Systems | Development | Analytics | API | Testing

From hours of Kafka troubleshooting to insights in minutes

You're three hours into debugging a stalled Kafka consumer. The lag is climbing. Customers are complaining. Your logging doesn't show anything useful, and changing the log level requires a deployment approval that won't come until tomorrow morning. Sound familiar? If you're operating Apache Kafka at scale, that sinking feeling when a consumer group stops progressing, and you're left playing detective with insufficient clues.

Agency Owners: Turn Your Databox Skills into Revenue #businessintelligence #agencylife

Already using Databox to understand your own business? Then it’s time to help your clients—and grow your bottom line. Solutions Partner Jeffrey Broger at JJB Industries breaks down why reselling Databox is a no-brainer for agencies: Monetize your BI skills Demonstrate more value Build a new revenue stream Join the Databox Partner Program.

The Future Is Already Here-And It's Agentic

Let me take you on a journey—not into some far-off sci-fi future, but into a tomorrow that’s just around the corner. Imagine this: you walk into your workplace and some of your “colleagues” are no longer human. They’re not robots in the traditional sense, but agents—autonomous software entities, each trained on vast datasets, equipped with decision-making power, and capable of performing economic, civic, and operational tasks at scale.

What's New in insightsoftware's LeaseAccelerator 25.2.1

Explore the latest enhancements in LeaseAccelerator version 25.2.1, including a redesigned navigation panel, updated menu structure, and UI improvements for a more intuitive experience. This short video highlights key changes that streamline workflows and improve usability across the platform.

Preventing Data Leakage in Gen AI Chatbots: What's Your Risk Appetite?

Chatbots are quickly becoming more sophisticated and integrated into business workflows, enhancing productivity and scalability. However, they also expand the attack surface for organizations. This new exploitation vector requires data engineers and security teams to incorporate various security guardrails when building their gen AI architecture. In this blog post, we discuss the risk of data leakage through AI chatbots.

Fresh Off the Jet: Insights from the Snowflake and Databricks Summits

After two weeks of immersion at the Databricks Data + AI Summit and Snowflake Summit, it’s clear that the pace of innovation is accelerating faster than ever. Both events showcased groundbreaking advancements in AI, data orchestration, and table formats, with Iceberg, catalogs, and hybrid customer personas emerging as the key themes. Below are some analysis on the trends shaping the modern data ecosystem.

The post-hype reality for developers

Devoxx Poland 2025 felt different. Not because of revolutionary new frameworks or another "this changes everything" moment, but because of what didn't happen. The conference had an unusual dose of pragmatism, skepticism, and – dare we say it – common sense. Maybe it's because developers are asking the right questions: "Does this solve a problem?" and "What happens when this inevitably breaks?" Here's what emerged from the sessions we watched, and the people we spoke to.

Turn AI Agents into Fully Integrated Team Members with Model Context Protocols | Demo

Want Your AI Agents to Work Seamlessly with Salesforce, Slack, or Any External System? In this video, our Associate Software Architect Humza Khatri, explains how Model Context Protocols (MCPs) make it easy to connect your AI agents with third-party tools and systems, transforming them into fully integrated and task-ready team members. With the Astera AI Agent Builder, your agents can now access and act on real-time data from external platforms such as Salesforce, HubSpot, Microsoft Teams, Slack, and even custom APIs through a simple no-code configuration.

How leading enterprises use Fivetran to break down SAP data barriers

As we explored in our previous post, SAP’s ecosystem makes it costly and complex to centralize data, especially when organizations need to blend SAP and non-SAP sources for unified analytics. Between restrictive licensing, limited compatibility, and constrained export options, SAP’s architecture often creates more roadblocks than results.