Prometheus

Website

prometheus.io

$ Details

Categories

#Monitoring Tools #Performance Monitoring #Log Management #Application Performance Monitoring

MyBATIS

Website

mybatis.org

$ Details

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Categories

#Development #Tool #Web Frameworks #MySQL Tools

Prometheus features and specs

• Powerful Query Language
  Prometheus uses PromQL, a flexible and powerful query language that allows for complex and detailed queries.
• Dimensional Data Model
  Prometheus employs a multidimensional data model with time series data identified by metric name and key-value pairs, offering great flexibility in data organization.
• Auto-Discovery
  It supports service discovery mechanisms to automatically locate and scrape metrics from jobs, simplifying the monitoring process.
• Alerting
  Prometheus includes built-in alerting capabilities that allow you to trigger alerts based on PromQL queries, which can be integrated with different alert management systems.
• Scalability
  Its architecture, which uses independent single servers, scales well, allowing you to handle a large number of time series efficiently.
• Open Source
  Prometheus is open-source and supported by a large community, offering transparency, regular updates, and numerous integrations.
• Easy Integration
  Thanks to its compatibility with various data exporting standards and a myriad of existing exporters, integrating Prometheus into existing systems is streamlined.

Possible disadvantages of Prometheus

• Single Points of Failure
  Prometheus instances operate independently, meaning that if a server goes down, the metrics it monitored will be unavailable unless replicated manually.
• Storage Overhead
  Prometheus can consume significant storage, especially for high-resolution time series data, which might necessitate careful planning and management.
• Limited Long-Term Storage
  By default, Prometheus is not designed for long-term storage of metrics and may require integration with other systems like Thanos or Cortex for this purpose.
• Complexity for Beginners
  The sheer number of features and the complexities associated with PromQL can present a steep learning curve for newcomers.
• Scaling Write Operations
  In high-scale environments, write operations might become a bottleneck due to the single-server nature of the Prometheus architecture.
• Lack of Native High Availability
  While Prometheus supports running multiple instances, it does not provide built-in high availability features out-of-the-box, necessitating additional configurations.
• No Built-in Authentication and Authorization
  Prometheus lacks native support for secure authentication and authorization, which means these features must be externally managed.

MyBATIS features and specs

• Simplicity
  MyBatis is easier to use compared to other ORM tools because it provides a simple and direct approach to database interaction using XML or annotations, making it accessible for developers familiar with SQL.
• Flexibility in SQL
  It allows for complete control over SQL queries, enabling developers to write complex queries and use full SQL syntax without constraints, unlike automated ORM solutions.
• Performance
  Since developers have direct control over SQL statements, the performance can be optimized for specific use cases, potentially reducing the overhead that automated ORM solutions might introduce.
• Mapping
  Offers robust and customizable mapping capabilities between database tables and Java classes, helping in clearly defining how data should be transformed between the system and the data layer.
• Lazy Loading
  Supports lazy loading of related objects, which can improve performance by delaying the fetching of data until it is specifically needed.

Possible disadvantages of MyBATIS

• Manual SQL Management
  The need to manually write and maintain SQL can be cumbersome and error-prone, especially for complex applications with large numbers of queries.
• Lack of Automated Associations
  MyBatis does not inherently manage relationships between entities like some other ORM tools, which requires developers to handle association mappings themselves.
• Limited Abstraction
  Compared to full ORM frameworks, MyBatis offers less abstraction over the database layer, which means developers must handle more of the database logic manually.
• Learning Curve for XML
  While not steep, there is a learning curve involved in configuring MyBatis using XML for those who are more accustomed to purely annotation-driven configuration or other ORM tools.
• Reduced Portability
  Because SQL is database-specific, MyBatis applications might become less portable across different database platforms when relying extensively on custom SQL.

How Prometheus Monitoring works | Prometheus Architecture explained

Screencast #18: Introduction to mybatis

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