DevOps / MLOps / AIOps
DevOps Tools & Platforms
Harness Announces New AWS Integrations - Harness unveiled new integrations with AWS that connect AI-powered software development with intelligent delivery pipelines, enhancing continuous deployment capabilities. Source: DEVOPSdigest
AWS DevOps Agents for Incident Analysis and Runbooks - AWS announced DevOps agents capable of analyzing incidents, running diagnostics, and executing runbooks automatically, backed by AI-driven capabilities. Source: TechStrong
MLOps & Model Management
AIOps vs MLOps vs LLMOps: A Comparison - EPAM Solutions Hub provides comprehensive comparison of AIOps, MLOps, and LLMOps, helping organizations choose the right approach for their AI system needs. Source: EPAM SolutionsHub
Top LLMOps Tools & Comparison with MLOps - Detailed comparison of LLMOps tools including ZenML, which provides production-ready pipeline frameworks for MLOps and LLMOps with support for multiple orchestrators. Source: AI Multiple Research
AIOps & Monitoring
New Relic Integration with AWS for AI Monitoring - New Relic announced integration with AWS DevOps Agent through MCP Server, enabling intelligent observability for AI systems with automatic alert-driven diagnostics. Source: New Relic Press Release
Kloudfuse 3.5: Native AI Monitoring Platform - Kloudfuse released version 3.5 with observability unified across traditional APM and AI systems, handling high-cardinality attributes like prompts natively. Source: Kloudfuse Blog
Container & Orchestration
Kubernetes Testing Tools: 4 Categories to Know - Comprehensive guide covering Argo Workflows and other Kubernetes-native orchestration tools for complex test suites, data pipelines, and CI/CD workflows. Source: Testkube Blog
IIoT at Scale: Containerization with Docker and Kubernetes - Technical overview of Docker containers and Kubernetes orchestration for industrial IoT applications requiring scalable data processing. Source: IIoT Blog
Infrastructure as Code
- An AI Crew for Automated Diagramming and Documentation - AI agents can now automatically scan live AWS infrastructure and generate complete documentation and diagrams in 5-10 minutes. Source: HackerNoon
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