InfluxDB offers a common API across the entire platform. Discover what that means and how you can use the API to build solutions that deliver real value for developers.
See InfluxDB Tasks in action in this session. We’ll cover how to get started with tasks, how to set up invokable scripts, and look at some ways to use them.
InfluxDB Roadmap: What’s New and What’s ComingInfluxData
InfluxDB is the time series platform made for developers to build time-series-based applications quickly at scale. Discover why developers use InfluxDB to build real-time applications for analytics, IoT and cloud-native services in less time with less code. InfluxDB Cloud is a fast, elastic, serverless real-time monitoring platform, dashboarding engine, analytics service and event and metrics processor - it is available on AWS, Azure and Google Cloud.
Join Balaji Palani, Senior Director of Product Management, in this webinar as he demonstrates the the latest features of InfluxDB Cloud. This one-hour webinar will feature a product update and Q&A time.
Russ Savage [Ngrok] | InfluxDB QuickStart | InfluxDays NA 2021InfluxData
Learn how to get up and running with building a Python application built on the InfluxDB platform. Discover how to connect to InfluxDB from a client library, and best practices for user and data management for your time series application.
RESTful API – How to Consume, Extract, Store and Visualize Data with InfluxDB...InfluxData
Nowadays, every single modern application, system or solution does expose a RESTful API. On one hand, this is absolutely great and it has led to where we are today, having hundreds of other solutions or applications that can leverage these APIs, extend them, or even build on top of them.
On the other hand, we have difficulty monitoring these new and modern systems, applications or solutions.
In this session, we will learn how to query the data first using Swagger, when available, extract and parse the data that’s useful for us, store it in InfluxDB, and finally how to create beautiful and meaningful dashboards to have everything on a single pane of glass.
Tim Hall [InfluxData] | InfluxDays Keynote: InfluxDB Roadmap | InfluxDays NA ...InfluxData
Tim Hall, VP Products at InfluxDB, presented the InfluxDB roadmap. He discussed how InfluxDB is meeting developers where they are through browser-based tooling and IDE integration with VS Code. This allows developers to build time series applications rapidly using Flux directly in their preferred environment. He also outlined ongoing efforts to optimize developers' time to value through improved support for teams and collaboration, continued platform innovation, and ease of data collection and movement.
Monitoring, Alerting, and Tasks as Code by Russ Savage, Director of Product M...InfluxData
In this talk Russ will explore how to build tasks, alerting rules, and triggering events inside of InfluxDB 2.0 with the new Flux language. Russ will then showcase how to work this into a regular development flow by using command line tools for testing, source control as the source of truth, and testing against production data.
Tim Hall [InfluxData] | InfluxDB Roadmap | InfluxDays Virtual Experience NA 2020InfluxData
Tim Hall, VP of Products at InfluxData, discusses InfluxDB's roadmap. InfluxDB 2.0 is now generally available. Next steps include advancing Flux, improving performance, and adding operational controls. Kapacitor will enable using existing investments with InfluxDB 2.x. Future plans involve expanded metrics, self-service backup/import, cloud-native data acquisition, and connecting edge devices to the cloud. The roadmap aims to help developers build applications and help operations teams administer systems.
Introduction to InfluxDB 2.0 & Your First Flux Query by Sonia Gupta, Develope...InfluxData
Bring your laptop ready to go(*) and get started with InfluxDB 2.0 and how to build your first set of dashboards and Flux queries.
* Prerequisites: InfluxDB 2.0 and Telegraf need to be installed on your laptop before the session in order to follow along.
Mya Longmire [InfluxData] | Time to Awesome Demo of the Client Libraries and ...InfluxData
Overview of using the client libraries with InfluxDB v2 API. Demos of the management capabilities provided by the Python API and how end users can quickly develop with the entire InfluxDB platform.
Intro to InfluxDB 2.0 and Your First Flux Query by Sonia GuptaInfluxData
In this InfluxDays NYC 2019 talk, InfluxData Developer Advocate Sonia Gupta will provide an introduction to InfluxDB 2.0 and a review of the new features. She will demonstrate how to install it, insert data, and build your first Flux query.
Jorge de la Cruz [Veeam Software] | RESTful API – How to Consume, Extract, St...InfluxData
This document provides an overview of consuming, extracting, storing, and visualizing data from a RESTful API with InfluxDB and Grafana. It introduces RESTful APIs and their components, then details how to make requests using HTTP methods. Next, it covers using Bash shell scripts with JQ to parse JSON responses and send data to InfluxDB for storage. Finally, it demonstrates how to build dashboards in Grafana to visualize time series data from InfluxDB for monitoring and analytics.
In this fireside chat, InfluxDB Cloud experts Balaji and Brian separate out the substance from the hype in the cryptocurrency industry and look at the role InfluxDB plays in the FinTech sector through some sample architectures.
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
Gary Fowler [InfluxData] | InfluxDB Scripting Languages | InfluxDays 2022InfluxData
The document discusses the scripting language options for InfluxDB, including Flux, InfluxQL, and SQL. It outlines the benefits of each language, such as Flux being optimized for ETL, monitoring, and alerting while allowing data transformation. The document also introduces the new script editor coming to InfluxDB Cloud, which will support multiple languages and help users learn through its instructional and schema browsing features. It aims to improve script editing performance and usability.
Virtual training intro to InfluxDB - June 2021InfluxData
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
COOL WAYS TO GET STARTED
Join us for a live InfluxDB training to learn how to easily ingest at scale in a matter of seconds to help you build powerful time-series-based applications. Join our 45-minute demos with experts who will showcase key InfluxDB features and answer questions live from the audience.
After attending this training, attendees will be able to:
Use sample data sets to try out various visualization options
Utilize the available data ingestion methods to construct a data pipeline to InfluxDB
Leverage Notebooks to collaborate with team members
Gain best practices for InfluxDB, Telegraf and Flux
Flux QL - Nexgen Management of Time Series Inspired by JSIvo Andreev
The time series landscape evolves fast to meet the aggressive challenges in IoT. Influx 2.0 Beta was released in the first days of 2020 and although being already Top 1 time series database it introduces a revolutionary change again. InfluxDB 2 is now generally available and its key features are originate from Flux - a functional and open source 4th generation analytical programming language inspired by JavaScript. Supported in VS Code it takes a new approach towards data exploration of time series data and enables some unmatched capabilities like enrichment and filtering of time series data with external data from RDBMS.
InfluxDB Client Libraries and Applications | Miroslav Malecha | BonitooInfluxData
The document discusses InfluxData client libraries and applications. It provides an overview of Bonitoo.io as an InfluxData consulting partner that delivers client libraries and other services using technologies like Java, JavaScript, C#, Python, SQL and machine learning. It then discusses specific client libraries for InfluxDB 2 in Java, C#, and Python (alpha) that provide query, write, and management APIs. It also covers using InfluxDB for embedded analytics in applications.
