<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Timeplus]]></title><description><![CDATA[Timeplus]]></description><link>https://www.timeplus.com/blog-archive</link><generator>RSS for Node</generator><lastBuildDate>Sun, 04 Oct 2026 13:39:58 GMT</lastBuildDate><atom:link href="iframe.php?url=https%3A%2F%2Fwww.timeplus.com%2Fblog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[How We Built a Shared Code Knowledge Graph with Timeplus]]></title><description><![CDATA[What if your coding agent could understand the relationships across your entire codebase, instead of rediscovering them one file at a time?  Our CTO Gang Tao recently built timeplus-knowledge (TPK), an open-source system that turns source code, docs, and deployment config into a shared knowledge graph.]]></description><link>https://www.timeplus.com/post/shared-code-knowledge-graph</link><guid isPermaLink="false">6a95bac10125627071cf5b73</guid><category><![CDATA[All Posts]]></category><category><![CDATA[Feature]]></category><category><![CDATA[Open Source]]></category><pubDate>Fri, 28 Aug 2026 17:50:07 GMT</pubDate><enclosure url="iframe.php?url=https%3A%2F%2Fstatic.wixstatic.com%2Fmedia%2F394cc9_60b3dc55015045898dc0606aa1017791%7Emv2.png%2Fv1%2Ffit%2Fw_1000%2Ch_1000%2Cal_c%2Cq_80%2Ffile.png" length="0" type="image/png"/><dc:creator>Gang Tao</dc:creator></item><item><title><![CDATA[Free-Threaded Python in Timeplus: Scaling Across Cores]]></title><description><![CDATA[Timeplus 3.3.1 embeds free-threaded CPython 3.14, allowing UDFs, external streams, and table functions to run concurrently instead of queueing behind a single interpreter lock. In our benchmark, eight concurrent Python UDF queries completed in 1.18 seconds, down from 10.09 seconds.]]></description><link>https://www.timeplus.com/post/free-threaded-python</link><guid isPermaLink="false">6a861e2c6c395e7dcc399214</guid><category><![CDATA[Product]]></category><category><![CDATA[Feature]]></category><category><![CDATA[All Posts]]></category><pubDate>Wed, 19 Aug 2026 21:32:18 GMT</pubDate><enclosure url="iframe.php?url=https%3A%2F%2Fstatic.wixstatic.com%2Fmedia%2F394cc9_331d7f15a3664edfac974007b2fc79f9%7Emv2.png%2Fv1%2Ffit%2Fw_1000%2Ch_1000%2Cal_c%2Cq_80%2Ffile.png" length="0" type="image/png"/><dc:creator>Timeplus Team</dc:creator></item><item><title><![CDATA[Timeplus Enterprise 3.3: Converged MPP and Cloud-Native at Production Scale, Eliminating Trade-offs Between Low-Latency, Scalability and Visibility]]></title><description><![CDATA[Timeplus Enterprise 3.3 is here. This release hardens the Timeplus architecture for production-scale streaming workloads: per-stream storage policy, local storage for hot streams, S3 tiering for historical data, and one SQL engine across both tiers. Leading global enterprises run mission-critical pipelines on Timeplus, including network and security detection at 10M events/sec with sub-second latency, and gaming operations telemetry processing 30 TB of daily data, peaking at 700 MB/s.]]></description><link>https://www.timeplus.com/post/timeplus-enterprise-3-3</link><guid isPermaLink="false">6a7b584b2a9b322b8de7a509</guid><category><![CDATA[Product]]></category><category><![CDATA[All Posts]]></category><category><![CDATA[Feature]]></category><pubDate>Mon, 10 Aug 2026 17:44:00 GMT</pubDate><enclosure url="iframe.php?url=https%3A%2F%2Fstatic.wixstatic.com%2Fmedia%2F394cc9_6ae3a210fde2474f96c808f021c939c0%7Emv2.jpg%2Fv1%2Ffit%2Fw_1000%2Ch_907%2Cal_c%2Cq_80%2Ffile.png" length="0" type="image/png"/><dc:creator>Timeplus