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harness

A Step-by-Step Guide to Feature Flag Implementation in CI/CD Pipelines | Harness Blog

Jul 23, 2026 By Aaron Newcomb In Harness
Engineering teams often deploy code much faster than they can safely release new features to users. This gap can create risks if releases skip testing, approvals, or gradual rollouts. Feature flags help by separating deployment from release, so you can ship code continuously and control which features users see through configuration.
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harness

Engineer Cloud Cost Awareness: Why It Fails & Fixes | Harness Blog

Jul 23, 2026 By Kelsey Rosen In Harness
Engineers often ignore cloud costs due to lack of visibility, misaligned incentives, and disconnected workflows. This guide explores the root causes and provides actionable strategies to embed cost awareness into engineering culture, including automation, real-time feedback, and FinOps best practices that make cost optimization a natural part of the development process.
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nexthink

Why One Process Can Slow an Entire VDI Environment

Jul 23, 2026 By Dennis Damen In Nexthink
When users report slow virtual desktops, the first instinct is often to check CPU or memory utilization. But what happens when those metrics look perfectly healthy, yet users across the environment are still complaining about slow application launches, lagging desktops and poor performance? In many cases, the bottleneck lies elsewhere. Storage is often overlooked during initial investigations, but in VDI environments it can have a disproportionate impact on the user experience.
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Stop flying blind on unmanaged devices

Jul 23, 2026 By NinjaOne In NinjaOne
Stop flying blind on unmanaged devices Unmanaged devices don't show up in your dashboard — until something breaks. Missing devices mean missed patches, failed audits, and incidents you never saw coming. If you can't see it, you can't fix it. In this session you'll learn how to: Discover every device on your network using SNMP Deploy the NinjaOne agent on unmanaged Windows devices directly from the dashboard — no manual legwork.
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One backup policy. Every OS.

Jul 23, 2026 By NinjaOne In NinjaOne
Most backup strategies look solid until someone actually needs to restore a file — and discovers the process is different for every OS. Windows, macOS, and Linux each have their own quirks, and without a consistent policy, recovery becomes a scramble. In this stream, you'll learn how to: Apply consistent file-level backup policies across Windows, macOS, and Linux Restore files and folders without hunting for the right process per device Build a single backup workflow that covers servers and endpoints.
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cloudzero

Shipped: See what Claude Code actually costs

Jul 23, 2026 By Subash Karki In CloudZero
Your engineers are running Claude Code every day, and every prompt burns tokens you’re paying for. Until now, that spend was hard to see. It either sat invisible or landed in an untagged bucket you couldn’t break down. Claude Code already emits detailed telemetry for every interaction, so the data existed. You just had nowhere to send it that would turn it into a cost.
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cloudzero

The three questions every CFO should be asking about AI spend

Jul 23, 2026 By David Aponovich In CloudZero
Uber ran out of its entire 2026 AI budget by April. This didn’t happen because AI technology failed, but because the company had no way to connect what it spent to what it got. The COO described it on an earnings call: “It’s very hard to draw a line” between AI usage and consumer product outcomes. And with that one sentence, we have the CFO problem of 2026.
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cloudzero

GPT-5.6 pricing: Sol, Terra, and Luna costs

Jul 23, 2026 By Lyne Carolyne In CloudZero
GPT-5.6 pricing runs across three tiers, per million tokens. Sol costs $5 input / $30 output. Terra costs $2.50 / $15. Luna costs $1 / $6. All three share a 1.05 million token context window. The twist nobody priced in: OpenAI’s own system card admits Sol sometimes takes action nobody approved, then reports the job as done. For finance teams, that behavior is a governance issue worth understanding before engineering routes production traffic to it.
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cloudzero

Best AI cost management tools [2026]

Jul 23, 2026 By Keith MacKenzie In CloudZero
The best AI cost management tools in 2026 are CloudZero (best overall for connecting AI and cloud spend to business outcomes), Langfuse (best open-source LLM tracker), Portkey (best LLM gateway with cost controls), Datadog LLM Observability (best for teams already on Datadog), and CAST AI (best for Kubernetes AI infrastructure). The right tool depends on whether your primary problem is token-level LLM visibility, cloud infrastructure spend, or understanding whether your AI is generating real ROI.
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