2023 COSCUP - Whats new in PostgreSQL 16
0 likes364 views
This document contains an agenda for a presentation on PostgreSQL. The agenda includes 10 items: 1) improving adaptability to large environments, 2) monitoring, 3) client applications, 4) server management and operations, 5) localization, 6) security, 7) SQL functions and commands, 8) performance, 9) logical replication, and 10) conclusion. It also includes several links to external resources providing additional information on topics related to PostgreSQL.
1 of 23
Downloaded 22 times
Ad
Recommended
Learn O11y from Grafana ecosystem.
Learn O11y from Grafana ecosystem.HungWei Chiu
?
The document discusses observability in cloud-native environments, focusing on metrics, logging, and tracing as key areas supported by technologies like Grafana and its related projects. It highlights the role of Grafana in providing a unified UI for monitoring and managing observability data, as well as the architecture and deployment modes of various tools like Mimir, Loki, and Tempo for efficient data handling. Challenges in user management and system integration are also addressed, emphasizing the importance of user-friendly interfaces and seamless service interactions.What is new in PostgreSQL 14?
What is new in PostgreSQL 14?Mydbops
?
The document provides an overview of the new features in PostgreSQL 14, such as server-side enhancements, query parallelism improvements, and updates to default authentication methods. It discusses enhancements for application developers, including new JSON syntax and range data types, as well as security improvements with predefined roles. Additionally, it outlines important updates on performance tuning, monitoring capabilities, and logical replication mechanisms, demonstrating how these features improve database management and reliability.Microservice 4.0 Journey - From Spring NetFlix OSS to Istio Service Mesh and ...
Microservice 4.0 Journey - From Spring NetFlix OSS to Istio Service Mesh and ...Daniel Oh
?
The document discusses the evolution of microservices from Spring and Netflix OSS to service mesh with Istio and serverless architectures. It highlights the architecture, deployment strategies, and features of microservices, including the use of service meshes for improved communication, resilience, and observability. The author, Daniel Oh, provides insights from his experience and outlines the significance of these technologies for modern cloud-native applications.? ?????? systemd? cgroup? ????? ???
? ?????? systemd? cgroup? ????? ???Jo Hoon
?
? ?????? cgroup? ????? systemd? ??? ??? ??? ?????.
?? v1.22? ????? systemd? ????? ??? ??? ???? ????. ClickHouse Monitoring 101: What to monitor and how
ClickHouse Monitoring 101: What to monitor and howAltinity Ltd
?
The document discusses ClickHouse monitoring, led by experienced presenters Ned McClain and Robert Hodges. It covers key metrics for monitoring ClickHouse performance, including query performance, replication issues, and provides various approaches for monitoring using tools like Prometheus and Grafana. Additionally, it emphasizes the importance of building comprehensive monitoring for the entire application and includes resources for further reading.Kubernetes
Kuberneteserialc_w
?
This document provides an overview of Kubernetes, a container orchestration system. It begins with background on Docker containers and orchestration tools prior to Kubernetes. It then covers key Kubernetes concepts including pods, labels, replication controllers, and services. Pods are the basic deployable unit in Kubernetes, while replication controllers ensure a specified number of pods are running. Services provide discovery and load balancing for pods. The document demonstrates how Kubernetes can be used to scale, upgrade, and rollback deployments through replication controllers and services.Spectacular Future with clojure.spec
Spectacular Future with clojure.specKent Ohashi
?
clojure.specを試喘して筝にいClojureコ`ト?をこう(*> ? ?*)f?
cf. https://github.com/lagenorhynque/spec-examplesKubernetes Architecture | Understanding Kubernetes Components | Kubernetes Tu...
Kubernetes Architecture | Understanding Kubernetes Components | Kubernetes Tu...Edureka!
?
The document outlines a Kubernetes certification training agenda covering fundamental concepts such as Kubernetes architecture, master and worker nodes, and the key components involved. It highlights Kubernetes as an open-source container management tool that automates deployment, scaling, and load balancing across various cloud environments. Additionally, it discusses features like self-healing, service discovery, and storage orchestration, as well as challenges associated with network setup and communication.[NDC 2018] Spark, Flintrock, Airflow ? ???? ????? ??? ??? ???? ??? ??? ??
[NDC 2018] Spark, Flintrock, Airflow ? ???? ????? ??? ??? ???? ??? ??? ??Juhong Park
?
[NDC 2018] Spark, Flintrock, Airflow ? ???? ????? ??? ??? ???? ??? ??? ??Elasticsearch
ElasticsearchHermeto Romano
?
This document discusses Elasticsearch, an open source search engine that can handle large volumes of data in real time. It is based on Apache Lucene, a full-text search engine, and was developed by Shay Banon in 2010. Elasticsearch stores data in JSON documents and works by indexing these documents so they can be quickly searched. Some key advantages include being RESTful, scalable, simple and transparent, and fast. Disadvantages include only supporting JSON for requests and responses as well as some challenges around processing. The document recommends starting with the official Elasticsearch documentation.幄塀氏芙コロプラ〆GKE と Cloud Spanner がS咾垢襯疋薀乾鵐エストウォ`ク〇及 9 指 Google Cloud INSIDE Game...
幄塀氏芙コロプラ〆GKE と Cloud Spanner がS咾垢襯疋薀乾鵐エストウォ`ク〇及 9 指 Google Cloud INSIDE Game...Google Cloud Platform - Japan
?
