Mar 17, 2023
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By Rhuan Souza
For a very long time, businesses in various industries have been using smart sensors. However, with the development of the Internet of Things (IoT), their significance has increased. Sensors represent the beginning of a data collection chain that, when processed by IoT platforms, generates essential insights for assertive decision-making and even for developing new business ideas. Generally, a smart sensor has three main components: This technology is already used in many countries.
Mar 15, 2023
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By Jason Myers
In the world of databases, cardinality refers to the number of unique sets of data stored in a database. If we drill down a little further, we can think of cardinality as the total number of unique values possible within a table column or database equivalent. When thinking about time series data, we can ask some specific questions about cardinality. What does cardinality look like in practice? When does cardinality become a problem? How do we prevent cardinality issues?
Mar 13, 2023
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By Nga Tran
Deduplication is an effective alternative to transactions for eventually consistent use cases of a distributed database. Here’s why. Building a distributed database is complicated and needs to consider many factors. Previously, I discussed two important techniques, sharding and partitioning, for gaining greater throughput and performance from databases.
Mar 10, 2023
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By Rick Spencer
From time to time throughout my career, I have been involved in projects with dramatic releases when we built and delivered something very new and very special. The release of InfluxDB Cloud, powered by IOx (referred to as “InfluxDB IOx” for short below) absolutely meets those criteria. I want to explain my personal views of why this release is so impactful and why I am so excited to be part of it.
Mar 10, 2023
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By Riccardo Tommasini
Time-varying entities may contain multiple time-varying and static attributes, making mapping them a particular challenge. Time is notorious in modeling tasks. Indeed, the temporal aspect exacerbates the complexity of the modeling task, making simple diagrams look pretty complex. The temporal dimension becomes particularly nasty when it takes part in identifying entities. The figure on the right visualizes the typical database example.
Mar 8, 2023
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By Riccardo Tommasini
In different techniques, entities and relationships remain central. However, their nature and roles are reinterpreted according to the business goals. Data modeling is the process of defining and representing the data elements in a system in order to communicate connections between data points and structures. In his impactful book “Designing Data-Intensive Applications,” Martin Kleppmann describes data modeling as the most critical step in developing any information system.
Mar 3, 2023
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By Jason Myers
Data is kind of like Newton’s first law of motion. Data is just that unless acted upon by something else. Time series data, therefore, is something you derive from data. We generally derive time series data to record historical observations about a physical or virtual system (for example, think of sensors and servers, respectively). However, not all time series data is the same. There are different use cases for time series data, and each has its own workload needs.
Mar 1, 2023
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By Caitlin Croft
As part of the InfluxDB Cloud, powered by IOx launch, Paul Dix and Balaji Palani provided an InfluxDB Cloud overview and demo. In case you missed it, this blog is a quick 5 minute read summarizing the webinar. We shared the recording and the slides from the presentation for everyone to review and watch at your leisure.
Feb 27, 2023
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By Jason Myers
Time series data can provide insight into ways to make energy production and consumption more cost-effective and efficient. The year 2022 saw the impact that world events can have on global energy markets. The most drastic fluctuations affected fossil fuels, which led to greater discussion about the practicalities of renewable energy. Fortunately, the move toward increasing reliance on renewable energy remains a consistent trend.
Feb 23, 2023
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By Charles Mahler
A look at best practices, no-code and low-code platforms you can use, common visualization types, criteria for good data visualization and more. Organizations regularly generate an overabundance of data that is essential for decision-making. Data visualizations play an important role in helping people understand complex data and observe patterns and trends over a period of time.
Jan 4, 2023
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By InfluxData
Telegraf is a lightweight, open-source, data collection tool. It utilizes a plug-in based system (with 300+ plug-ins to choose from) to create custom data pipelines.
Jan 4, 2023
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By InfluxData
InfluxData's newest data storage engine can handle unlimited cardinality.
Nov 9, 2022
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By InfluxData
Join Evan Kaplan, CEO at InfluxData, and a long-time InfluxDB community member as they discuss how to create a stronger developer experience (DX). Hear from Evan and Colin Breck, Cloud Platforms Lead at Tesla Energy Products, to learn more about industry best practices and how organizations can improve the experience for developers.
Sep 7, 2022
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By InfluxData
InfluxDB Native Collector allows users to set up direct, cloud-to-cloud connections between web services and InfluxDB to accelerate data collection. Here, Gary Fowler discusses the basics of the Native Collector feature.
Sep 7, 2022
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By InfluxData
InfluxDB provides many ways to collect data. The newest one is the Native Collector feature. But when should you use the native collector and when should you use a different option, like Telegraf? Gary Fowler uses MQTT to show the different options and why you might choose one over the other.
Sep 7, 2022
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By InfluxData
Setting up the InfluxDB native collector for MQTT is a simple, three step process. Here, Gary Fowler walks through the configuration process and discusses the different parsing options available to you.
Sep 7, 2022
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By InfluxData
InfluxDB is a schema-less database. But what if you *want* a schema for your time series data? Well, you can choose to enforce a schema at the bucket level. Here, Zoe Steinkamp covers the basics of schemas, and how to go about using explicit schemas in InfluxDB.