- InfluxDB Cloud is a fast, elastic, serverless real-time monitoring platform that provides time series data storage and analytics. It consolidates components from InfluxDB 1.x like Telegraf, InfluxDB, Chronograf, and Kapacitor into a single packaged solution.
- InfluxDB Cloud provides fast setup, serverless scalability, and free usage. It allows collecting data from various sources using Telegraf, provides powerful querying with Flux, and integrated visualization with dashboards.
- The cloud platform handles infrastructure maintenance and elastic scaling of services so users do not need to manage resources. It can be accessed via client libraries and APIs for programmatic integration.
Three Ways InfluxDB Enables You to Use Time Series Data Across Your Entire En...InfluxData
The more your team can collaborate around data, the more useful that data is. This is especially true for time-series data that is increasingly the heartbeat of your business. When your entire team can utilize time series data, they know the pulse of your devices, your equipment, your customers, and your software -- and can act accordingly.
In this webinar, product manager Russ Savage will show you three new ways for your team to collaborate around time-series data.
First, InfluxDB Notebooks let you create and share computational narratives that combine live code, visualizations, and explanatory notes, which can output to your InfluxDB Dashboards, Tasks, and Buckets. You can use Notebooks to better document your downsampling, data processing, incident investigations, postmortems, and runbooks.
Next, InfluxDB Annotations let you explain the why behind time series data trends. Annotations can be used to communicate how time series data is impacted by changes to software deployments (like configurations, upgrades, or outages), user behavior (Cyber Monday, deadlines), business activities (ad campaign, sales incentives), or external events (natural disasters, weather). With team members sharing contextual clues, you’ll more quickly determine root cause and restore services faster.
Finally, learn how to apply gitops practices to managing InfluxDB configurations, dashboards, tasks, and alerts, as well as Telegraf configurations, ensuring better collaboration workflows between developers, SREs, and every stakeholder involved in time series collection, enrichment, and analysis.
COOL WAYS TO GET STARTED
Join us for a live InfluxDB training to learn how to easily ingest at scale in a matter of seconds to help you build powerful time series based applications. Join our 45-minute demos with experts who will showcase key InfluxDB features and answer questions live from the audience.
After attending this training, attendees will be able to:
Use sample data sets to try out various visualization options
Utilize the available data ingestion methods to construct a data pipeline to InfluxDB
Leverage Notebooks to collaborate with team members
Gain best practices for InfluxDB, Telegraf and Flux
The document discusses updates and new features for InfluxDB Platform in year 1, including new AWS regions for InfluxDB Cloud, pricing and signup improvements, expanded Telegraf plugin and SDK support, InfluxDB templates for sharing configurations, performance improvements for querying and visualizing data, alerting capabilities, and open sourcing InfluxDB 2.0 with a single binary. It also advertises upcoming talks on integrating OSS at the edge and Cloud at the core, and seamlessly migrating from InfluxDB 1.x to 2.0.
Dashboards as Code by Tim Hall, VP of Product | InfluxDataInfluxData
We are all used to building dashboards for great visualizations, but the issue becomes how to share and collaborate on instrumentation and dashboard design. In this talk, Tim Hall will drill down on dashboard sharing, how to iterate and improve on dashboards within a repository, and lessons learned in sharing and collaborating on dashboards.
InfluxData builds a time series platform primarily deployed for DevOps and IoT monitoring. This talk presents several lessons learned while scaling the platform across a large number of deployments—from single server open source instances to highly available high-throughput clusters.
This talk presents a number of failure conditions that informed subsequent design choices. Ryan Betts (Director of Engineering at InfluxData) will discuss designing backpressure in an AP system with tens of thousands of resource-limited writers; trade-offs between monolithic and service-oriented database implementations; and lessons learned implementing multiple query processing systems.
Announcing: Native MQTT Integration with HiveMQ and InfluxDB Cloud InfluxData
InfluxData is excited to announce the launch of a new Native MQTT connector which enables developers to configure InfluxDB Cloud to subscribe to an MQTT topic with no additional software or agents. InfluxDB Cloud will natively convert MQTT messages to Line Protocol — resulting in a faster and simplified process. Discover how to get IoT data from a HiveMQ MQTT Broker into InfluxDB with a few easy steps. Explore how to subscribe to MQTT topics and how to parse MQTT messages to determine the relevant metrics you want to ingest into InfluxDB. Learn how you can use the Native MQTT collector to ingest industrial IoT metrics quickly and start visualizing, analyzing, and transforming your data.
Join this webinar as Kudzai Manditereza and Gary Fowler discuss:
Feature deep-dive into InfluxDB's new MQTT functionality
How to configure HiveMQ and InfluxDB to quickly start ingesting data
Demo — see a live demo of the new feature and MQTT messages flowing from sensors to an HiveMQ Broker to InfluxDB Cloud
Time Series to Vectors: Leveraging InfluxDB and Milvus for Similarity SearchZilliz
In this webinar, we’ll explain the powerful combination of time series data and vector similarity search to revolutionize urban traffic management. Learn how to transform raw sensor data from InfluxDB into meaningful vectors, enabling advanced pattern recognition and anomaly detection using Milvus, a high-performance vector database.
Through a practical use case of real-time traffic monitoring, we'll demonstrate how this innovative approach can swiftly identify and categorize traffic anomalies, from accidents to construction zones. This webinar is essential for data scientists, traffic engineers, and urban planners looking to harness the full potential of their time series data for complex, real-world applications.
InfluxData is excited to announce InfluxDB Clustered, the self-managed version of InfluxDB 3.0 with unparalleled flexibility, speed, performance, and scale. The evolution of InfluxDB Enterprise, InfluxDB Clustered is delivered as a collection of Kubernetes-based containers and services, which enables you to run and operate InfluxDB 3.0 where you need it, whether that's on-premises or in a private cloud environment. With this new enterprise offering, we’re excited to provide our customers with real-time queries, low-cost object storage, unlimited cardinality, and SQL language support – all with improved data access, support, and security! The newest version of InfluxDB was built on Apache Arrow, and through the open source ecosystem and integrations, extends the value of your time-stamped data.
Join this webinar to learn more about InfluxDB Clustered, and how to manage your large mission-critical workloads in the highly available database service offering!
In this webinar, Balaji Palani and Gunnar Aasen will dive into:
Key features of the new InfluxDB Clustered solution
Use cases for using the newest version of the purpose-built time series database
Live demo
During this 1-hour technical webinar, you’ll also get a chance to ask your questions live.
Best Practices for Leveraging the Apache Arrow EcosystemInfluxData
Apache Arrow is an open source project intended to provide a standardized columnar memory format for flat and hierarchical data. It enables more efficient analytics workloads for modern CPU and GPU hardware, which makes working with large data sets easier and cheaper.
