Operations | Monitoring | ITSM | DevOps | Cloud

AI Assistant vs Skylar Advisor

What happens when AI understands your entire environment? With Skylar Advisor, you move beyond prompts and responses and get prioritized guidance based on real operational impact. Skylar Advisor identifies what matters most, explains why it matters, and provides clear next steps so even junior IT professionals can operate with confidence.

Getting started with Gemini and CircleCI

AI coding assistants like Gemini are changing how developers write code. They can generate entire functions, debug tricky issues, and help you move faster than ever before. But with that speed comes a new challenge: how do you make sure AI-generated code actually works? AI assistants are powerful, but they’re not perfect. They can introduce subtle bugs, miss edge cases, or generate code that breaks existing functionality. That’s where CI (continuous integration) comes in.

The path to self-healing: Re-architecting for massive scale on kubernetes

In the world of network assurance, even a few seconds of delay can result in significant business losses. In this session from Civo Navigate India, Dr. Shivananda R Poojara (Head of Cloud Business Unit, Airowire Networks) explains how his team dismantled a massive monolithic service stack and rebuilt it for a high-performance, cloud-native era in just 75 days.

Trends Shaping Cross-Border Tech Recruitment in 2026

Here's the reality: distributed engineering teams have moved from bold experiment to business-as-usual. The challenge? Hiring globally in 2026 has gotten messier than ever before. Compliance rules keep morphing beneath your feet. AI recruiting tools that promised to simplify your life have introduced surprising complications.
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Cisco Live'26 - Amsterdam: Aligning with the AI-Driven Future

The energy at Cisco Live EMEA in Amsterdam (February 9-13, 2026) was primarily driven by groundbreaking AI announcements, & the event provided Fabrix.ai an opportunity to strengthen our strategic position alongside Cisco and Splunk ecosystems. The event’s focus on AI, highlighted by the recent Cisco AI Summit, emphasizes a clear market direction in which Fabrix.ai is perfectly poised to accelerate innovation.

AI SRE in Practice: Accelerating Engineer Onboarding with Contextual Expertise

Onboarding new engineers to complex Kubernetes environments is expensive. Junior engineers need to learn cluster architecture, understand organizational conventions, navigate internal documentation, and build relationships with senior team members who can answer questions. The process takes weeks or months, and during that time, senior engineers spend significant time mentoring instead of working on complex problems.

When Technology Failures Become Securities Litigation Risks

When a company's systems crash or a breach hits, it often looks like lawsuits appear out of nowhere. The real issue is that even a single tech failure can shake customers, stall revenue, and erode investor confidence. Many businesses downplay risks they already know about, leaving shareholders feeling misled when problems explode publicly. That gap between internal awareness and external disclosure is exactly what opens the door to securities litigation, turning tech troubles into legal and financial fallout almost instantly.

Cost Optimization for AI Workloads: From Visibility to Control

ITOps teams can achieve cost management of AI workloads with an observability platform that connects AI usage and performance with cloud spend for clear visibility and predictability. Behind the buzz around artificial intelligence, or AI, many companies are discovering the hidden and compounding costs of AI adoption.

How LogicMonitor Delivers AI Cost Optimization

LogicMonitor delivers AI cost optimization by unifying infrastructure telemetry, AI-specific signals, and cloud financial data into a single workflow, so teams can move from visibility to continuous, operationalized cost control. In Cost Optimization for AI Workloads: From Visibility to Control, we explored why AI workloads introduce new layers of cost complexity—from GPU-heavy compute and token-based pricing to distributed infrastructure that obscures true spend.