Remove Load Balancer Remove Metrics Remove Scalability Remove Serverless
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Optimizing Medication Management: How AWS ETL Transforms Healthcare Data for a Leading PBM

Perficient

Scalability Demands As the volume of data grows, the systems have to handle & manage the data without compromising on performance. S3 provides availability, security, and scalability, all of which come at a significantly low cost. Scalability AWS provides EC2 instances that can be scaled up or down.

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Cloudera DataFlow Designer: The Key to Agile Data Pipeline Development

Cloudera

When a draft is ready to be deployed in production, it is published to the Catalog, and can be productionalized with serverless DataFlow Functions for event-driven, micro-bursty use cases or auto-scaling DataFlow Deployments for low latency, high throughput use cases.

Agile 81
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Maximizing Cloud Cost Efficiency: 5 Essential Strategies for Cloud FinOps

Perficient

It offers unparalleled scalability, flexibility, and cost-effectiveness. Elastic Load Balancing: Implementing Elastic Load Balancing services in your cloud architecture ensures that incoming traffic is distributed efficiently across multiple instances. Docker) allows for better resource utilization.

Cloud 52
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AWS Cost Optimization: 5 Best Practices for Your Business

Modus Create

Organizations across industries use AWS to build secure and scalable digital environments. . AWS provides a few native tools that can help you gather cost data and system metrics to identify cost-related inefficiencies in your setup: AWS Cost Explorer. Then, you can delete these load balancers to reduce costs.

AWS 52
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The Good and the Bad of the Elasticsearch Search and Analytics Engine

Altexsoft

Analysis of logs, metrics, and security events. With Elasticsearch, you can aggregate and analyze large streams of logs, metrics, and security events in near real-time, making it indispensable for system monitoring and security information and event management (SIEM). Having replica shards ensures your data is not lost if a node fails.

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Journey to Event Driven – Part 2: Programming Models for the Event-Driven Architecture

Confluent

Systems built as Reactive Systems are more flexible, loosely-coupled and scalable. It is very simple but presents scalability challenges. In the event-driven world, we’d build a scalable model where the event streams flow between processors. Instrumentation plane tracking application-wide metrics.

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The Rise of Managed Services for Apache Kafka

Confluent

A distributed streaming platform combines reliable and scalable messaging, storage, and processing capabilities into a single, unified platform that unlocks use cases other technologies individually can’t. Serverless computing model. In other words, Confluent Cloud is a truly serverless service for Apache Kafka.