Systems | Development | Analytics | API | Testing

thoughtspot

ThoughtSpot + ClickHouse Delivers Agentic Analytics at Scale

Sep 16, 2026 By Antonio Scaramuzzino In ThoughtSpot
Agentic analytics, embedded customer-facing reporting, and everyday business metrics now demand the same thing: performance at massive scale, and answers fast enough that a business user never notices the wait. Most generic databases were never designed for that combination. They assume a small population of analysts writing SQL and query latency measured in seconds, not AI agents and business users asking questions around the clock.
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hitachi vantara

Five Habits That Cut IT Energy Waste, Without Spending More

Sep 16, 2026 By Courtney Hadden In Hitachi Vantara
Sustainability often gets treated like a policy or a pledge. But real progress comes from concrete operational habits that IT teams can adopt directly and measure over time. The urgency is growing. The International Energy Agency projects that global data center electricity consumption will more than double to around 945 TWh by 2030, with AI the most important driver of that growth. That makes efficiency not only a sustainability goal, but an operating requirement.
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bugfender

How to Find and Fix JavaScript Memory Leaks

Sep 16, 2026 By Aleix Ventayol In Bugfender
Memory leaks are the bugs that really creep up on you. One minute your app is running perfectly, then suddenly it slows to a crawl or crashes. We don’t get a warning with memory leaks, so we need to prepare proactively and be ready when they hit. This means we need to: This guide is here for all of that.
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How Developers Organize Web Resources During Software Testing and Development

How Developers Organize Web Resources During Software Testing and Development

Sep 16, 2026 By SystemsDigest In SystemsDigest
Modern software development depends on far more than a code editor and source repository. Developers regularly move between documentation, API references, testing tools, staging environments, issue trackers, monitoring dashboards, browser tools, and deployment services. When these resources are scattered across open tabs, messages, bookmarks, and project notes, valuable time is lost simply finding the right page again. A small amount of organization can make both development and testing more efficient.
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speedscale

Use AI and traffic replay to test AI-generated code

Sep 15, 2026 By Ken Ahrens In Speedscale
When I ask an AI agent to change code, I also want it to run the application and test what it changed. Asking it to write some tests is a start. But if it invents the expected responses from the same assumptions it used to write the code, those tests can miss the same mistake. Traffic replay gives the agent something concrete to test against: requests and responses captured from a working application.
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thoughtspot

Which AI Analyst Holds Up Best for Your Hard Questions?

Sep 15, 2026 By Abhinav Singh In ThoughtSpot
Analytics vendors claim their AI answers questions accurately, but almost none of them will show you how they checked. The standard move is a percentage with no denominator: "90%+ accuracy on internal benchmarks." No dataset you can download. No scoring method you can inspect. No competitor runs under the same conditions. You're asked to trust the grade without ever seeing the exam1 We ran the exam in public terms instead.
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tideways

Tideways 2026.3 Release

Sep 15, 2026 By Diana Scheffen In Tideways
This Release introduces AI Performance Insights, expanding the Tideways CLI with access to monitoring, exception tracking, Slow SQL, and trace data for agentic performance analysis. We added PHP 8.6 compatibility and improved trace views and instrumentation. We’ve also added a broad range of new framework- and ORM-specific bottleneck detections for Shopware, Magento, Laravel, Symfony, and Doctrine.
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countly

Your analytics platform is part of your attack surface

Sep 15, 2026 By Countly Team In Countly
Analytics platforms are built to help organizations understand what their users are doing. Increasingly, they do much more than that: they connect behavioral data with customer context, power personalization, inform automated decisions, and provide intelligence to teams and AI systems. To do this well, analytics needs access to valuable data. That makes analytics more than a measurement layer. It makes analytics part of your security perimeter.
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tricentis

Start your AI agent testing with deterministic tooling

Sep 15, 2026 By Eric Newcomer In Tricentis
By now everyone is aware of the limitations inherent in generative AI and the AI agents that use it to complete their tasks, and the challenges involved in getting them enterprise quality. If you are planning to incorporate AI agents into your enterprise IT architecture, how are you planning to validate their quality and accuracy?
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