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AI Jinga, How This Can All Come Crashing Down | Shimmy Says Ep. 34 x.com/i/broadcasts/1…
#OpenAI has pledged over $1 trillion in compute and data-center deals with Oracle, NVIDIA & others, despite only ~$13B in revenue and no profit. On today’s #ShimmySays, @ashimmy breaks down why OpenAI is the Jenga piece under the #AI stack & what happens if it slips. Tune in at…
Palo Alto Networks is making a major move in the AI era with its plan to acquire Chronosphere for $3.35 billion. The deal signals how critical real-time, scalable observability has become as AI workloads generate massive volumes of telemetry and demand continuous uptime.…
Monoliths keep observability simple. Microservices require distributed tracing, scalable telemetry and smarter alerting. Teams that matched their strategy to their architecture saw the best results in 2025. Read more: buff.ly/l5yKazu #Observability #SRE #Microservices
Terraform is entering the multiplayer era. Marcin Wyszynski joins Alan Shimel to explain how Spacelift and Open Tofu are enabling team-ready IaC, advancing open standards, and simplifying adoption for Terraform users. Watch: buff.ly/d9Yvmrr #Terraform #OpenTofu #DevOps
The next frontier of infrastructure is agentic orchestration of intelligent, reasoning-based systems that go beyond scripts. Itential has entered this space with its new FlowAI service, which lets teams build intelligent agents. Learn more: zpr.io/mQWpnGWeiK5N #AI #tech
AI systems deliver real value only when the underlying platform can keep up. Many performance issues start long before a model makes a prediction. Slow ingestion, unpredictable training workflows and high-latency inference create bottlenecks that limit how quickly teams can ship…
AI is becoming a defining force in DevOps. Teams are now using machine intelligence to detect vulnerabilities earlier, predict performance issues and strengthen security across the entire pipeline. The result is a faster workflow that reduces manual toil and improves reliability…
AI is reshaping how software is built and delivered. For DevOps teams this shift brings new pressure to move faster, optimize pipelines and run smarter infrastructure to support AI workloads at scale. This breakdown highlights three strategies that help teams deploy models…
AI agents are becoming core production workloads, but traditional performance testing does not reflect how they actually behave. Requests per second and latency metrics miss the real failure points that cause pipelines to crash, consume excessive tokens or collapse under…
Observability is becoming one of the most important shifts in modern engineering. As @ashimmy explains, today’s cloud-native environments demand deeper visibility than traditional monitoring or APM can provide. With OpenTelemetry standardizing telemetry and major market moves…
AlertD has emerged from stealth with an AI-powered observability platform designed to give DevOps teams deeper, faster insight into AWS environments. By generating dashboards automatically through natural language queries, the platform helps teams uncover hidden workloads,…
The shift left movement reshaped how organizations approached software security, but today’s accelerated delivery cycles have exposed its limits. Developer workloads have grown heavier, tool sprawl has increased complexity, and AI-generated code is introducing new risks faster…
Splunk, now part of Cisco, has donated its OpenTelemetry Injector library to the CNCF project, making it easier for teams to instrument legacy, non-containerized applications with zero manual changes. The Injector bundles auto-instrumentation agents directly into a lightweight…
AI agents are rapidly becoming core components of modern DevOps and SRE workflows, but connecting them to the right tools and data has always been a challenge. The Model Context Protocol (MCP), originally developed by Anthropic, is emerging as a powerful way to standardize how AI…
As cloud-native environments grow more complex, DevOps teams are rediscovering the value of dedicated hardware for I/O-intensive and latency-sensitive workloads. A high-performance bare metal blueprint can deliver predictable compute, faster storage access, and stronger…
AI agents are becoming a core part of modern software development, but scaling them across teams requires stronger governance and shared context. @tessl_io is introducing a new Agent Enablement Platform designed to help DevOps teams create, distribute, and manage the…
As organizations accelerate AI adoption, a growing disconnect is emerging between executive expectations and what software testing teams can realistically deliver. Misalignment around agentic AI, testing requirements, and automation strategy is already leading to stalled…
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