The document outlines a setup using Helm for deploying an Elasticsearch stack including Elasticsearch, Fluent Bit, and Kibana in a Kubernetes environment. It details installation commands, configuration settings, and provides information on checking the status of the deployments and using the logging service. Additionally, brief logging messages from a test pod are included at the end.
1. The document discusses various AWS services that can be used to build serverless applications including AWS Lambda, Amazon API Gateway, Amazon DynamoDB, Amazon S3, and Amazon Cognito.
2. It provides examples of how serverless applications can be built to handle web and mobile backends through code snippets and diagrams showing how different AWS services integrate together.
3. The document also references GitHub repositories containing sample code for building serverless applications using various frameworks and best practices.
This document summarizes a presentation on Multi Version Concurrency Control (MVCC) in PostgreSQL. It begins with definitions and history of MVCC, describing how it allows transactions to read and write without blocking each other. It then discusses two approaches to MVCC - storing old versions in the main database (PostgreSQL) vs a separate area (Oracle). The rest of the document does a deep dive on how MVCC is implemented in PostgreSQL specifically, showing how tuple headers track transaction IDs and pointers to maintain multiple versions of rows.
1. The document discusses various AWS services that can be used to build serverless applications including AWS Lambda, Amazon API Gateway, Amazon DynamoDB, Amazon S3, and Amazon Cognito.
2. It provides examples of how serverless applications can be built to handle web and mobile backends through code snippets and diagrams showing how different AWS services integrate together.
3. The document also references GitHub repositories containing sample code for building serverless applications using various frameworks and best practices.
This document summarizes a presentation on Multi Version Concurrency Control (MVCC) in PostgreSQL. It begins with definitions and history of MVCC, describing how it allows transactions to read and write without blocking each other. It then discusses two approaches to MVCC - storing old versions in the main database (PostgreSQL) vs a separate area (Oracle). The rest of the document does a deep dive on how MVCC is implemented in PostgreSQL specifically, showing how tuple headers track transaction IDs and pointers to maintain multiple versions of rows.
5. https://github.com/JM-Lab/jm-spring-boot-init
Planet Mon ?? (?? ???? ???)
?? collectd - ELK (Elasticsearch-Logstash-Kibana)
?? Log Collector
?? System
Monitoring
Data Broker
?? System
Monitoring
Data Collector
?? Distributed,
scalable, and
highly available
?? Real-time search
and analytics
capabilities
?? Sophisticated
RESTful API
?? Flexible analytics
and visualization
platform
?? Real-time charting
of streaming data
?? Instant sharing and
embedding of dash
boards
6. https://github.com/JM-Lab/jm-spring-boot-init
Planet Mon ?? (?? ???? ???)
?? collectd - ELK (Elasticsearch-Logstash-Kibana)
?? Web, WAS
log ??
?? System
Monitoring
Data Collector
?? Distributed,
scalable, and
highly available
?? Real-time search
and analytics
capabilities
?? Sophisticated
RESTful API
?? Flexible analytics
and visualization
platform
?? Real-time charting
of streaming data
?? Instant sharing and
embedding of dash
boards
7. https://github.com/JM-Lab/jm-spring-boot-init
Planet Mon ?? (?? ???? ???)
?? collectd - ELK (Elasticsearch-Logstash-Kibana)
?? System
Monitoring
Data Collector
?? ??, ??,
???? ??
?? ??? ???
?? ??
?? RESTful API
QueryDSL
?? Flexible analytics
and visualization
platform
?? Real-time charting
of streaming data
?? Instant sharing and
embedding of dash
boards
?? Web, WAS
log ??
20. https://github.com/JM-Lab/jm-spring-boot-init
Spring Boot? ??? Backend ?? ??
Http endpoints (Rest API), JMX, remote shell ?? ????
???? ??(??? ????)?? ???? ??? ??.
Spring Boot Actuator
Part V. Spring Boot Actuator: Production-ready features
Spring Boot includes a number of additional features to
help you monitor and manage your application when it¨s
pushed to production. You can choose to manage and m
onitor your application using HTTP endpoints, with JMX
or even by remote shell (SSH or Telnet). Auditing, health
and metrics gathering can be automatically applied to yo
ur application.
http://docs.spring.io/spring-boot/docs/current/reference/htmlsingle/#production-ready