Operations | Monitoring | ITSM | DevOps | Cloud

How Cisco Revolutionized Platform Engineering with Komodor's Agentic AI

In the world of cloud-native infrastructure, complexity is the silent killer of innovation. For Cisco Outshift, the company’s incubation engine, managing a sprawling environment of AWS EKS clusters and edge-based MicroK8s workloads created a classic bottleneck: the Platform Engineering team was drowning in toil. Facing SRE burnout and the limits of human scaling, Cisco embarked on an ambitious journey to evolve its internal operations from standard DevOps to Agentic AI.

Intelligent Voice Agents: Transforming Operational Efficiency in Business Communication

Businesses today operate in an environment where customers expect immediate, personalised responses across all communication channels. Traditional phone systems and support teams often struggle to meet these demands without incurring significant costs or operational strain. As a result, intelligent voice agents - AI-powered systems designed to conduct natural conversations - are emerging as a strategic solution to drive operational efficiency and enhance customer engagement.

Why the 2026 Google Ads Specialist is Now an "AI Strategist"

The days of simply "picking the right keywords" are officially behind us. As we navigate 2026, the Google Ads interface has transformed from a tool of manual levers into a sophisticated AI powerhouse. For businesses, this means the role of a Google Ads Specialist has fundamentally shifted. They are no longer just "account managers"; they are data architects and AI co-pilots. If you're wondering why your old PPC strategies aren't hitting the same ROAS (Return on Ad Spend) targets, it's time to look at how the role of the specialist has evolved.
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Meet AlmaIQ: The AI Concierge Simplifying Employee Support

Almaden has exciting news to make life easier for enterprise employees: AlmaIQ . Unlike other virtual assistants that are complex to set up and maintain, AlmaIQ is simple. Acting like a "concierge" or personal assistant, it answers questions from computer issues to corporate processes, instantly and without complication in the user's native language.

AI is not intelligent. It's obedient.

Tech companies and brands love calling AI “intelligent.” But is it really? AI doesn’t decide what matters. Humans do. We decide what’s important, then feed prompts, data, and instructions into AI models so they work the way they do. At the end of the day, AI is obedient to human intelligence, not the other way around. And it’s on us to use it in ways that actually matter, instead of dismissing it or freaking out that it’s going to replace humans.

The 2026 IT Leader's Priority Shift: Why AI, Resilience, and Visibility Now Outrank Everything Else

IT leaders are replacing traditional focuses with three things that now outrank everything else: AI readiness, operational resilience, and unified visibility. You can’t add another priority to the list. There’s no space left. Your team is already stretched managing hybrid infrastructure, responding to incidents, juggling tool sprawl, and delivering on AI promises while keeping costs under control.

Getting Started with Seer - Sentry's AI Debugging Agent

Seer is Sentry's AI Debugging agent that has access to all the context that Sentry pulls together from your applications. Sometimes it shows up predicting bugs before they ship to prod. Sometimes it's catching issues in prod and bringing you the fix. Seer pulls from distributed traces, logs, profiles, stack traces, errors, and your codebase, and helps you find the broken parts of your application and fix them faster.

AI Is WAY More Expensive Than You Think... | SolarWinds TechPod #105

Artificial intelligence isn’t just about innovation and efficiency — it comes with hidden costs. From massive data centers and rising energy consumption to layoffs, governance, and long-term business impact, the real price of AI is often ignored. Companies rush to adopt AI, but are they calculating the true cost for the environment and their bottom line?

Optimize your CI/CD pipeline with CircleCI Chunk AI agent

A slow CI/CD pipeline costs more than just time. Developers context-switch while waiting for builds, feedback loops stretch longer, and compute costs add up with every inefficient run. Most teams know their pipelines could be faster, but optimizing configurations requires deep knowledge of caching strategies, parallelism, and resource allocation. The challenge compounds with AI-assisted development. As AI coding assistants help teams ship code faster, pipelines run more frequently.