into zen-like discipline, obsessive customer focus where the secrets of the mastery will be disclosed. A report about the delivery of architectures at scale and how Apigee applies thought processes during a customer engagement.
DS_2016_StreamAnalytix_real_time_streaming_analytics_platform
StreamAnalytix 2.0 is a real-time data analytics platform that offers multi-engine support, allowing users to choose the best streaming engine for their use case. It provides an easy drag-and-drop UI and supports technologies like Spark Streaming, Kafka, and Storm. StreamAnalytix enables enterprises to analyze and respond to events in real time at big data scale.
Monitoring @ scale spot dy
SpotDy provides a unified monitoring solution that collects data from various systems and services, including applications, databases, networks, operating systems, and virtual machines. It enables monitoring, alerting, and root cause analysis across these diverse environments. The solution aims to provide full visibility into IT operations through log search, visualization of metrics and KPIs, and real-time detection of anomalies and issues.
Integrating the Mobile Workforce with OMS
Connexus Energy standardized on Clevest’s Mobile Workforce applications and Schneider Electric’s Responder product for Outage Management, partnering with SSP Innovations and Clevest to build the bridge between the two products. SSP and Clevest integrated their systems using a Multispeak interface for outage data. Attend this session to learn more about how the two vendors collaborated with Connexus on the integration process, and the results achieved.
DEVNET-1159 Deep Dive with the Cisco WAN Automation Engine
The Cisco WAN Automation Engine (WAE) is multivendor software designed to automate, plan, build and optimize your network. This deep dive session will focus on WAE, the problems it solves and how it solves them
Boost dataviz with Python, OW2online, June 2020
The new R/Python widget allows to embed R and Python scripts directly within a cockpit filling a gap between datavisualization and datascience. With this widget, datascientists are able to integrate python facilities in a heterogeneous and multi-source environment and to present advanced analytics to a broader audience. Presentation by Marco Balestri, Knowage Lab, Engineering Group.
From Sensors to Insights: How IoT is Transforming Fundamental Industries
The document discusses how IoT is transforming fundamental industries through digitization. It provides examples of how IoT infrastructure collects real-time data from sensors and transmits it over networks to applications and analytics for insights. This allows industries to improve operations through applications like predictive maintenance, continuous optimization, and anomaly detection. Specific use cases described include monitoring and optimizing hydroponic farm environments, connecting cannabis grow operations, extracting equipment performance data from oil and gas operations, and addressing challenges in traditional agriculture through IoT solutions.
What's hot (20)
Big Data Expo 2015 - Microsoft Transform you data into intelligent action
Big Data Expo 2015 - Microsoft Transform you data into intelligent action
Integrate 2017 unlock azure hybrid integration with biz talk - ws
Integrate 2017 unlock azure hybrid integration with biz talk - ws
Empowering Real Time Patient Care Through Spark Streaming
Empowering Real Time Patient Care Through Spark Streaming
Transformer Management . Full Lifecycle Support Using GIS and a Web Applicat...
Transformer Management . Full Lifecycle Support Using GIS and a Web Applicat...
DEVNET-1129 WAN Automation Engine - Develop Traffic Aware Applications Using ...
DEVNET-1129 WAN Automation Engine - Develop Traffic Aware Applications Using ...
StreamAnalytix - Multi-Engine Streaming Analytics Platform
StreamAnalytix - Multi-Engine Streaming Analytics Platform
DS_2016_StreamAnalytix_real_time_streaming_analytics_platform
DS_2016_StreamAnalytix_real_time_streaming_analytics_platform
DEVNET-1159 Deep Dive with the Cisco WAN Automation Engine
DEVNET-1159 Deep Dive with the Cisco WAN Automation Engine
From Sensors to Insights: How IoT is Transforming Fundamental Industries
From Sensors to Insights: How IoT is Transforming Fundamental Industries
Similar to Open source historian
Kubernetes Infra 2.0
The document outlines an infrastructure 2.0 approach based on cloud native technologies. It advocates for infrastructure as code, test-driven deployments, open source tools, and seamless developer workflows. The approach uses microservices, containers, service meshes, and orchestration with Kubernetes. It recommends tools like Terraform, Jenkins, Kubernetes, Istio, Prometheus, Elasticsearch and Airflow for infrastructure provisioning, CI/CD, container management, service mesh, monitoring, logging, and job scheduling. It also discusses Docker, data pipelines, and processes for onboarding new applications.
