📄️ continuousanalysis
Continuous profiling is an advanced performance monitoring technology that enables performance insight into the entire lifecycle of an application through long-term, low-intrusive multi-dimensional data collection. Its core functions include:
📄️ hotspotmethod
In the field of application performance monitoring and optimization, Hotspot Methods are not independent tools, but refer to "core functions/interfaces that are frequently called, consume large amounts of system resources (CPU/memory/IO), or take too long to execute". Their core "function" lies in serving as a key entry point for performance analysis — by identifying, locating, and optimizing hotspot methods, system performance bottlenecks can be efficiently resolved, resource consumption reduced, and business stability ensured.
📄️ ebpfprofiling
eBPF (extended Berkeley Packet Filter) is a virtual machine technology that enables packet filtering and system event observation by running sandboxed programs within the kernel—no need to modify kernel source code or load additional modules. It can directly capture details that are difficult for traditional tools to access, such as kernel scheduler behavior, system call latency, container network traffic, and process memory allocation. Fundamentally, it solves the problem of "invisibility in the interaction process between applications and the kernel".
📄️ threadprofiling
In the field of thread management and performance diagnosis, Thread Profiling is a specialized analytical technology for an application’s thread running status, scheduling behavior, and resource consumption. Its core functions focus on "resolving thread-level performance issues and ensuring the stability of multi-threaded programs", with specific capabilities including: full-dimensional monitoring of thread running status, accurate statistics of thread resource consumption, tracking of thread scheduling and interaction behavior, and assistance in visualization and problem localization.
📄️ memorydump
In the field of memory diagnosis and fault troubleshooting, Memory Dump refers to a technology that "completely captures and stores the memory data (including variables, objects, function call stacks, register states, etc.) of an application or operating system at a specific moment into a file". Its core functions focus on "freezing memory snapshots, preserving fault scenes, and supporting in-depth root cause analysis", with specific capabilities including: completely retaining memory scenes to enable "fault reproduction"; supporting offline in-depth analysis to locate hidden memory issues; and correlating multi-dimensional data to restore the fault cause-effect chain.
📄️ invocationanalysis
In the field of application performance monitoring and fault troubleshooting, Invocation Analysis is a specialized analytical technology for "invocation behaviors between functions, interfaces, and services". Its core functions focus on "disassembling invocation chains, locating invocation bottlenecks, and restoring invocation context", covering full-dimensional analysis from "single-function invocations" to "cross-service full-link invocations". Specific capabilities include: full-link tracing of invocation behaviors; accurate localization of invocation performance bottlenecks, etc.
📄️ erroranalysis
In the fields of software quality assurance and fault troubleshooting, Error Analysis is a specialized diagnostic technology for "exceptions, errors, and crashes occurring during application operation". Its core functions focus on "quick error capture, error scene restoration, root cause location, and recurrence prevention", covering the entire process from "error discovery" to "problem resolution". Specific functions include: error capture and classification; complete restoration of error scenes; error trend monitoring, etc.
📄️ impactanalysis
In the fields of IT system operation and maintenance, change management, and fault governance, Impact Analysis is a specialized analytical technology that evaluates the potential scope and extent of impact of events such as "system changes, fault occurrences, and resource fluctuations" on "business functions, user experience, and associated systems". Its core functions focus on "early risk prediction, accurate identification of impact boundaries, and assistance in decision-making priorities", including specific capabilities such as: visual organization of impact scope; quantitative assessment of impact severity; and tracking of fault propagation paths.
📄️ dependencyanalysis
In the fields of software architecture governance, system operation and maintenance, and change management, Dependency Analysis is a specialized analytical technology for the "dependency relationships between components, services, interfaces, and resources within a system". Its core functions focus on "sorting out dependency relationships, identifying dependency risks, and optimizing dependency structures", covering the entire process from "dependency visualization" to "risk early warning", including the following specific aspects: automatic sorting of full-dimensional dependency relationships; dependency topology visualization and structural analysis; dependency risk identification and early warning, etc.
📄️ trace
In the performance monitoring and fault troubleshooting of distributed systems, microservice architectures, and complex monolithic applications, Call Chains (also known as Trace Chains) are core technologies that connect all execution nodes of a user request throughout its entire lifecycle. By recording the complete call path, execution status, and latency of a request from "entry to exit", they solve the "call black box problem" in distributed environments. The core value of call chains lies in "breaking the information silos of call paths and enabling full-process observability", with specific roles summarized into 4 categories: