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circleci

Getting started with Gemini and CircleCI

Feb 23, 2026 By Roger Winter In 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.
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The path to self-healing: Re-architecting for massive scale on kubernetes

Feb 23, 2026 By Civo In Civo
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.
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Why Nexthink Intelligence Is a Game-Changer for IT Teams

Feb 23, 2026 By Nexthink In Nexthink
Nexthink Intelligence transforms digital employee experience (DEX) for modern enterprises. Learn how IT teams can leverage real-time analytics, proactive insights, and automation to improve user productivity, troubleshoot issues fast, and deliver better workplace tech experiences. Learn more at nexthink.com.
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coralogix

A 4-Month Bug Fixed in <10 Minutes with Olly

Feb 23, 2026 By Chris Cooney In Coralogix
In today’s highly interconnected systems, the subtle relationships between services are rarely obvious. Modern, complex architectures generate telemetry that functions less as “flashing signs” and more as faint “breadcrumbs” to be followed across a vast network of signals. In 2025, about two-thirds of outages involved third-party systems like cloud platforms and APIs.
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Trends Shaping Cross-Border Tech Recruitment in 2026

Trends Shaping Cross-Border Tech Recruitment in 2026

Feb 23, 2026 By OpsMatters In OpsMatters
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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fabrix

Cisco Live'26 - Amsterdam: Aligning with the AI-Driven Future

Feb 22, 2026 By Shailesh Manjrekar In Fabrix
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.
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Komodor

AI SRE in Practice: Accelerating Engineer Onboarding with Contextual Expertise

Feb 22, 2026 By Itiel Shwartz In Komodor
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.
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When Technology Failures Become Securities Litigation Risks

When Technology Failures Become Securities Litigation Risks

Feb 21, 2026 By OpsMatters In OpsMatters
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.
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logicmonitor

Cost Optimization for AI Workloads: From Visibility to Control

Feb 20, 2026 By Teia Jensen In LogicMonitor
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.
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