PinCompute: Pinterest’s Kubernetes-Backed Platform for Versatile Computing Needs
Overview Pinterest is enhancing its compute platform with PinCompute, a fully managed compute API designed for various use cases. Built on Kubernetes, PinCompute simplifies infrastructure management and embraces cloud-native principles. This article explores its architecture and impact on innovation and efficiency at Pinterest. Architecture PinCompute is a regional Platform-as-a-Service (PaaS) on Kubernetes, with a host…
Konika SitoulaRailyard: Accelerating Machine Learning Model Training Using Kubernetes
Stripe leverages machine learning in services like Radar and Billing, handling millions of daily predictions across diverse models trained with billions of data points. To simplify model training, they developed Railyard, an API and job manager on Kubernetes, enabling independent team training with scalability. Railyard’s API prioritizes flexibility and ease of use, supporting Python workflows…
Does containerization affect the performance of databases?
The trend of containerizing databases is growing, as seen in Fig.1. With databases and analytics playing a significant role in technology, a common question arises: Does containerization affect database performance? If so, what factors are involved, and how can we address performance and stability challenges caused by containerization? Advantages and technical principles of containerization Containerization…
Rubix: Palantir’s Move to Kubernetes
In January 2017, Palantir commenced the Rubix project, aimed at rebuilding the cloud architecture around Kubernetes. With the majority of cloud instances dedicated to computation, the core objective was to establish a secure, scalable, and intelligent scheduling and execution engine for Spark and other distributed compute frameworks. Rubix has now been successfully rolled out to…
Airbnb’s Dynamic Kubernetes Cluster Scaling Journey
Introduction At Airbnb, it’s crucial to adjust cloud spending according to demand. Their traffic varies daily, so they need their cloud resources to scale up and down as needed. To achieve this, they use Kubernetes, a system for managing containers, along with OneTouch, a tool for configuring services. In this post, we’ll discuss how they…
Troubleshooting Kubernetes Secrets and Identifying Reasons for Pod Startup Failure
Amazon Web Services (AWS) provides a tool called AWS Secrets Manager that makes it easier to securely store and manage sensitive data, such as database credentials and API keys, that are utilized in modern applications. By allowing developers to consolidate storage and automate rotation operations, it simplifies the handling of sensitive data. Many people could…
Scaling Kubernetes to 7,500 nodes
Scaling a Kubernetes cluster to this magnitude(7500 nodes) is a rare feat that demands careful consideration, but it offers the benefit of a simple infrastructure, empowering OpenAI’s machine learning teams to scale rapidly without altering their code. Following OpenAI’s previous update on scaling to 2,500 nodes, OpenAI has further developed its infrastructure, imparting valuable lessons…
Connecting Kernel Panics to Kubernetes Pods: Keeping Track of Lost Nodes at Netflix
With a dedicated effort to enhance user experience on the Titus container platform, Netflix delved into the issue of “orphaned” pods – those left incomplete without a clear final status. Although this may not be a concern for Service job owners, it holds significant importance for Batch users. This blog post provides insights into our…
A “Krispr” Approach to Kubernetes Infrastructure: Keeping Pods Fresh and Rolling Out Updates Smoothly
Introduction In the demanding world of modern service-oriented architectures, maintaining fresh and up-to-date infrastructure is crucial for optimal performance and security. Airbnb, with its hundreds of services relying on Kubernetes, faced challenges in efficiently updating shared infrastructure components within their platform. Their existing approach, heavily dependent on service owner upgrades, led to version fragmentation, complexity,…
Scaling Kubernetes to 2,500 Nodes for Deep Learning at OpenAI
OpenAI, a pioneer in artificial intelligence, pushes the boundaries of Kubernetes by scaling it to manage massive deep learning workloads. While managing bare VMs remains an option for the largest tasks, Kubernetes shines for its rapid iteration cycles, reasonable scalability, and reduced development overhead. This blog dives into OpenAI’s journey building a 2,500-node Kubernetes cluster…