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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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Why Use Kong API Gateway

Dzone - DevOps

Monitoring and Logging : Kong offers detailed metrics and logs to help monitor API performance and identify issues. Scalability : Kong is designed to scale horizontally, allowing it to handle large amounts of API traffic.

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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. Scalability AWS provides EC2 instances that can be scaled up or down.

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Streams Replication Manager Prefixless Replication

Cloudera

Replication is a crucial capability in distributed systems to address challenges related to fault tolerance, high availability, load balancing, scalability, data locality, network efficiency, and data durability. Use the /v2/topic-metrics/{source}/{target}/{upstreamTopic}/{metric} endpoint instead.

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Sponsored Post: Etleap, PerfOps, InMemory.Net, Triplebyte, Stream, Scalyr

High Scalability

For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. We found that High Scalability readers are about 80% more likely to be in the top bracket of engineering skill. Need excellent people? Advertise your job here!

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Cloudera DataFlow Designer: The Key to Agile Data Pipeline Development

Cloudera

For example, a developer may be asked to tap into the data of a newly acquired application, parsing and transforming it before delivering it to the business’s favorite analytical system where it can be joined with existing data sets. Key requirements for building data pipelines Every data pipeline starts with a business requirement.

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Closing the Network Performance Monitoring Gap and Achieving Full Network Visibility

Kentik

It’s now possible to get rich performance metrics from your key application and infrastructure servers, even components like HAProxy and NGINX load balancers. But you can’t do any of it without the instrumentation of cloud-friendly monitoring and the scalability of big data. routers and switches).

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