InfluxData and Dremio are both members of the Apache Software Foundation (ASF). Dremio is a data lakehouse management service known for its scalability and capacity for direct querying across diverse data sources. InfluxDB is the purpose-built time series database, and InfluxDB 3.0 has a new columnar storage engine and uses the Arrow format for representing data and moving data to and from Parquet. Discover how InfluxDB and Dremio have advanced their solutions by relying on the Apache Arrow framework.
Join this live panel as Alex Merced and Anais Dotis-Georgiou dive into:
Advantages to utilizing the Apache Arrow ecosystem
Tips and tricks for implementing the columnar data structure
How developers can best utilize the ASF to innovate and contribute to new industry standards
More Related Content
Similar to Vinay Kumar [InfluxData] | InfluxDB API Overview | InfluxDays 2022 (20)
Mya Longmire [InfluxData] | Time to Awesome Demo of the Client Libraries and ...InfluxData
Overview of using the client libraries with InfluxDB v2 API. Demos of the management capabilities provided by the Python API and how end users can quickly develop with the entire InfluxDB platform.
Intro to InfluxDB 2.0 and Your First Flux Query by Sonia GuptaInfluxData
In this InfluxDays NYC 2019 talk, InfluxData Developer Advocate Sonia Gupta will provide an introduction to InfluxDB 2.0 and a review of the new features. She will demonstrate how to install it, insert data, and build your first Flux query.
Jorge de la Cruz [Veeam Software] | RESTful API – How to Consume, Extract, St...InfluxData
This document provides an overview of consuming, extracting, storing, and visualizing data from a RESTful API with InfluxDB and Grafana. It introduces RESTful APIs and their components, then details how to make requests using HTTP methods. Next, it covers using Bash shell scripts with JQ to parse JSON responses and send data to InfluxDB for storage. Finally, it demonstrates how to build dashboards in Grafana to visualize time series data from InfluxDB for monitoring and analytics.
In this fireside chat, InfluxDB Cloud experts Balaji and Brian separate out the substance from the hype in the cryptocurrency industry and look at the role InfluxDB plays in the FinTech sector through some sample architectures.
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
Gary Fowler [InfluxData] | InfluxDB Scripting Languages | InfluxDays 2022InfluxData
The document discusses the scripting language options for InfluxDB, including Flux, InfluxQL, and SQL. It outlines the benefits of each language, such as Flux being optimized for ETL, monitoring, and alerting while allowing data transformation. The document also introduces the new script editor coming to InfluxDB Cloud, which will support multiple languages and help users learn through its instructional and schema browsing features. It aims to improve script editing performance and usability.
Virtual training intro to InfluxDB - June 2021InfluxData
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
COOL WAYS TO GET STARTED
Join us for a live InfluxDB training to learn how to easily ingest at scale in a matter of seconds to help you build powerful time-series-based applications. Join our 45-minute demos with experts who will showcase key InfluxDB features and answer questions live from the audience.
After attending this training, attendees will be able to:
Use sample data sets to try out various visualization options
Utilize the available data ingestion methods to construct a data pipeline to InfluxDB
Leverage Notebooks to collaborate with team members
Gain best practices for InfluxDB, Telegraf and Flux
Flux QL - Nexgen Management of Time Series Inspired by JSIvo Andreev
The time series landscape evolves fast to meet the aggressive challenges in IoT. Influx 2.0 Beta was released in the first days of 2020 and although being already Top 1 time series database it introduces a revolutionary change again. InfluxDB 2 is now generally available and its key features are originate from Flux - a functional and open source 4th generation analytical programming language inspired by JavaScript. Supported in VS Code it takes a new approach towards data exploration of time series data and enables some unmatched capabilities like enrichment and filtering of time series data with external data from RDBMS.
InfluxDB Client Libraries and Applications | Miroslav Malecha | BonitooInfluxData
The document discusses InfluxData client libraries and applications. It provides an overview of Bonitoo.io as an InfluxData consulting partner that delivers client libraries and other services using technologies like Java, JavaScript, C#, Python, SQL and machine learning. It then discusses specific client libraries for InfluxDB 2 in Java, C#, and Python (alpha) that provide query, write, and management APIs. It also covers using InfluxDB for embedded analytics in applications.
- InfluxDB Cloud is a fast, elastic, serverless real-time monitoring platform that provides time series data storage and analytics. It consolidates components from InfluxDB 1.x like Telegraf, InfluxDB, Chronograf, and Kapacitor into a single packaged solution.
- InfluxDB Cloud provides fast setup, serverless scalability, and free usage. It allows collecting data from various sources using Telegraf, provides powerful querying with Flux, and integrated visualization with dashboards.
- The cloud platform handles infrastructure maintenance and elastic scaling of services so users do not need to manage resources. It can be accessed via client libraries and APIs for programmatic integration.
Three Ways InfluxDB Enables You to Use Time Series Data Across Your Entire En...InfluxData
The more your team can collaborate around data, the more useful that data is. This is especially true for time-series data that is increasingly the heartbeat of your business. When your entire team can utilize time series data, they know the pulse of your devices, your equipment, your customers, and your software -- and can act accordingly.
In this webinar, product manager Russ Savage will show you three new ways for your team to collaborate around time-series data.
First, InfluxDB Notebooks let you create and share computational narratives that combine live code, visualizations, and explanatory notes, which can output to your InfluxDB Dashboards, Tasks, and Buckets. You can use Notebooks to better document your downsampling, data processing, incident investigations, postmortems, and runbooks.
Next, InfluxDB Annotations let you explain the why behind time series data trends. Annotations can be used to communicate how time series data is impacted by changes to software deployments (like configurations, upgrades, or outages), user behavior (Cyber Monday, deadlines), business activities (ad campaign, sales incentives), or external events (natural disasters, weather). With team members sharing contextual clues, you’ll more quickly determine root cause and restore services faster.
Finally, learn how to apply gitops practices to managing InfluxDB configurations, dashboards, tasks, and alerts, as well as Telegraf configurations, ensuring better collaboration workflows between developers, SREs, and every stakeholder involved in time series collection, enrichment, and analysis.
COOL WAYS TO GET STARTED
Join us for a live InfluxDB training to learn how to easily ingest at scale in a matter of seconds to help you build powerful time series based applications. Join our 45-minute demos with experts who will showcase key InfluxDB features and answer questions live from the audience.
After attending this training, attendees will be able to:
Use sample data sets to try out various visualization options
Utilize the available data ingestion methods to construct a data pipeline to InfluxDB
Leverage Notebooks to collaborate with team members
Gain best practices for InfluxDB, Telegraf and Flux
The document discusses updates and new features for InfluxDB Platform in year 1, including new AWS regions for InfluxDB Cloud, pricing and signup improvements, expanded Telegraf plugin and SDK support, InfluxDB templates for sharing configurations, performance improvements for querying and visualizing data, alerting capabilities, and open sourcing InfluxDB 2.0 with a single binary. It also advertises upcoming talks on integrating OSS at the edge and Cloud at the core, and seamlessly migrating from InfluxDB 1.x to 2.0.
