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

Are AI Coding Agents the New CI Bottleneck?

AI coding agents are moving the software bottleneck from writing code to validating it. Here’s what that means for CI infrastructure, capacity planning, and software quality. This topic is explored in more detail in “CI Can’t Keep Up With AI,” an episode of Uplink, where Aditya “JP” Jayaprakash, Co-founder and CEO of Blacksmith, discusses how AI coding agents are reshaping CI and software delivery. Table of Contents.

Redgate Monitor's Product Updates - August 2026

This month, we wanted to spotlight some of the new cloud features that shipped last month and are enabling teams to keep pace with database estates that increasingly span multiple platforms and providers. We also have updates for Monitor Enterprise users that improve alerting for permission changes. Here's what's new in Monitor.

Kubernetes GPU Scheduling for MLOps and GPU Sharing

The default Kubernetes scheduler was built for stateless services: web servers, APIs, databases. It schedules a pod, checks that a node has enough of whatever resources were requested, and binds it. For CPU and memory, that model works fine. For GPUs, it falls apart in three specific ways. First, GPUs are treated as an opaque integer resource.

Best IT Orchestration Tools for ITSM: 5 Platforms Compared

What are the best IT orchestration tools for ITSM? Compare Resolve, ServiceNow, PagerDuty, BigPanda, and Splunk ITSI across workflow automation, governance, integrations, alert correlation, incident response, and enterprise scalability. In this video, you’ll learn: These platforms are not identical. Resolve focuses on orchestrating workflows across systems. ServiceNow centers automation around ticketing and CMDB governance. PagerDuty specializes in incident response. BigPanda focuses on event correlation and triage, while Splunk ITSI provides service intelligence and event analytics.

GPU Cloud for non-AI workloads: Rendering, simulation, and scientific computing

The GPU cloud conversation over the last three years has been almost entirely captured by AI. Marketing pages talk about training, inference, and foundation models. Vendor announcements focus on which NVIDIA card fits which LLM. Reference customers are AI companies. The infrastructure decisions being made in the market are shaped by AI's specific requirements - high VRAM, fast interconnect, FP8 support, continuous utilization patterns.

Claude Code + Harness | Software Delivery for the Agent Era

Claude Code changes how fast software gets written. Harness changes whether you can trust what shipped. In this video, watch how autonomous AI agents handle end-to-end bug fixing, security remediation, and deployment verification—all within an automated Harness pipeline. From reading a ticket to running canary deployments and self-healing broken manifests, see how engineering teams can deliver software faster without sacrificing quality or security.

What Is Coherent Optics?

Coherent optics is an advanced optical transmission technology that uses the modulation of light amplitude and phase, combined with digital signal processing, to transmit massive amounts of data over existing fiber optic cables, dramatically increasing network capacity by maximizing spectral efficiency without requiring new physical fiber deployments. Next-generation transport networks face a constant challenge: scaling capacity to keep up with relentless data growth.

NVIDIA B300 vs. NVIDIA B200: Blackwell Ultra vs. Blackwell

The Blackwell architecture arrived in 2024 as NVIDIA's answer to the next era of AI compute. The B200 set a new standard for inference performance, memory capacity, and training throughput, and many teams are still ramping up their use of it today. Then came Blackwell Ultra. The B300 is built on the same silicon foundation as the B200: same dual-reticle die design, same TSMC 4NP process node, same NVLink 5 interconnect.