Understanding Real-Time Application Monitoring

Guaranteeing that our servers are continually upgraded to secure and vetted operating systems is one major step that we take to ensure our members and customers can access LinkedIn to look for new roles, access new learning programs, or exchange knowledge with other professionals. LinkedIn has quite a large fleet of servers on-premise that depend on internal tooling to ensure they stay on the latest operating systems. This post will introduce an internal tool that serves as an interface for managing servers' lifecycles at the LinkedIn scale. We will emphasize the rationale behind […]

Metal as a Service (MaaS): DIY server-management at scale

Co-Authors: Xianyun Mao, Stan Xu, Rachit Kumar, Vikas R, Xia Hong, and Divyakumar Menghani As a LinkedIn member, you can subscribe to LinkedIn Premium on a monthly or annual basis. For our customers, we offer the same option for our Talent Solutions and/or Sales Navigator products. For each, LinkedIn offers subscription renewal payments. These subscription renewal payments used to go through a rule-based routing engine to selected payment gateways, which often resulted in a less-than-optimal experience. In this blog, we will discuss how we replaced the existing rule-based approach […]

Improving the customer’s experience via ML-driven payment routing

Co-authors: Rohit Jamuar, Tianxin Zhou Introduction LinkedIn has a large set of physical servers geographically spread across several locations. Every application is hosted on a physical server and is distributed and managed across one of these hosts. With a reasonably sizable footprint of servers in data centers, LinkedIn is responsible for ensuring that these hosts are always on an operating system (OS) version deemed the “latest and greatest” for all intents and purposes. The Production Systems Software Engineering (PSSE) organization within LinkedIn has taken the responsibility  […]

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