API Analytics with InfluxDB: Optimizing Performance

In this talk, we will explore how InfluxDB can help you optimize the performance of your APIs by leveraging metrics and insights. We'll cover the basics of API analytics and discuss how to use InfluxDB to collect, store, and query API performance data. We'll also demonstrate how to build dashboards and alerts to monitor key API metrics and how to use machine learning to analyze performance trends and identify potential issues. By the end of this talk, you'll have a solid understanding of how to use InfluxDB to optimize your API performance and enhance your API analytics capabilities.

Mastering Observability: From Theory to Practice in DevOps

In today's fast-paced DevOps world, where software systems are becoming increasingly intricate and spread out, achieving robust observability is now a main focus point. Observability equips organizations with the power to gain profound insights into their application's inner workings. This helps them spot problems, fine-tune performance, and guarantee reliability. But making the leap from theory to practical application can feel like a daunting task. Especially as this part of the tech stack seems to be ever evolving and growing.

To get started, let's dig into why the old-school methods of monitoring just don't cut it anymore in our rapidly evolving software world. We'll also take a deep dive into the most effective ways to smoothly gather and make sense of traces, logs, and metrics, giving you a full view of your application's well-being. Backed up with examples and case studies. Plus, we'll roll up our sleeves and get hands-on with some popular observability tools like OpenTelemetry, InfluxDB, Jaeger, and Grafana. You'll come away with not just the know-how to set up and fine-tune these tools but also the skills to turn data into practical insights you can actually use.

Observability doesn't live in isolation; it's a vital part of the broader DevOps world. We'll explore how observability seamlessly fits into DevOps workflows, fostering collaboration between development and operations teams. This collaboration leads to smoother deployments and quicker issue resolution. Lastly, we'll take a deep dive into the concept of continuous improvement in observability. You'll discover how to adapt to evolving technologies, changing system architectures, and emerging best practices, ensuring you stay ahead in the ever-evolving DevOps landscape.

Unlocking Value from Time Series Data with Open Source Tools in Java

Join Zoe, Developer Advocate at InfluxData, for a session where she will share how to take charge of your time series data with InfluxDB open source time series platform using Java. In this session, you’ll learn how open source tools like Telegraf and InfluxDB can help you build real-time applications faster and with less effort. We will also demo how to use InfluxDB to gain visibility and insight into your time-stamped data from the edge to the cloud.

Java focused talk

Powering the Future: Time Series Tech in Energy Transformation

Today’s energy consumers are turned off by fossil fuels and have turned their attention, and demand, to renewable and greener sources of energy like wind, solar, and biofuels. Traditional utilities are scrambling to provide renewable capacity on their own grids, and new companies, new technology, and new approaches to production and distribution are booming. Too many promising new renewable energy offerings end up as expensive experiments because developers fail to consider the real-time streams of data from their assets, infrastructure, and software. It’s not enough to simply ingest and store time series data. You need to know how to take action with that data, leveraging it for effective tracking, predictive maintenance, and ensuring that data-backed evidence supports the achievement of sustainability goals. This talk will use real customer use cases to go into how people are applying their time series data, and in turn time series databases. 

Ju:niz Energy Storage a Case Study

ju:niz Energy specializes in large-scale energy storage systems that facilitate grid services and enhance trade flexibility within the energy market. Leveraging advanced technology, ju:niz Energy develops intelligent energy management systems to optimize battery storage operations. With a tech stack featuring Telegraf, Modbus, MQTT, Grafana, Docker, AWS, and InfluxDB, they get huge amounts of data on battery health, climate conditions, and more. Learn how ju:niz Energy utilizes InfluxDB Cloud Dedicated, a purpose-built time series database, to efficiently collect sensor data from their batteries, enabling advanced energy consumption analytics. We will look into ju:niz’s industrial IoT monitoring approach, discusses sustainability enhancement strategies across Germany, and emphasizes the significance of leveraging time-stamped data for predictive maintenance in a real life use case.

Telegraf Plugin Development: Extending Telegraf for Custom Data Collection Needs

Telegraf is one of the largest open source agents for collecting, processing, aggregating, and writing metrics. Interested in extending Telegraf to meet your custom data collection needs? Join us for an exploration of Telegraf plugin development. In this session, we'll walk through the process of creating custom Telegraf plugins to collect data from specialized sources or integrate with proprietary systems. We will also go over some of the favorite plugins within the ecosystem, you might just find one to make your life easier!