Lessons learned from embedding Cassandra in xPatterns
The document discusses lessons learned from embedding Cassandra in the xPatterns big data analytics platform. It provides an agenda that includes discussing Cassandra usage in xPatterns, the necessary developments like data modeling optimizations, robust REST APIs, geo-replication, and a demo of exporting to NoSQL APIs. Key lessons learned since Cassandra versions 0.6 to 2.0.6 are also summarized, such as the need for consistent clocks, reducing column families, and monitoring.
Deep Dive Into Elasticsearch: Establish A Powerful Log Analysis System With E...
We will have a deep view of the Elastic Stack - which is the next evolution of ELK Stack, learn how to build the powerful log analysis system with Elastic Stack and have an overview of specifications and comparison details between the self-managed cluster vs Elastic stack provided as SaaS from cloud providers.
Intro to InfluxDB
In this training webinar, we will walk you through the basics of InfluxDB – the purpose-built time series database. InfluxDB has everything you need from a time series platform in a single binary – a multi-tenanted time series database, UI and dashboarding tools, background processing and monitoring agent. This one-hour session will include the training and time for live Q&A.
What you will learn
Core concepts of time series databases
An overview of the InfluxDB platform
How to ingesting and query data in InfluxDB
ADDO Open Source Observability Tools
The adoption of container native and cloud native development practices presents new operational challenges. Today’s microservice environments are polyglot, distributed, container-based, highly-scalable, and ephemeral. To understand your system, you need to be able to follow the life of a request across numerous components distributed in multiple environments. Without the proper tools it can feel impossible to determine a root cause of an issue. This requires a new approach to operations. We will review a series of open source observability tools for logging, monitoring, and tracing to help developers achieve operational excellence for running container-based workloads.
Serverless Logging Architecture
This document describes building a serverless log analytics platform. It discusses the challenges with conventional logging architectures that require managing servers and have scalability issues. The document then introduces a serverless approach using AWS services like Kinesis, S3, Elasticsearch, and Kibana that allows logging infrastructure to scale infinitely with no server management. Code examples show how to set up logging pipelines to stream logs in real time to storage and analytics using this serverless architecture.
Kafka: Journey from Just Another Software to Being a Critical Part of PayPal ...
Apache Kafka is critical to PayPal's analytics platform. It handles a stream of over 20 billion events per day across 300 partitions. To democratize access to analytics data, PayPal built a Connect platform leveraging Kafka to process and send data in real-time to tools of customers' choice. The platform scales to process over 40 billion events daily using reactive architectures with Akka and Alpakka Kafka connectors to consume and publish events within Akka streams. Some challenges include throughput limited by partitions and issues requiring tuning for optimal performance.
Technology behind-real-time-log-analytics
This document discusses Real Time Log Analytics using the ELK (Elasticsearch, Logstash, Kibana) stack. It provides an overview of each component, including Elasticsearch for indexing and searching logs, Logstash for collecting, parsing, and enriching logs, and Kibana for visualizing and analyzing logs. It describes common use cases for log analytics like issue debugging and security analysis. It also covers challenges like non-consistent log formats and decentralized logs. The document includes examples of log entries from different systems and how ELK addresses issues like scalability and making logs easily searchable and reportable.
Rootconf 2017 - State of the Open Source monitoring landscape
A talk about various Open Source tools for availability and functional monitoring, time series and metrics as well log and event management.
Building real time data-driven products
This presentation will describe how to go beyond a "Hello world" stream application and build a real-time data-driven product. We will present architectural patterns, go through tradeoffs and considerations when deciding on technology and implementation strategy, and describe how to put the pieces together. We will also cover necessary practical pieces for building real products: testing streaming applications, and how to evolve products over time.
Presented at highloadstrategy.com 2016 by Øyvind Løkling (Schibsted Products & Technology), joint work with Lars Albertsson (independent, www.mapflat.com).
How to scale your PaaS with OVH infrastructure?
ForePaaS provides a platform for data infrastructure automation that allows customers to collect, store, transform and analyze data across multiple cloud providers or on-premise in a unified manner. Key features of the ForePaaS platform include being end-to-end, multi-cloud, providing a marketplace for sharing elements of work, and offering automated infrastructure that scales based on customer needs. ForePaaS has partnered with OVH to leverage their public cloud, private cloud, and bare metal server offerings to power ForePaaS infrastructure globally.