Team</dc:creator></item><item><title><![CDATA[Beyond Prompt Guardrails: Why AI Agents Need Runtime Detection and Enforcement]]></title><description><![CDATA[A single prompt, retrieval, or tool call may look benign in isolation. The risk often appears in the chain: untrusted content influencing a tool call, unusual arguments, sensitive data access, or an external action. That is why agent security needs runtime telemetry, correlation, and enforcement close to the action. ]]></description><link>https://www.timeplus.com/post/ai-agents-runtime-detection</link><guid isPermaLink="false">6a63bb48532301fe59f91715</guid><category><![CDATA[Product]]></category><category><![CDATA[All Posts]]></category><category><![CDATA[Feature]]></category><pubDate>Fri, 24 Jul 2026 19:38:51 GMT</pubDate><enclosure url="iframe.php?url=https%3A%2F%2Fstatic.wixstatic.com%2Fmedia%2F394cc9_f4fe8257c7bd45c99623bdc3bc1a26ff%7Emv2.png%2Fv1%2Ffit%2Fw_1000%2Ch_1000%2Cal_c%2Cq_80%2Ffile.png" length="0" type="image/png"/><dc:creator>Timeplus Team</dc:creator></item><item><title><![CDATA[Timeplus' Elastic Autoscaling: 100 GB/s Real-Time Compute with Materialized Views]]></title><description><![CDATA[100 GB/s of real-time compute requires a different scaling architecture than 100 GB/s of ingest. In our latest article, we break down how a Timeplus cluster sustained 102.1 GB/s of total real-time processing throughput while running hundreds of materialized views. ]]></description><link>https://www.timeplus.com/post/elastic-autoscaling-100-gb</link><guid isPermaLink="false">6a5940740ff39938e1ccc93d</guid><category><![CDATA[Product]]></category><category><![CDATA[All Posts]]></category><category><![CDATA[Feature]]></category><pubDate>Thu, 16 Jul 2026 20:49:22 GMT</pubDate><enclosure url="iframe.php?url=https%3A%2F%2Fstatic.wixstatic.com%2Fmedia%2F394cc9_cbc327afd93c412885ed3bb4f8922e55%7Emv2.jpg%2Fv1%2Ffit%2Fw_900%2Ch_680%2Cal_c%2Cq_80%2Ffile.png" length="0" type="image/png"/><dc:creator>Timeplus Team</dc:creator></item><item><title><![CDATA[When You and Your AI Start Thinking Alike: Inside the Research on Epistemic Congruence]]></title><description><![CDATA[What happens when you and your AI start thinking too much alike? In our latest article, we discuss “epistemic congruence”: the alignment of beliefs between a human and an agent. Healthy alignment supports collaboration. Excessive alignment can suppress doubt, reinforce bias, and gradually separate the pair from outside reality. ]]></description><link>https://www.timeplus.com/post/when-you-and-your-ai-start-thinking-alike</link><guid isPermaLink="false">6a43ce322481452f72d9ca74</guid><category><![CDATA[Case Study]]></category><category><![CDATA[Feature]]></category><category><![CDATA[All Posts]]></category><pubDate>Fri, 26 Jun 2026 04:00:00 GMT</pubDate><enclosure url="iframe.php?url=https%3A%2F%2Fstatic.wixstatic.com%2Fmedia%2F394cc9_23335be331ca42458242b6191dbaa245%7Emv2.jpg%2Fv1%2Ffit%2Fw_900%2Ch_680%2Cal_c%2Cq_80%2Ffile.png" length="0" type="image/png"/><dc:creator>Gang Tao</dc:creator></item><item><title><![CDATA[Introducing Timeplus Apps: Install Streaming Pipelines with One Click]]></title><description><![CDATA[Introducing Timeplus Apps, where each app is a complete streaming pipeline! Browse the catalog, pick an app, install it, and you have a running pipeline with dashboards in minutes from one click. 