Unleashing the Power of AI in IoT with InfluxDB

In the rapidly evolving IoT landscape, integrating disparate platforms to harness real-time insights remains a challenge. Many professionals grapple with the complexities of infrastructure setup, data streaming, and achieving cost-efficient scalability. How can one seamlessly merge the capabilities of leading platforms like HiveMQ and InfluxDB 3.0 to create robust, AI-powered IoT solutions? Join this talk for answers and stay ahead in the IoT game.

Streamlining Data Transformation: ETL Best Practices with Mage

In today's data-driven landscape, efficient Extract, Transform, Load (ETL) processes are essential for deriving insights from vast volumes of data. Join our webinar to discover how to harness the capabilities of Mage.ai, a powerful open-source, hybrid framework, to streamline your ETL workflows. Learn how Mage.ai seamlessly integrates with popular data ecosystems, including InfluxDB, leveraging the Apache Arrow ecosystem for enhanced performance. During the session, we'll delve into ETL best practices and demonstrate how Mage.ai simplifies the creation of materialized views of time series data. Don't miss this opportunity to optimize your data transformation processes and unlock actionable insights with Mage.ai.

Simplifying Deployment of Industry 4.0 Applications on Edge Devices

Join us for a comprehensive session led by a specialist from InfluxData, focused on the deployment of Industry 4.0 applications on edge devices. This presentation will delve into the use of the OPC Router from inray Industriesoftware GmbH in combination with InfluxDB to streamline connections between InfluxDB and a variety of industrial and commercial systems. Discover how leveraging these technologies together can facilitate the collection and storage of time-series data from PLCs, sensors, and controllers efficiently. The session will cover:

Effective strategies for collecting and analyzing sensor data using InfluxDB.
Insights into the integration capabilities of the OPC Router with InfluxDB and Portainer.
Expert monitoring tips for Industry 4.0 applications using the latest InfluxDB solutions.
This talk is tailored for developers, system integrators, and technology leaders looking to enhance their smart industrial solutions with cutting-edge data management and analysis tools.

Predictive Maintenance with Quix and InfluxDB

For any business that relies on machinery, regular maintenance is crucial. These days, machines are monitored by sensors and it’s possible to predict anomalous behavior and machine failure from patterns in the data. Whilst it may be straightforward to start collecting sensor data, transforming and enriching that data to unlock its value can be challenging. Achieving accurate prediction requires a robust data pipeline in place to serve forecasting algorithms and ensure timely alerting when a possible problem is detected.
To help make predictive maintenance more accessible to newcomers, we’ve created a simple reference architecture that simulates a fleet of 3D printers. In this webinar we will show you how to use it, how it works and provide the context on how it is enabled by a streaming data pipeline and time series database. We will also share the full source code so you can customize it for your own use.

Leveraging Time-Series Databases for Cloud-Native Applications: Architectural and Practical Insights

In this session, we explore the integration of time-series databases within cloud-native architectures, focusing on scalability, flexibility, and fault tolerance. We discuss how these databases handle large volumes of real-time data through efficient streaming, storage optimization, and query processing. Special attention is given to data retention strategies and volume management to maintain performance in dynamic cloud-native environments. Drawing on open-source examples like InfluxDB, this talk delves into architectural considerations and practical solutions, providing attendees with a comprehensive understanding of deploying and managing time-series databases effectively. Aimed at developers, architects, and system administrators, the session offers foundational insights for leveraging time-series data to enhance decision-making and operational efficiency in cloud-native applications.

Advancing Renewable Energy Storage: Smart Solutions with MQTT and Modbus Integration

This presentation explores ju:niz Energy GmbH's innovative approach to improving renewable energy storage using MQTT, Modbus, and InfluxDB. Beginning with an introduction to the company and their Battery Energy Storage Systems (BESS), the session delves into technical aspects such as infrastructure, historical setup, along with the introduction of Edge Data Replication (EDR) for enhanced data transport reliability.

Technical topics include the transition to InfluxDB, data migration challenges, normalization of inconsistent data, and implementation of EDR for reliable data transport. The use of Telegraf to gather data from MQTT and Modbus devices is explored, along with insights into temporary temperature logging and local plant setups. The presentation concludes with Grafana visualizations, improved alert mechanisms, and insights into future projects, demonstrating ju:niz Energy GmbH's commitment to enhancing renewable energy storage through strategic data management.