Oow2016 review--paas-microservices-
The document discusses Oracle's cloud services and products including Integration Cloud Service, Identity Cloud Service, API Platform Cloud Service, IoT Cloud Service, Stream Analytics, Insight Analytics, Self-Service Automation, Oracle Sites Cloud Service, Oracle Documents Cloud Service, Oracle Process Cloud Service, Oracle Messaging Cloud Service, Application Container Cloud Service, and Node.js. It provides overviews and roadmaps for each product and highlights new features.
CC -Unit4.pptx
Azure Synapse Analytics is a limitless analytics service that brings together data integration, enterprise data warehousing, and big data analytics. It provides the freedom to query data at scale using either serverless or dedicated options. Azure HDInsight allows the use of open source frameworks like Hadoop, Spark, Hive, and Kafka for processing large volumes of data. Azure Databricks offers environments for SQL, data science/engineering, and machine learning. The Azure IoT Hub enables scalable IoT solutions by allowing bidirectional communication between IoT applications and connected devices.
A Big Data Lake Based on Spark for BBVA Bank-(Oscar Mendez, STRATIO)
This document describes BBVA's implementation of a Big Data Lake using Apache Spark for log collection, storage, and analytics. It discusses:
1) Using Syslog-ng for log collection from over 2,000 applications and devices, distributing logs to Kafka.
2) Storing normalized logs in HDFS and performing analytics using Spark, with outputs to analytics, compliance, and indexing systems.
3) Choosing Spark because it allows interactive, batch, and stream processing with one system using RDDs, SQL, streaming, and machine learning.
INTERFACE by apidays 2023 - Data Collection Basics, Anais Dotis-Georgiou, Inf...
INTERFACE by apidays 2023
APIs for a “Smart” economy. Embedding AI to deliver Smart APIs and turn into an exponential organization
June 28 & 29, 2023
Data Collection Basics
Anais Dotis-Georgiou, Lead Developer Advocate at InfluxData
------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
How Crosser Built a Modern Industrial Data Historian with InfluxDB and Grafana
Crosser are the creators of Crosser Node, a streaming analytics platform. This real-time analytics engine is installed at the edge and pulls data from any sensor, PLC, DCS, MES, SCADA system or historian. Their drag-and-drop tool enables Industry 4.0 data collection and integration. Discover how Crosser’s easy-to-use IIoT monitoring platform empowers non-developers to connect IIoT machine and sensor data with cloud services.
In this webinar, Dr. Göran Appelquist will dive into:
Crosser’s approach to enabling better IIoT data analysis and anomaly detection
Their methodology to equipping their clients with ML models by supporting all Python-based frameworks
How Crosser uses InfluxDB time series platform for storage
Les logs, traces et indicateurs au service d'une observabilité unifiée
Découvrez comment Elasticsearch centralise le stockage des données et comment exploiter Kibana pour les analyser. Sans oublier l'accélération de l'identification, du diagnostic et de la résolution des problèmes.
Combining Logs, Metrics, and Traces for Unified Observability
Learn how Elasticsearch efficiently combines data in a single store and how Kibana is used to analyze it. Plus, see how recent developments help identify, troubleshoot, and resolve operational issues faster.
Intro to Telegraf
In this training webinar, Samantha Wang will walk you through the basics of Telegraf. Telegraf is the open source server agent which is used to collect metrics from your stacks, sensors and systems. It is InfluxDB’s native data collector that supports nearly 300 inputs and outputs. Learn how to send data from a variety of systems, apps, databases and services in the appropriate format to InfluxDB. Discover tips and tricks on how to write your own plugins. The know-how learned here can be applied to a multitude of use cases and sectors. This one-hour session will include the training and time for live Q&A.
Introduction to Apache Apex
Introduction to Apache Apex presented by Priyanka Gugale: Committer Apache Apex, DataTorrent engineer
Similar to Open source historian (20)
Lessons learned from embedding Cassandra in xPatterns
Lessons learned from embedding Cassandra in xPatterns
Deep Dive Into Elasticsearch: Establish A Powerful Log Analysis System With E...
Deep Dive Into Elasticsearch: Establish A Powerful Log Analysis System With E...
Kafka: Journey from Just Another Software to Being a Critical Part of PayPal ...
Kafka: Journey from Just Another Software to Being a Critical Part of PayPal ...
