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harness

Google Cloud Next '26 Recap: AI, Efficiency, and the Rise of Frictionless Delivery | Harness Blog

May 1, 2026 By Chinmay Gaikwad In Harness
‍Summary: Google Cloud Next ’26 focused on the future of software delivery, emphasizing that AI, platform consolidation, and an urgent push toward efficiency are reshaping the Software Development Life Cycle (SDLC). The key takeaway from the event was that organizations are moving from AI experimentation to operationalization, actively consolidating fragmented tools onto end-to-end platforms that embed AI for control, intelligence, and speed. ‍
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harness

Get Ship Done: Everything We Shipped in April 2026 | Harness Blog

May 1, 2026 By Chinmay Gaikwad In Harness
It’s becoming increasingly clear that AI-generated code can create real challenges once it reaches production. At Harness, we’ve been focused on innovating fast and solving those problems, so teams can move quickly without sacrificing reliability. In the past 30 days, we delivered 70+ new features.
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civo

ISO 27001, G-Cloud and SOC 2: How to vet a sovereign cloud provider

May 1, 2026 By Civo Team In Civo
A procurement officer at a mid-sized financial services firm spent six months last year negotiating with a cloud provider that turned out not to hold the certification it had implied in its sales deck. The contract collapsed during legal review. The firm lost the time, the provider lost the deal, and somewhere in the middle, a senior engineer learned the difference between "compliant with the principles of" and "audited to the standard of.".
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Resolve Webinar: Introducing AgentLab: The Foundation of the Autonomous Service Desk

May 1, 2026 By Resolve In Resolve
Most service desks still operate across fragmented systems. A single ticket can touch 4–7 tools, often more, slowing resolution and increasing cost. Copilots suggest. Traditional automation executes fixed paths. Neither closes the loop. AgentLab changes that. In this webinar, we introduce a new model built on agentic AI and orchestration. One where AI agents don’t just assist. They act, adapt, and resolve.
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haproxy

How Criteo handles 23M requests per second (RPS) with HAProxy Runtime API automation

May 1, 2026 By Daniel Skrba In HAProxy
Criteo handles 23 million requests per second (RPS) while maintaining peak performance and minimizing downtime. For most organizations, handling that level of traffic is just a theoretical stress test — a what-if scenario should their infrastructure ever be overwhelmed by an unexpected wave of requests. But for Criteo, 23 million RPS is just another Tuesday.
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cloudzero

Google Cloud Storage Pricing: The No BS Guide To GCP Storage Costs [2026]

May 1, 2026 By CloudZero Team In CloudZero
This straightforward guide will help you understand GCP storage pricing without the jargon. Understanding where your cloud spend goes enables you to pinpoint who, why, and what drives your cloud costs. This visibility supports informed decisions about reducing unnecessary spend or increasing investment in high-return areas.
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Komodor

Rightsizing Nightmares: When Your Cloud Cost Tool Degrades Performance

Apr 30, 2026 By Ilan Adler In Komodor
This is what production teams see happening. A vertical pod autoscaler recommendation gets applied automatically. Resource requests come down a notch across a namespace. The cost dashboard registers a small cost savings win. A few minutes later, health checks start failing. Pods enter crash loops.
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DORA Metrics in the AI Era: Why Deployment Isn't Faster

Apr 30, 2026 By GitKraken In GitKraken
DORA metrics in the AI era reveal a paradox: PR volume is climbing, but deployment frequency is staying flat. In this talk, GitKraken's Director of Product Jeff Schinella breaks down why AI-accelerated code generation is creating a review bottleneck that your DORA metrics can't fully explain on their own. Jeff walks through how PR metrics (cycle time, first response time, code churn, and PR size) serve as the leading indicators behind your DORA data. If your deployment frequency is flat while PR counts go up, the bottleneck isn't your devs. It's your review capacity.
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