Building a Real-Time Streaming Task Engine with Quix and InfluxDB

Explore the synergy between Quix and InfluxDB as we unveil the potential of building a real-time streaming task engine. Discover how Quix Community Plugins seamlessly integrate with InfluxDB 3.0, allowing for efficient data ingestion, transformation, and analysis. Join us for practical insights and demonstrations on leveraging these plugins to create dynamic anomaly detection pipelines and derive actionable insights from raw machine data in real time. Unlock the power of real-time analytics with Quix and InfluxDB.

Leveraging InfluxDB and Vector DataBases for High-Performance Time-Series and Vector Data Management

The exponential growth in data generated by IoT devices and digital services necessitates advanced solutions that can efficiently manage, analyze, and derive insights from diverse data types. In this talk, we explore the integration of InfluxDB, a time-series database, with Milvus, a vector database, to create a powerful hybrid data management system capable of handling both time-series and vector data in a unified architecture to detect anomalies in our time series database.

A 101 in time series analytics with Apache Arrow, Pandas and Parquet

Columnar databases are on the rise! They provide an efficient and scalable data warehouse for many use cases including time series data. The problem? many conventional database drivers and querying methods become the bottleneck for data processing and analytics within our client-side applications. Learn how to leverage open-source projects like Apache Arrow Flight and Apache Parquet alongside industry-standard analytics libraries to build the foundations of a performant analytics application for time series data.

Navigating Data Harmony: Exploring the Power of Apache Iceberg

Explore the potential of Apache Iceberg in the world of structured data. Uncover its unique features, including schema evolution and ACID transactions, making it an ideal solution for large-scale datasets. See how Apache Iceberg seamlessly fits into your data architecture, providing flexibility, scalability, and top-notch performance for analytics and data warehousing. Join us for real-world success stories where organizations have saved time and supercharged their business value with Apache Iceberg. Delve into how it enhances data relationships and analytics, making structured datasets more insightful. Get ready for an insightful exploration, where we share practical insights, success stories, and strategies for leveraging Apache Iceberg in structured data management and analytics.

Spy-Fi: The Thrilling World of Vision AI Surveillance

Ever dreamed of having X-ray vision or eyes everywhere? Dive into the thrilling realm of Vision AI surveillance, where technology transforms ordinary cameras into extraordinary spies. Join us as we embark on a mission to explore the fascinating synergy of covert operations and cutting-edge AI.

In this daring journey, we'll reveal how Vision AI, powered by NVIDIA DeepStream, sneaks into our everyday lives. From tracking people, cars, and even road signs, to streaming real-time footage through RTSP servers, our AI agents leave no stone unturned.

Moreover, we will delve into the nuances of MQTT and InfluxDB, the discreet architects orchestrating the comprehensive collection and astute analysis of data acquired by our AI operatives. Brace yourself for a spy-fi narrative where technology converges with intrigue, transcending commonplace conventions to unveil the extraordinary.

Empowering Observability: OpenTelemetry & InfluxDB 3.0 Integration

In today's dynamic DevOps landscape, ensuring seamless observability across diverse data types is a pressing challenge. Join us for an immersive 3-hour training session as we dive into the heart of observability, using the powerful synergy of OpenTelemetry, InfluxDB 3.0, Jaeger, and Grafana. This session is your chance to learn best practices in developing visibility into your microservice architectures.

Embark on a journey of discovery in our comprehensive workshop that demystifies the intricacies of collecting traces, logs, and metrics within a unified database. We will guide you through fundamental questions that arise when dealing with various time series data types, including schema design and data conversion techniques. Through engaging hands-on exercises, you'll learn how to deploy the open telemetry demo—a captivating simulation of real-world traces, logs, and metrics. Witness firsthand the magic of the OpenTelemetry Collector orchestrating the collection process, seamlessly channeling the data to InfluxDB 3.0.

