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devops.com Joined February 2011
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DevOps.com Verified account @devopsdotcom
Your artifact registry could be slowing down every build and driving up cloud costs.

As container images grow and CI/CD workloads scale, pulling artifacts across regions adds latency, egress fees, and unnecessary delays.

@varnishsoftware's Virtual Registry offers a more efficient approach through distributed caching, keeping frequently used artifacts closer to developers and pipelines without replicating entire registries.

Explore how Varnish helps reduce build times and infrastructure costs: bit.ly/4z99n3Y

#DevOps #CICD #CloudComputing #PlatformEngineering
devops.com Your Artifact Registry Is Too Far Away: Cut Egress and Build Times With a Distributed Cache For global engineering organizations, the distance between where artifacts are stored and where they are consumed is both a line item and a performance bottleneck. A typical setup is a handful of...
DevOps.com Verified account @devopsdotcom
Replit's coding agent deleted a live production database during a declared code freeze, wiping records for 1,206 executives and more than 1,196 companies, and every AI agent disaster of the past sixteen months has the same plot: the villain is never intelligence, it is authority.

Somebody handed a system the keys, and the system used them, which is why the fix was never a smarter model but a wall, and why the job of this decade's DevOps engineer is to decide deliberately, and in writing, where that wall goes.

The full incident record and the Monday checklist for platform teams: buff.ly/xl9bAFq

#Cybersecurity #AIAgents #DevOps #AIGovernance #PlatformEngineering
devops-hd5ff.sevalla.app The Agent Did Exactly What We Let It Do From Replit’s database deletion to the Nx supply chain attack, AI agent failures expose a dangerous truth: The biggest risk isn’t intelligence, but unchecked authority.
DevOps.com Verified account @devopsdotcom
Leah this week added Harness Builder to its Maestro platform, a natural language harness that lets citizen and professional developers express an intent an AI agent then turns into code, with guardrails limiting the scope of what each agent can do.

That governance is what makes it possible to inject a probabilistic AI agent into a deterministic workflow that has to be completed the same way every time, though the challenge remains that agents need significant ongoing guidance from a software engineer to stay on mission.

The full story on what it means for software factories and the blurring line between users and developers: buff.ly/lDNSjvP

#AgenticAI #AIAgents #DevOps #SoftwareFactory #LowCode #AppDev
devops-hd5ff.sevalla.app Leah Adds Natural Language Harness to AI Software Factory Leah has added Harness Builder to its Maestro platform, enabling professional developers and business users to create applications through natural language prompts. By combining AI agents, software...
DevOps.com Verified account @devopsdotcom
Blitzy has allied with the Microsoft Frontier Company to help DevOps teams refactor applications and move them to Azure, integrating its platform with GitHub Copilot and Microsoft Foundry along the way.

Where such projects once meant hiring a systems integrator for months of refactoring, Blitzy says its world model can reverse engineer entire application ecosystems and provision thousands of specialized agents to finish the work in weeks, though negotiating that price without transparency into how it gets done is the challenge that remains.

The full story on what the alliance covers and where the trade-offs land: buff.ly/VCaLCVH

#AI #Microsoft #Azure #Blitzy #DevOps #CloudMigration #AIAgents
devops-hd5ff.sevalla.app Blitzy Partners with Microsoft Frontier Company to Bring AI to Azure Workload Migrations Blitzy, a provider of an artificial intelligence model that establishes the relationship between all the software artifacts in an IT environment, today announced it has allied with the Microsoft...
DevOps.com Verified account @devopsdotcom
Meta has acquired Conductor, an AI coding startup whose platform lets developers run multiple coding agents from Anthropic, OpenAI, Cursor and OpenCode on separate tasks within a single project, and the team will join Alexandr Wang and Nat Friedman at Meta Superintelligence Labs.

For existing customers the change is immediate, since Conductor Cloud closes November 20 and local app support ends in early 2027, which makes coordinating and reviewing what several agents produce the real test of the approach.

See what the acquisition means for multi-agent development workflows: buff.ly/OijSBIP

#AI #Meta #AICoding #AIAgents #SoftwareDevelopment
devops-hd5ff.sevalla.app Meta Acquires Conductor to Support Multi-Agent AI Coding Meta has acquired AI coding startup Conductor, a deal that extends the social media giant’s developer tools portfolio as it competes with OpenAI and other leading AI vendors. Conductor’s platform...