Fast Observability on S3 with Parseable

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Summary
In this conversation, Nitish Tiwari discusses Parseable, an observability platform designed to address the challenges of managing and analyzing large volumes of data. The discussion covers the evolution of observability systems, the design principles behind Parseable, and the importance of efficient data ingestion and storage in S3. Nitish explains how Parseable allows for flexible deployment, handles data organization, and supports querying through SQL. The conversation also touches on the correlation of logs and traces, failure modes, scaling strategies, and the optional nature of indexing for performance optimization.

References:
Parseable: https://www.parseable.com/
GitHub Repository: https://github.com/parseablehq/parseable
Architecture: https://parseable.com/docs/architecture

Chapters:
00:00 Introduction to Parseable and Observability Challenges
05:17 Key Features of Parseable
12:03 Deployment and Configuration of Parseable
18:59 Ingestion Process and Data Handling
32:52 S3 Integration and Data Organisation
35:26 Organising Data in Parseable
38:50 Metadata Management and Retention
39:52 Querying Data: User Experience and SQL
44:28 Caching and Performance Optimisation
46:55 User-Friendly Querying: SQL vs. UI
48:53 Correlating Logs and Traces
50:27 Handling Failures in Ingestion
53:31 Managing Spiky Workloads
54:58 Data Partitioning and Organisation
58:06 Creating Indexes for Faster Reads
01:00:08 Parseable's Architecture and Optimisation
01:03:09 AI for Enhanced Observability
01:05:41 Getting Involved with Parseable

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