Rootconf 2017 - State of the Open Source monitoring landscape
Rootconf 2017 - State of the Open Source monitoring landscape
A Big Data Lake Based on Spark for BBVA Bank-(Oscar Mendez, STRATIO)
A Big Data Lake Based on Spark for BBVA Bank-(Oscar Mendez, STRATIO)
INTERFACE by apidays 2023 - Data Collection Basics, Anais Dotis-Georgiou, Inf...
INTERFACE by apidays 2023 - Data Collection Basics, Anais Dotis-Georgiou, Inf...
How Crosser Built a Modern Industrial Data Historian with InfluxDB and Grafana
How Crosser Built a Modern Industrial Data Historian with InfluxDB and Grafana
Les logs, traces et indicateurs au service d'une observabilité unifiée
Les logs, traces et indicateurs au service d'une observabilité unifiée
Combining Logs, Metrics, and Traces for Unified Observability
Combining Logs, Metrics, and Traces for Unified Observability
Recently uploaded
Hand Rolled Applicative User Validation Code Kata
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit Paris
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
GOING AOT WITH GRAALVM FOR SPRING BOOT (SPRING IO)
This session covers GraalVM & Spring Boot, Spring AOT, performance optimizations and using libraries
DDS-Security 1.2 - What's New? Stronger security for long-running systems
DDS Security Version 1.2 was adopted in 2024. This revision strengthens support for long runnings systems adding new cryptographic algorithms, certificate revocation, and hardness against DoS attacks.
Why Mobile App Regression Testing is Critical for Sustained Success_ A Detail...
A dynamic process unfolds in the intricate realm of software development, dedicated to crafting and sustaining products that effortlessly address user needs. Amidst vital stages like market analysis and requirement assessments, the heart of software development lies in the meticulous creation and upkeep of source code. Code alterations are inherent, challenging code quality, particularly under stringent deadlines.
What is Augmented Reality Image Tracking
Augmented Reality (AR) Image Tracking is a technology that enables AR applications to recognize and track images in the real world, overlaying digital content onto them. This enhances the user's interaction with their environment by providing additional information and interactive elements directly tied to physical images.
LORRAINE ANDREI_LEQUIGAN_HOW TO USE ZOOM
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
Need for Speed: Removing speed bumps from your Symfony projects ⚡️
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
原版定制美国纽约州立大学奥尔巴尼分校毕业证学位证书原版一模一样
原版一模一样【微信：741003700 】【美国纽约州立大学奥尔巴尼分校毕业证学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Vitthal Shirke Java Microservices Resume.pdf
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
GreenCode-A-VSCode-Plugin--Dario-Jurisic
Presentation about a VSCode plugin from Dario Jurisic at the GSD Community Stage meetup
Utilocate provides Smarter, Better, Faster, Safer Locate Ticket Management
Utilocate offers a comprehensive solution for locate ticket management by automating and streamlining the entire process. By integrating with Geospatial Information Systems (GIS), it provides accurate mapping and visualization of utility locations, enhancing decision-making and reducing the risk of errors. The system's advanced data analytics tools help identify trends, predict potential issues, and optimize resource allocation, making the locate ticket management process smarter and more efficient. Additionally, automated ticket management ensures consistency and reduces human error, while real-time notifications keep all relevant personnel informed and ready to respond promptly.
The system's ability to streamline workflows and automate ticket routing significantly reduces the time taken to process each ticket, making the process faster and more efficient. Mobile access allows field technicians to update ticket information on the go, ensuring that the latest information is always available and accelerating the locate process. Overall, Utilocate not only enhances the efficiency and accuracy of locate ticket management but also improves safety by minimizing the risk of utility damage through precise and timely locates.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit Paris
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
E-commerce Development Services- Hornet Dynamics
For any business hoping to succeed in the digital age, having a strong online presence is crucial. We offer Ecommerce Development Services that are customized according to your business requirements and client preferences, enabling you to create a dynamic, safe, and user-friendly online store.
Enterprise Resource Planning System in Telangana
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Energy consumption of Database Management - Florina Jonuzi
Presentation from Florina Jonuzi at the GSD Community Stage Meetup on June 06, 2024
Automated software refactoring with OpenRewrite and Generative AI.pptx.pdf
https://2024.springio.net/sessions/automated-software-refactoring-with-openrewrite-and-generative-ai/
LORRAINE ANDREI_LEQUIGAN_HOW TO USE WHATSAPP.pptx
WhatsApp offers simple, reliable, and private messaging and calling services for free worldwide. With end-to-end encryption, your personal messages and calls are secure, ensuring only you and the recipient can access them. Enjoy voice and video calls to stay connected with loved ones or colleagues. Express yourself using stickers, GIFs, or by sharing moments on Status. WhatsApp Business enables global customer outreach, facilitating sales growth and relationship building through showcasing products and services. Stay connected effortlessly with group chats for planning outings with friends or staying updated on family conversations.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
✅ Beginner-friendly!
