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Why is my SaaS application so slow?

Kentik

Some users simply can’t operate in their job when an application becomes unavailable. That’s why keeping a proverbial finger on the pulse of application performance is generally worth the effort. Many popular SaaS applications are delivered from hundreds of locations around the world. Check with the SaaS application.

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A RoCE network for distributed AI training at scale

Engineering at Meta

Topology We built a dedicated backend network specifically for distributed training. To support large language models (LLMs), we expanded the backend network towards the DC-scale, e.g., incorporating topology-awareness into the training job scheduler. We designed a two-stage Clos topology for AI racks, known as an AI Zone.

Network 132
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Building Meta’s GenAI Infrastructure

Engineering at Meta

It played and continues to play an important role in the development of Llama and Llama 2 , as well as advanced AI models for applications ranging from computer vision, NLP, and speech recognition, to image generation , and even coding. Under the hood Our newer AI clusters build upon the successes and lessons learned from RSC.

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Spring for Apache Kafka Deep Dive – Part 3: Apache Kafka and Spring Cloud Data Flow

Confluent

As a continuation from the previous blog series, this blog post explains how Spring Cloud Data Flow helps you gain developer productivity and manage Apache-Kafka-based event streaming application development. It provides support for centrally managing event streaming application development right from design to deployment in production.

Cloud 95
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Today’s Enterprise WAN Isn’t What It Used To Be

Kentik

How it used to be When I started my career in networking, servers were down the hall or in the campus data center. Yes, there’s something to say about how applications are written, but on the public internet side, we’ve seen a decrease in latency, cost, and a massive increase in available bandwidth. I know there are always exceptions.

WAN 98
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KSQL Training for Hands-On Learning

Confluent

Reading, writing, and transforming data in Apache Kafka ® using KSQL is an effective way to rapidly deliver event streaming applications for clients (e.g., Through this hands-on course, you will build an entire taxi-booking application using KSQL and Apache Kafka. streaming insurance events ).

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Spring for Apache Kafka Deep Dive – Part 2: Apache Kafka and Spring Cloud Stream

Confluent

On the heels of part one in this blog series, Spring for Apache Kafka – Part 1: Error Handling, Message Conversion and Transaction Support , here in part two we’ll focus on another project that enhances the developer experience when building streaming applications on Kafka: Spring Cloud Stream.

Cloud 111