This article describes how to use SLS SPL (Structured Programming Language) to configure the SLS Connector to structure data.
This article introduces how to use the aggregator_context plug-in to maintain the context of logs and how to query the context in the console.
This article investigates the application scenarios and architectures of Kubernetes operators in various log collectors.
This article introduces how to configure Logtail using Simple Log Service to collect logs from an ACK cluster in both DaemonSet and Sidecar modes.
This article analyzes the challenges in managing sidecar containers for data collection and provides solutions using the management capabilities offered by OpenKruise.
This article describes three methods for using project policies to control the data source reported by iLogtail.
This article aims to analyze and evaluate the selection of technical architectures in a data-intensive application model.
This article describes the author's unedrstanding on RocketMQ Commit Log Storage Protocol.
The article introduces Flame Graph, a visual program performance analysis tool, its basic concept, types, and applications in continuous profiling.
This article mainly introduces the source code analysis of the flame graph part and the model definition part in Pyroscope v0.35.1.
This article describes how to ship logs from Log Service to a SIEM system over Syslog.
This article describes how to systematically troubleshoot the machine group heartbeat issue in the host scenario.
This article discusses code cleanliness in terms of coding, refactoring, and design patterns, and provides insights on how to become a thoughtful programmer.
This article discusses the technical principles of some common design patterns from a practical perspective based on the iLogtail project.
This article analyzes Velox's serialization and deserialization process from a source code perspective.
Velox is an open-source, high-performance C++ computing engine of Meta. This article focuses on how Velox expressions are computed.
Part 2 of this 5-part series discusses how to use ACK Fluid to enable elastic computing instances in the public cloud to access on-premises storage systems.
Part 3 of this 5-part series focuses on accelerating access to third-party storage, achieving better performance, lower costs, and reducing dependence on the stability of the leased line.
Part 5 of this 5-part series describes how to use the scheduled warm-up mechanism of ACK Fluid to update data accessible to compute clusters in different regions.
Part 4 of this 5-part series focuses on using ACK Fluid to implement Kubernetes-based mounting of third-party storage host directories.
