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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Cloud Strategy for 2026: the Year of Repatriation, Resilience, and Regional Rebalancing

Jan 10, 2026 By Pulsant In Pulsant

This year is set to be a pivotal year for cloud strategy, with repatriation gaining momentum due to shifting legislative, geopolitical, and technological pressures. This trend has accelerated, with a growing focus on data sovereignty. These challenges have set the stage for 2026 to be the year of repatriation, resilience, and regional rebalancing. Here, Rob Coupland, Chief Executive Officer at Pulsant, offers his insights.

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Public cloud or private cloud for AI?

Jan 10, 2026 By Canonical Ubuntu In Canonical

Run your AI workloads like a boss ᕕ( ᐛ )ᕗ.

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Speedscale vs. LocalStack for Realistic Mocks

Jan 9, 2026 By Damaso Sanoja In Speedscale

API mocking plays a crucial role in modern software development allowing developers to simulate external API endpoints. It’s an effective way to isolate your application for testing and ensure that code changes don’t inadvertently break critical dependencies. Essentially, API mocking helps you create robust, reliable software by allowing you to test how your application interacts with external services.

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How to Do Full-Text Search Across All Application Traffic with Speedscale

Jan 9, 2026 By Matthew LeRay In Speedscale

Modern DevOps observability tools are excellent for monitoring system health, tracking distributed traces, and aggregating metrics. However, they lack the fidelity needed for full-text search across application traffic. While observability platforms excel at showing what happened and when, they often fall short when you need to find where a specific piece of data (like an email address, user ID, or transaction token) appears as it flows through your entire application stack.

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AI coding assistants are only as good as the context you give them

Jan 9, 2026 By Upsun In Upsun

AI coding assistants have quickly become part of everyday development. Teams now rely on them to explain unfamiliar code, suggest configuration files, debug errors, and accelerate delivery across the stack. But as these tools move from experimentation into real production workflows, a consistent pattern is emerging: AI breaks down at the platform boundary.

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Harness | Docker Artifact Registry | How to Push and Pull Images

Jan 9, 2026 By Harness In Harness

This video provides a clear and practical walkthrough of the Harness Artifact Registry, demonstrating how to work with Docker images in a secure and reliable manner. You will see the complete flow of pushing images into the registry and pulling them back for builds, deployments, and platform workflows. The goal is to help developers and platform engineers understand how the registry fits into everyday delivery pipelines.

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Optimizing DCI for AI Growth: All Roads Lead to Managed Optical Fiber Networks

Jan 9, 2026 By Mitch Simcoe In Ribbon

The accelerating demand for artificial intelligence and cloud-based applications is fundamentally altering how organizations approach physical infrastructure. As data center construction shifts toward rural geographies in search of affordable power and real estate, the connectivity binding these facilities together has become a critical bottleneck. Network architects and CIOs are currently facing a complex decision matrix regarding Data Center Interconnect (DCI) deployment.

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Budget Variance In The Cloud Era: Here's How To Turn Surprises Into Business Value

Jan 9, 2026 By Lyne Carolyne In CloudZero

In the traditional finance world, budget variance was a static comparison between actual and budgeted spend. But in the cloud era, where costs scale with usage, experimentation, and engineering decisions, variance tells a much richer story. Done right, budget variance helps you distinguish between healthy growth and margin erosion. It can signal strong feature adoption, rising customer demand, or successful launches. It can also reveal waste, inefficiencies, and weak cost controls.

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Is Kubernetes actually HARD? #speedscale #kubernetes #k8s #devops #cloudnative

Jan 9, 2026 By Speedscale In Speedscale

Thinking about learning Kubernetes in 2026? You’ll need GitOps, kubectl, and CI/CD pipelines... OR you can just use Speedscale. See how a single operator replaces a million dependencies and gives you the traffic insights you actually need to survive production.

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Kubernetes is Hard. Here is the "Easy Mode" for 2026

Jan 9, 2026 By Speedscale In Speedscale

Is Kubernetes actually hard, or are we just using the wrong tools? In 2026, the Kubernetes ecosystem has become a "dependency jungle." Between GitOps, YAML configuration, kubectl mastery, and complex CI/CD pipelines, developers are spending more time managing infrastructure than writing code. In this video, Ken breaks down the "hard parts" of K8s and introduces a more efficient workflow using Speedscale. Learn how to gain instant visibility into your cluster, pull logs without the headache, and turn real-world traffic into actionable load tests.

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