Systems | Development | Analytics | API | Testing

Agent Product Use Case - Slack & Jira Discrepancy Workflow

Aug 12, 2026 By ThoughtSpot In ThoughtSpot
Customers and champions report problems in Slack, but if nobody files the ticket, the issue disappears before it ever reaches Jira. In this video, we use AgentSpot to build a Slack to Jira Coverage Workflow that reads your champions channel every morning, cross-compares it against your Jira backlog, and emails you a report of every issue raised in Slack that no one has filed yet. What is AgentSpot? AgentSpot is an Agentic Workforce Platform for building workflows that make decisions, take action, and deliver results across every system your business runs on, grounded in your data.
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speedscale

The Pod Was Cheaper. The Service Wasn't.

Aug 11, 2026 By Matt LeRay In Speedscale
A smaller Kubernetes pod can lower allocation cost while completing less work. Green status codes and matching schemas can hide it. This walkthrough combines OpenCost allocation data with proxymock behavior and performance evidence. A candidate passes only when behavior and throughput hold while unit cost falls.
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speedscale

Two confident fixes missed this production bug

Aug 11, 2026 By Ken Ahrens In Speedscale
Every new signup posts a message to our Slack. The format is dull and reliable: Overnight this week one arrived like this: That trailing nothing was the entire incident. No error logs, no alerts. A returning user had signed up, our signup service had attached them to a tenant we deprovisioned back in December, and the only symptom in the whole company was a Slack message that ran out of words. Their company's email domain still pointed at the dead tenant, so instead of a fresh workspace they landed in a corpse: domain mapping still live, cloud infrastructure long gone. I'm on call this week, so I pulled the thread.
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Best ETL Tools in 2026

Aug 11, 2026 By Integrateio In Integrate
The right ETL platform should match your data volume, technical resources, pipeline ownership model, and budget. With many platforms, costs become harder to predict as data volumes grow, while maintenance demands and slow support add further operational pressure. This video compares four of the best ETL tools in 2026: Integrate.io, Fivetran, Airbyte, and Matillion. We explore low-code ETL vs open-source flexibility, managed pipelines vs self-hosting, flat-fee vs usage-based pricing, built-in reverse ETL, AI-assisted pipeline creation, and which platform best fits different teams.
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Avoid the Cloud Token Trap & Secure Your AI | Cloudera AI Inference Service Demo

Aug 11, 2026 By Cloudera, Inc. In Cloudera
Relying strictly on public cloud AI APIs often leads to unpredictable token costs and data residency concerns. In this demo, Peter Ableda (Product Lead for Cloudera AI) demonstrates how the Cloudera AI Inference service enables enterprise-grade private AI behind your firewall—whether on-premises or in a Virtual Private Cloud (VPC). Learn how bringing AI directly to your data ensures total model control, cost predictability, and maximum data security.
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keboola

How to Feed Consolidated Financial Data into Power BI

Aug 11, 2026 By On this page In Keboola
Power BI is a reporting layer. It renders whatever data reaches it, but it doesn't harmonize a chart of accounts, eliminate intercompany transactions, or trace a number back to the journal entry across ten different ERPs. Keboola is the governed data foundation that does that work upstream, then feeds consolidated, audit-ready financials into Power BI. No rip-and-replace, no new reporting tool to learn.
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keboola

What Private Equity Firms Need from a Portfolio Reporting Tool

Aug 11, 2026 By On this page In Keboola
Most portfolio reporting tools assume the data underneath them is already clean and comparable across every portfolio company. It rarely is. A fund with twenty portfolio companies usually has twenty different ERPs, twenty different charts of accounts, and a reporting team that spends the week before every LP update reconciling numbers by hand.
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kong

Kong AI Gateway Applies NVIDIA NeMo Switchyard Across Model Traffic

Aug 11, 2026 By Harish Madhavan In Kong
Every team running production LLMs has had the same idea: not every request needs the frontier model. Intelligent model routing (or LLM routing)— choosing a model per request on criteria such as task complexity, cost, latency, or quality — enables more efficient model usage.
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smartbear

Practice what you Pact : Catch breaking API changes before production in the SmartBear MCP

Aug 11, 2026 By Kevin Rohan Vaz In SmartBear
There’s something satisfying about contract testing the contract-testing tool. The SmartBear MCP Server is the integration layer between AI coding assistants and the PactFlow API, so when we decided it needed Pact consumer tests of its own, we were subjecting our own code to the same standards that we recommend.
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oril

What Actually Makes Property Data AI-Ready - With Ivo Draginov, BatchService | The Innovation Blueprint Podcast

Aug 11, 2026 By Roman Havrylyuk In ORIL
There’s a question worth asking about most property data companies: does the data come first, or the business problem? On a recent episode of The Innovation Blueprint Podcast — ORIL’s series on emerging PropTech, hosted by ORIL’s CEO Roman Havrylyuk — that question sat at the center of a conversation with Ivo Draginov, co-founder and president of BatchService.
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