Operations | Monitoring | ITSM | DevOps | Cloud

Accelerating SIEM Migration with AI-Native Data Pipelines

Security teams are increasingly realizing that yesterday’s SIEMs weren’t built for today’s world. Legacy platforms were designed for static, on-prem environments where data sources were relatively predictable and volumes were manageable. But the shift to cloud, SaaS, and dynamic workloads has completely changed the equation. Cloud-friendly, flexible, and cost-conscious SIEMs are now table stakes.

How GenAI Is Empowering Elastic Workforce

With over 10,000 questions answered and a 99% satisfaction rate in just 90 days, ElasticGPT, our internal generative AI assistant built on Elastic’s Search AI Platform, is transforming how our teams find information, make decisions, and complete day-to-day tasks. Matt Minetola, CIO, explains how ElasticGPT helps employees access company knowledge faster using natural language queries. Learn how we’re using retrieval augmented generation (RAG) and a secure, scalable architecture to deliver trusted, real-time AI experiences across the organization.

Resolve + Espressive: Accelerating Zero Ticket IT with Agentic AI and Automation

Traditional IT operations are struggling under the weight of manual processes, growing complexity, and escalating expectations for employee experience. Without agentic AI driven by an intelligent orchestration engine, organizations risk falling behind. That’s why Resolve and Espressive have joined forces. Together, we’ll deliver the industry’s most advanced AI agents for enterprises, combining conversational intelligence with powerful automation to eliminate tickets end-to-end.

Deploying a multimodal RAG application with Gemma 3 and CircleCI on GKE

Retrieval-Augmented Generation (RAG) has transformed how applications interact with Large Language Models (LLMs). RAGs ground LLM responses in external knowledge, improves accuracy, and reduces hallucinations. But traditional RAG systems have a significant limitation: they only process text. Multimodal RAG addresses this limitation by processing and understanding multiple data types (text, images, and potentially audio).

Streamline Software Delivery Right From Your IDE with Amazon Kiro and Harness

The integration of Amazon Kiro and Harness’s MCP server enables developers to manage, troubleshoot, and optimize CI/CD pipelines directly from their IDE using natural language, dramatically reducing manual effort and accelerating software delivery from code generation to production.

Harness Acquires Qwiet AI to Power Its Application Security for the AI Era

Harness acquires Qwiet AI to power application security in the AI era, embedding reachability analysis to cut noise and prioritize real risks. By Sanjay Nagaraj, SVP Global Engineering, Harness; Co-founder and CTO, Traceable by Harness Today, I am excited to share that Harness has acquired Qwiet AI (formerly ShiftLeft), a leader in agentic AI-powered vulnerability detection and reachability analysis.

What is AI-Native Monitoring? The Complete Guide for Developers

Before we talk about AI-native monitoring, let’s take a quick step back to make sure everyone is on the same page. In software engineering, monitoring is the continuous collection and analysis of data about a system’s health, performance, and behavior. Tools like Scout Monitoring, Datadog, and New Relic traditionally track server uptime, request latency, error rates, and database performance.

Transforming Customer Experience with Smarter AI Tools

Customer expectations for speed, personalization, and accuracy have never been higher. In a digital-first world, companies must deliver support that is both efficient and empathetic. Automation is no longer a luxury but a strategic necessity. Two technologies stand out in this transformation: systems that learn and reason like humans and digital agents that handle front-line interactions.

UnAiMyText: Transform Your AI Content Into Human-Like Text Effortlessly

Artificial intelligence has revolutionized the way we create content. From blog posts and marketing copy to social media updates, AI-generated text is now a go-to tool for writers, marketers, and businesses looking to scale content production. However, while AI can produce content quickly, it often comes across as robotic, repetitive, or lacking in emotional depth. This is where the need to make AI text sound human comes in.