Agents Are Just Microservices With Memory
Multi-agent systems aren't new architecture—they're microservices evolved. Varun Jasti of AWS explains why Apache Kafka is the natural backbone for agent-to-agent communication at scale.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Create Without Limits with Perforce P4 Version Control
From semiconductor fabs to AAA game studios, Perforce P4 is the version control platform behind the world's most ambitious creative and engineering work. Global industry leaders, including NVIDIA, Samsung, DNEG, Nickelodeon, Sandfall Interactive, Warhorse, and BMW use Perforce P4 to collaborate without boundaries, protect critical IP, and build things the rest of the world relies on. P4 is the version control foundation for.
Choosing the Right Data Protection Approach for Your Non-Prod Environments | Full Webinar
Dive into the pros and cons of data masking and synthetic data generation, with real-world examples and practical use cases. In this webinar, Perforce Delphix experts Ilker Taskaya and Hims Pawar show you how to select the right approach based on your specific needs, compliance requirements, and data accessibility challenges.
Core Design Primitive of Apache Iceberg #Cloudera #short #techshort
In this video, Dipankar breaks down how Apache Iceberg works under the hood - starting from the limitations of Hive-style tables to why Iceberg was built in the first place. What you’ll learn: The shift from directory-based to metadata-driven architecture. How Iceberg tracks files on S3/Object Storage. Why abstraction is the key to scaling your data platform.
Why Cloudera AI is the Key to Solving Your Data Readiness and AI Project Backlog
Stop your AI projects from being abandoned due to a lack of data readiness. Cloudera AI provides the tools to secure, govern, and prepare your data for production, no matter where it lives. Turbocharge your AI journey today. Contact your Cloudera representative to learn more. *Read More:* Check out our blog post on solving the AI backlog.
Q&A: Changing the game for creators: how Substack doubled mobile build speed with Bitrise
When Substack first launched in 2017, the company set out to give writers a better business model, built on subscriptions and direct relationships with readers. Since then, Substack has expanded into multi-format publishing across text, audio, and video, while building powerful tools for community and discovery, for creators, writers, and thinkers of all kinds.
The 16 Best Automation Testing Tools to Use in 2026
The automation testing landscape looks different in 2026. AI-powered tools are changing how teams build and maintain test suites, frameworks like Playwright have overtaken older tools in developer popularity, and no-code platforms have made quality testing accessible to teams without dedicated QA engineers. Choosing the right tool depends on your technical skill level, what you’re testing, how much you want to pay, and how much ongoing maintenance you can handle.
Dealing With Fire: Building Your QA Crisis Management Strategy (Part 4)
Quality crises happen. A hotfix derails another feature. A third-party service breaks your checkout flow. A bug slips through, and your inbox lights up. The question isn't if but when.
ClearML Enterprise v3.29: Fine-grained Control for Enterprise AI Teams
ClearML Enterprise v3.29 builds on the governance and infrastructure foundations introduced in recent releases. This update focuses on giving administrators and AI teams more granular control over resource allocation, gateway access, and pipeline management while delivering a meaningful set of UI quality improvements across the platform.
How AI is Transforming SME Lending
For decades, SME lending has lived in a strange space. On one hand, small and medium enterprises are the backbone of every economy. They drive employment, fuel innovation, and keep local markets alive. On the other hand, getting access to credit has always been frustratingly difficult for them. Why? Because traditional lending systems were never designed for them. Banks relied heavily on collateral, long credit histories, and static financial statements.