Dashboards as Code by Tim Hall, VP of Product | InfluxDataInfluxData
We are all used to building dashboards for great visualizations, but the issue becomes how to share and collaborate on instrumentation and dashboard design. In this talk, Tim Hall will drill down on dashboard sharing, how to iterate and improve on dashboards within a repository, and lessons learned in sharing and collaborating on dashboards.
InfluxData builds a time series platform primarily deployed for DevOps and IoT monitoring. This talk presents several lessons learned while scaling the platform across a large number of deployments—from single server open source instances to highly available high-throughput clusters.
This talk presents a number of failure conditions that informed subsequent design choices. Ryan Betts (Director of Engineering at InfluxData) will discuss designing backpressure in an AP system with tens of thousands of resource-limited writers; trade-offs between monolithic and service-oriented database implementations; and lessons learned implementing multiple query processing systems.
Announcing: Native MQTT Integration with HiveMQ and InfluxDB Cloud InfluxData
InfluxData is excited to announce the launch of a new Native MQTT connector which enables developers to configure InfluxDB Cloud to subscribe to an MQTT topic with no additional software or agents. InfluxDB Cloud will natively convert MQTT messages to Line Protocol — resulting in a faster and simplified process. Discover how to get IoT data from a HiveMQ MQTT Broker into InfluxDB with a few easy steps. Explore how to subscribe to MQTT topics and how to parse MQTT messages to determine the relevant metrics you want to ingest into InfluxDB. Learn how you can use the Native MQTT collector to ingest industrial IoT metrics quickly and start visualizing, analyzing, and transforming your data.
Join this webinar as Kudzai Manditereza and Gary Fowler discuss:
Feature deep-dive into InfluxDB's new MQTT functionality
How to configure HiveMQ and InfluxDB to quickly start ingesting data
Demo — see a live demo of the new feature and MQTT messages flowing from sensors to an HiveMQ Broker to InfluxDB Cloud
Time Series to Vectors: Leveraging InfluxDB and Milvus for Similarity SearchZilliz
In this webinar, we’ll explain the powerful combination of time series data and vector similarity search to revolutionize urban traffic management. Learn how to transform raw sensor data from InfluxDB into meaningful vectors, enabling advanced pattern recognition and anomaly detection using Milvus, a high-performance vector database.
Through a practical use case of real-time traffic monitoring, we'll demonstrate how this innovative approach can swiftly identify and categorize traffic anomalies, from accidents to construction zones. This webinar is essential for data scientists, traffic engineers, and urban planners looking to harness the full potential of their time series data for complex, real-world applications.
InfluxData is excited to announce InfluxDB Clustered, the self-managed version of InfluxDB 3.0 with unparalleled flexibility, speed, performance, and scale. The evolution of InfluxDB Enterprise, InfluxDB Clustered is delivered as a collection of Kubernetes-based containers and services, which enables you to run and operate InfluxDB 3.0 where you need it, whether that's on-premises or in a private cloud environment. With this new enterprise offering, we’re excited to provide our customers with real-time queries, low-cost object storage, unlimited cardinality, and SQL language support – all with improved data access, support, and security! The newest version of InfluxDB was built on Apache Arrow, and through the open source ecosystem and integrations, extends the value of your time-stamped data.
Join this webinar to learn more about InfluxDB Clustered, and how to manage your large mission-critical workloads in the highly available database service offering!
In this webinar, Balaji Palani and Gunnar Aasen will dive into:
Key features of the new InfluxDB Clustered solution
Use cases for using the newest version of the purpose-built time series database
Live demo
During this 1-hour technical webinar, you’ll also get a chance to ask your questions live.
Best Practices for Leveraging the Apache Arrow EcosystemInfluxData
Apache Arrow is an open source project intended to provide a standardized columnar memory format for flat and hierarchical data. It enables more efficient analytics workloads for modern CPU and GPU hardware, which makes working with large data sets easier and cheaper.
InfluxData and Dremio are both members of the Apache Software Foundation (ASF). Dremio is a data lakehouse management service known for its scalability and capacity for direct querying across diverse data sources. InfluxDB is the purpose-built time series database, and InfluxDB 3.0 has a new columnar storage engine and uses the Arrow format for representing data and moving data to and from Parquet. Discover how InfluxDB and Dremio have advanced their solutions by relying on the Apache Arrow framework.
Join this live panel as Alex Merced and Anais Dotis-Georgiou dive into:
Advantages to utilizing the Apache Arrow ecosystem
Tips and tricks for implementing the columnar data structure
How developers can best utilize the ASF to innovate and contribute to new industry standards
How Bevi Uses InfluxDB and Grafana to Improve Predictive Maintenance and Redu...InfluxData
Bevi are the creators of smart water dispensers which empower people to choose their desired beverage — flat or sparkling, their desired flavor and temperature. Since 2014, Bevi users have saved more than 350 million bottles and cans. Their "smart" water coolers have prevented the extraction of 1.4 trillion oz of oil from Earth and have saved 21.7 billion grams of CO2 from the atmosphere.
Discover how Bevi uses a time series database to enable better predictive maintenance and alerting of their entire ecosystem — including the hardware and software. They are using InfluxDB to collect sensor data in real-time remotely from their internet-connected machines about their status and activity — i.e., flavor and CO2 levels, water temp, filter status, etc. They a7re using these metrics to improve their customer experience and continuously improve their sustainability practices. Gain tips and tricks on how to best utilize InfluxDB's schema-less design.
Join this webinar as Spencer Gagnon dives into:
Bevi's approach to reducing organizations' carbon footprint — they are saving 50K+ bottles and cans annually
Their entire system architecture — including InfluxDB Cloud, Grafana, Kafka, and DigitalOcean
The importance of using time-stamped data to extend the life of their machines
Power Your Predictive Analytics with InfluxDBInfluxData
If you're using InfluxDB to store and manage your time series data, you're already off to a great start. But why stop there? In our upcoming webinar, we'll show you how to take your data analysis to the next level by building predictive analytics using a variety of tools and techniques.
We will demonstrate how to use Quix to create custom dashboards and visualizations that allow you to monitor your data in real-time. We'll also introduce you to Hugging Face, a powerful tool for building models that can predict future trends and identify anomalies. With these tools at your disposal, you'll be able to extract valuable insights from your data and make more informed decisions about the future. Don't miss out on this opportunity to improve your data analysis skills and take your business to the next level!
What you will learn:
Use InfluxDB to store and manage time series data
Utilize Quix and Hugging Face to build models, visualize trends, and identify anomalies
Extract valuable insights from your data
Improve your data analysis skills to make informed decision
How Teréga Replaces Legacy Data Historians with InfluxDB, AWS and IO-Base InfluxData
Are you considering replacing your legacy data historian and moving your OT data to the cloud? Join this technical webinar to learn how to adopt InfluxDB and IO Base - a digital platform used to improve operational efficiencies!
