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Cloud Load Balancing- Facilitating Performance & Efficiency of Cloud Resources

RapidValue

Cloud load balancing is the process of distributing workloads and computing resources within a cloud environment. This process is adopted by organizations and enterprises to manage workload demands by providing resources to multiple systems or servers. Its advantages over conventional load balancing of on?premises

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Load Balancer Service Degradation, March 25, 2021

Netlify

On March 25, 2021, between 14:39 UTC and 18:46 UTC we had a significant outage that caused around 5% of our global traffic to stop being served from one of several load balancers and disrupted service for a portion of our customers. At 18:46 UTC we restored all traffic remaining on the Google load balancer. What happened.

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One Year of Load Balancing

Algolia

From the beginning at Algolia, we decided not to place any load balancing infrastructure between our users and our search API servers. We made this choice to keep things simple, to remove any potential single point of failure and to avoid the costs of monitoring and maintaining such a system. In the end, this system was simple.

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Node Management in Cassandra: Ensuring Scalability and Resilience

Datavail

Cassandra is a highly scalable and distributed NoSQL database that is known for its ability to handle large volumes of data across multiple commodity servers. As an administrator or developer working with Cassandra, understanding node management is crucial for ensuring the performance, scalability, and resilience of your database cluster.

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AI-Driven API and Microservice Architecture Design for Cloud

Dzone - DevOps

Dynamic load balancing : AI algorithms can dynamically balance incoming requests across multiple microservices based on real-time traffic patterns, optimizing performance and reliability.

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Cluster Management in Cassandra: Achieving Scalability and High Availability

Datavail

Apache Cassandra is a highly scalable and distributed NoSQL database management system designed to handle massive amounts of data across multiple commodity servers. Start the Cassandra service on the new node: Monitor the system logs to ensure the new node successfully joins the cluster.

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Implementing NATS JetStream as Queues in Golang

Dzone - DevOps

In recent years, the increasing demand for efficient and scalable distributed systems has driven the development and adoption of various message queuing solutions. These solutions enable the decoupling of components within distributed architectures, ensuring fault tolerance and load balancing.