OpenTSDB is a distributed, scalable time series database designed to store and serve massive amounts of time series data. It is built on top of HBase and allows for efficient storage, retrieval, and analysis of large volumes of metrics data over time. OpenTSDB is commonly used for monitoring, analytics, and performance tracking in various applications.
OpenTSDB
OpenTSDB is a distributed, scalable time series database designed to store and serve massive amounts of time series data. It is built on top of HBase and allows for efficient storage, retrieval, and analysis of large volumes of metrics data over time. OpenTSDB is commonly used for monitoring, analytics, and performance tracking in various applications.
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About OpenTSDB
OpenTSDB was created in 2010 by Benoît Sigoure while he was working at StumbleUpon. It was developed to address the need for a scalable and efficient way to store and retrieve large volumes of time series data, particularly for monitoring and analytics purposes. The project leveraged HBase to ensure scalability and reliability in handling massive datasets over time.
Strengths of OpenTSDB include its scalability, ability to handle large volumes of time series data, and seamless integration with HBase for distributed storage. Weaknesses involve complex setup, reliance on HBase which can complicate deployment, and limited querying capabilities compared to newer solutions. Competitors include InfluxDB, Prometheus, Graphite, and TimescaleDB.
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How to hire a OpenTSDB expert
An OpenTSDB expert must have proficiency in HBase for managing the underlying storage layer, strong skills in time series data modeling and analysis, and experience with Linux-based systems for deployment and maintenance. Familiarity with scripting languages like Python or Bash for automation, knowledge of monitoring tools and practices, and understanding of distributed systems architecture are also essential.
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