Using Query Store in Azure PostgreSQL to Understand Query Performance
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Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.
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You will learn:
How smart campaign queueing works, how flow steps are prioritized, and configurations that slow down smart campaign processing.
Best practices for smart list and smart campaign configurations that yield greater reliability and processing efficiencies.
Generally recommended timelines for reviewing instance performance: walk away from this session with a guideline of what to review in Marketo and how often to review it.
This session will be helpful for any Marketo administrator looking for opportunities to improve and streamline their instance performance. Be sure to watch to learn best practices and connect with your local Marketo peers!
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• Software testing is the process of evaluating and
verifying that a software application or system meets
specified requirements and functions correctly.
• Purpose:
• Identify defects and bugs in the software.
• Ensure the software meets quality standards.
• Validate that the software performs as intended in
various scenarios.
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• Reduces risks associated with software failures.
• Improves user satisfaction and trust in the product.
• Enhances the overall reliability and performance of
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June 10, 2025
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
David Zhu (Engineering Manager @ Alluxio)
Storing data as Parquet files on cloud object storage, such as AWS S3, has become prevalent not only for large-scale data lakes but also as lightweight feature stores for training and inference, or as document stores for Retrieval-Augmented Generation (RAG). However, querying petabyte-to-exabyte-scale data lakes directly from S3 remains notoriously slow, with latencies typically ranging from hundreds of milliseconds to several seconds.
In this webinar, David Zhu, Software Engineering Manager at Alluxio, will present the results of a joint collaboration between Alluxio and a leading SaaS and data infrastructure enterprise that explored leveraging Alluxio as a high-performance caching and acceleration layer atop AWS S3 for ultra-fast querying of Parquet files at PB scale.
David will share:
- How Alluxio delivers sub-millisecond Time-to-First-Byte (TTFB) for Parquet queries, comparable to S3 Express One Zone, without requiring specialized hardware, data format changes, or data migration from your existing data lake.
- The architecture that enables Alluxio’s throughput to scale linearly with cluster size, achieving one million queries per second on a modest 50-node deployment, surpassing S3 Express single-account throughput by 50x without latency degradation.
- Specifics on how Alluxio offloads partial Parquet read operations and reduces overhead, enabling direct, ultra-low-latency point queries in hundreds of microseconds and achieving a 1,000x performance gain over traditional S3 querying methods.
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develop eye-catching, natively-built
applications for mobile, desktop, and web,
from a single codebase. Flutter is free, open-
sourced, and compatible with existing code. It
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Using Query Store in Azure PostgreSQL to Understand Query Performance
- 1. USING QUERY STORE TO UNDERSTAND POSTGRESQL PERFORMANCE
- 2. Grant Fritchey DevOps Advocate Microsoft Data Platform MVP AWS Community Builder [email protected] scarydba.com @gfritchey linkedin.com/in/grant-fritchey
- 3. QUERY TUNING PROCESS Identify Poorly Performing Queries Examine Code and Execution Plans Implement Potential Solution Validate Improvement Deploy To Production
- 4. NOTES ON QUERY METRICS
- 9. DEMO