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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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Design a photo-sharing platform similar to Instagram where users can upload their photos and share it with their followers. High Level Design. from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. Component Design.
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Dynatrace has announced that it has successfully achieved the Google Cloud Ready – Cloud SQL designation for Cloud SQL, Google Cloud’s fully-managed, relational database service for MySQL, PostgreSQL, and SQL Server. This designation can also save time in evaluating Dynatrace solutions for organizations that are not already using them.
How To Design For High-Traffic Events And Prevent Your Website From Crashing How To Design For High-Traffic Events And Prevent Your Website From Crashing Saad Khan 2025-01-07T14:00:00+00:00 2025-01-07T22:04:48+00:00 This article is sponsored by Cloudways Product launches and sales typically attract large volumes of traffic.
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By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction.
In fact, observability is essential for shaping how we design smarter, more resilient systems for the future. OpenTelemetry is enhancing GenAI observability : By defining semantic conventions for GenAI and implementing Python-based instrumentation for OpenAI, OpenTel is moving towards addressing GenAI monitoring and performance tuning needs.
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In both bands, performance characteristics remain consistent for the entire uptime of the JVM on the node, i.e. nodes never jumped the bands. Luckily, the m5.12xl instance type exposes a set of core PMCs (Performance Monitoring Counters, a.k.a. This was our starting point for troubleshooting.
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This article takes a plunge into the comparative analysis of these two cult technologies, highlights the critical performance metrics concerning scalability considerations, and, through real-world use cases, gives you the clarity to confidently make an informed decision.
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Built and maintained by Oracle, it provides an all-in-one solution for database modeling, query execution, user administration, and performance monitoring. Its designed primarily for Windows users, but many developers use it on other platforms via Wine. Its a solid choice if you want a full-featured MySQL development environment.
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But as with many other automation tools, it can be difficult to maintain the performance and visibility of these workflows. Everyone involved in the software delivery lifecycle can work together more effectively with a single source of truth and a shared understanding of pipeline performance and health.
The Apollo router is a powerful routing solution designed to replace the GraphQL Gateway. Built using Rust, it offers a high degree of flexibility, loose coupling, and exceptional performance. With this integrated telemetry functionality, the Apollo router provides a streamlined and efficient performance monitoring solution.
We believe this recognition underscores our dedication to empowering organizations to achieve outstanding digital performance. Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation.
Navigating these regulations while maintaining high performance and security standards is challenging. They offer a comprehensive end-to-end solution to these challenges, providing functionalities designed to enhance compliance and resilience in IT environments.
RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. This article outlines the key differences in architecture, performance, and use cases to help determine the best fit for your workload.
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To better guide the design and budgeting of future campaigns, we are developing an Incremental Return on Investment model. Ideally, we would have causal estimates from an A/B test to use for validation, but since that is not available, we use another causal inference design as one of our ensemble of validation approaches.
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