Our expert trainers will accompany you through every step, from provisioning to visualization. Uncover the power of Flight SQL for insightful general-purpose queries and leverage Jaeger's bridging capabilities for immersive visualizations into your traces. Delve into the Service Latency Histogram and untangle the intricate relationships between traces using the span tree. By the end of this transformative workshop, you'll not only grasp the technical aspects but also gain a profound understanding of the theoretical underpinnings of OpenTelemetry. This training is your key to becoming the observability champion your organization needs, irrespective of whether you're a seasoned DevOps engineer or just stepping into the world of observability.

Unleash the Data Revolution: Supercharge Your Applications with InfluxDB

Step into the future of data management and witness the power of InfluxDB firsthand. Join us for an exhilarating session that will redefine the way you handle and harness data. Delve into the world of real-time analytics, lightning-fast querying, and stunning data visualization as we unveil the untapped potential of InfluxDB, the ultimate time series database. Discover how this cutting-edge solution empowers developers to conquer complex data challenges, unlock valuable insights, and fuel innovation like never before. Get ready to embark on a thrilling data revolution and transform the way you build applications with InfluxDB at the helm.

Securing Cloud-Native Apps: InfluxDB and OpenTelemetry's Protective Pact

Dive into the world of application security and join the resilient partnership of InfluxDB and OpenTelemetry Collector as they stand guard against emerging threats. As software architecture shifts from monolithic to cloud-native, vulnerabilities take on a new form. Traditional security measures struggle to keep pace, leaving modern applications vulnerable.

In this insightful presentation, explore the evolution of vulnerabilities from monolithic to cloud-native. Discover how InfluxDB and OpenTelemetry Collector work together to defend against real-world challenges. We'll demonstrate this through a simple example: an interconnected Kubernetes app with microservices, connected by a central message queue. Witness firsthand how OpenTelemetry exposes weak points, showcased using the intuitive Jaeger tool. We'll tackle the complexities of enhancing security tools, navigate test coverage intricacies, and unravel the installation process. This expedition is a mission to safeguard the digital realm. Armed with InfluxDB and OpenTelemetry Collector, we vow to bolster cloud-native security against the tide of threats. Join us in this quest to protect the digital domain, where code, microservices, and data flow are vigilantly guarded by our watchful security allies.

Scaling Time-Series Data Management with InfluxDB on Kubernetes

Step into the exciting world of time-series data management in cloud-native environments! Join us as we explore the seamless integration of InfluxDB, a cutting-edge time-series database, with Kubernetes. Discover deployment patterns, scalability tricks, and best practices for running InfluxDB on Kubernetes. From data ingestion to querying and visualization, we'll guide you through the entire lifecycle, ensuring high availability, data durability, and optimal performance. Don't miss this opportunity to harness the power of InfluxDB and revolutionize your cloud-native applications with scalable and efficient time-series data management!

Harnessing the Power of InfluxDB for DevOps Monitoring and Metrics

As DevOps practices continue to reshape software development and operations, effective monitoring and metrics play a crucial role in ensuring the reliability and performance of systems. In this session, we will dive into the capabilities of InfluxDB, a leading time series database, and explore how it can empower DevOps teams to gain deep insights into their infrastructure and applications. From data collection to visualization and alerting, we will discuss best practices for leveraging InfluxDB to monitor key performance indicators, track system health, and drive proactive decision-making. Join us to discover how InfluxDB can be the game-changer in your DevOps journey.

Maximizing Real-Time Data Processing with Apache Kafka and InfluxDB: A Comprehensive Guide

Combining Apache Kafka and InfluxDB can provide a powerful data pipeline for processing and analyzing real-time data. Kafka can be used to ingest data from various sources and stream it to InfluxDB for storage and processing. InfluxDB can then be used to analyze and visualize the data, providing insights and actionable information in real-time. This architecture can be especially useful for IoT applications, where large volumes of sensor data are generated in real-time and need to be processed and analyzed quickly. InfluxDB now offers storage in a parquet file format built on top of the Apache Arrow project that allows for querying in SQL and integration to a larger variety of visualization and analysis tools that Kafka users can now take advantage of. This talk will go into connecting the two platforms and the why, how, and what you can accomplish by doing so.

Innovative Approaches to IoT Data: Tapping into the Potential

Get ready to explore the exciting world of IoT data in this session that cuts through the jargon and dives into what really matters. We'll chat about the latest trends and cool innovations, giving you a clear roadmap for handling IoT data. From real-world stories that bring concepts to life to tackling challenges and seizing opportunities, we've got you covered. No tech talk here – just practical insights on how businesses are making the most of IoT data for smarter decisions and valuable insights. Join us for a laid-back, yet enlightening discussion that goes beyond the buzzwords, offering you a down-to-earth understanding and actionable strategies to unlock the true potential of IoT data.

