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In this presentation, we will define what time series data is (and isn't), how the problem domain time-series differs from more traditional data workloads like full-text search, and examine how InfluxData is differentiated from other proposed solutions
Reframing and Retooling for Observability - Keynote
Observability is making the transition from being a niche concern to becoming a new frontier for user experience, systems, IoT and service management across all organizations. James will discuss what this means for the developers of modern applications and how to use observability to derive deep insights into system performance and user experience.
Analytics and ML on Time Series Data in Google Cloud
As of Feb 2020, InfluxDB Cloud is now available in Google Cloud. This talk covers the benefits of running time series databases in GCP by bringing observability to your cloud stack and taking advantage of Google's analytics and machine learning suite of products.
How a Time-Series Database Contributes to a Decentralized Cloud Object Storage Platform
Storj Labs uses blockchain technology and a distributed network to provide storage at lower costs than cloud providers. By equipping their customers with fast, secure and fully distributed storage, their users no longer need to manage their infrastructure. The Storj platform enables applications to store and share data across a distributed network with end-to-end encryption. Discover how InfluxDB is a component to Storj's Tardigrade service and workflows.
In this webinar, John Gleeson will dive into:
- Storj's redefinition of a cloud object storage network
- How InfluxData fits into Storj's Open Source Partner Program
- Collecting and managing high volume real-time telemetry data From A distributed network
The Power of Influx at the Edge
An in-depth exploration of InfluxData and edge computing. Gain insight on how to collect and report data from multiple on-prem databases, systems and IoT devices, without exposing them to the internet, using Influx’s open source server agent Telegraf. With the power of Azure IoT Hub, trigger metrics from edge devices and add them to InfluxDB. While gaining resiliency from outages using Azure, route metrics using the IoT edge plugin. Unlock the potential of the cloud without sacrificing the speed and security of an on-prem network.
How an Analytics Platform Detects Reliability Threats and Eliminates Obstacles Impeding Results Using InfluxDB
Tignis uses physics-driven analytics to improve the reliability and efficiency of connected mechanical systems. Learn how Tignis uses IoT sensors to reduce unexpected downtime at manufacturing plants and school campuses. By utilizing AI, predictive maintenance and digital twin technology, Tignis has reduced customers’ energy consumption and optimized customers’ operations.
Hear from Jon Herlocker, CEO at Tignis, to learn how they’re using a time series database to improve their competitive advantage and accelerate their go-to-market strategy.
10 min break
Using Time Series for Geo-Temporal Analysis
In this talk, Miroslav Malecha of Bonitoo, will talk about how you can use InfluxDB’s Flux for Geo-Temporal analysis. He’ll briefly cover what Flux is, how to use specific Flux geo functions, and finish with a quick demo of how to use InfluxDB.
Monitor your Cloud Metrics with Time Series
In this talk we’ll go over easy ways to get metrics from your cloud environment in InfluxDB. Once you have the data in InfluxDB, you can create complex monitoring, alerting and notification rules. We’ll start with how to ingest metrics from your cloud environment, how to monitor your cloud performance, and how to set up alerts to keep you within budget.
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