Teréga Solutions are the creators of digital solutions used to improve energy efficiencies and to address decarbonization challenges. Their network includes 5,000+ km of gas pipelines within France; they aim to help France attain carbon neutrality by 2050. With these impressive goals in mind, Teréga has created IO-Base — the digital platform to improve industrial performance, and increase profitability. Creating digital twins for their clients allows them to collect data from all production sites and view it in real time, from anywhere and at any time.
Discover how Teréga uses InfluxDB, Docker, and AWS to monitor its gas and hydrogen pipeline infrastructure. They chose to replace their legacy data historian with InfluxDB — the purpose built time series database. They are collecting more than 100K different metrics at various frequencies — some are collected every 5 seconds to only every 1-2 minutes. THey have reduced overall IT spend by 50% and collect 2x the amount of data at 20x frequency! By using various industrial protocols (Modbus, OPC-UA, etc.), Teréga improved output, reduced the TCO, and is now able to create added-value services: forecast, monitoring, predictive maintenance.
Join this webinar as Thomas Delquié dives into:
Teréga's approach to modernizing fossil fuel pipelines IT systems while improving yields and safety
Their centralized methodology to collecting sensor, hardware, and network metrics
The importance of time series data and why they chose InfluxDB
Build an Edge-to-Cloud Solution with the MING StackInfluxData
FlowForge enables organizations to reliably deliver Node-RED applications in a continuous, collaborative, and secure manner. Node-RED is the popular, low-code programming solution that makes it easy to connect different services using a visual programming environment. InfluxData is the creator of InfluxDB, the purpose-built time series database run by developers at scale and in any environment in the cloud, on-premises, or at the edge.
Jump-start monitoring your industrial IoT devices and discover how to build an edge-to-cloud solution with the MING stack. The MING stack includes Mosquitto/MQTT, InfluxDB, Node-RED, and Grafana. This solution can be used to improve fleet management, enable predictive maintenance of industrial machines and power generation equipment (i.e. turbines and generators) and increase safety practices (i.e. buildings, construction sites). Join this webinar to learn best practices from industrial IoT SME's.
In this webinar, Robert Marcer and Jay Clifford dive into:
Best practices for monitoring sensor data collected by everyone — from the edge to the factory
Tips and tricks for using Node-RED and InfluxDB together
Demo — see Node-RED and InfluxDB live
Meet the Founders: An Open Discussion About Rewriting Using RustInfluxData
The document is an agenda for a discussion between the CTO and founder of Ockam, Mrinal Wadhwa, and the CTO and founder of InfluxData, Paul Dix, about rewriting products using the Rust programming language. It includes an introduction of the founders, an overview of the discussion topics like why they decided to rewrite in Rust and the challenges they faced, how they got their engineers comfortable with Rust, tips they learned in the process, benefits gained from moving to Rust, and how their communities responded to the switch.
InfluxData is excited to announce the general availability of InfluxDB Cloud Dedicated! It is a fully managed time series database service running on cloud infrastructure resources that are dedicated to a single tenant. With this new offering, we’re excited to provide our customers with additional security options, and more custom configuration options to best suit customers’ workload requirements. Join this webinar to learn more about InfluxDB Cloud, and the new dedicated database service offering!
In this webinar, Balaji Palani and Gary Fowler will dive into:
Key features of the new InfluxDB Cloud Dedicated solution
Use cases for using the newest version of the purpose-built time series database
Live demo
During this 1-hour technical webinar, you’ll also get a chance to ask your questions live.
Gain Better Observability with OpenTelemetry and InfluxDB InfluxData
Many developers and DevOps engineers have become aware of using their observability data to gain greater insights into their infrastructure systems. InfluxDB is the purpose-built time series database used to collect metrics and gain observability into apps, servers, containers, and networks. Developers use InfluxDB to improve the quality and efficiency of their CI/CD pipelines. Start using InfluxDB to aggregate infrastructure and application performance monitoring metrics to enable better anomaly detection, root-cause analysis, and alerting.
This session will demonstrate how to record metrics, logs, and traces with one library — OpenTelemetry — and store them in one open source time series database — InfluxDB. Zoe will demonstrate how easy it is to set up the OpenTelemetry Operator for Kubernetes and to store and analyze your data in InfluxDB.
How a Heat Treating Plant Ensures Tight Process Control and Exceptional Quali...InfluxData
American Metal Processing Company ("AMP") is the US' largest commercial rotary heat treat facility with customers in the automotive, construction, military, and agriculture industries. They use their atmosphere-protected rotary retort furnaces to provide their clients with three primary hardening services: neutral hardening (quench and temper), carburizing, and carbonitriding.
This furnace style ensures consistent, uniform heat treatment process vs. traditional batch-or-belt-style furnaces; excels at processing high volumes of smaller parts with tight tolerances; and improves the strength and toughness of plain carbon steels. Discover why AMP’s use of Telegraf, InfluxDB, Node-RED, and Grafana allows them to gain 24/7 insights into their plant operations and metallurgical results. Learn how they use time-stamped data to gain accurate metrics about their consumables usage, furnace profiles, and machine status.
Join this webinar as Grant Pinkos dives into:
American Metal Processing's approach to heat treating in a digitized environment through connected systems
Their approach to collecting and measuring sensor data to enable predictive maintenance and improve product quality
Why they need a time series database for managing and analyzing vast amounts of time-stamped data
How Delft University's Engineering Students Make Their EV Formula-Style Race ...InfluxData
Delft University is the oldest and largest technical university in the Netherlands with 25,000+ students. Since 1999, they have had a team of students (undergraduate and graduate) designing, building, and racing cars, as part of the Formula Student worldwide competition. The competition has grown to include teams from 1K+ universities in 20+ countries. Students are responsible for all aspects of car manufacturing (research, construction, testing, developing, marketing, management, and fundraising). Delft University's team includes 90 students across disciplines.
Discover how Delft University's team uses Marple and InfluxDB to collect telemetry and sensor metrics while they develop, test, and race their electrics cars. They collect sensor data about their EV's control systems using a time series platform. During races, they are collecting IoT data about their batteries, accelerometer, gyroscope, tires, etc. The engineers are able to share important car stats during races which help the drivers tweak their driving decisions — all with the goal of winning. After races, the entire team are able to analyze data in Marple to understand what to do better next time. By using Marple + InfluxDB, their team are able to collect, share and analyze high frequency car data used to make their car faster at competitions.
