Operations | Monitoring | ITSM | DevOps | Cloud

Expert Insight: Why Local Internet Traffic Matters More Than You Think

Expert Insight: Why Local Internet Traffic Matters More Than You Think

Feb 20, 2026 By Mike Hoy, CTO, Pulsant, and Mike Hellers, Product Development Manager, LINX In Pulsant
Imagine sending a letter to your neighbour across the street, only for it to be routed through London or even Amsterdam before landing in their letterbox. This is effectively what happens to much of Scotland's internet traffic. Despite physical proximity between users, businesses and services, digital data is frequently sent on needlessly long journeys, often leaving the country before reaching its destination. This approach is inefficient, costly and poses questions about privacy, resilience and digital sovereignty.
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selector

Event Intelligence is Replacing Monitoring - Here's Why That Matters

Feb 20, 2026 By Dallon Robinette In Selector
For more than two decades, monitoring has been the foundation of IT operations. Organizations invested heavily in tools designed to collect metrics, visualize performance, and trigger alerts when thresholds were breached. This model was effective in an era when infrastructure was largely static, workloads were predictable, and system dependencies were relatively easy to trace. That environment no longer exists.
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nexthink

The Hidden Operational Risk Financial Institutions Can No Longer Ignore

Feb 20, 2026 By Nexthink In Nexthink
Why digital experience is now a regulatory priority In regulated industries like financial services, even minor technology friction can quickly become a regulatory risk. Gaps in visibility, slow systems, and inconsistent performance can trigger audit findings, SLA breaches, and increased compliance scrutiny.
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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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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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onpage

Platform Engineering 101: What It Is, How It Differs from SRE and DevOps, & Why It Matters for Incident Response

Feb 20, 2026 By Ritika Bramhe In OnPage
Platform engineering has emerged as a response to the growing complexity of modern software delivery. As organizations adopt Kubernetes, microservices, CI/CD pipelines, and infrastructure as code, they are creating dedicated teams responsible for building and operating the internal platforms that power developer workflows.
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datadog

Identify untested code across every level of your codebase

Feb 20, 2026 By Eric Metaj In Datadog
As organizations scale their services and adopt AI-assisted coding, code changes are landing faster and in greater volume than ever before. While this powerful new practice is accelerating the pace of development, it is also increasing the likelihood that untested code may slip into repositories without detection. What makes this problem even worse is that most teams have no reliable way to know which code is covered by tests.
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cloudzero

Kubernetes Namespaces: What They Are, How They Work, And What They Don't Solve

Feb 20, 2026 By Lyne Carolyne In CloudZero
Using Kubernetes to manage containerized applications has its fair share of challenges. One of those challenges is managing complexity. Using namespaces can help minimize that complexity. Yet, a common misconception is that using multiple namespaces in a single Kubernetes cluster can degrade performance. Another issue: Kubernetes namespaces can reduce visibility into costs. There’s more to it than that.
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