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Elk Stack
Elk Stack is a collection of open-source tools used for log management and analysis. The acronym ELK stands for Elasticsearch, Logstash, and Kibana.
This is a seasonal trend that repeats every September.
This trend is forecasted to be growing in the next 2 years.
1. Centralized Log Management
Elk Stack allows for the centralization of logs from multiple sources, making it easier to manage and analyze large amounts of data in real-time.
2. Real-Time Data Analysis
Elk Stack provides real-time data analysis capabilities, allowing users to quickly identify and respond to issues as they occur.
3. Scalability
Elk Stack is highly scalable and can handle large amounts of data, making it suitable for use in enterprise-level applications.
4. Open-Source
Elk Stack is open-source, meaning that it is free to use and can be customized to meet the specific needs of individual users.
5. Integration with Other Tools
Elk Stack can be easily integrated with other tools and platforms, such as Docker and AWS, making it a versatile solution for log management and analysis.
1. Elastic (@elastic)
Official account for Elastic Stack, which includes Elk Stack, a set of open-source tools for data ingestion, processing, storage, and analysis. Frequently shares updates and tutorials on Instagram.
2. Anton Ilinskiy (@a.ilinskiy)
Software engineer and influencer who frequently shares his experience working with Elk Stack on his Instagram account.
3. Kai Waehner (@kaiwaehner)
Influencer and author who frequently shares his expertise on Elk Stack and other big data tools on his Instagram account.
4. Arun Gupta (@arun.gupta)
Influencer and author who frequently shares his experience working with Elk Stack and other open-source technologies on his Instagram account.
5. Vladimir Yakovlev (@vyakovlev)
Data engineer and influencer who frequently shares his Elk Stack tutorials and experiences on his Instagram account.