Why Shift Left Matters in Modern Data Architecture
The shift left paradigm isn’t just a developer trend, it’s how Swedbank bakes in data governance, compliance, and security from the start.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Introducing ThoughtSpot's Agentic MCP Server
The AI agent revolution is transforming how we work, but most analytics platforms are stuck in the past—forcing you to context-switch between your agents and separate BI tools to get data insights. This fragmented approach creates friction, breaks workflows, and ultimately slows down decision-making. When speed matters most, you need your AI agents to seamlessly access and analyze enterprise data without the traditional barriers of maintaining custom integrations and limited API functionality.
ThoughtSpot Agentic MCP Server Demo
Unlock the full power of your AI agents! This demo shows you how easy it is to use ThoughtSpot's Agentic Model Context Protocol (MCP) Server to bring comprehensive, trusted analytics directly into your favorite AI platforms like Anthropic Claude, Google Gemini, and OpenAI ChatGPT. No more switching between tools! See how you can combine structured data analysis from your ThoughtSpot Models with insights from unstructured data, all through a single natural language prompt in Claude. You'll go from a question to an AI-augmented dashboard (ThoughtSpot Liveboard) in just a few minutes.
Solving ETL Challenges with Apache Kafka, Confluent Tableflow, and Zero ETL
Operational and analytical estates have been separated since data warehouses were first introduced in the 1990s. The operational estate includes microservices, software-as-a-service (SaaS) apps, and enterprise resource planning systems (ERPs) that have become the beating heart of an organization. The analytical estate consists of the data warehouses, lakehouses, artificial intelligence (AI)/machine learning (ML) platforms, and other custom batch workloads that support business analysis and reporting.
Beyond the cloud: Inside Bitrise's data center for faster mobile CI
In this webinar, Arpad Kun, VP of Infrastructure and Engineering at Bitrise, sat down with Solutions Architect Lex Zavala to reveal how our team addressed the pain points of traditional cloud-hosted CI and how Bitrise went all-in on a hybrid model—anchored in custom-built infrastructure. The Bitrise engineering team brought software and hardware together and built a vertically integrated, hybrid macOS/Linux private cloud in strategically located data centers to solve the biggest challenges of managing mobile CI/CD at scale.
AI is Reshaping Data Centers - Is it Time to Rethink Storage?
As artificial intelligence (AI) reshapes industries, it’s quietly revolutionizing the heart of IT: The data center. The explosive growth of AI workloads is driving up power usage, challenging cooling systems, and demanding a fundamental rethink of how we store and move data. In this new landscape, flash storage stands out – delivering the performance, efficiency, and scalability that AI needs to truly accelerate.
WWDC 2025: Apple's AI, Swift on Android & Liquid Glass
At the 2025 instalment of its WWDC event, Apple set out its long-term vision for how we think about platform strategy, AI integration and multi-device architecture. If you’re a CTO, staff engineer, or mobile lead, this wasn’t just a conference to watch, it was one to plan your entire roadmap around. What Apple revealed at this year’s WWDS will affect everything from your frontend stack to how your systems talk to hardware.
Bitrise Build Cache in Local Dev Env #BitriseChangelog
Bitrise Build Cache in Local Dev Env.
Testing AI for Bias: What We Have Learned
As organizations increasingly rely on AI to power their products and services, addressing bias is now a critical responsibility for quality and engineering leaders.
Introducing the Bijira AI Gateway: Next-Gen AI-Driven API Management
The API ecosystem is rapidly expanding into the world of AI. Enterprises are increasingly integrating generative AI services like OpenAI, Claude, and AWS Bedrock into their workflows, but face challenges with secure, governed, and scalable integrations. That’s why Bijira, WSO2’s AI-native API management SaaS platform, introduces AI Gateway support. This is a purpose-built solution to create, expose, and manage AI service integrations as first-class APIs.