BestHub
Sign in
Tagged articles
42 articles
Page 1 of 1
Alibaba Cloud Observability
Alibaba Cloud Observability
Dec 15, 2025 · Cloud Native

How UModel PaaS API Simplifies Observability Queries with Unified Entity Search

This article explains how the UModel PaaS API abstracts complex observability concepts—such as EntitySet, DataSet, StorageLink, and Filter—into a unified, object‑oriented query interface, offering Table, Object, and metadata modes, code examples, UI and SDK usage, and AI‑agent integration for efficient, low‑maintenance monitoring.

AI AgentAPICloud Native
0 likes · 16 min read
How UModel PaaS API Simplifies Observability Queries with Unified Entity Search
Alibaba Cloud Native
Alibaba Cloud Native
Dec 9, 2025 · Cloud Native

How UModel Simplifies Observability with Unified Entity Search and Table/Object Modes

This article explains how UModel abstracts observability data into unified table and object models, hides complex routing and field‑mapping logic, provides a single SPL‑based query language, supports metadata reflection for AI agents, and offers SDK and dry‑run examples to streamline metric, log, and trace queries across multiple storage backends.

AI AgentAPISPL
0 likes · 15 min read
How UModel Simplifies Observability with Unified Entity Search and Table/Object Modes
Alibaba Cloud Observability
Alibaba Cloud Observability
Dec 1, 2025 · Cloud Native

How Entity Explorer Revolutionizes Cloud‑Native Observability with USearch and SPL

Entity Explorer provides a unified, high‑performance way to discover, query, and visualize billions of heterogeneous infrastructure, application, and business entities in cloud‑native environments, tackling massive data scale, semantic heterogeneity, and tight UI coupling through a USearch‑based search engine, scenario‑driven apps, dynamic topology, and model‑driven rendering.

Entity ExplorerSPLUModel
0 likes · 18 min read
How Entity Explorer Revolutionizes Cloud‑Native Observability with USearch and SPL
Alibaba Cloud Native
Alibaba Cloud Native
Nov 26, 2025 · Cloud Native

How Entity Explorer Redefines Cloud‑Native Observability with Unified Queries and Model‑Driven UI

Entity Explorer introduces a unified, model‑driven approach to cloud‑native observability that classifies infrastructure, application, business, and operations entities, tackles massive‑scale data, heterogeneity, and UI coupling challenges, and delivers fast, contextual search and visual analysis through USearch and SPL languages.

Cloud NativeEntitySPL
0 likes · 20 min read
How Entity Explorer Redefines Cloud‑Native Observability with Unified Queries and Model‑Driven UI
Alibaba Cloud Native
Alibaba Cloud Native
Jul 9, 2025 · Cloud Native

How SPL’s New Operators Supercharge Log‑to‑Metric Processing in Cloud‑Native Environments

The article introduces SPL’s latest operators—pack-fields, log-to-metric, and metric-to-metric—explaining their smart field aggregation, trimming, type inference, wildcard matching, and label manipulation capabilities, and demonstrates through code examples and performance benchmarks how they dramatically improve data processing efficiency and observability in cloud‑native log services.

Cloud NativeLog ProcessingSPL
0 likes · 10 min read
How SPL’s New Operators Supercharge Log‑to‑Metric Processing in Cloud‑Native Environments
Alibaba Cloud Observability
Alibaba Cloud Observability
Jun 9, 2025 · Cloud Native

Unlock Cross‑Region Log Analysis with SLS StoreView: A Practical Guide

This article explains how Alibaba Cloud's SLS StoreView feature enables seamless, real‑time cross‑region and cross‑project log queries, replacing complex ETL pipelines with virtual logstores and offering powerful SPL‑based data processing, visibility control, and schema alignment for efficient cloud‑native observability.

Data VisibilitySLSSPL
0 likes · 10 min read
Unlock Cross‑Region Log Analysis with SLS StoreView: A Practical Guide
Alibaba Cloud Native
Alibaba Cloud Native
Jun 3, 2025 · Cloud Native

How to Perform Cross‑Region Log Analysis with SLS StoreView

This guide explains how Alibaba Cloud's SLS StoreView feature lets you combine logstores from multiple regions and projects into a virtual logstore, enabling real‑time cross‑domain queries, row‑level visibility control, schema alignment, and SPL‑based data processing without costly ETL pipelines.

Data VisibilitySLSSPL
0 likes · 9 min read
How to Perform Cross‑Region Log Analysis with SLS StoreView
Alibaba Cloud Native
Alibaba Cloud Native
May 20, 2025 · Cloud Native

How Observability 2.0 Redefines Cloud‑Native Log Pipelines and Cuts Costs by 66%

Observability 2.0 unifies logs, metrics and traces into a single platform, introduces event‑centric Wide Events, and drives a complete redesign of Alibaba Cloud's SLS data pipeline that delivers higher performance, lower latency, richer low‑code SPL processing, and up to a 66.7% reduction in processing costs.