2019 定 11 埖 18 晩 Google Cloud INSIDE Game & Apps
〆GKE と Cloud Spanner がS咾垢
ドラゴンクエストウォ`ク〇
幄塀氏芙コロプラ 布 屎箆と幌弥 寄篳呂砲茲襯札奪轡腑鵑竜スライドです。PostgreSQL 15 and its Major Features -(Aakash M - Mydbops) - Mydbops Opensour...
PostgreSQL 15 and its Major Features -(Aakash M - Mydbops) - Mydbops Opensour...Mydbops
?
The document discusses the features and improvements of PostgreSQL 15, highlighting performance enhancements in system administration, logical replication, SQL, and security. Key improvements include optimized sorting algorithms, support for parallelism, and new security features such as revoking public create privileges and implementing security invoker views. It also outlines methods for upgrading to PostgreSQL 15, including logical dump/restore and binary in-place upgrade.Naver???, ??? ??, ??? ?? ??DB (??? ?????? ??DB) [Naver]
Naver???, ??? ??, ??? ?? ??DB (??? ?????? ??DB) [Naver]MongoDB
?
??? ???? ??DB ??? ?? ??? ?? ??
- ????? ??
- ??DB???? ??
- ??DB ?? ???Introduction to kubernetes
Introduction to kubernetesMichal Cwienczek
?
This document provides an introduction to Kubernetes, an open-source system for automating deployment, scaling, and management of containerized applications. It first reviews what Docker is and its features like isolation and compatibility across platforms. It then explains that container orchestration is needed to manage thousands of containers across a cluster, ensure efficient resource use, and automate container lifecycles. Kubernetes is recommended because it is actively developed by major companies, makes scheduling and managing workloads easy through features like rolling updates, and has many extensions available.Solving PostgreSQL wicked problems
Solving PostgreSQL wicked problemsAlexander Korotkov
?
The document discusses the persistent challenges ('wicked problems') faced by PostgreSQL, including issues with MVCC, failover data loss, and inefficient replication. It highlights criticisms of PostgreSQL while outlining potential solutions, particularly through the development of the OrioleDB extension, designed to address scalability and performance issues. Benchmarks indicate that OrioleDB significantly enhances transaction throughput compared to standard PostgreSQL under various conditions.Not Just UNIQUE: Exclusion Constraints
Not Just UNIQUE: Exclusion ConstraintsCommand Prompt., Inc
?
The document discusses exclusion constraints introduced in PostgreSQL 9.0, which provide a mechanism to enforce schedule conflict constraints in databases. It highlights existing solutions for managing schedule conflicts, their drawbacks, and presents exclusion constraints as a scalable and flexible alternative. These constraints allow for the specification of non-overlapping reservations, offering a more efficient solution than traditional approaches.Apache Airflow
Apache AirflowSumit Maheshwari
?
The document outlines a discussion by Sumit Maheshwari from Qubole about various workflow solutions, focusing on Apache Airflow as a preferred choice due to its comprehensive features and Python code base. It compares multiple options like Oozie, Pinball, and Luigi, highlighting their pros and cons, and also details Airflow's architecture and community engagement. The presentation emphasizes how Airflow, which originated at Airbnb and is now under Apache's incubation, is actively developed and used by several prominent companies.YugaByte DB Internals - Storage Engine and Transactions
YugaByte DB Internals - Storage Engine and Transactions Yugabyte
?
This document introduces YugaByte DB, a high-performance, distributed, transactional database. It is built to scale horizontally on commodity servers across data centers for mission-critical applications. YugaByte DB uses a transactional document store based on RocksDB, Raft-based replication for resilience, and automatic sharding and rebalancing. It supports ACID transactions across documents, provides APIs compatible with Cassandra and Redis, and is open source. The architecture is designed for high performance, strong consistency, and cloud-native deployment.Apache Arrow Flight: A New Gold Standard for Data Transport
Apache Arrow Flight: A New Gold Standard for Data TransportWes McKinney
?
This document discusses how structured data is often moved inefficiently between systems, causing waste. It introduces Apache Arrow, an open standard for in-memory data, and how Arrow can help make data movement more efficient. Systems like Snowflake and BigQuery are now using Arrow to help speed up query result fetching by enabling zero-copy data transfers and sharing file formats between query processing and storage.At least onceってぶっちゃけ}の枠僕りだったよね #kafkajp
At least onceってぶっちゃけ}の枠僕りだったよね #kafkajp額温鞄看看!デベロッパ`ネットワ`ク
?
Apache Kafka Meetup Japan #3 https://kafka-apache-jp.connpass.com/event/58619/ k燕Y創ProxySQL at Scale on AWS.pdf
ProxySQL at Scale on AWS.pdfAleksandr Kuzminsky
?
The document discusses the implementation of ProxySQL at scale on AWS, highlighting challenges such as diverse backend types, short-lived instances, and the need for zero downtime migrations. It details a three-level provisioning process involving Terraform for infrastructure management, health checks, and the use of various modules for automating configuration and deployment. Additionally, it covers strategies for versioning and testing to ensure stability and performance during changes.Kubernetes and container security
Kubernetes and container securityVolodymyr Shynkar
?
The document outlines best practices for Kubernetes and container security, highlighting the importance of vulnerability scanning, restricted permissions, and periodic reviews to minimize attack surfaces. It details specific strategies for enhancing security, including design patterns in Dockerfile and deployment methods, as well as tools for auditing and monitoring Kubernetes environments. Furthermore, it discusses key principles such as the 'principle of least privilege' and the necessity of managing secrets properly within the Kubernetes ecosystem.PostgreSQL芦協\喘のコツ2009 @hbstudy#5
PostgreSQL芦協\喘のコツ2009 @hbstudy#5Uptime Technologies LLC (JP)
?
