【Architectural Pattern】Overall

From Mud to Structure (High level decompositions)

Layers
Pipes and Filters
Blackboard

Distributed Systems

Broker

Interactive Systems

MVC (Model-view-controller)
Presentation-Abstraction-Control

Adaptable Systems

Microkernel
Reflection

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Posted by Wei on 2024-10-01, Last Modified on 2024-10-01

【Distributed System】Observability

Observability

In software engineering, more specifically in distributed computing, observability is the ability to collect data about programs’ execution, modules’ internal states, and the communication among components. To improve observability, software engineers use a wide range of logging and tracing techniques to gather telemetry information, and tools to analyze and use it. Observability is foundational to site reliability engineering, as it is the first step in triaging a service outage. One of the goals of observability is to minimize the amount of prior knowledge needed to debug an issue.

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Posted by Wei on 2024-10-01, Last Modified on 2024-09-30

【Database】Overview

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Posted by Wei on 2024-10-01, Last Modified on 2024-10-01

【ClickHouse】学习

Install

Ubuntu

# install
sudo apt install clickhouse-server clickhouse-client

sudo service clickhouse-server start
sudo service clickhouse-server status

# connect
# 1. Download the binary
curl https://clickhouse.com/ | sh

# 3. Start the client
# Use the clickhouse-client to connect to your ClickHouse service. Open a new Terminal, change directories to where your clickhouse binary is saved, and run the following command:
./clickhouse client --host 192.168.18.247
# You should see a smiling face as it connects to your service running on localhost:
my-host :)

What Is ClickHouse?

ClickHouse® is a high-performance, column-oriented SQL database management system (DBMS) for online analytical processing (OLAP).

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Posted by Wei on 2024-09-23, Last Modified on 2024-09-27

【InfluxDB】学习

InfluxDB

InfluxDB 2.7 is the platform purpose-built to collect, store, process and visualize time series data. Time series data is a sequence of data points indexed in time order. Data points typically consist of successive measurements made from the same source and are used to track changes over time. Examples of time series data include:

Industrial sensor data
Server performance metrics
Heartbeats per minute
Electrical activity in the brain
Rainfall measurements
Stock prices

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