Adarma auto-detection and auto-remediation of microservice anomalies by leveraging large language models
In microservice architecture, anomalies can cause slow response times or poor user
experience if not detected early. Manual detection can be time-consuming and error-prone …
experience if not detected early. Manual detection can be time-consuming and error-prone …
KubePlaybook: A Repository of Ansible Playbooks for Kubernetes Auto-Remediation with LLMs
In the evolving landscape of software development and system operations, the demand for
automating traditionally manual tasks has surged. Continuous operation and minimal …
automating traditionally manual tasks has surged. Continuous operation and minimal …
LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint Generation
Analog layout synthesis faces significant challenges due to its dependence on manual
processes, considerable time requirements, and performance instability. Current Bayesian …
processes, considerable time requirements, and performance instability. Current Bayesian …
A Survey of using Large Language Models for Generating Infrastructure as Code
KG Srivatsa, S Mukhopadhyay, G Katrapati… - arXiv preprint arXiv …, 2024 - arxiv.org
Infrastructure as Code (IaC) is a revolutionary approach which has gained significant
prominence in the Industry. IaC manages and provisions IT infrastructure using machine …
prominence in the Industry. IaC manages and provisions IT infrastructure using machine …
Ansible Lightspeed: A Code Generation Service for IT Automation
P Sahoo, S Pujar, G Nalawade, R Gebhardt… - arXiv preprint arXiv …, 2024 - arxiv.org
The availability of Large Language Models (LLMs) which can generate code, has made it
possible to create tools that improve developer productivity. Integrated development …
possible to create tools that improve developer productivity. Integrated development …
Automated DevOps Pipeline Generation for Code Repositories using Large Language Models
Automating software development processes through the orchestration of GitHub Action
workflows has revolutionized the efficiency and agility of software delivery pipelines. This …
workflows has revolutionized the efficiency and agility of software delivery pipelines. This …
[PDF][PDF] CloudEval-YAML: A Realistic and Scalable Benchmark for Cloud Configuration Generation
Among the thriving ecosystem of cloud computing and the proliferation of Large Language
Model (LLM)-based code generation tools, there is a lack of benchmarking for code …
Model (LLM)-based code generation tools, there is a lack of benchmarking for code …
DocCGen: Document-based Controlled Code Generation
S Pimparkhede, M Kammakomati… - arXiv preprint arXiv …, 2024 - arxiv.org
Recent developments show that Large Language Models (LLMs) produce state-of-the-art
performance on natural language (NL) to code generation for resource-rich general-purpose …
performance on natural language (NL) to code generation for resource-rich general-purpose …
Leveraging Large Language Models for the Auto-remediation of Microservice Applications: An Experimental Study
Runtime auto-remediation is crucial for ensuring the reliability and efficiency of distributed
systems, especially within complex microservice-based applications. However, the …
systems, especially within complex microservice-based applications. However, the …
A Survey of using Large Language Models for Generating Infrastructure as Code
KS Ganesh, M Sabyasachi, K Ganesh… - Proceedings of the 20th …, 2023 - aclanthology.org
Abstract Infrastructure as Code (IaC) is a revolutionary approach which has gained
significant prominence in the Industry. IaC manages and provisions IT infrastructure using …
significant prominence in the Industry. IaC manages and provisions IT infrastructure using …