✅ZERO upfront cost or any extra expenses
✅Risk-Free: 30-Day Money-Back Guarantee!
✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
#AIFusionBuddyReview,
#AIFusionBuddyFeatures,
#AIFusionBuddyPricing,
#AIFusionBuddyProsandCons,
#AIFusionBuddyTutorial,
#AIFusionBuddyUserExperience
#AIFusionBuddyforBeginners,
#AIFusionBuddyBenefits,
#AIFusionBuddyComparison,
#AIFusionBuddyInstallation,
#AIFusionBuddyRefundPolicy,
#AIFusionBuddyDemo,
#AIFusionBuddyMaintenanceFees,
#AIFusionBuddyNewbieFriendly,
#WhatIsAIFusionBuddy?,
#HowDoesAIFusionBuddyWorks
Microservice Teams - How the cloud changes the way we work
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
Recently uploaded (20)
Neo4j - Product Vision and Knowledge Graphs - GraphSummit Paris
Neo4j - Product Vision and Knowledge Graphs - GraphSummit Paris
GOING AOT WITH GRAALVM FOR SPRING BOOT (SPRING IO)
GOING AOT WITH GRAALVM FOR SPRING BOOT (SPRING IO)
DDS-Security 1.2 - What's New? Stronger security for long-running systems
DDS-Security 1.2 - What's New? Stronger security for long-running systems
Why Mobile App Regression Testing is Critical for Sustained Success_ A Detail...
Why Mobile App Regression Testing is Critical for Sustained Success_ A Detail...
Need for Speed: Removing speed bumps from your Symfony projects ⚡️
Need for Speed: Removing speed bumps from your Symfony projects ⚡️
Utilocate provides Smarter, Better, Faster, Safer Locate Ticket Management
Utilocate provides Smarter, Better, Faster, Safer Locate Ticket Management
Neo4j - Product Vision and Knowledge Graphs - GraphSummit Paris
Neo4j - Product Vision and Knowledge Graphs - GraphSummit Paris
Energy consumption of Database Management - Florina Jonuzi
Energy consumption of Database Management - Florina Jonuzi
Automated software refactoring with OpenRewrite and Generative AI.pptx.pdf
Automated software refactoring with OpenRewrite and Generative AI.pptx.pdf
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
Microservice Teams - How the cloud changes the way we work
Microservice Teams - How the cloud changes the way we work
Open source historian
- 1. Imagine if your Industrial Process Historian could have: • Scalable and Highly Available • Linear scalability to infinity • Clustering and Sharding • Context built-in, not bolted on • Not just a simple time-series archive • A flexible data schema with built-in, searchable meta-data • Stream Analytics Engine for complex events • Extensible, user-defined functions • Scalable, clustered computation • Asset Templates with Object Inheritance • Native REST API for integration • Stream Analytics Engine for complex events • Extensible, user-defined functions • Scalable, clustered computation • Data retention and aggregation management built in • An eco-system of visualization tools, constantly being developed • Alarm/Alert generation, notification and management • An Open-Source code base, allowing you to start for free It is available now, and it’s called Influx
- 3. Visualization Tools ChronografGrafanaSeeq • Seeq – For Process Engineers (www.seeq.com) • Next-gen time-series analysis tool • Simple Machine-Learning, Pattern recognition, and predictive modelling • Connectors for InfluxDB and OSI Pi, allowing staged migration • Grafana (grafana.com) • An open ecosystem of visualization tools • Connectors to many modern data tools • Chronograf • Influx Native visualization • System Admin
- 4. Spruik can get you started • Decades of experience with traditional Industrial Process Historians including: • OSI Pi • Wonderware • Ignition • Value Added Reseller of Seeq software • Authorized systems integrator for Influx application • Many applications require no software licences • Non-clustered applications up to 100,000 tags • OEE, SPC, Real-time Dashboards • Commercial extensions available • Software support • Clustering – for very large systems (Tested at 1 Billion tags) • Seeq Process Analytics Software • To find out more, contact me geoff.nunan@spruiktec.com