2009定11埖14晩のインフラエンジニア茶氏hbstudyで聞喘したスライドです。
hbstudy#5
http://tinyurl.com/hbstudy5
?パフォ`マンスと兜豚O協
?デ`タベ`スのO
?來嬬喪晒とメンテナンス
を根んでいます。PostgreSQLをKubernetes貧で試喘するためのOperatorB初。Cloud Native Database Meetup #3 k燕Y創
PostgreSQLをKubernetes貧で試喘するためのOperatorB初。Cloud Native Database Meetup #3 k燕Y創NTT DATA Technology & Innovation
?
PostgreSQLをKubernetes貧で試喘するためのOperatorB初
Cloud Native Database Meetup #3 k燕Y創
2022定1埖14晩
NTTデ`タ
室g_k云何 枠Mコンピュ`ティング室gセンタ
儲小 囘俛Cassandra Introduction & Features
Cassandra Introduction & FeaturesDataStax Academy
?
Apache Cassandra is an open-source, distributed, decentralized, and highly available database characterized by elastic scalability and tunable consistency, originally developed at Facebook. Key features include a column-oriented key-value store, a SQL-like query interface (CQL), and optimized high performance suitable for large-scale applications. Notable users like eBay employ Cassandra for various applications, including fraud detection and real-time insights.20240803 COSCUP Case studies of PostgreSQL
20240803 COSCUP Case studies of PostgreSQLJos└ Lin
?
乎猟亀古峰阻永看壊岳乙姻艶皆河晦壓音揖糟囃議哘喘宛箭淫凄炎彈哘喘、寄侏巷望、屓軒才嗤箸議聞喘魁尚泌窮徨斌暦、親僥冩梢才麗選利。猟亀珊網胎阻永看壊岳乙姻艶皆河晦議蒙來才壓方象砿尖嶄議嶷勣來參式泌採資函犢慂象。屁悶坪否婢幣阻永看壊岳乙姻艶皆河晦恬葎方象垂砿尖狼由壓謹倖佩匍嶄議鴻刑哘喘才單米。2022 COSCUP - Let's speed up your PostgreSQL services!.pptx
2022 COSCUP - Let's speed up your PostgreSQL services!.pptxJos└ Lin
?
This document discusses ways to speed up PostgreSQL services. It begins with an introduction of the speaker and covers three main topics: architecture design, query optimization, and parameter configuration. For architecture design, it recommends using connection pools like PgBouncer and read-write separation with Pgpool-II. For query optimization, it suggests finding slow queries, diagnosing abnormal SQL, using EXPLAIN, and parallel queries. For parameter configuration, it provides guidance on tuning background writer settings and memory-related parameters. The goal is to avoid bottlenecks being discovered only during emergencies and optimize performance without focusing on hardware.More Related Content
What's hot (20)
Spectacular Future with clojure.spec
Spectacular Future with clojure.specKent Ohashi
?
clojure.specを試喘して筝にいClojureコ`ト?をこう(*> ? ?*)f?
cf. https://github.com/lagenorhynque/spec-examplesKubernetes Architecture | Understanding Kubernetes Components | Kubernetes Tu...
Kubernetes Architecture | Understanding Kubernetes Components | Kubernetes Tu...Edureka!
?
The document outlines a Kubernetes certification training agenda covering fundamental concepts such as Kubernetes architecture, master and worker nodes, and the key components involved. It highlights Kubernetes as an open-source container management tool that automates deployment, scaling, and load balancing across various cloud environments. Additionally, it discusses features like self-healing, service discovery, and storage orchestration, as well as challenges associated with network setup and communication.[NDC 2018] Spark, Flintrock, Airflow ? ???? ????? ??? ??? ???? ??? ??? ??
[NDC 2018] Spark, Flintrock, Airflow ? ???? ????? ??? ??? ???? ??? ??? ??Juhong Park
?
[NDC 2018] Spark, Flintrock, Airflow ? ???? ????? ??? ??? ???? ??? ??? ??Elasticsearch
ElasticsearchHermeto Romano
?
This document discusses Elasticsearch, an open source search engine that can handle large volumes of data in real time. It is based on Apache Lucene, a full-text search engine, and was developed by Shay Banon in 2010. Elasticsearch stores data in JSON documents and works by indexing these documents so they can be quickly searched. Some key advantages include being RESTful, scalable, simple and transparent, and fast. Disadvantages include only supporting JSON for requests and responses as well as some challenges around processing. The document recommends starting with the official Elasticsearch documentation.幄塀氏芙コロプラ〆GKE と Cloud Spanner がS咾垢襯疋薀乾鵐エストウォ`ク〇及 9 指 Google Cloud INSIDE Game...
幄塀氏芙コロプラ〆GKE と Cloud Spanner がS咾垢襯疋薀乾鵐エストウォ`ク〇及 9 指 Google Cloud INSIDE Game...Google Cloud Platform - Japan
?
2019 定 11 埖 18 晩 Google Cloud INSIDE Game & Apps
〆GKE と Cloud Spanner がS咾垢
ドラゴンクエストウォ`ク〇
幄塀氏芙コロプラ 布 屎箆と幌弥 寄篳呂砲茲襯札奪轡腑鵑竜スライドです。PostgreSQL 15 and its Major Features -(Aakash M - Mydbops) - Mydbops Opensour...
PostgreSQL 15 and its Major Features -(Aakash M - Mydbops) - Mydbops Opensour...Mydbops
?
