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loadfocus

10 Load Testing Strategies to Optimize E-Commerce Website Performance in 2026

Sep 3, 2026 By Chris In LoadFocus
E-commerce platforms face unique performance challenges. Traffic patterns are volatile, with sudden surges during flash sales, promotions, or holidays. Relying on generic load testing – such as steady user simulations or basic server throughput checks – misses the mark. If your tests don’t mirror real shopping scenarios, you risk missing critical issues that can lead to lost revenue and damaged brand reputation during peak events.
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From IoT Data to AI-Ready: The Edge Solution

Sep 3, 2026 By Cloudera, Inc. In Cloudera
Is your data actually ready for AI? While companies rush to deploy machine learning models, 83% of executives realize that high-value, real-time data is trapped at the physical edge—on factory floors, inside hospitals, and at retail terminals. With billions of connected IoT devices, managing this data creates massive hidden headaches like security risks and pipeline blind spots. True AI readiness starts at the edge. Bridge the gap between your edge devices and your AI goals today.
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Best Hosting for Odoo: Backups, Uptime and Disaster Recovery

Best Hosting for Odoo: Backups, Uptime and Disaster Recovery

Sep 3, 2026 By SystemsDigest In SystemsDigest
Almost every Odoo host advertises backups. Very few will tell you when a restore was last tested, and those are completely different claims. The gap between them is where agencies get hurt. A backup that exists but has never been restored is not a backup. It is a file, and you find out which one it is on the worst possible day. Cloudpepper is Odoo hosting with automated backups and monitoring built for agencies running client systems, and on this particular criterion it is the strongest option available, for a structural reason covered in point seven below.
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speedscale

Test Behavior, Not Choreography

Sep 2, 2026 By Matt LeRay In Speedscale
The spy from post 4 is a sharp tool. Once a test can record every interaction, it is tempting to assert on all of them. The result looks thorough, but it is usually a transcript rather than a useful specification. This post takes a test written that way, makes a change that no customer could possibly notice, and watches the test fail anyway. This is part 5 of a ten-part series. The code is in Java, Node.js, Go and Python.
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speedscale

Make Failure Boring with Mocks

Sep 2, 2026 By Matt LeRay In Speedscale
Every codebase has a failure path nobody has run. Not through laziness, but because reproducing it requires a backend dependency to misbehave on cue. In the package notifier, the carrier must refuse, stall, or return nonsense at the exact moment the test runs. So the retry logic ships unverified and everyone hopes. The seam from post 2 already gives the test control. A seam is a place where you can change what code does without editing that code.
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speedscale

Did It Actually Send?

Sep 2, 2026 By Matt LeRay In Speedscale
The notifier has returned a message throughout this series, which made testing almost suspiciously easy. Assert on the return value and you are done. Real notifiers do more than build strings: they send them. Once a message goes to an email provider or SMS gateway, the function may return nothing useful. When that change lands, every existing test loses the value it asserted on. This is part 4 of a ten-part series. The code is in Java, Node.js, Go and Python.
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AI Changed Everything. Except What Matters.

Sep 2, 2026 By ThoughtSpot In ThoughtSpot
AI changed the process, but not what matters. In the latest episode of The Data & AI Chief, three authors explore what it takes to lead through the AI era, from scaling innovation to building AI-ready data foundations to keeping humans at the center. This episode features: Linda Hill, Harvard Business School Professor and author of Genius at Scale, on scaling innovation and leading through uncertainty.
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thoughtspot

Trust, Tested: What Consumers Really Think About AI in Retail

Sep 2, 2026 By Mayank Sinha In ThoughtSpot
Retailers are making heavy investments in AI. From interactive virtual shopping assistants to automated supply chain tools, the goal is simple: connect with buyers and drive growth. However, realizing real business value requires bridging a critical trust gap. So why did ThoughtSpot team up with YouGov to survey 4,833 adults across the US and the UK? It all comes back to trust.
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ably

Add resumable streaming and reliable tool calling to your OpenAI agent

Sep 2, 2026 By Fiona Corden In Ably
If you build an agent against OpenAI's Responses API then the simplest way to get output to the user is streaming over HTTP/SSE. If the user refreshes the page, loses connection, switches devices, or needs to approve a tool call, then there's nothing in the API to help you. AI Transport is Ably's session layer for agent-to-user conversations. An agent built on it gets resumable streams, multi-device sessions, and approval gates that wait for a human user, without deploying additional infrastructure.
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zymr

How AI Is Rebuilding the Insurance Claims Automation Lifecycle: The 2026 Guide

Sep 2, 2026 By Jay Kumbhani In Zymr
AI is restructuring how insurers run the claims lifecycle end to end from first notice of loss through payment and closure. This guide breaks down where AI insurance claims automation is delivering measurable results in 2026, the reference architecture behind it, and what insurers should prioritize first. Insurance claims automation 2026 connects AI, workflow orchestration, and core systems across the claims lifecycle the specific discipline behind Zymr’s own claims processing automation practice.
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