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Five Great DevOps Job Opportunities
This Thanksgiving week, we share a fresh DevOps jobs report: Top roles and opportunities for professionals looking to level up their careers ...
Bindplane Adds AI Ability to Automate Configuring OpenTelemetry Pipelines
Mike Vizard | | AI for telemetry data, AI log parsing, AI-driven DevOps tools, automated parsers, data pipeline optimization, DevOps observability, generative AI telemetry, log type detection, observability automation, OpenTelemetry automation, Pipeline Intelligence, telemetry data management, telemetry pipeline optimization, telemetry pipeline scalingBindplane is adding AI-powered Pipeline Intelligence to automate log parsing and optimize OpenTelemetry pipelines as telemetry volumes surge across modern DevOps environments ...
Scaling AI the Right Way: Platform Patterns for Performance and Reliability
Sandeep Bharadwaj Mannapur | | AI DevOps, AI observability, AI performance engineering, AI pipeline optimization, data ingestion performance, distributed training, elastic training, end-to-end AI performance, GPU utilization, inference latency, low-latency inference, MLOps automation, model caching, model serving optimization, performance bottlenecks in AI, platform engineering for AI, scalable AI systems, streaming ingestion, training throughputAI performance breaks long before the model runs. Learn how ingestion speed, elastic training, low-latency inference, observability and automation create reliable, scalable AI systems ...
Why AI Integration in DevOps is so Important
Andrej Kovacevic | | AI cybersecurity tools, AI DevSecOps, AI in DevOps security, AI pipeline monitoring, AI threat detection, AI-powered code analysis, automated vulnerability scanning, behavioral threat analysis, CI/CD security automation, DevOps anomaly detection, machine learning security, malware detection AI, predictive security analytics, real-time DevOps protection, secure DevOps pipelinesAI is transforming DevOps security with real-time threat detection, automated scanning and predictive analytics. Learn how AI strengthens CI/CD pipelines and protects modern software delivery ...
Three Strategies for Winning the AI Race With DevOps
Marty Puranik | | AI deployment speed, AI DevOps, AI in DevOps pipelines, AI observability, AI pipeline efficiency, AI resource management, AI-driven DevOps strategies, cost-efficient GPU hosting, devops automation, distributed training, faster model training, GPU hosting for AI, GPU infrastructure, HPC for AI, MLOps optimization, model optimization, scalable AI workflowsAI is transforming DevOps. Learn how faster model training, optimized pipelines and smarter GPU infrastructure help teams deliver reliable, scalable AI workflows ...
AI Agent Performance Testing in the DevOps Pipeline: Orchestrating Load, Latency and Token Level Monitoring
Sudhakar Reddy Narra | | AI agent debugging, AI agent load testing, AI agent performance testing, AI CI/CD, AI DevOps, AI observability, AI orchestration metrics, AI-specific alerts, context utilization monitoring, context window saturation, cost-per-interaction, first token latency, inference tracing, LLM cost control, LLM cost optimization, LLM integration testing, LLM token throughput, model orchestration performance, production AI reliability, synthetic conversation testing, token analytics, token-rate monitoring, TPOT, TTFTTraditional testing misses token and context failures. Discover how to measure, test and scale AI agents reliably in production ...
Observability: The Real Killer App
My friends, I’ve been around long enough in the world of DevOps, cybersecurity and cloud-native to see the “next big thing” fade into “just another dashboard.” But today I’m here to tell ...
AlertD Emerges to Apply AI to Observing AWS Environments
AlertD this week emerged from stealth to launch a DevOps platform that leverages generative artificial intelligence (AI) to provide deeper insights into Amazon Web Services (AWS) environments by automatically generating dashboards that ...
The Future of DevSecOps: From Shifting Left to Shifting Smart
For the better part of a decade, a revolutionary idea has reshaped enterprise security: the "shift left" movement. This mantra taught us to view the software development lifecycle (SDLC) not as a ...
Splunk Donates OpenTelemetry Injector Library to Open Source Instrumentation Framework
Splunk, an arm of Cisco, has donated an OpenTelemetry Injector library it developed for streamlining instrumentation of applications that have not been containerized, to the open source project that is being advanced ...
MCP — A Protocol for SREs
Jaimin Jashwantlal Gandhi | | agentic AI in financial services, AI agents, AI observability, AI workflows, AI-powered DevOps, Azure MCP server, building MCP servers, DevOps AI tools, Docker MCP server, infrastructure as code AI, integrated development environment AI, LLM context management, LLM interoperability, MCP, MCP architecture, MCP servers, Model Context Protocol, remediation automation, SRE automationThe Model Context Protocol (MCP) standardizes how AI agents access tools, APIs and data. Learn how SREs can leverage MCP to build smarter, automated workflows ...
Beyond the Cloud: A DevOps Blueprint for High-Performance Bare Metal Infrastructure
Ethan Vance | | bare metal servers, CI/CD build runners, DDoS protected hosting, dedicated servers for databases, DevOps infrastructure, ECC memory, hardware reliability RAID, high-performance computing, I/O intensive workloads, infrastructure as code DevOps, Kubernetes bare metal nodes, low-latency infrastructure, network redundancy, NVMe storage performance, Tier-1 bandwidth providersBare metal servers deliver predictable, high-performance compute, storage, and networking—ideal for databases, CI/CD runners, and Kubernetes workloads ...
