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Best Practices for Designing Resilient APIs for Scalability and Reliability

DZone

Over the last 15+ years, Ive worked on designing APIs that are not only functional but also resilient able to adapt to unexpected failures and maintain performance under pressure. In this article, Ill share practical strategies for designing APIs that scale, handle errors effectively, and remain secure over time.

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Dynatrace KSPM: Transforming Kubernetes security and compliance

Dynatrace

Non-compliance and misconfigurations thrive in scalable clusters without continuous reporting. Processes are time-intensive. Slow processes introduce risk. The time has come to move beyond outdated practices and adopt solutions designed for the realities of Kubernetes environments. The skills gap creates inefficiencies.

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Designing Instagram

High Scalability

Design a photo-sharing platform similar to Instagram where users can upload their photos and share it with their followers. High Level Design. Component Design. There are two major processes which gets executed when a user posts a photo on Instagram. API Design. Problem Statement. Architecture.

Design 334
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New integrations announced at AWS re:Invent enhance cloud performance, security, and automation

Dynatrace

This year’s AWS re:Invent will showcase a suite of new AWS and Dynatrace integrations designed to enhance cloud performance, security, and automation. This integration simplifies the process of embedding Dynatrace full-stack observability directly into custom Amazon Machine Images (AMIs).

AWS 298
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API Design Principles for Optimal Performance and Scalability

DZone

The goal is to help developers, technical managers, and business owners understand the importance of API performance optimization and how they can improve the speed, scalability, and reliability of their APIs. API performance optimization is the process of improving the speed, scalability, and reliability of APIs.

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Dynatrace elevates data security with separated storage and unique encryption keys for each tenant

Dynatrace

Protect data in multi-tenant architectures To bring you the most value by unifying observability and security in one analytics and automation platform powered by AI, Dynatrace SaaS leverages a multitenancy architecture, enabling efficient and scalable data ingestion, querying, and processing on shared infrastructure.

Storage 246
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. RabbitMQ follows a message broker model with advanced routing, while Kafkas event streaming architecture uses partitioned logs for distributed processing. What is RabbitMQ?

Latency 147