Timeplus has always been a fast, SQL-native streaming engine. But raw primitives — streams, materialized views, UDFs, dashboards — need to be assembled into a pipeline to work. ]]></description><link>https://www.timeplus.com/post/introducing-timeplus-apps</link><guid isPermaLink="false">6a1889f98b50f46c29e064db</guid><category><![CDATA[Product]]></category><category><![CDATA[All Posts]]></category><category><![CDATA[Feature]]></category><pubDate>Thu, 28 May 2026 18:41:47 GMT</pubDate><enclosure url="iframe.php?url=https%3A%2F%2Fstatic.wixstatic.com%2Fmedia%2F394cc9_c1e173bf2b7e40649fe161a809a0c3a3%7Emv2.jpg%2Fv1%2Ffit%2Fw_1000%2Ch_907%2Cal_c%2Cq_80%2Ffile.png" length="0" type="image/png"/><dc:creator>Gang Tao</dc:creator></item><item><title><![CDATA[A Unified Architecture: How Timeplus Bridges Historical Backfill and Real-Time Processing]]></title><description><![CDATA[In a stream processing system, backfill means a streaming query first processes historical data, then seamlessly switches to real-time data and keeps running. In this article, our Senior Engineer Li Yang explains the technical evolution of our core engine's unified architecture. Timeplus’s backfill capability first ensured semantic continuity, then evolved to improve historical backfill efficiency.]]></description><link>https://www.timeplus.com/post/unified-architecture-historical-real-time</link><guid isPermaLink="false">6a10beb6ace98b70c0b2d0af</guid><category><![CDATA[Product]]></category><category><![CDATA[All Posts]]></category><category><![CDATA[Feature]]></category><pubDate>Fri, 22 May 2026 21:08:28 GMT</pubDate><enclosure url="iframe.php?url=https%3A%2F%2Fstatic.wixstatic.com%2Fmedia%2F394cc9_45e32c2be5424794acf3e5524f368378%7Emv2.jpg%2Fv1%2Ffit%2Fw_1000%2Ch_907%2Cal_c%2Cq_80%2Ffile.png" length="0" type="image/png"/><dc:creator>Li Yang</dc:creator></item><item><title><![CDATA[AI Agents Need Real-Time Guardrails. Here’s How We Built Timeplus AgentGuard.]]></title><description><![CDATA[If you're shipping AI coding agents into prod, you know that each shell command, package install, and 3rd-party API call becomes a new attack surface. Is your security team actively auditing your agents? We built AgentGuard for this exact purpose, to place real-time guard rails for agents. It's a detection and response engine that turns agent traces &#38; tool call into signals and enforces decisions before execution. ]]></description><link>https://www.timeplus.com/post/agentguard-real-time-guardrails</link><guid isPermaLink="false">69f3c04d8ca39cf305c43d2f</guid><category><![CDATA[Product]]></category><category><![CDATA[All Posts]]></category><category><![CDATA[Feature]]></category><pubDate>Thu, 30 Apr 2026 21:02:24 GMT</pubDate><enclosure url="iframe.php?url=https%3A%2F%2Fstatic.wixstatic.com%2Fmedia%2F3796d3_282100886be441c38c5b8a85e0024482%7Emv2.jpg%2Fv1%2Ffit%2Fw_1000%2Ch_1000%2Cal_c%2Cq_80%2Ffile.png" length="0" type="image/png"/><dc:creator>Gang Tao</dc:creator></item><item><title><![CDATA[Real-Time Security Detection for AI Agents: Introducing Timeplus AgentGuard]]></title><description><![CDATA[Introducing Timeplus AgentGuard, the first real-time security detection application purpose-built for AI agents. Running natively on the Timeplus engine, AgentGuard turns raw OpenTelemetry logs, metrics, traces plus agent hook events into real-time actionable threat detection, policy enforcement, cost governance, and audit-ready trails. It helps SecOps apply dynamic detection logic that keeps up with agentic threat in real time.]]