The document discusses the features and improvements of PostgreSQL 15, highlighting performance enhancements in system administration, logical replication, SQL, and security. Key improvements include optimized sorting algorithms, support for parallelism, and new security features such as revoking public create privileges and implementing security invoker views. It also outlines methods for upgrading to PostgreSQL 15, including logical dump/restore and binary in-place upgrade.Naver???, ??? ??, ??? ?? ??DB (??? ?????? ??DB) [Naver]
Naver???, ??? ??, ??? ?? ??DB (??? ?????? ??DB) [Naver]MongoDB
?
??? ???? ??DB ??? ?? ??? ?? ??
- ????? ??
- ??DB???? ??
- ??DB ?? ???Introduction to kubernetes
Introduction to kubernetesMichal Cwienczek
?
This document provides an introduction to Kubernetes, an open-source system for automating deployment, scaling, and management of containerized applications. It first reviews what Docker is and its features like isolation and compatibility across platforms. It then explains that container orchestration is needed to manage thousands of containers across a cluster, ensure efficient resource use, and automate container lifecycles. Kubernetes is recommended because it is actively developed by major companies, makes scheduling and managing workloads easy through features like rolling updates, and has many extensions available.Solving PostgreSQL wicked problems
Solving PostgreSQL wicked problemsAlexander Korotkov
?
The document discusses the persistent challenges ('wicked problems') faced by PostgreSQL, including issues with MVCC, failover data loss, and inefficient replication. It highlights criticisms of PostgreSQL while outlining potential solutions, particularly through the development of the OrioleDB extension, designed to address scalability and performance issues. Benchmarks indicate that OrioleDB significantly enhances transaction throughput compared to standard PostgreSQL under various conditions.Not Just UNIQUE: Exclusion Constraints
Not Just UNIQUE: Exclusion ConstraintsCommand Prompt., Inc
?
The document discusses exclusion constraints introduced in PostgreSQL 9.0, which provide a mechanism to enforce schedule conflict constraints in databases. It highlights existing solutions for managing schedule conflicts, their drawbacks, and presents exclusion constraints as a scalable and flexible alternative. These constraints allow for the specification of non-overlapping reservations, offering a more efficient solution than traditional approaches.Apache Airflow
Apache AirflowSumit Maheshwari
?
The document outlines a discussion by Sumit Maheshwari from Qubole about various workflow solutions, focusing on Apache Airflow as a preferred choice due to its comprehensive features and Python code base. It compares multiple options like Oozie, Pinball, and Luigi, highlighting their pros and cons, and also details Airflow's architecture and community engagement. The presentation emphasizes how Airflow, which originated at Airbnb and is now under Apache's incubation, is actively developed and used by several prominent companies.YugaByte DB Internals - Storage Engine and Transactions
YugaByte DB Internals - Storage Engine and Transactions Yugabyte
?
This document introduces YugaByte DB, a high-performance, distributed, transactional database. It is built to scale horizontally on commodity servers across data centers for mission-critical applications. YugaByte DB uses a transactional document store based on RocksDB, Raft-based replication for resilience, and automatic sharding and rebalancing. It supports ACID transactions across documents, provides APIs compatible with Cassandra and Redis, and is open source. The architecture is designed for high performance, strong consistency, and cloud-native deployment.Apache Arrow Flight: A New Gold Standard for Data Transport
Apache Arrow Flight: A New Gold Standard for Data TransportWes McKinney
?
This document discusses how structured data is often moved inefficiently between systems, causing waste. It introduces Apache Arrow, an open standard for in-memory data, and how Arrow can help make data movement more efficient. Systems like Snowflake and BigQuery are now using Arrow to help speed up query result fetching by enabling zero-copy data transfers and sharing file formats between query processing and storage.At least onceってぶっちゃけ}の枠僕りだったよね #kafkajp
At least onceってぶっちゃけ}の枠僕りだったよね #kafkajp額温鞄看看!デベロッパ`ネットワ`ク
?
Apache Kafka Meetup Japan #3 https://kafka-apache-jp.connpass.com/event/58619/ k燕Y創ProxySQL at Scale on AWS.pdf
ProxySQL at Scale on AWS.pdfAleksandr Kuzminsky
?
The document discusses the implementation of ProxySQL at scale on AWS, highlighting challenges such as diverse backend types, short-lived instances, and the need for zero downtime migrations. It details a three-level provisioning process involving Terraform for infrastructure management, health checks, and the use of various modules for automating configuration and deployment. Additionally, it covers strategies for versioning and testing to ensure stability and performance during changes.Kubernetes and container security
Kubernetes and container securityVolodymyr Shynkar
?
The document outlines best practices for Kubernetes and container security, highlighting the importance of vulnerability scanning, restricted permissions, and periodic reviews to minimize attack surfaces. It details specific strategies for enhancing security, including design patterns in Dockerfile and deployment methods, as well as tools for auditing and monitoring Kubernetes environments. Furthermore, it discusses key principles such as the 'principle of least privilege' and the necessity of managing secrets properly within the Kubernetes ecosystem.PostgreSQL芦協\喘のコツ2009 @hbstudy#5
PostgreSQL芦協\喘のコツ2009 @hbstudy#5Uptime Technologies LLC (JP)
?