Cost OptimizationSPLdata pipeline
0 likes · 12 min read
How Observability 2.0 Redefines Cloud‑Native Log Pipelines and Cuts Costs by 66%
Alibaba Cloud Observability
Alibaba Cloud Observability
Apr 1, 2025 · Cloud Native

Shift Data Processing Left with SPL: Low‑Code, High‑Performance Cloud‑Native Solutions

This article explains how SPL rule consumption moves data cleaning and preprocessing to the server side, enabling low‑code, high‑performance, cloud‑native real‑time processing that reduces client complexity, latency, and bandwidth costs while integrating with services like Flink and DataWorks.

Log ServiceReal-time ProcessingSPL
0 likes · 10 min read
Shift Data Processing Left with SPL: Low‑Code, High‑Performance Cloud‑Native Solutions
Alibaba Cloud Native
Alibaba Cloud Native
Mar 25, 2025 · Cloud Native

Shift Data Cleaning Server‑Side with SPL: Boost Real‑Time Log Processing

Alibaba Cloud Log Service’s new SPL‑based rule consumption lets users move complex data‑cleaning logic from client code to the server, offering low‑code configuration, high performance, precise filtering, and significant reductions in latency, bandwidth, and compute resources across typical scenarios such as Python SDK processing and Flink integration.

Log ServiceReal-time ProcessingSPL
0 likes · 11 min read
Shift Data Cleaning Server‑Side with SPL: Boost Real‑Time Log Processing
Alibaba Cloud Observability
Alibaba Cloud Observability
Nov 13, 2024 · Cloud Native

Master Log Processing with iLogtail SPL: From Native Plugins to Advanced Transformations

This article introduces SLS's SPL (SLS Processing Language) for iLogtail, compares its three processing modes, details feature differences, highlights the advantages of iLogtail 2.0 + SPL, and provides step‑by‑step SPL examples covering regex, delimiter, JSON parsing, desensitization, field addition, encoding, mathematical operations, URL handling, and logical comparisons.

Log ProcessingSPLdata transformation
0 likes · 20 min read
Master Log Processing with iLogtail SPL: From Native Plugins to Advanced Transformations
Alibaba Cloud Native
Alibaba Cloud Native
Oct 16, 2024 · Cloud Native

Master Log Processing with iLogtail SPL: From Native Plugins to Advanced Transformations

This guide explains how iLogtail 2.0 introduces the SPL (SLS Processing Language) to unify log and time‑series data handling, compares native, extension, and SPL processing modes, and provides step‑by‑step SPL examples for regex, delimiter, JSON, desensitization, field addition, encoding, URL parsing, and mathematical operations.

Cloud NativeLog ProcessingSPL
0 likes · 17 min read
Master Log Processing with iLogtail SPL: From Native Plugins to Advanced Transformations
Alibaba Cloud Observability
Alibaba Cloud Observability
Aug 15, 2024 · Cloud Native

How SPL’s High‑Performance Mode Transforms Log Query at Scale

This article explains how the SLS Processing Language (SPL) combines pipeline syntax with SQL‑like operators, introduces a high‑performance mode that pushes computation to storage nodes and uses vectorized processing, and demonstrates sub‑second query times on billions of log entries while supporting rich filtering, histogram visualization, and random paging.

SPLhigh performance queryobservability
0 likes · 17 min read
How SPL’s High‑Performance Mode Transforms Log Query at Scale
Alibaba Cloud Native
Alibaba Cloud Native
Aug 12, 2024 · Cloud Native

How SPL’s High‑Performance Mode Supercharges Log Queries in the Cloud

Log data’s immutable, random, and multi‑source nature makes traditional search inefficient, so Alibaba Cloud’s SLS introduces the SPL pipeline language, combining Unix‑style piping with SQL‑like functions, and leverages computation push‑down, vectorized processing, and optimized I/O to deliver high‑performance log queries at scale.

Cloud NativeSPLhigh performance
0 likes · 18 min read
How SPL’s High‑Performance Mode Supercharges Log Queries in the Cloud
Alibaba Cloud Observability
Alibaba Cloud Observability
Jul 31, 2024 · Cloud Native

How the New SLS Data Processing Boosts Performance, Cuts Cost, and Simplifies Debugging with SPL

This article explains how Alibaba Cloud's SLS data processing resolves the tension between simple log collection and the need for structured, analyzable data by introducing a unified SPL syntax, delivering over tenfold performance gains, reducing costs to one‑third, and providing powerful debugging tools for cloud‑native log analytics.

