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Journey to Adopt Cloud-Native Architecture Series: #3 – Improved Resilience and Standardized Observability

AWS Disaster Recovery

In this blog, we talk about architecture patterns to improve system resiliency, why observability matters, and how to build a holistic observability solution. As a refresher from previous blogs, our example ecommerce company’s “Shoppers” application runs in the cloud. The monolith application is tightly coupled with the database.

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Optimizing Performance and Cost Savings for Elastic on Pure Storage

Pure Storage

Optimizing Performance and Cost Savings for Elastic on Pure Storage by Pure Storage Blog This article originally appeared on InsideBigData.com. As applications scale and the demands on infrastructure increase, often operational challenges arise in maintaining the overall system.

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An AI Data Platform for All Seasons

Pure Storage

In the past, it was sufficient to bring order to the randomness of enterprise data collection through applications of technology resources (databases and storage devices) that were aimed primarily at organizing, storing, indexing, and managing enterprise information assets for single purposes or single business units.

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Fargate vs. ECS

Pure Storage

ECS by Pure Storage Blog As more businesses adopt cloud-driven software development, containerization has become a popular approach to deploying and managing applications, thanks to its flexibility. In this article, we’ll dive into these tools, compare their features, and understand their ideal use cases. What Is ECS?

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Simplify Array Monitoring with New App for Splunk

Pure Storage

The Pure Storage Unified App allows you to visualize your Pure storage inventory, monitor capacity, and audit usage. Many organizations that use FlashArray and/or FlashBlade to host their critical applications also use Splunk for monitoring. Learn more about it in our knowledgebase article. Splunk Apps Use Case with Pure .

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Fargate vs. EC2

Pure Storage

Fargate vs. EC2: Performance and Scalability When choosing between Fargate and EC2 for your containerized applications, performance and scalability are crucial factors to consider. However, Fargate might not be ideal for applications requiring very specific hardware configurations (e.g., Fargate offers a managed service approach.

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Delivering Low-latency Analytics Products for Business Success

Pure Storage

Delivering Low-latency Analytics Products for Business Success by Pure Storage Blog This article on low-latency analytics initially appeared on Kirk Borne’s LinkedIn. On-prem data sources have the powerful advantage (for design, development, and deployment of enterprise analytics applications) of low-latency data delivery.