></description><link>https://www.timeplus.com/post/agentguard</link><guid isPermaLink="false">69e1211c43fd38a1bb6ca8c3</guid><category><![CDATA[Product]]></category><category><![CDATA[Feature]]></category><category><![CDATA[All Posts]]></category><pubDate>Thu, 16 Apr 2026 17:57:52 GMT</pubDate><enclosure url="iframe.php?url=https%3A%2F%2Fstatic.wixstatic.com%2Fmedia%2F3796d3_43bae41bf55349e3a3658c31ba21aec2%7Emv2.jpg%2Fv1%2Ffit%2Fw_1000%2Ch_1000%2Cal_c%2Cq_80%2Ffile.png" length="0" type="image/png"/><dc:creator>Ting Wang</dc:creator></item><item><title><![CDATA[Real-Time Streaming as the Context Layer for AI Agents]]></title><description><![CDATA[Most enterprise AI projects fail — not because the models are weak, but because the data feeding them is stale. Streaming platforms turn the agent's context window into a live view. Instead of the AI pulling context by searching at query time, context is continuously computed and pushed to the agent's working memory. This happens through streaming SQL pipelines. ]]></description><link>https://www.timeplus.com/post/context-layer-for-ai-agents</link><guid isPermaLink="false">69d809ca646a4e908b7202ec</guid><category><![CDATA[Product]]></category><category><![CDATA[All Posts]]></category><category><![CDATA[Feature]]></category><pubDate>Thu, 09 Apr 2026 21:09:40 GMT</pubDate><enclosure url="iframe.php?url=https%3A%2F%2Fstatic.wixstatic.com%2Fmedia%2F3796d3_f4624155b3bf44d18f11a9710dc4ddef%7Emv2.jpg%2Fv1%2Ffit%2Fw_1000%2Ch_1000%2Cal_c%2Cq_80%2Ffile.png" length="0" type="image/png"/><dc:creator>Gang Tao</dc:creator></item><item><title><![CDATA[From Logs to Context: Why Your SOC Detection Needs a Real-Time Context and Control Layer]]></title><description><![CDATA[In the traditional pipeline, every step after ingestion is retroactive. The SIEM owns the data, and all analysis depends on querying stored records. Alternatively, the new architecture inserts a real-time processing layer between the raw logs and the downstream stores. Our CEO, Ting Wang, shares details in his latest blog. ]]></description><link>https://www.timeplus.com/post/from-logs-to-context</link><guid isPermaLink="false">69c5b8d95ed83abd8bbce372</guid><category><![CDATA[Case Study]]></category><category><![CDATA[All Posts]]></category><category><![CDATA[Feature]]></category><pubDate>Fri, 27 Mar 2026 03:03:44 GMT</pubDate><enclosure url="iframe.php?url=https%3A%2F%2Fstatic.wixstatic.com%2Fmedia%2F3796d3_12f8436f55c84f61bad865bdb1462f81%7Emv2.jpg%2Fv1%2Ffit%2Fw_900%2Ch_680%2Cal_c%2Cq_80%2Ffile.png" length="0" type="image/png"/><dc:creator>Ting Wang</dc:creator></item><item><title><![CDATA[Securing OpenClaw with Timeplus: A Real-Time Defense Architecture]]></title><description><![CDATA[In this blog, we'll break down OpenClaw's security architecture and known vulnerabilities, and share a concrete implementation plan using Timeplus' streaming SQL engine as a real-time security backbone. This will process millions of agent events per second with 4ms end-to-end latency to detect prompt injection, data exfiltration, privilege escalation, and supply chain attacks as they happen.]]></description><link>https://www.timeplus.com/post/securing-openclaw-with-timeplus</link><guid isPermaLink="false">69bd799bf20a14d18812a669</guid><category><![CDATA[Case Study]]></category><category><![CDATA[All Posts]]></category><category><![CDATA[Feature]]></category><pubDate>Fri, 20 Mar 2026 18:29:15 GMT</pubDate><enclosure url="iframe.php?url=https%3A%2F%2Fstatic.wixstatic.com%2Fmedia%2F3796d3_03405438b8174d5abec9facf57611e73%7Emv2.jpg%2Fv1%2Ffit%2Fw_900%2Ch_680%2Cal_c%2Cq_80%2Ffile.png" length="0" type="image/png"/><dc:creator>Gang Tao</dc:creator></item><item><title><![CDATA[Timeplus PulseBot: Open-Source OpenClaw Alternative, Built with Timeplus SQL Skill]]></title><description><![CDATA[Timeplus PulseBot is a stream-native AI agent framework our CTO, Gang Tao, built at Timeplus. The core idea is simple: instead of treating observability, memory, communication, and scheduling as separate concerns to be bolted on later, Timeplus's streaming engine is the backbone for all of them.]]