Building Real-Time Applications with InfluxDB and Go

In today's fast-paced world, real-time applications are becoming increasingly common. To build reliable and scalable real-time applications, developers need a powerful database that can handle high volumes of time-series data. InfluxDB is a popular choice for real-time data storage and analysis, and Go is a powerful language for building fast and efficient applications. This talk will cover how to use InfluxDB and Go together to build real-time applications. Topics will include:

Introduction to InfluxDB and Go
Storing time-series data in InfluxDB
Retrieving and querying data from InfluxDB with Go
Real-time data processing and analysis
Best practices for building real-time applications with InfluxDB and Go
Attendees will leave with a solid understanding of how to use InfluxDB and Go to build real-time applications, and they will be equipped with the knowledge to tackle complex time-series data challenges.

Infrastructure Monitoring Basics with Telegraf, Grafana and InfluxDB

Ready to make your cloud-based applications smarter, faster, and more responsive? In this session, you'll learn how to set up a time-series database with InfluxDB, and then use Grafana's intuitive data visualization tools to build real-time analytics and dashboards. We will go into some of the tools that make this connection easy and painless. We'll cover everything from the basics of InfluxDB's data model and query language to the features of Grafana's alerting and graphing tools. This will include both cloud and open source options, so you can choose your own adventure. These two technologies are also interoperable with some of your other favorite infrastructure monitoring tooling, and we will briefly touch on how to leverage these options. So if you're ready to learn how to build real-time analytics that can transform your cloud-based applications fast and easy, come join us!

Building a Hybrid IoT Architecture with InfluxDB: A Hands-On Workshop

In this workshop, participants will learn how to build a hybrid IoT architecture using InfluxDB, Telegraf, and an MQTT broker. Through hands-on exercises, attendees will set up an instance of InfluxDB and Telegraf on an edge device to ingest sensor data, and explore how to downsample and replicate this data to an InfluxDB Cloud instance. Additionally, participants will learn how to build notebooks, create checks and alerts, and generate visualizations that leverage geolocation and time-series data. This workshop is ideal for developers, data analysts, and engineers who want to gain practical experience with InfluxDB and IoT, and will provide a foundation for further exploration and learning through InfluxDB University. Participants should have basic knowledge of programming and IoT concepts.

How Time Series Data is Helping Power a Greener Future

It can be as simple as home automation done by individuals to become a more sustainable and less wasteful household. To wind farms off the coast of the Netherlands, time series data comes in small and large packages. But it is in every facet of our lives and in creating a greener future it will play an important role. This talk will go over how time series data is used for monitoring and automation in the green energy field.
This talk will include both open source and cloud based solutions provided by multiple platforms. It will go over how important it is for time series data to be stored in a performant database built for the unique problems time series data entails. Including fast querying, alerts and monitoring, and data science analysis. If you are interested in time series data, are currently working on time series problems, or want to become more familiar. This talk will be valuable to both beginners and those more advanced, engineers and non-engineers will both find value.

How to choose the right database for your application

In this talk, we will review the strengths and qualities of each database type from their particular use-case perspectives. Although having everything in one database seems like the straightforward path, it is not always the most cost or time effective path. Many Databases have become more specialized for the types of data they handle. Learn how to make the right choice for your workloads with this walkthrough of a set of distinct database types (graph, in-memory, search, columnar, document, relational, key-value, and time series databases). Learn about current trends in the database ecosystem and then learn about a number of different specialized databases and their strengths and weaknesses. This presentation will go over some of the fastest growing segments in the database space.

Forecasting with Prophet and InfluxDB

Data collection is only half of the battle. The other half is being able to easily perform data analysis. FB Prophet aims to make time series forecasting simple and fast. In this latest Data Science Central webinar, we’ll learn how to make a univariate time series prediction with Prophet and a time series database. We will also explore how integrating Prophet with a time series database enhances analytical capabilities, allowing for more dynamic data manipulation and richer insights. Additionally, practical examples and tips on optimizing your forecasts will be shared to help you efficiently apply these techniques in real-world scenarios.

Data science focused talk