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A Comprehensive Guide to AEM Instances: Types, Uses, and Management – Part 2

Perficient

Dispatcher In AEM the Dispatcher is a caching and load balancing tool that sits in front of the Publish Instance. It includes a wide range of file types such as HTML pages, images, CSS files, JavaScript, and other assets, making it a versatile tool for improving website performance. Troubleshoot issues related to load balancing.

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AI-Driven API and Microservice Architecture Design for Cloud

Dzone - DevOps

Here are some key aspects where AI can drive improvements in architecture design: Intelligent planning : AI can assist in designing the architecture by analyzing requirements, performance metrics, and best practices to recommend optimal structures for APIs and microservices.

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A Comprehensive Guide to AEM Instances: Types, Uses, and Management – Part 1

Perficient

AEM structure includes instances that vary from environment to environment like Author Instance, Publish Instance, Dispatcher, and Load Balancer. We can manage the Production stage content using Production Author, Production Publish instance, Dispatcher, and Load balancer. It is used to create and deploy websites.

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Why Use Kong API Gateway

Dzone - DevOps

The Kong API Gateway is highly performant and offers the following features: Request/Response Transformation : Kong can transform incoming and outgoing API requests and responses to conform to specific formats. Monitoring and Logging : Kong offers detailed metrics and logs to help monitor API performance and identify issues.

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Optimizing Medication Management: How AWS ETL Transforms Healthcare Data for a Leading PBM

Perficient

Data Analyses To get insights from such vast and diverse data sets, an appropriate analytical tool is essential. Scalability Demands As the volume of data grows, the systems have to handle & manage the data without compromising on performance. PySpark helps in performing fast distributed transformations on large data sets.

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The Ultimate Guide to a FireMon Technical Evaluation

Firemon

Consider the following factors: Ease of integration with existing infrastructure (firewalls, firewall management stations, layer 3 devices, load balancers, proxies, clouds, etc.) Reporting and analytic capabilities, accuracy, and timing Policy enforcement and monitoring Scalability and performance User interface and usability Workflow optimization (..)

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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

In addition, you can also take advantage of the reliability of multiple cloud data centers as well as responsive and customizable load balancing that evolves with your changing demands. Analytics and Intelligence Capabilities. As such, there is no change in cloud performance even when the VMs are being migrated.