Join this webinar as Robbin Baauw and Nero Vanbiervliet dive into:
Marple's approach to empowering engineers to organize, analyze, and visualize their data
Delft University's collaborative methodology to building and racing their Formula-style race car
How InfluxDB is crucial to their collaborative engineering and racing process
Introducing InfluxDB’s New Time Series Database Storage EngineInfluxData
InfluxData is excited to announce the general availability of InfluxDB Cloud's new storage engine! It is a cloud-native, real-time, columnar database optimized for time series data. InfluxDB's rebuilt core was coded in Rust and sits on top of Apache Arrow and DataFusion. InfluxData's team picked Apache Parquet as the persistent format. In this webinar, Paul Dix and Balaji Palani will demonstrate key product features including the removal of cardinality limits!
They will dive into:
The next phase of the InfluxDB platform
How using Apache Arrow's ecosystem has improved InfluxDB's performance and scalability
Key features of InfluxDB Cloud's new core — including SQL native support
Start Automating InfluxDB Deployments at the Edge with balena InfluxData
balena.io helps companies develop, deploy, update, and manage IoT devices. By using Linux containers and other cloud technologies, balena enables teams to quickly and easily build fleets of connected devices. Developers are able to use containers with the language of choice and pull IoT sensor data from 70+ different single board computers into balenaCloud. Discover how to use balena.io to automate your InfluxDB deployments at the edge!
During this one-hour session, experts from balena and InfluxData will demonstrate how to build and deploy your own air quality IoT solution. You will learn:
The fundamentals of IoT sensor deployment and management using balena.
How to use a time series platform to collect and visualize metrics from edge devices.
Tips and tricks to using balenaCloud to automate InfluxDB deployments and Telegraf configurations.
How to use InfluxDB's Edge Data Replication feature to collect sensor data and push it to InfluxDB Cloud for analysis.
No coding experience required, just a curiosity to start your own IoT adventure.
Understanding InfluxDB’s New Storage EngineInfluxData
Learn more about InfluxDB’s new storage engine! The team developed a cloud-native, real-time, columnar database optimized for time series data. We built it all in Rust and it sits on top of Apache Arrow and DataFusion. We chose Apache Parquet as the persistent format, which is an open source columnar data file format. This new storage engine provides InfluxDB Cloud users with new functionality, including the removal of cardinality limits, so developers can bring in massive amounts of time series data at scale.
In this webinar, Anais Dotis-Georgiou will dive into:
Requirements for rebuilding InfluxDB’s core
Key product features and timeline
How Apache Arrow’s ecosystem is used to meet those requirements
Stick around for a demo and live Q&A
Streamline and Scale Out Data Pipelines with Kubernetes, Telegraf, and InfluxDBInfluxData
RudderStack — the creators of the leading open source Customer Data Platform (CDP) — needed a scalable way to collect and store metrics related to customer events and processing times (down to the nanosecond). They provide their clients with data pipelines that simplify data collection from applications, websites, and SaaS platforms. RudderStack's solution enables clients to stream customer data in real time — they quickly deploy flexible data pipelines that send the data to the customer's entire stack without engineering headaches. Customers are able to stream data from any tool using their 16+ SDK's, and they are able to transform the data in-transit using JavaScript or Python. How does RudderStack use a time series platform to provide their customers with real-time analytics?
Join this webinar as Ryan McCrary dives into:
RudderStack's approach to streamlining data pipelines with their 180+ out-of-the-box integrations
Their data architecture including Kapacitor for alerting and Grafana for customized dashboards
Why using InfluxDB was crucial for them for fast data collection and providing single-sources of truths for their customers
Ward Bowman [PTC] | ThingWorx Long-Term Data Storage with InfluxDB | InfluxDa...InfluxData
Customers using ThingWorx and the Manufacturing Solutions often need to store property data longer than the Solutions default to. These customers are recommended to use InfluxDB, and this presentation will cover the key considerations for moving to InfluxDB vs the standard ThingWorx value streams. Join this session as Ward highlights ThingWorx’s solution and its easy implementation process.
Scott Anderson [InfluxData] | New & Upcoming Flux Features | InfluxDays 2022InfluxData
Two new features are coming to Flux that add flexibility
and functionality to your data workflow—polymorphic
labels and dynamic types. This session walks through
these new features and shows how they work.
This document outlines the schedule for Day 2 of InfluxDays 2022, an event hosted by InfluxData. The schedule includes sessions on building developer experience, how developers like to work, an overview of the InfluxDB developer console and API, demos of client libraries and the InfluxDB v2 API, tips for getting involved in the InfluxDB community and university, use cases for networking monitoring, crypto/fintech, monitoring/observability, and IIoT, and closing thoughts. Recordings of all sessions will be made available to registered attendees by November 7th. Upcoming events include advanced Flux training in London and resources through the community forums, Slack channel, and online university.
Steinkamp, Clifford [InfluxData] | Welcome to InfluxDays 2022 - Day 2 | Influ...InfluxData
This document contains the agenda for Day 2 of InfluxDays 2022, which includes:
- Welcome and introductory remarks from Zoe Steinkamp and Jay Clifford of InfluxData.
- Fireside chats and presentations on building great developer experiences, how developers like to work, and use cases for InfluxDB from companies like Tesla, InfluxData, and others.
- Sessions on the InfluxDB developer console, APIs, client libraries, getting involved in the community, accelerating time to awesome with InfluxDB University, and tips for analyzing IoT data with InfluxDB.
- Closing thoughts from Zoe Steinkamp and Jay Clifford, as well as
The document summarizes the agenda and sessions for Day 1 of InfluxDays 2022. It includes sessions on InfluxDB data collection, scripting languages like Flux, the InfluxDB time series engine, tasks, storage, and a closing discussion. The agenda involves talks from InfluxData employees on building applications with real-time data, navigating the developer experience, solving problems, the InfluxDB platform, community, education, use cases in crypto/fintech and IIoT, and tips/tricks for analysis.
Your startup on AWS - How to architect and maintain a Lean and Mean account J...angelo60207
Prevent infrastructure costs from becoming a significant line item on your startup’s budget! Serial entrepreneur and software architect Angelo Mandato will share his experience with AWS Activate (startup credits from AWS) and knowledge on how to architect a lean and mean AWS account ideal for budget minded and bootstrapped startups. In this session you will learn how to manage a production ready AWS account capable of scaling as your startup grows for less than $100/month before credits. We will discuss AWS Budgets, Cost Explorer, architect priorities, and the importance of having flexible, optimized Infrastructure as Code. We will wrap everything up discussing opportunities where to save with AWS services such as S3, EC2, Load Balancers, Lambda Functions, RDS, and many others.
Establish Visibility and Manage Risk in the Supply Chain with Anchore SBOMAnchore
Over 70% of any given software application consumes open source software (most likely not even from the original source) and only 15% of organizations feel confident in their risk management practices.
With the newly announced Anchore SBOM feature, teams can start safely consuming OSS while mitigating security and compliance risks. Learn how to import SBOMs in industry-standard formats (SPDX, CycloneDX, Syft), validate their integrity, and proactively address vulnerabilities within your software ecosystem.