></description><link>https://www.timeplus.com/post/pulsebot</link><guid isPermaLink="false">69a0afde9d34acb7c4325eb4</guid><category><![CDATA[Open Source]]></category><category><![CDATA[All Posts]]></category><category><![CDATA[Feature]]></category><pubDate>Thu, 26 Feb 2026 21:10:44 GMT</pubDate><enclosure url="iframe.php?url=https%3A%2F%2Fstatic.wixstatic.com%2Fmedia%2F3796d3_b5549fab6b7741a08de1c7f90ed7683e%7Emv2.jpg%2Fv1%2Ffit%2Fw_900%2Ch_680%2Cal_c%2Cq_80%2Ffile.png" length="0" type="image/png"/><dc:creator>Gang Tao</dc:creator></item><item><title><![CDATA[Introducing Vistral: A Grammar of Graphics for Streaming Data]]></title><description><![CDATA[excited to announce the open-source of Vistral — a TypeScript library that brings the Grammar of Graphics to streaming data. The name is a portmanteau of Visual + Stream. It's what we've been building internally at Timeplus to power our streaming dashboards, and now it's available for every developer under open source Apache 2.0 license.]]></description><link>https://www.timeplus.com/post/vistral</link><guid isPermaLink="false">699408526df156fdbe9ee97b</guid><category><![CDATA[Open Source]]></category><category><![CDATA[All Posts]]></category><category><![CDATA[Feature]]></category><pubDate>Tue, 17 Feb 2026 05:00:00 GMT</pubDate><enclosure url="iframe.php?url=https%3A%2F%2Fstatic.wixstatic.com%2Fmedia%2F3796d3_067b65b39a8048079a2efadceda44831%7Emv2.jpg%2Fv1%2Ffit%2Fw_900%2Ch_680%2Cal_c%2Cq_80%2Ffile.png" length="0" type="image/png"/><dc:creator>Gang Tao</dc:creator></item><item><title><![CDATA[Bring AI to Real-Time Data: Introducing Timeplus Support for MCP]]></title><description><![CDATA[Timeplus now supports the Model Context Protocol (MCP), allowing AI assistants like Claude to directly query your streaming data, explore schemas, and help you build real-time data processing pipeline, all through natural conversation.]]></description><link>https://www.timeplus.com/post/mcp-support</link><guid isPermaLink="false">698b51353faa9e439beeac18</guid><category><![CDATA[Product]]></category><category><![CDATA[All Posts]]></category><category><![CDATA[Feature]]></category><pubDate>Tue, 10 Feb 2026 15:54:05 GMT</pubDate><enclosure url="iframe.php?url=https%3A%2F%2Fstatic.wixstatic.com%2Fmedia%2F3796d3_8f8d4000a83a49a28427f93d80b58ee0%7Emv2.jpg%2Fv1%2Ffit%2Fw_900%2Ch_680%2Cal_c%2Cq_80%2Ffile.png" length="0" type="image/png"/><dc:creator>Gang Tao</dc:creator></item><item><title><![CDATA[Unlock Unlimited Extensibility: Python Table Functions in Timeplus]]></title><description><![CDATA[imeplus is known for its powerful streaming SQL capabilities, but what happens when SQL alone isn't enough? Sometimes you need to integrate with external systems that don't have native connectors, apply custom transformation logic, or leverage the vast Python ecosystem for specialized data processing. That's exactly why we built Python Table Functions — a new feature that lets you embed Python code directly into your streaming SQL pipelines.]]