Performance tuning and best practices in a Knative based, large-scale serverless platform with Istio#IstioCon Performance tuning and best practices in a Knative based, large-scale serverless platform with Istio 张龚, Gong Zhang, IBM China Development Lab 庄宇, Yu Zhuang, IBM China Development Lab #IstioCon0 码力 | 23 页 | 2.51 MB | 1 年前3- Skew mitigation - CS 591 K1: Data Stream Processing and Analytics Spring 2020??? Vasiliki Kalavri | Boston University 2020 CS 591 K1: Data Stream Processing and Analytics Vasiliki (Vasia) Kalavri vkalavri@bu.edu Spring 2020 4/16: Skew mitigation ??? Vasiliki Kalavri |0 码力 | 31 页 | 1.47 MB | 1 年前3
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- Streaming optimizations - CS 591 K1: Data Stream Processing and Analytics Spring 2020??? Vasiliki Kalavri | Boston University 2020 CS 591 K1: Data Stream Processing and Analytics Vasiliki (Vasia) Kalavri vkalavri@bu.edu Spring 2020 4/14: Stream processing optimizations ??? Vasiliki0 码力 | 54 页 | 2.83 MB | 1 年前3
- Windows and triggers - CS 591 K1: Data Stream Processing and Analytics Spring 2020Vasiliki Kalavri | Boston University 2020 CS 591 K1: Data Stream Processing and Analytics Vasiliki (Vasia) Kalavri vkalavri@bu.edu Spring 2020 2/11: Windows and Triggers Vasiliki Kalavri | Boston0 码力 | 35 页 | 444.84 KB | 1 年前3
- Course introduction - CS 591 K1: Data Stream Processing and Analytics Spring 2020Vasiliki Kalavri | Boston University 2020 CS 591 K1: Data Stream Processing and Analytics Vasiliki (Vasia) Kalavri vkalavri@bu.edu Spring 2020 1/21: Introduction Vasiliki Kalavri | Boston University analysis • Visualization and aggregation • impressions, clicks, transactions, likes, comments • Analytics on user activity • Filtering, aggregation, joins with static data (e.g. user profile data) Examples Fault-tolerance & high-availability Vasiliki Kalavri | Boston University 2020 actions, alerts continuous analytics … Building a stream processor… 33 ? Vasiliki Kalavri | Boston University 2020 Optional reading0 码力 | 34 页 | 2.53 MB | 1 年前3
- Notions of time and progress - CS 591 K1: Data Stream Processing and Analytics Spring 2020University 2020 Vasiliki (Vasia) Kalavri vkalavri@bu.edu CS 591 K1: Data Stream Processing and Analytics Spring 2020 2/06: Notions of time and progress Vasiliki Kalavri | Boston University 2020 Mobile0 码力 | 22 页 | 2.22 MB | 1 年前3
- Stream processing fundamentals - CS 591 K1: Data Stream Processing and Analytics Spring 2020Vasiliki Kalavri | Boston University 2020 CS 591 K1: Data Stream Processing and Analytics Vasiliki (Vasia) Kalavri vkalavri@bu.edu Spring 2020 1/23: Stream Processing Fundamentals Vasiliki Kalavri pre-aggregated, pre-processed streams and historical data Data Management Approaches 4 storage analytics static data streaming data Vasiliki Kalavri | Boston University 2020 DBMS vs. DSMS DBMS DSMS Offer low-latency 7 2005 Vasiliki Kalavri | Boston University 2020 actions, alerts continuous analytics … Building a stream processor… 8 ? Vasiliki Kalavri | Boston University 2020 Basic Stream0 码力 | 45 页 | 1.22 MB | 1 年前3
- Cardinality and frequency estimation - CS 591 K1: Data Stream Processing and Analytics Spring 2020??? Vasiliki Kalavri | Boston University 2020 CS 591 K1: Data Stream Processing and Analytics Vasiliki (Vasia) Kalavri vkalavri@bu.edu Spring 2020 4/23: Cardinality and frequency estimation0 码力 | 69 页 | 630.01 KB | 1 年前3
- Graph streaming algorithms - CS 591 K1: Data Stream Processing and Analytics Spring 2020??? Vasiliki Kalavri | Boston University 2020 CS 591 K1: Data Stream Processing and Analytics Vasiliki (Vasia) Kalavri vkalavri@bu.edu Spring 2020 4/28: Graph Streaming ??? Vasiliki Kalavri | from scratch for every new edge? • Can we use graph synopses and summaries and compute graph analytics in one-pass? ??? Vasiliki Kalavri | Boston University 2020 Connectivity & Bipartite property0 码力 | 72 页 | 7.77 MB | 1 年前3
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