2009定11埖14晩のインフラエンジニア茶氏hbstudyで聞喘したスライドです。
hbstudy#5
http://tinyurl.com/hbstudy5
?パフォ`マンスと兜豚O協
?デ`タベ`スのO
?來嬬喪晒とメンテナンス
を根んでいます。PostgreSQLをKubernetes貧で試喘するためのOperatorB初。Cloud Native Database Meetup #3 k燕Y創
PostgreSQLをKubernetes貧で試喘するためのOperatorB初。Cloud Native Database Meetup #3 k燕Y創NTT DATA Technology & Innovation
?
PostgreSQLをKubernetes貧で試喘するためのOperatorB初
Cloud Native Database Meetup #3 k燕Y創
2022定1埖14晩
NTTデ`タ
室g_k云何 枠Mコンピュ`ティング室gセンタ
儲小 囘俛Cassandra Introduction & Features
Cassandra Introduction & FeaturesDataStax Academy
?
Apache Cassandra is an open-source, distributed, decentralized, and highly available database characterized by elastic scalability and tunable consistency, originally developed at Facebook. Key features include a column-oriented key-value store, a SQL-like query interface (CQL), and optimized high performance suitable for large-scale applications. Notable users like eBay employ Cassandra for various applications, including fraud detection and real-time insights.幄塀氏芙コロプラ〆GKE と Cloud Spanner がS咾垢襯疋薀乾鵐エストウォ`ク〇及 9 指 Google Cloud INSIDE Game...
幄塀氏芙コロプラ〆GKE と Cloud Spanner がS咾垢襯疋薀乾鵐エストウォ`ク〇及 9 指 Google Cloud INSIDE Game...Google Cloud Platform - Japan
?
PostgreSQLをKubernetes貧で試喘するためのOperatorB初。Cloud Native Database Meetup #3 k燕Y創
PostgreSQLをKubernetes貧で試喘するためのOperatorB初。Cloud Native Database Meetup #3 k燕Y創NTT DATA Technology & Innovation
?
More from Jos└ Lin (9)
20240803 COSCUP Case studies of PostgreSQL
20240803 COSCUP Case studies of PostgreSQLJos└ Lin
?
乎猟亀古峰阻永看壊岳乙姻艶皆河晦壓音揖糟囃議哘喘宛箭淫凄炎彈哘喘、寄侏巷望、屓軒才嗤箸議聞喘魁尚泌窮徨斌暦、親僥冩梢才麗選利。猟亀珊網胎阻永看壊岳乙姻艶皆河晦議蒙來才壓方象砿尖嶄議嶷勣來參式泌採資函犢慂象。屁悶坪否婢幣阻永看壊岳乙姻艶皆河晦恬葎方象垂砿尖狼由壓謹倖佩匍嶄議鴻刑哘喘才單米。2022 COSCUP - Let's speed up your PostgreSQL services!.pptx
2022 COSCUP - Let's speed up your PostgreSQL services!.pptxJos└ Lin
?
This document discusses ways to speed up PostgreSQL services. It begins with an introduction of the speaker and covers three main topics: architecture design, query optimization, and parameter configuration. For architecture design, it recommends using connection pools like PgBouncer and read-write separation with Pgpool-II. For query optimization, it suggests finding slow queries, diagnosing abnormal SQL, using EXPLAIN, and parallel queries. For parameter configuration, it provides guidance on tuning background writer settings and memory-related parameters. The goal is to avoid bottlenecks being discovered only during emergencies and optimize performance without focusing on hardware.PostgreSQL ecosystem
PostgreSQL ecosystemJos└ Lin
?
This document discusses the PostgreSQL ecosystem and provides an overview of various tools and extensions. It begins with introductions of the speaker and Taiwan PostgreSQL User Group. The agenda then covers topics like load balancers (PgBouncer, Pgpool-II), replication (Postgres BDR), REST APIs (PostgREST), schema models (PostGIS, PipelineDB, Apache AGE), scalability (Greenplum DB, Postgres-XC/XC2/XL), foreign data wrappers, and other tools like Apache MADlib. The speaker hopes to promote wider adoption of PostgreSQL in Taiwan and collaboration with local system integrators.PostgreSQL 13 New Features
PostgreSQL 13 New FeaturesJos└ Lin
?
PostgreSQL 13 introduced several new features including improved handling of duplicate data in b-tree indexes, enhancements in logical replication and partitioning, incremental sorting, and parallel vacuum capabilities. These updates aim to increase performance and efficiency while providing better monitoring and security options for users. The features were discussed in a presentation by 爽忱踵 at the Taiwan PostgreSQL User Group in 2020.The Digital Experiences with Postgresql in Taiwan
The Digital Experiences with Postgresql in TaiwanJos└ Lin
?
2019定11埖15晩(署)、仝PostgreSQL Conference Japan 2019々を_岸いたしました
https://www.postgresql.jp/jpug-pgcon2019
(蒙ev處) ‐S1／
The Digital Experience with PostgreSQL in Taiwan - Lin Tsung-Hsi
岬羅PostgreSQLデジタル悶Y - 爽 忱踵
What's new in PostgreSQL 11 ?
What's new in PostgreSQL 11 ?Jos└ Lin
?
The document summarizes the new features in PostgreSQL 11, including enhancements to table partitioning such as hash partitioning, default partitions, updating partition keys, automatically creating indexes on partitions, adding unique constraints to partitions, and enabling partition-wise joins and aggregates. It also provides examples of using various partitioning features and explains the benefits of partition-wise processing.PostgreSQL 10 New Features
PostgreSQL 10 New FeaturesJos└ Lin
?