Log ProcessingSPLdata engineering
0 likes · 8 min read
How the New SLS Data Processing Boosts Performance, Cuts Cost, and Simplifies Debugging with SPL
Alibaba Cloud Observability
Alibaba Cloud Observability
May 29, 2024 · Big Data

How SPL Boosts iLogtail 2.0: Combining Performance and Flexibility in Log Processing

This article traces the evolution of streaming processing languages, compares iLogtail's native and extended pipeline modes, and demonstrates how the new SPL syntax in iLogtail 2.0 delivers high‑performance, flexible log and time‑series data processing with unified, SQL‑like commands and interactive debugging tools.

Log AnalyticsSPLdata pipelines
0 likes · 13 min read
How SPL Boosts iLogtail 2.0: Combining Performance and Flexibility in Log Processing
Alibaba Cloud Native
Alibaba Cloud Native
Apr 16, 2024 · Operations

Unlocking Log Insights: How SPL Brings Interactive Pipe‑Style Queries to Cloud‑Native Observability

This article explains how the SLS Processing Language (SPL) enables interactive, pipeline‑based log analysis in cloud‑native environments, covering the challenges of unstructured log data, Unix‑inspired exploration, SPL syntax, key commands, and practical examples for efficient querying and transformation.

Cloud NativePipelineSPL
0 likes · 12 min read
Unlocking Log Insights: How SPL Brings Interactive Pipe‑Style Queries to Cloud‑Native Observability
Alibaba Cloud Observability
Alibaba Cloud Observability
Apr 16, 2024 · Cloud Native

Mastering Interactive Log Exploration with SPL: Unix‑Inspired Pipelines in Cloud Native Environments

This article explains how the SLS Processing Language (SPL) brings Unix‑style pipelined, interactive log exploration to cloud‑native observability, detailing why logs are unstructured, how SPL’s unified syntax works, and which commands simplify field projection, enrichment, filtering, and semi‑structured data parsing.

Log ProcessingSPLUnix pipes
0 likes · 12 min read
Mastering Interactive Log Exploration with SPL: Unix‑Inspired Pipelines in Cloud Native Environments
Alibaba Cloud Native
Alibaba Cloud Native
Feb 26, 2024 · Cloud Native

How to Structure Weakly Structured Logs with Flink SLS SPL

This guide explains how to use Alibaba Cloud's SLS connector and SPL expressions within Flink to clean, parse, and transform weakly structured log data into a structured table suitable for real‑time SQL analysis, covering sample logs, field extraction rules, and step‑by‑step configuration.

Data CleansingFlinkSLS
0 likes · 14 min read
How to Structure Weakly Structured Logs with Flink SLS SPL
Alibaba Cloud Native
Alibaba Cloud Native
Feb 20, 2024 · Cloud Native

What’s New in iLogtail 2.0? A Deep Dive into the Updated Pipeline Architecture

iLogtail 2.0 replaces the monolithic, file‑oriented design of its predecessor with a modular pipeline configuration, new input/processor/output plugins, a refreshed API, SPL processing, finer‑grained parsing controls, nanosecond‑level timestamps, enhanced observability, and performance improvements, while providing compatibility guidance for both commercial and open‑source editions.

APICloud NativeSPL
0 likes · 17 min read
What’s New in iLogtail 2.0? A Deep Dive into the Updated Pipeline Architecture
21CTO
21CTO
Dec 14, 2023 · Databases

Why esProc SPL Beats SQLite for Lightweight Data Processing

esProc SPL, a pure‑Java, lightweight data‑processing engine, offers richer data source support, built‑in flow control, and easier complex calculations compared to SQLite, making it a powerful alternative for small applications that need database‑like capabilities without the overhead of traditional databases.

SPLSQLitedata-processing
0 likes · 7 min read
Why esProc SPL Beats SQLite for Lightweight Data Processing
Programmer DD
Programmer DD
May 24, 2023 · Databases

Why SQL Struggles with Complex Queries and How SPL Offers a Solution

This article examines the inherent difficulties of SQL when handling multi‑step, ordered, and object‑referencing queries, illustrates them with practical examples, and introduces the Structured Process Language (SPL) as a more expressive alternative for data processing tasks.

CTESPLquery optimization
0 likes · 16 min read
Why SQL Struggles with Complex Queries and How SPL Offers a Solution
Java Captain
Java Captain
Jan 4, 2023 · Databases

Managing Database Intermediate Tables with File Storage Using SPL

The article explains how excessive intermediate tables generated by reporting workloads degrade database storage and performance, and proposes using the SPL data‑processing tool to store these intermediate results as external files, thereby reducing capacity pressure, improving I/O speed, and simplifying management.

