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CnosDB Tech Talk

Innovative Integration of Real-Time Industrial Control Systems: Efficient Data Collection and Storage with PLC4X and CnosDB

  In contemporary industrial automation systems, real-time monitoring and data analysis have become crucial. This article introduces how to achieve efficient data collection and storage from PLC devices in industrial control systems by integrating Apache PLC4X and CnosDB, providing engineers with more powerful data analysis and monitoring tools. Definition of PLC PLC stands for Programmable …

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Database Fault Tolerance: System Clock Failure

This article discusses the CnosDB system clock failure and proposes a solution to the system clock failure in a stand-alone environment and a cluster environment, which has very important guiding significance. Database fault tolerance: system clock failure   Discussions arising from situations that may not exist One day, CnosDB intern Xiao Shao was designing time-sequential …

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Efficient Data Transmission: Easily Connect Kafka Real-time Data to CnosDB

In this article, we will mainly introduce how to implement a Kafka+Telegraf+CnosDB synchronous real-time acquisition and storage solution of streaming data in the Ubuntu 22.04.2 LTS environment. In this operation, the CnosDB version is 2.3.0, the Kafka version is 2.5.1, and the Telegraf version is 1.27.1 Efficient data transmission: Easily connect Kafka real-time data to CnosDB …

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How Does CnosDB Ensure the Final Consistency of Multi-step Operations?

In time-series databases, the operation of resources is a complex and crucial task. These operations often involve multiple steps, each of which may fail, leading to an inconsistent state of resources. For example, a user might want to delete a tenant in a CnosDB cluster, an operation that may require the deletion of various resources …

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Time Series Data Compression Algorithms

This article provides a brief introduction to the origin of time series compression tasks, classifies compression algorithms, and gives a brief overview of the advantages and disadvantages of common compression algorithms. Coding enthusiasts, come and explore the details! Introduction Time series data is a fundamental data type generated in various applications and fields such as …

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Evolutionary Journey of Master-Replica in CnosDB

The complexity of distributed storage systems involves issues such as data disaster recovery, consistency, high-concurrency requests, and large-capacity storage. This article combines the evolutionary history of CnosDB in a distributed environment, sharing insights on applying distributed theory to practical production, as well as the advantages, disadvantages, and application scenarios of different implementation methods. Distributed System …

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CnosDB Carnival! Full Support for Helm Deployment, Easily Dandle Your Distributed Time-series Database

 CnosDB carnival time is here, fully supporting Helm deployment! If you are a fan of the Internet of Things, Industrial Internet, Internet of Vehicles, or IT operation and maintenance, then you absolutely cannot miss this big news! CnosDB Helm Chart Let’s first take a look at what CnosDB Helm Chart is. To put it simply, this …

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Optimize CnosDB Performance and Latency Using Jaeger Distributed Tracking System

In a formal production environment, database performance and latency are critical to ensuring the stable and efficient operation of the system. Especially when interacting with the CnosDB database, it becomes important to gain a deeper understanding of its performance. At this time, the Jaeger distributed tracing system plays a huge role. In this blog, we will delve into …

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When FineReport Meets CnosDB

With the rapid development of big data and Internet of Things applications, time series databases have become a key data storage and analysis tool. As a popular business intelligence tool, FineReport’s integration with the time series database CnosDB can provide enterprises with more powerful data analysis and visualization functions. This blog will introduce how to integrate FineReport …

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Building a High-Performance IoT Data Platform: A Complete Tutorial on EMQX and CnosDB

The device data and data storage solution connected to the platform in the Internet of Things project have the following characteristics: The dimensions, frequency, and number of devices for data collection are relatively large, and the amount of data collected is relatively large, which puts great pressure on the access throughput of the message server …

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