Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
What is agentic AI? (explained in 60 seconds)
Agentic AI is the next evolution of artificial intelligence. Unlike traditional AI, it can act autonomously and make decisions on its own. Here’s what that actually means, without the hype. Additional Resources: About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.
AI SRE in Practice: Tracing Policy Changes to Widespread Pod Failures
Policy changes in Kubernetes are supposed to improve security, enforce standards, or optimize resource usage. But when a policy change triggers cascading pod failures across multiple namespaces, the investigation becomes a race to identify what changed before more workloads are affected.
The rise of the agentic future: scaling AI workflows with relaxAI and n8n
This blog is based on the webinar, “From idea to agent: Building AI workflows with relaxAI and n8n”. You can watch the full recording by clicking here! AI isn’t slowing down. We’re moving from “ask a chatbot” to agents that run the multi-step workflows, use tools, and are built for real business processes. Most teams aren’t blocked by ideas. They’re blocked by three things: complexity, cost, and control.
AI Vendor Lock-In: How AI Is Creating A New Dependency Problem
Like most SaaS companies, you’re under pressure to ship AI-powered features faster, smarter, and at scale. For many teams, that pressure leads to relying on external AI platforms, managed models, and third-party APIs instead of building everything from scratch in-house. At first, it feels like a win. Your team ships an AI-powered feature in weeks instead of months. No GPU clusters to manage. No models to train. No infrastructure to babysit.
How To Cut Your LLM Costs for Startups (Without Slowing Product)
In February 2026, most startups don't "adopt AI" in a neat, planned way. LLM usage spikes the week you ship a new feature, add an agent, or connect tools. Budgets don't spike with it. The good news is that the biggest savings usually come from smarter routing, caching, and workload design, not from ripping out your stack or rewriting everything.
Which AI-Assisted Coding Teams to Choose for Your 2026 App
A few years ago, AI-assisted coding seemed optional; in 2026, this technology has become standard operating procedure. Your team now likely leverages AI tools for software development as often as they utilize unit tests and Git, multiple times in a day.
CX Trends 2026: How AI Reads Emotions, and Why 92% Still Want Humans When Things Go Wrong
By 2029, AI will autonomously handle 80% of customer interactions. That leaves your human agents handling only the remaining 20% the complex, emotionally charged moments that determine whether customers stay or leave. You're building a Ferrari for highway driving while your emergency braking system still relies on hope and 2019 escalation protocols.
DraftOut: Bypassing AI Detection in Modern Academia
Students today often face the pressure of producing high-quality academic writing quickly. They want speed, efficiency, and clear results, but many AI-generated drafts are immediately flagged by detection tools like Turnitin safety or bypass GPTZero. These detectors are designed to identify repetitive patterns, formulaic phrasing, and lack of nuanced reasoning, common in generic AI outputs.