Sep 7, 2022
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By InfluxData
If you use Node.js, then the Node.js client library allows you to interact with the InfluxDB platform quickly, using a familiar language. Here, Zoe Steinkamp discusses some of the features of the Node.js client library to help you get started building awesome applications with InfluxDB even faster.
Jul 6, 2022
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By InfluxData
The team at InfluxData has been hard at work building a brand new query experience into the GUI, and recently gave us a look at what's coming.
Jun 14, 2022
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By InfluxData
The 'edge' is the place where the physical world meets the digital world. More and more businesses rely on workloads at the edge, especially in the IoT and IIoT spaces. Define the edge to fit your needs. InfluxDB has the tools and resources to use data at the edge and in the cloud, and to create reliable, durable data pipelines between them.
Sep 18, 2018
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By InfluxData
Everything related to how IT services are delivered and consumed is undergoing tremendous change. Monolithic architectures are being replaced by microservices-driven apps and the cloud- based infrastructure is being tied together and instrumented by DevOps processes.
Sep 1, 2018
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By InfluxData
Companies are committed to delivering on higher levels of customer satisfaction for their online services. Unfortunately, many organizations trying to support these initiatives take an interrupt-driven approach where they scramble to fix things when they break. However, to manage to these high levels of SLAs, you should take a structured approach in order to reduce the amount of unscheduled downtime by proactively monitoring and managing your systems.
Aug 1, 2018
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By InfluxData
This paper reviews how an IoT Data platform fits in with any IoT Architecture to manage the data requirements of every IoT implementation. It is based on the learnings from existing IoT practitioners that have adopted an IoT Data platform using InfluxData.
Jul 1, 2018
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By InfluxData
In this technical paper, we'll compare the performance and features of InfluxDB 1.4.2 vs. Elasticsearch 5.6.3 for common time series workloads, specifically looking at the rates of data ingestion, on-disk data compression, and query performance. This data should prove valuable to developers and architects evaluating the suitability of these technologies for their use case.
Jun 1, 2018
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By InfluxData
In this technical paper, we'll explore the aspects of scaling clusters of the InfluxEnterprise product, primarily through the lens of write performance of InfluxDB Clusters. This data should prove valuable to developers and architects evaluating the suitability of InfluxEnterprise for their use case, in addition to helping establish some rough guidelines for what those users should expect in terms of write performance in a real-world environment.
May 1, 2018
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By InfluxData
In this technical paper, InfluxData CTO - Paul Dix will walk you through what time series is (and isn't), what makes it different than stream processing, full-text search and other solutions. He'll also work through why time series database engines are the superior choice for the monitoring, metrics, real-time analytics and Internet of Things/sensor data use cases.
Apr 1, 2018
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By InfluxData
As the number of metrics collected and acted on increases, developers need a solution that is fast and efficient to keep up with the demands of their solutions. We'll compare the performance and features of InfluxDB and OpenTSDB for common time series db workloads, specifically looking at the rates of data ingestion, on-disk data compression, and query performance. This data should prove valuable to developers and architects evaluating the suitability of these technologies for their use case.
Mar 1, 2018
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By InfluxData
In this this technical paper, we'll compare the performance and features of InfluxDB vs MongoDB for common time series workloads, specifically looking at the rates of data ingestion, on-disk data compression, and query performance. This data should prove valuable to developers and architects evaluating the suitability of these technologies for their use case.
Feb 1, 2018
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By InfluxData
In this technical paper, we'll compare the performance and features of InfluxDB and Cassandra for common time series workloads, specifically looking at the rates of data ingestion, on-disk data compression, and query performance. This data should prove valuable to developers and architects evaluating the suitability of these technologies for their use case.
Jan 1, 2018
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By InfluxData
To help provide a better understanding of how to get the best performance out of InfluxDB, this technical paper we will delve into the top five performance tuning tips for improving both write and query performance with InfluxDB. Topics covered include cardinality, batching, down-sampling, schema design and time-stamp precision.
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InfluxData, the creators of InfluxDB, delivers a modern Open Source Platform built from the ground up for analyzing metrics and events (time series data) for DevOps and IoT applications. Whether the data comes from humans, sensors, or machines, InfluxData empowers developers to build next-generation monitoring, analytics, and IoT applications faster, easier, and to scale delivering real business value quickly.
InfluxData provides the leading time series platform to instrument, observe, learn and automate any system, application and business process across a variety of use cases:
- DevOps Observability Observing and automating key customer-facing systems, infrastructure, applications and business processes.
- IoT Analytics Analyzing and automating sensors and devices in real-time delivering insight and value while it still matters.
- Real-Time Analytics Leveraging the investment in instrumentation and observability—detecting patterns and creating new business opportunities.
Customers turn to InfluxData to build DevOps Monitoring (Infrastructure Monitoring, Application Monitoring, Cloud Monitoring), IoT Monitoring, and Real-Time Analytics applications faster, easier, and to scale.