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Internal Working of Elasticsearch: From Log Ingestion to Storage
This blog explores the internal working of Elasticsearch, explaining how logs move from ingestion through the translog and in-memory buffers into Lucene segments. It covers analyzers, inverted indexes, segment merging, and shard replicas, giving SREs and DevOps engineers practical insights for scaling search.
Internal Working of Prometheus: How Metrics Flow from Ingestion to Storage
This blog takes a deep dive into the internal working of Prometheus, exploring how metrics flow from ingestion to storage. It explains the role of the Write-Ahead Log (WAL), the in-memory Head Block, and the immutable on-disk time series database (TSDB) blocks. With diagrams and analogies, it demystifies how Prometheus balances durability, speed, and scalability while powering queries, alerts, and dashboards. A must-read for SREs and DevOps engineers who want to go beyond the basics and truly understand how Prometheus works under the hood.
Understanding MCP (Model Context Protocol) — A Simple Guide from a DevOps Engineer
Discover what MCP (Model Context Protocol) is and how it empowers AI models like ChatGPT to use tools, memory, and context effectively. A simple, human explanation with real DevOps examples.
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