IMPLEMENTATION OF DEVOPS PARADIGM TO DEPLOYMENT AND PROVISIONING OF MICROSERVICES
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Microservices architecture is widely used in the industry to deploy applications in terms of well-defined services along with DevOps paradigm to frequently release features. This paper describes how to incorporate some widely used DevOps tools for the deployment of micro-services. Amazon Web Services (AWS) Serverless architecture is used for the deployment of microservices using AWS Elastic Container Service. The process of deployment and provisioning of microservices using main features of AWS Elastic Container Service will be demonstrated and discussed in this paper with a simple example. We have applied and integrated DevOps tools/technologies to manage and deploy microservices. The example project is one of many projects' students use to master DevOps skills and practices in the course "DevOps Principles and Practices" using current technologies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it