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datadog

Evaluating our AI Guard application to improve quality and control cost

Feb 23, 2026 By Santiago Mola In Datadog
This article is part of our series on how Datadog’s engineering teams use LLM Observability to build, monitor, and improve AI-powered systems. Organizations are building AI agents that help users automate work, analyze data, and interact with complex systems through natural language. As these agents become more capable, they also become more complex and exposed to risks such as prompt injection, data leaks, and unsafe code execution.
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harness

From Chef to Chief Architect: Navigating the Intersection of AI and Data Security | Harness Blog

Feb 23, 2026 By Dewan Ahmed In Harness
In the world of enterprise software, the transition from traditional DevOps to modern AI-driven delivery is less like a flip of a switch and more like a high-stakes kitchen. As Devan Shah, Chief Architect at IBM, puts it: the ingredients have changed from food to code, but the need for a precise, governed process remains the same.
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circleci

Getting started with Claude Code and CircleCI

Feb 23, 2026 By Roger Winter In CircleCI
AI-powered coding tools are changing how developers work. Tools like Claude Code can write functions, refactor code, and build features through natural conversation, often faster than you could type them yourself. But speed creates its own risks. AI-generated code can contain subtle bugs, reference packages that don’t exist, or misuse APIs in ways that only surface at runtime. That’s where continuous integration comes in. CI is a safety net that lets you move fast confidently.
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AI Assistant vs Skylar Advisor

Feb 23, 2026 By ScienceLogic In ScienceLogic
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.
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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

How LogicMonitor Delivers AI Cost Optimization

Feb 20, 2026 By Teia Jensen In LogicMonitor
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.
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