SPLdata-processingdatabases
0 likes · 9 min read
Managing Database Intermediate Tables with File Storage Using SPL
Architect's Tech Stack
Architect's Tech Stack
Dec 30, 2022 · Big Data

Distributed Computing Is Not a Panacea for Big Data: Prioritize Single‑Node Performance First

While distributed clusters are popular for big‑data processing, they are not a universal solution; tasks that are hard to partition or involve heavy cross‑node communication often perform better on a well‑optimized single machine, making a careful analysis of workload characteristics essential before scaling out.

Algorithm OptimizationBig DataSPL
0 likes · 14 min read
Distributed Computing Is Not a Panacea for Big Data: Prioritize Single‑Node Performance First
Top Architect
Top Architect
Jun 18, 2022 · Big Data

Overview of Data Lakes and the Open SPL Compute Engine

This article explains the concept and challenges of data lakes, describes the “impossible triangle” of storage, compute, and cost, and introduces the open‑source SPL engine that provides multi‑source, file‑based, high‑performance computing to overcome those limitations.

Data LakeSPLcompute engine
0 likes · 13 min read
Overview of Data Lakes and the Open SPL Compute Engine
Architect's Tech Stack
Architect's Tech Stack
May 28, 2022 · Big Data

Data Lake Challenges and the Open SPL Computing Engine

The article examines the inherent trade‑offs of data lakes—maintaining raw data, enabling efficient computation, and keeping costs low—explains why traditional data‑warehouse approaches fall short, and introduces the open‑source SPL engine that provides multi‑source, file‑based, high‑performance analytics to overcome these limitations.

Big DataData LakeETL
0 likes · 12 min read
Data Lake Challenges and the Open SPL Computing Engine
IT Xianyu
IT Xianyu
Mar 3, 2022 · Databases

Introducing SPL: An Open‑Source Structured Data Processing Language with Full SQL‑92 Capabilities

SPL is an open‑source structured data processing language that extends full SQL‑92 functionality to a wide range of data sources—including CSV, Excel, JSON, NoSQL and Hadoop—allowing developers to perform complex queries, multi‑step calculations, and mixed‑source analytics without a traditional relational database.

Big DataData IntegrationSPL
0 likes · 14 min read
Introducing SPL: An Open‑Source Structured Data Processing Language with Full SQL‑92 Capabilities
Programmer DD
Programmer DD
Feb 13, 2022 · Backend Development

How SPL Transforms Report Data Preparation and Cuts Development Time

This article explains how the open‑source Structured Process Language (SPL) streamlines report data preparation, replaces complex SQL and Java code, supports multi‑source processing, enables hot‑swap, and dramatically reduces development effort and performance bottlenecks.

ReportingSPLdata preparation
0 likes · 16 min read
How SPL Transforms Report Data Preparation and Cuts Development Time
Java Backend Technology
Java Backend Technology
Jan 11, 2022 · Databases

Why SQL Fails at Multi‑Group & Top‑N Queries and How SPL Fixes It

The article explains how conventional SQL struggles with executing multiple grouping and Top‑N aggregations on massive tables, leading to repeated full scans and poor performance, and demonstrates how the SPL compute engine can perform these operations in a single pass with parallelism, improving speed and scalability.

SPLbig-dataperformance
0 likes · 14 min read
Why SQL Fails at Multi‑Group & Top‑N Queries and How SPL Fixes It
Programmer DD
Programmer DD
Dec 25, 2021 · Databases

Why SQL Struggles with Complex Queries and How SPL Offers a Solution

The article analyzes four fundamental limitations of SQL—lack of stepwise execution, incomplete set semantics, missing ordered operations, and no object reference mechanism—illustrates them with real queries, and introduces SPL as a more intuitive language that overcomes these issues.

SPLdata analysisquery optimization
0 likes · 19 min read
Why SQL Struggles with Complex Queries and How SPL Offers a Solution
IT Architects Alliance
IT Architects Alliance
Nov 19, 2021 · Backend Development

How SPL Transforms Java Data Processing: From CSV to Multi‑JSON with Embedded SQL

This article introduces SPL, an open‑source Java‑embeddable computation library that outperforms traditional embedded databases and DataFrame tools by handling both tabular and nested JSON data, supporting JDBC, SQL‑like queries, multi‑source integration, and persistent .btx files with concise code examples.

Embedded DatabaseJDBCJSON
0 likes · 8 min read
How SPL Transforms Java Data Processing: From CSV to Multi‑JSON with Embedded SQL
21CTO
21CTO
Mar 23, 2016 · Fundamentals

Master PHP Data Structures: Stack, Queue, and Min-Heap with SPL

This article explains the concept of heaps, especially min‑heaps, and demonstrates how PHP's SPL provides ready‑made implementations for stacks, queues, min‑heaps, and fixed‑size arrays with clear code examples.

Data StructuresHeapPHP
0 likes · 3 min read
Master PHP Data Structures: Stack, Queue, and Min-Heap with SPL