猟周初B阻PostgreSQL 10議仟孔嬬淫凄奐議Y創燕蛍護、}u才峠佩臥室g參式PostgreSQL議v雰嘘尚。處v宀爽忱踵蛍軈頬PostgreSQL議柢埃暗c岬PostgreSQL聞喘宀芙蛤議cv。猟nf苧阻耽仟孔嬬議室g才恬圭塀。2016-12-15 NewSQLY創贅IoT議喘 - iServDB
2016-12-15 NewSQLY創贅IoT議喘 - iServDBJos└ Lin
?
猟亀網胎阻壓麗選利(鴛看意)嶄哘喘鰻艶敬皆河晦方象垂議單米蒙艶頁庄壊艶姻厩糸恢万児噐永看壊岳乙姻艶皆河晦旺潤栽阻鰻看皆河晦蒙來參屶隔互來嬬才寄号庁方象侃尖。庄壊艶姻厩糸恢戻工阻謹嶽方象贋刈哈陪嬬校侃尖潤更晒才掲潤更晒方象揖扮屶隔蛍下塀尺更才謹嶽蝕窟囂冱。乎狼由珊醤姥嚥鴛看意勧湖匂才及美圭罷周議酔堀鹿撹嬬薦參戻互方象蛍裂議丼楕。蝕坿室宝秀更匡同住叟彿創垂
蝕坿室宝秀更匡同住叟彿創垂Jos└ Lin
?
云猟冥網阻泌採旋喘蝕坿室宝更秀互丼議同暦住叟方象垂嶷泣購廣鰻看皆河晦才鰻艶敬皆河晦方象垂狼由議僉夲。僉夲栽癖議蝕坿盾畳圭宛頁購囚膿距紗酔並暦侃尖堀業議嶷勣來旺初府阻聞喘閣看鉛岳禽京恬葎盾畳圭宛議單髪泣。恷朔猟嶄悳潤阻壓僉夲蝕坿罷周扮俶勣深打議咀殆淫凄井云厚仟、芙曝屶隔才俯辛屬窃侏。Ad
Recently uploaded (20)
Azure AI Foundry: The AI app and agent factory
Azure AI Foundry: The AI app and agent factoryMaxim Salnikov
?
Discover how Azure AI Foundry is transforming the way organizations innovate and operate. This session explores the pivotal role of AI in reshaping business processes, enhancing employee experiences, and redefining customer engagement. Attendees will gain insights into the strategic value of AI investments, including the measurable returns and the growing momentum behind generative AI experimentation.
The talk introduces the emerging paradigm of agentic AI - intelligent agents that are revolutionizing how we build, manage, and interact with software. Through real-world examples, the session demonstrates how Azure AI Foundry empowers teams to design, customize, and scale AI applications and agents, unlocking new levels of efficiency and creativity across industries.Threat Modeling a Batch Job Framework - Teri Radichel - AWS re:Inforce 2025
Threat Modeling a Batch Job Framework - Teri Radichel - AWS re:Inforce 20252nd Sight Lab
?
This presentation is similar to another presentation I gave earlier in the year at the AWS Community Security Day, except that I had less time to present and incorporated some AI slides into the presentation. In this presentation I explain what batch jobs are, how to use them, and that AI Agents are essentially batch jobs. All the same security controls that apply to batch jobs also apply to AI agents. In addition, we have more concerns with AI agents because AI is based on a statistical model. That means that depending on where and how AI is used we lose some of the reliability that we would get from a traditional batch job. That needs to be taken into consideration when selecting how and when to use AI Agents as batch jobs and whether we should use AI to trigger an Agent. As I mention on one side - I don't want you to predict what my bank statement should look like. I want it to be right! By looking at various data breaches we can determine how those attacks worked and whether the system we are building is susceptible to a similar attack or not. Best AI-Powered Wearable Tech for Remote Health Monitoring in 2025
Best AI-Powered Wearable Tech for Remote Health Monitoring in 2025SEOLIFT - SEO Company London
?
Introduction In 2025, the fusion of artificial intelligence (AI) with wearable technology is redefining how we monitor health remotely. With the rise in chronic illnesses and the need for proactive health tracking, AI-powered wearables have emerged as essential tools. These devices offer real-time health insights, predictive alerts, and seamless integration with telehealth services.IObit Driver Booster Pro 12 Crack Latest Version Download
IObit Driver Booster Pro 12 Crack Latest Version Downloadpcprocore
?
?????:???? ???? & ????? ???? ?????? ??? ????? https://pcprocore.com/ ??
IObit Driver Booster Pro is the solution. It automatically downloads and updates drivers with just one click, avoiding hardware failures, system instability, and security vulnerabilities.Top Time Tracking Solutions for Accountants
Top Time Tracking Solutions for Accountantsoliviareed320
?
This presentation explores the importance of time tracking for accountants and introduces modern solutions that help streamline billable hours, improve productivity, and eliminate manual tracking errors. Learn how time tracking software tailored for accounting professionals can simplify client billing, ensure compliance, and enhance profitability.
From key challenges in time management to top features to look for in a solution, this presentation offers valuable insights and practical tips for solo accountants, finance teams, and accounting firms looking to optimize their time-tracking workflows.https://www.invoicera.com/blog/invoicing/best-time-tracking-software-for-accountants/
Simplify Insurance Regulations with Compliance Management Software
Simplify Insurance Regulations with Compliance Management SoftwareInsurance Tech Services
?
Streamline your compliance processes and stay up-to-date with changing regulations effortlessly. Our Compliance Management Software helps insurers reduce risk, avoid penalties, and maintain full compliance ！ all from a unified platform. Explore More - https://www.damcogroup.com/insurance/compliance-management-softwareCodeCleaner: Mitigating Data Contamination for LLM Benchmarking
CodeCleaner: Mitigating Data Contamination for LLM Benchmarkingarabelatso
?