Trends Artificial Intelligence - Mary MeekerClive Dickens
Mary Meeker’s 2024 AI report highlights a seismic shift in productivity, creativity, and business value driven by generative AI. She charts the rapid adoption of tools like ChatGPT and Midjourney, likening today’s moment to the dawn of the internet. The report emphasizes AI’s impact on knowledge work, software development, and personalized services—while also cautioning about data quality, ethical use, and the human-AI partnership. In short, Meeker sees AI as a transformative force accelerating innovation and redefining how we live and work.
Create Your First AI Agent with UiPath Agent BuilderDianaGray10
Join us for an exciting virtual event where you'll learn how to create your first AI Agent using UiPath Agent Builder. This session will cover everything you need to know about what an agent is and how easy it is to create one using the powerful AI-driven UiPath platform. You'll also discover the steps to successfully publish your AI agent. This is a wonderful opportunity for beginners and enthusiasts to gain hands-on insights and kickstart their journey in AI-powered automation.
Earthling Security’s Compliance as a Service (CaaS) delivers ongoing, end-to-end support to help organizations meet and maintain complex cybersecurity and regulatory standards like FedRAMP, FISMA, NIST 800-53, and more. We combine expert advisory, automated tools, and continuous monitoring to reduce your compliance burden, lower risk, and ensure you stay audit-ready — all through a scalable, subscription-based model.
Improving Developer Productivity With DORA, SPACE, and DevExJustin Reock
Ready to measure and improve developer productivity in your organization?
Join Justin Reock, Deputy CTO at DX, for an interactive session where you'll learn actionable strategies to measure and increase engineering performance.
Leave this session equipped with a comprehensive understanding of developer productivity and a roadmap to create a high-performing engineering team in your company.
Exploring the advantages of on-premises Dell PowerEdge servers with AMD EPYC processors vs. the cloud for small to medium businesses’ AI workloads
AI initiatives can bring tremendous value to your business, but you need to support your new AI workloads effectively. That means choosing the best possible infrastructure for your needs—and many companies are finding that the cloud isn’t right for them. According to a recent Rackspace survey of IT executives, 69 percent of companies have moved some of their applications on-premises from the cloud, with half of those citing security and compliance as the reason and 44 percent citing cost.
On-premises solutions provide a number of advantages. With full control over your security infrastructure, you can be certain that all compliance requirements remain firmly in the hands of your IT team. Opting for on-premises also gives you the ability to design your infrastructure to the precise needs of that team and your new AI workloads. Depending on the workload, you may also see performance benefits, along with more predictable costs. As you start to build your next AI initiative, consider an on-premises solution utilizing AMD EPYC processor-powered Dell PowerEdge servers.
Boosting MySQL with Vector Search -THE VECTOR SEARCH CONFERENCE 2025 .pdfAlkin Tezuysal
As the demand for vector databases and Generative AI continues to rise, integrating vector storage and search capabilities into traditional databases has become increasingly important. This session introduces the *MyVector Plugin*, a project that brings native vector storage and similarity search to MySQL. Unlike PostgreSQL, which offers interfaces for adding new data types and index methods, MySQL lacks such extensibility. However, by utilizing MySQL's server component plugin and UDF, the *MyVector Plugin* successfully adds a fully functional vector search feature within the existing MySQL + InnoDB infrastructure, eliminating the need for a separate vector database. The session explains the technical aspects of integrating vector support into MySQL, the challenges posed by its architecture, and real-world use cases that showcase the advantages of combining vector search with MySQL's robust features. Attendees will leave with practical insights on how to add vector search capabilities to their MySQL systems.
Domino IQ – What to Expect, First Steps and Use Casespanagenda
Webinar Recording: https://www.panagenda.com/webinars/domino-iq-what-to-expect-first-steps-and-use-cases/
HCL Domino iQ Server – From Ideas Portal to implemented Feature. Discover what it is, what it isn’t, and explore the opportunities and challenges it presents.
Key Takeaways
- What are Large Language Models (LLMs) and how do they relate to Domino iQ
- Essential prerequisites for deploying Domino iQ Server
- Step-by-step instructions on setting up your Domino iQ Server
- Share and discuss thoughts and ideas to maximize the potential of Domino iQ
Scaling GenAI Inference From Prototype to Production: Real-World Lessons in S...Anish Kumar
Presented by: Anish Kumar
LinkedIn: https://www.linkedin.com/in/anishkumar/
This lightning talk dives into real-world GenAI projects that scaled from prototype to production using Databricks’ fully managed tools. Facing cost and time constraints, we leveraged four key Databricks features—Workflows, Model Serving, Serverless Compute, and Notebooks—to build an AI inference pipeline processing millions of documents (text and audiobooks).
This approach enables rapid experimentation, easy tuning of GenAI prompts and compute settings, seamless data iteration and efficient quality testing—allowing Data Scientists and Engineers to collaborate effectively. Learn how to design modular, parameterized notebooks that run concurrently, manage dependencies and accelerate AI-driven insights.
Whether you're optimizing AI inference, automating complex data workflows or architecting next-gen serverless AI systems, this session delivers actionable strategies to maximize performance while keeping costs low.
Presentation given at the LangChain community meetup London
https://lu.ma/9d5fntgj
Coveres
Agentic AI: Beyond the Buzz
Introduction to AI Agent and Agentic AI
Agent Use case and stats
Introduction to LangGraph
Build agent with LangGraph Studio V2
Top 25 AI Coding Agents for Vibe Coders to Use in 2025.pdfSOFTTECHHUB
I've tested over 50 AI coding tools in the past year, and I'm about to share the 25 that actually work. Not the ones with flashy marketing or VC backing – the ones that will make you code faster, smarter, and with way less frustration.
Data Virtualization: Bringing the Power of FME to Any ApplicationSafe Software
Imagine building web applications or dashboards on top of all your systems. With FME’s new Data Virtualization feature, you can deliver the full CRUD (create, read, update, and delete) capabilities on top of all your data that exploit the full power of FME’s all data, any AI capabilities. Data Virtualization enables you to build OpenAPI compliant API endpoints using FME Form’s no-code development platform.
In this webinar, you’ll see how easy it is to turn complex data into real-time, usable REST API based services. We’ll walk through a real example of building a map-based app using FME’s Data Virtualization, and show you how to get started in your own environment – no dev team required.
What you’ll take away:
-How to build live applications and dashboards with federated data
-Ways to control what’s exposed: filter, transform, and secure responses
-How to scale access with caching, asynchronous web call support, with API endpoint level security.
-Where this fits in your stack: from web apps, to AI, to automation
Whether you’re building internal tools, public portals, or powering automation – this webinar is your starting point to real-time data delivery.
