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A literature review and existing challenges on software logging practices: From the creation to the analysis of software logs
Software logging is the practice of recording different events and activities that occur within a
software system, which are useful for different activities such as failure prediction and …
software system, which are useful for different activities such as failure prediction and …
Loghub: A large collection of system log datasets for ai-driven log analytics
Logs have been widely adopted in software system development and maintenance because
of the rich runtime information they record. In recent years, the increase of software size and …
of the rich runtime information they record. In recent years, the increase of software size and …
{μSlope}: High Compression and Fast Search on {Semi-Structured} Logs
Internet-scale services can produce a large amount of logs. Such logs are increasingly
appearing in semi-structured formats such as JSON. At Uber, the amount of semi-structured …
appearing in semi-structured formats such as JSON. At Uber, the amount of semi-structured …
Logshrink: Effective log compression by leveraging commonality and variability of log data
Log data is a crucial resource for recording system events and states during system
execution. However, as systems grow in scale, log data generation has become increasingly …
execution. However, as systems grow in scale, log data generation has become increasingly …
Unlocking the Power of Numbers: Log Compression via Numeric Token Parsing
Parser-based log compressors have been widely explored in recent years because the
explosive growth of log volumes makes the compression performance of general-purpose …
explosive growth of log volumes makes the compression performance of general-purpose …
Partition, Don't Sort! Compression Boosters for Cloud Data Ingestion Pipelines
P Hansert, S Michel - Proceedings of the VLDB Endowment, 2024 - dl.acm.org
Data Lakes deployed in the cloud are a go-to solution for enterprise data storage. While the
pay-as-you-go cost model allows flexible resource allocation and billing, it mandates an …
pay-as-you-go cost model allows flexible resource allocation and billing, it mandates an …
Mint: Cost-Efficient Tracing with All Requests Collection via Commonality and Variability Analysis
Distributed traces contain valuable information but are often massive in volume, posing a
core challenge in tracing framework design: balancing the tradeoff between preserving …
core challenge in tracing framework design: balancing the tradeoff between preserving …
Exploiting Data-pattern-aware Vertical Partitioning to Achieve Fast and Low-cost Cloud Log Storage
Cloud logs can be categorized into on-line, off-line, and near-line logs based on the access
frequency. Among them, near-line logs are mainly used for debugging, which means they …
frequency. Among them, near-line logs are mainly used for debugging, which means they …
COPR--Efficient, large-scale log storage and retrieval
J Reichinger, T Krismayer, J Rellermeyer - arxiv preprint arxiv …, 2024 - arxiv.org
Modern, large scale monitoring systems have to process and store vast amounts of log data
in near real-time. At query time the systems have to find relevant logs based on the content …
in near real-time. At query time the systems have to find relevant logs based on the content …
ESTELLE: An Efficient and Cost-effective Cloud Log Engine
Y Zhang, G Cong, J Qu, R Xu, Y Fu, W Li, F Hu… - Companion of the 2024 …, 2024 - dl.acm.org
With the advancement of cloud computing, more and more enterprises are adopting cloud
services to build a variety of applications. Monitoring and observability are integral to the …
services to build a variety of applications. Monitoring and observability are integral to the …