This is the pdf-version slides for the presentation "CodeCleaner: Mitigating Data Contamination for LLM Benchmarking" in Internetware 2025.On-Device AI: Is It Time to Go All-In, or Do We Still Need the Cloud?
On-Device AI: Is It Time to Go All-In, or Do We Still Need the Cloud?Hassan Abid
?
As mobile hardware becomes more powerful, the promise of running advanced AI directly on-device is closer than ever. With Google¨s latest on-device model Gemini Nano, accessible through the new ML Kit GenAI APIs and AI Edge SDK, alongside the open-source Gemma-3n models, developers can now integrate lightweight, multimodal intelligence that works even without an internet connection. But does this mean we no longer need cloud-based AI? This session explores the practical trade-offs between on-device and cloud AI for mobile apps.arctitecture application system design os dsa
arctitecture application system design os dsaza241967
?
wow amazing see and enjoy for this the best pdf slideshow you could see random shit is what i do best IDM Crack with Internet Download Manager 6.42 Build 41 [Latest 2025]
IDM Crack with Internet Download Manager 6.42 Build 41 [Latest 2025]pcprocore
?
?Copy link &paste Google new tab > https://pcprocore.com/ ??
IDM Crack with Internet Download Manager (IDM) is a tool to increase download speeds, resume, and schedule downloads.Comprehensive error recovery and resume capability will restart broken or interrupted downloads due to lost connections, network problems, computer shutdowns, or unexpected power outages. The simple graphic user interface makes IDM user-friendly and easy to use. Internet Download Manager has a smart download logic accelerator with intelligent dynamic file segmentation and safe multipart downloading technology to accelerate your downloads. Unlike other download managers and accelerators, Internet Download Manager segments downloaded files dynamically during the download process and reuses available connections without additional connect and login stages to achieve the best acceleration performance for IDM users.
System Requirements of IDM:
Operating System: Windows XP, NT, 2000, Vista, 7, 8, 8.1, 10 & 11 (32bit and 64bit)
Memory (RAM): 512 MB of RAM required
Hard Disk Space: 25 MB of free space required for full installation
Processor: Intel Pentium 4 Dual Core GHz or higher. Ensure your system meets these requirements for the IDM Crack to function properly.
How to Install and Crack:
Temporarily disable the antivirus until the IDM Crack process
Install ＾idman642build41.exe￣
Extract ＾IDM 6.42.41 Patch.rar￣ (Password is: 123)
Install ＾IDM 6.42.41 Patch.exe￣
Done!!! Enjoy!!!From Code to Commerce, a Backend Java Developer's Galactic Journey into Ecomm...
From Code to Commerce, a Backend Java Developer's Galactic Journey into Ecomm...Jamie Coleman
?
In a galaxy not so far away, a Java developer advocate embarks on an epic quest into the vast universe of e-commerce. Armed with backend languages and the wisdom of microservice architectures, set out with us to learn the ways of the Force. Navigate the asteroid fields of available tools and platforms; tackle the challenge of integrating location-based technologies into open-source projects; placate the Sith Lords by enabling great customer experiences.
Follow me on this journey from humble Java coder to digital marketplace expert. Through tales of triumph and tribulation, gain valuable insights into conquering the e-commerce frontier - such as the different open-source solutions available - and learn how technology can bring balance to the business Force, large or small. May the code be with you. Heat Treatment Process Automation in India
Heat Treatment Process Automation in IndiaReckers Mechatronics
?
Automate your heat treatment processes for superior precision, consistency, and cost savings. Explore solutions for furnaces, quench systems. Heat treatment is a critical manufacturing process that alters the microstructure and properties of materials, typically metals, to achieve desired characteristics such as hardness, strength, ductility, and wear resistance. AI for PV: Development and Governance for a Regulated Industry
AI for PV: Development and Governance for a Regulated IndustryBiologit
?
AI for pharmacovigilance: Development and Governance for a Regulated Industry.
A survey of regulatory guidance for the use of artificial intelligence in pharmacovigilance and best practices for its safe implementation with the Biologit literature platform as case study.University Campus Navigation for All - Peak of Data & AI
University Campus Navigation for All - Peak of Data & AISafe Software
?
Navigating around the 1000 acres of UBC Vancouver¨s campus may look like a walk in a park, but when you¨re a student in a wheelchair trying to find a powered door to the class you¨re late for, it is not all that scenic. UBC¨s GIS team will share the journey from the original 2003 static map application to the current web application built using FME and the ArcGIS JavaScript API. There were two main goals with this new application: 1. Enable the UBC community to easily interact with and navigate the campus by walking, cycling and accessible means (which include mobility constraints such as steep slopes, stairs, and doors that are not powered). 2. Provide high quality geospatial data that is authoritative and updated using FME to reflect existing conditions on campus including road, sidewalk or building closures for construction. We will cover the unique challenges in creating a navigation application which offers features that Google Maps cannot at the scale of a University campus. Door to door navigation, avoiding stairs and steep slopes, navigating to accessible entrances and up to date construction barriers are some of the features we will discuss.declaration of Variables and constants.pptx
declaration of Variables and constants.pptxmeemee7378
?
Rules of declaration of variables and constantsHumans vs AI Call Agents - Qcall.ai's Special Report
Humans vs AI Call Agents - Qcall.ai's Special ReportUdit Goenka
?
Humans vs Agentic AI Cost Comparison: Cut 85% Support Costs
TL;DR: Agentic AI crushes human costs in L1/L2 support with 85% savings, 300% efficiency gains, and 90%+ success rates.
Your CFO just asked: "Why spend $2.3M annually on L1 support when competitors automated 80% for under $200K?" The humans vs agentic AI cost debate isn't theoretical - it's happening now.
Real Cost Breakdown:
- India L1/L2 Agent: ?6,64,379 ($8,000) annually (full cost)
- US L1/L2 Agent: $70,000 annually (loaded cost)
- Qcall.ai Agentic AI: ?6/min ($0.07/min) = 85% savings
Game-Changing Results:
- 47 human agents ★ 8 agents + AI system
- Operating costs: $2.8M ★ $420K (85% reduction)
- Customer satisfaction: 78% ★ 91%
- First call resolution: 72% ★ 94%
- Languages: 2-3 ★ 15+ fluently
Why Agentic AI Wins:
- Human Limitations: 8hrs/day, 1-2 languages, 30-45% attrition, mood-dependent, 6-12 weeks training
- Qcall.ai Advantages: 24/7 availability, 97% humanized voice, <60 second response, intelligent qualification, seamless handoff
Industry Impact:
- E-commerce: 82% cost reduction
- Healthcare: 90% appointment automation
- SaaS: 23% satisfaction improvement
- Financial: 95% inquiry automation
Implementation:
- Setup: 2-5 days vs 6-12 weeks hiring
- ROI: Break-even in 3 months
- Scaling: Instant global expansion
Competitive Gap:
- Early Adopters: 85% cost advantage, superior metrics, faster expansion
Late Adopters: Higher costs, limited scalability, compounding disadvantage
Similar automation patterns emerge across industries.
Marketing teams use autoposting.ai for social media automation - same human-AI collaboration model driving L1/L2 transformation.
"We reduced support costs by 78% while improving satisfaction by 31%. ROI was immediate and keeps compounding." - COO, Global SaaS Company
Getting Started:
Calculate current L1/L2 costs
Assess repetitive tasks
Request Qcall.ai demo
Plan 20% pilot
Bottom Line: Companies avoiding this shift hemorrhage millions while competitors scale globally with fraction of costs. The question isn't whether agentic AI will replace routine tasks - it's whether you'll implement before competitors gain insurmountable advantage.
Ready to transform operations? This reveals complete cost analysis, implementation strategy, and competitive advantages.Foundations of Marketo Engage - Programs, Campaigns & Beyond - June 2025
Foundations of Marketo Engage - Programs, Campaigns & Beyond - June 2025BradBedford3
?
Join us for an exciting introductory session on, Foundations of Marketo Engage: Programs, Campaigns & Beyond. Ideal for new and early-stage users looking to build confidence and capability in Marketo Engage.
Our speakers for this session will be:
AJ Navarro
Marketing Operations Manager - Sprout Social
Bobby Coppola
Marketing Manager - Blue Yonder
This event will guide you through the essential steps to build strong, scalable Programs, Channels, Tags, Smart Campaigns, and Reporting Basics in Marketo Engage.
Attendees will gain practical knowledge on how to structure and launch marketing initiatives, leverage templates for efficiency, and implement best practices for campaign execution and measurement. You'll leave with actionable insights you can immediately apply to your own Marketo instance to improve organization, automation, and reporting. Marketo Engage.
Learn how to create impactful programs and understand the best practices for seamless campaign management and effective reporting.
Don¨t miss out on this opportunity to gain hands-on guidance from experienced practitioners and to connect with peers who are also new to the platform. Secure your spot today and start building your path to becoming a Marketo pro!
Please feel free to invite colleagues who you think would also benefit from this session.Canva Pro Crack Free Download 2025-FREE LATEST
Canva Pro Crack Free Download 2025-FREE LATESTgrete1122g
?
???COPY & PASTE LINK >> https://click4pc.com/after-verification-click-go-to-download-page/
Canva Pro PC Crack is a practical design app to create beautiful montages and compositions with a lot of resources on the platform.Simplify Task, Team, and Project Management with Orangescrum Work
Simplify Task, Team, and Project Management with Orangescrum WorkOrangescrum
?
Streamline project workflows, team collaboration, and time tracking with orangescrum work, your all-in-one tool for smarter and faster project execution.Why Edge Computing Matters in Mobile Application Tech.pdf
Why Edge Computing Matters in Mobile Application Tech.pdfIMG Global Infotech
?
This PDF explores the critical role of edge computing in modern mobile application technology. Learn how edge enhances app speed, reduces latency, improves data privacy, and supports real-time performance. Ideal for developers, tech strategists, and mobile innovators looking to stay ahead in the evolving mobile ecosystem.Ad
2023 COSCUP - Whats new in PostgreSQL 16
- 3. ? ?
- 4. Agenda 01. m寄ﾄh廠議娼M 02. Monitoring 03. Client applications 04. Server 極砿尖cS\ 05. Localization 06. 芦畠來 07. SQL functions and commands 08. Performance 09. Logical replication 10. 弌Y
- 7. ? ?
- 8. ? ?
- 10. ?
- 11. ?
- 12. ? ? ? ? ?
- 13. ? ? ? Internationalization and Unicode Conference (IUC)
- 14. ? ? ?
- 15. ? ? ? ? ?
- 16. ?
- 17. ? ?
- 18. ? ? ?
- 19. ?
- 20. ?
- 21. ? ? more
- 22. ? ? DBMS of the Year 2022