Domino IQ – Was Sie erwartet, erste Schritte und Anwendungsfällepanagenda
Webinar Recording: https://www.panagenda.com/webinars/domino-iq-was-sie-erwartet-erste-schritte-und-anwendungsfalle/
HCL Domino iQ Server – Vom Ideenportal zur implementierten Funktion. Entdecken Sie, was es ist, was es nicht ist, und erkunden Sie die Chancen und Herausforderungen, die es bietet.
Wichtige Erkenntnisse
- Was sind Large Language Models (LLMs) und wie stehen sie im Zusammenhang mit Domino iQ
- Wesentliche Voraussetzungen für die Bereitstellung des Domino iQ Servers
- Schritt-für-Schritt-Anleitung zur Einrichtung Ihres Domino iQ Servers
- Teilen und diskutieren Sie Gedanken und Ideen, um das Potenzial von Domino iQ zu maximieren
What is Oracle EPM A Guide to Oracle EPM Cloud Everything You Need to KnowSMACT Works
In today's fast-paced business landscape, financial planning and performance management demand powerful tools that deliver accurate insights. Oracle EPM (Enterprise Performance Management) stands as a leading solution for organizations seeking to transform their financial processes. This comprehensive guide explores what Oracle EPM is, its key benefits, and how partnering with the right Oracle EPM consulting team can maximize your investment.
Mark Zuckerberg teams up with frenemy Palmer Luckey to shape the future of XR...Scott M. Graffius
Mark Zuckerberg teams up with frenemy Palmer Luckey to shape the future of XR/VR/AR wearables 🥽
Drawing on his background in AI, Agile, hardware, software, gaming, and defense, Scott M. Graffius explores the collaboration in “Meta and Anduril’s EagleEye and the Future of XR: How Gaming, AI, and Agile are Transforming Defense.” It’s a powerful case of cross-industry innovation—where gaming meets battlefield tech.
📖 Read the article: https://www.scottgraffius.com/blog/files/meta-and-anduril-eagleeye-and-the-future-of-xr-how-gaming-ai-and-agile-are-transforming-defense.html
#Agile #AI #AR #ArtificialIntelligence #AugmentedReality #Defense #DefenseTech #EagleEye #EmergingTech #ExtendedReality #ExtremeReality #FutureOfTech #GameDev #GameTech #Gaming #GovTech #Hardware #Innovation #Meta #MilitaryInnovation #MixedReality #NationalSecurity #TacticalTech #Tech #TechConvergence #TechInnovation #VirtualReality #XR
How Advanced Environmental Detection Is Revolutionizing Oil & Gas Safety.pdfRejig Digital
Unlock the future of oil & gas safety with advanced environmental detection technologies that transform hazard monitoring and risk management. This presentation explores cutting-edge innovations that enhance workplace safety, protect critical assets, and ensure regulatory compliance in high-risk environments.
🔍 What You’ll Learn:
✅ How advanced sensors detect environmental threats in real-time for proactive hazard prevention
🔧 Integration of IoT and AI to enable rapid response and minimize incident impact
📡 Enhancing workforce protection through continuous monitoring and data-driven safety protocols
💡 Case studies highlighting successful deployment of environmental detection systems in oil & gas operations
Ideal for safety managers, operations leaders, and technology innovators in the oil & gas industry, this presentation offers practical insights and strategies to revolutionize safety standards and boost operational resilience.
👉 Learn more: https://www.rejigdigital.com/blog/continuous-monitoring-prevent-blowouts-well-control-issues/
MCP vs A2A vs ACP: Choosing the Right Protocol | BluebashBluebash
Understand the differences between MCP vs A2A vs ACP agent communication protocols and how they impact AI agent interactions. Get expert insights to choose the right protocol for your system. To learn more, click here: https://www.bluebash.co/blog/mcp-vs-a2a-vs-acp-agent-communication-protocols/
3. InfluxDB offers a common API across the entire platform. Discover what
that means and how you can use the API to build solutions that deliver
real value for developers.
Vinay Kumar
Senior Product Manager, InfluxData
Platform Product Manager at InfluxData with a Cloud Infrastructure
and Networking background working at companies like MuleSoft,
Salesforce and Ericsson.
InfluxDB API Overview
6. Value creation tool for developers
App developers create value Story of data
Time
Data
7. Composable Applications → APIs
● Modern Applications are built using
a set of built for purpose tools
● APIs are the language of the
composable Application
● Highly performant Time Series DB to
fuel your Application = InfluxDB!
/write
/query
/buckets
/authorizations
/tasks
/scripts
/orgs
……..
InfluxData
API
10. Pillars of the API
Data
Input
Query
Automation
Platform
Management
Analyze
Transform
Alert
Downsample
Trigger
11. Data Ingest - /write Endpoint
Multiple ways to ingest data into the
platform - all using /write endpoint:
● Write API
● Influx CLI
● Client libraries
● Telegraf
● Bulk import CSV
● Load data in UI
12. Process data - Query and transform
Query using /query endpoint:
● Data Explorer & Dashboards
● InfluxDB API
● InfluxDB CLI
● Client libraries
Query with
● Flux
● InfluxQL
13. ● Queries results via the API are in
annotated CSV format
● Set Accept-Encoding header to
gzip, to compress query response
● Client libraries wrap the Query API
in the language of choice
● Ability to return data is a variety of
data formats:
○ CSV
○ Raw Data
○ Table
○ Stream
○ Pandas DataFrame
Querying using client libraries
Querying API endpoint directly
14. Automation - Tasks and Alerting
Tasks and scripts are Powerful
Automation Tools:
● Queries run on the platform without
the need for any additional hardware,
OS provisioning on customer
infrastructure
● Run Alerting logic that can trigger
notifications on Slack, Pagerduty etc.
● Power of Flux - Query buckets,
external data, join data, trigger
actions, save to buckets, alert /tasks
Augmented
Data
Relational Data
Alerts
Trigger Actions -
HTTP
Raw
Data
15. Script
Automation - Invokable Scripts
● API Invokable Scripts can be triggered to run Flux logic from
applications or work flow tools.
● Tasks can Invoke Scripts - improving Tasks management at scale.
/scripts
Tasks
Script
Input Parameters
Output
Tasks
Tasks
Tasks
Tasks
Tasks
Tasks
Create N Tasks passing
parameters to invoke the Script
/api/v2/scripts/{name}/invoke
Modify Script to update Task logic
Create a reusable
and invokable Flux
asset
Driving Flux logic re-use on the platform
/api/v2/scripts/{name}/invoke
Invoke the Script from your
Application/workflow logic
16. Platform Management
Manage key account resources within
InfluxDB:
● /orgs - CRUD operations on
Organizations
● /buckets - CRUD operations on
buckets
● /authorizations - CRUD operations
for tokens
● /orgs/{orgID}/secrets - secrets store
Required Parameters for /buckets:
● Bucket - bucket to write to
● OrgID - InfluxDB OrgID
● Retention Rules - time to live
● Token - InfluxDB API Token