In this article, you'll look at Kafka's architecture and how it supports high availability with replicated partitions. Then, you will design a Kafka cluster to achieve high availability using standard Kubernetes resources and see how it tolerates node maintenance and total node failure.
This checklist provides actionable best practices for deploying secure, scalable, and resilient services on Kubernetes.
Kubernetes doesn't load balance long-lived connections, and some Pods might receive more requests than others. If you're using HTTP/2, gRPC, RSockets, AMQP or any other long-lived connection such as a database connection, you might want to consider client-side load balancing.
In Kubernetes resource constraints are used to schedule the Pod in the right node, and it also affects which Pod is killed or starved at times of high load. In this blog, you will explore setting resource limits for a Flask web service automatically using the Vertical Pod Autoscaler and the metrics server.
here's a diagram to help you debug your deployments in Kubernetes
In this article, you will learn how packets flow inside and outside a Kubernetes cluster. Starting from the initial web request and down to the container hosting the application.
随着应用的能力更新迭代，应用安装包体积将逐步增大，用户下载应用消耗流量产生资费进一步增长，用户下载意愿会相对下降；另一方面，随着包体积增大，安装应用的时间会相对变长，影响用户使用感受；对于ROM较小的低端手机，应用解压后内存占用更大，部分手机管家会提示内存不足提示卸载，直接影响用户使用。
字节跳动内部已经将ClickHouse广泛应用，并在原引擎基础上重构了技术架构，本系列文章将从Upsert、多表关联查询、可用性提升等多方面介绍字节跳动基于ClickHouse的能力增强实践。
快速有效的AB实验是策略方案最优化、用户体验的强有力保证，而背后的黑科技来源于基础的统计理论。因此，要想更好地设计实验和解读实验结果，就需要理解基础的统计学知识和AB实验所涉及的统计学理论，以此更科学有效的做出决策。
代码生成，即希望机器能像人一样将一些自然逻辑，用形式化的方式，或者说代码表达出来，这样的能力非常令人振奋，同样也充满了困难。目前尽管深度学习非常强大，但即使是百亿级的 Transformer，仍然在这个任务上做的不尽人意。而本文提出的模型，第一次真正在工业开发场景中，帮助用户快速生成高效的代码。