></description><link>https://www.timeplus.com/post/python-table-functions</link><guid isPermaLink="false">698214a4322c09b8312c6912</guid><category><![CDATA[Product]]></category><category><![CDATA[All Posts]]></category><category><![CDATA[Feature]]></category><pubDate>Mon, 02 Feb 2026 05:00:00 GMT</pubDate><enclosure url="iframe.php?url=https%3A%2F%2Fstatic.wixstatic.com%2Fmedia%2F3796d3_37e2fe33bb2b421496b1d2ce883420b8%7Emv2.jpg%2Fv1%2Ffit%2Fw_1000%2Ch_907%2Cal_c%2Cq_80%2Ffile.png" length="0" type="image/png"/><dc:creator>Gang Tao</dc:creator></item><item><title><![CDATA[Migration in Minutes: From Splunk Add-Ons to Timeplus SQL]]></title><description><![CDATA[Organizations evaluating Splunk alternatives face a crowded market. Streaming SQL platforms like Timeplus represent a different architectural choice: rather than searching indexed historical data, they process data continuously as it arrives. This enables sub-second alerting latency versus the minutes-to-hours delay of scheduled Splunk searches, at performance benchmarks claiming 90 million events per second throughput and 4ms end-to-end latency.]]></description><link>https://www.timeplus.com/post/splunk-to-timeplus-migration</link><guid isPermaLink="false">697a3148c1bd63f263fcd98c</guid><category><![CDATA[Tutorial]]></category><category><![CDATA[All Posts]]></category><category><![CDATA[Feature]]></category><pubDate>Wed, 28 Jan 2026 17:11:48 GMT</pubDate><enclosure url="iframe.php?url=https%3A%2F%2Fstatic.wixstatic.com%2Fmedia%2F3796d3_5ff2bc7cd4834db1b7337e29f8afb170%7Emv2.jpg%2Fv1%2Ffit%2Fw_900%2Ch_680%2Cal_c%2Cq_80%2Ffile.png" length="0" type="image/png"/><dc:creator>Gang Tao</dc:creator></item><item><title><![CDATA[Real-Time Hacker News Monitoring with Timeplus Scheduled Tasks]]></title><description><![CDATA[Hacker News sees over 10 million monthly visitors and serves as a leading indicator for technology trends. In this blog, our CTO Gang Tao shows how you can use Timeplus Scheduled Tasks to build a complete Hacker News monitoring pipeline, from data ingestion to real-time analysis, without leaving your SQL console.]]></description><link>https://www.timeplus.com/post/hacker-news-monitoring</link><guid isPermaLink="false">696ea9e0423c15f2e1ef4571</guid><category><![CDATA[Case Study]]></category><category><![CDATA[All Posts]]></category><category><![CDATA[Feature]]></category><pubDate>Tue, 20 Jan 2026 19:00:27 GMT</pubDate><enclosure url="iframe.php?url=https%3A%2F%2Fstatic.wixstatic.com%2Fmedia%2F3796d3_002f6f9981f04cab9b01b2ecde62b394%7Emv2.jpg%2Fv1%2Ffit%2Fw_1000%2Ch_907%2Cal_c%2Cq_80%2Ffile.png" length="0" type="image/png"/><dc:creator>Gang Tao</dc:creator></item><item><title><![CDATA[Optimizing Splunk at Scale with Timeplus Data Pipeline  ]]></title><description><![CDATA[Timeplus now has support for Splunk S2S protocol, making us a streaming-first alternative to traditional observability pipelines. We enable enterprises to intercept Splunk data for real-time processing, intelligent routing, and significant cost reduction. 
Our CTO Gang Tao will introduce you to this new feature and how it can help you to build a more efficient telemetry pipeline.]]></description><link>https://www.timeplus.com/post/splunk-s2s</link><guid isPermaLink="false">696812de801fea0f8809b2c3</guid><category><![CDATA[Product]]></category><category><![CDATA[All Posts]]></category><category><![CDATA[Feature]]></category><pubDate>Thu, 15 Jan 2026 22:27:24 GMT</pubDate><enclosure url="iframe.php?url=https%3A%2F%2Fstatic.wixstatic.com%2Fmedia%2F3796d3_a067ccc470404946a00a78f3b208c255%7Emv2.jpg%2Fv1%2Ffit%2Fw_900%2Ch_680%2Cal_c%2Cq_80%2Ffile.png" length="0" type="image/png"/><dc:creator>Gang Tao</dc:creator></item></channel></rss>