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Speaking Calendar

Representative Talks Archive

Rustam Mehmandarov & Ana-Maria Mihalceanu - (Mis)Understanding Cloud-Native
Quarkus and Kubernetes: The Fellowship of Cloud-Native Java - AnaMaria Mihalceanu
Techniques for maintainable Quarkus Applications by Ana-Maria Mihalceanu
[VDCLUJ22] Ana-Maria Mihălceanu - The DevOps Chronicles: Kubifying Java apps with Dekorate.io
Ana-Maria Mihalceanu - Fantastic Java Apps and how to kubify them with Dekorate
Helm vs Kustomize: the frenemies that soothe Kubernetes by Ana Maria Mihalceanu
LJC Virtual Meetup: Kubernetes Panel
Devnexus 2021 Ana Maria Mihalceanu Monitoring Distributed Java Applications at Scale
Tailor metrics that matter with Quarkus, with Ana Maria Mihalceanu
The Automation Challenge: Kubernetes Operators vs Helm Charts • Ana-Maria Mihalceanu • GOTO 2021
Cloud Native resiliency patterns from the ground up | Ana-Maria Mihalceanu
JFuture 2020: Ana-Maria Mihalceanu - Let Kubernetes batch that for your application
49:19
Devnexus 2020 Afterlife Tales Ana Maria Mihalceanu
41:18
Stability anti-patterns in cloud-native applications - DevFest Romania 2020
39:41
2020 Tech Summary
02:12:35
Troubleshooting containerized applications by Ana Maria Mihalceanu
45:25
Helm your way with Kubernetes by Ana Maria Mihalceanu
31:34
Helm your way with Kubernetes by Ana-maria Mihalceanu
26:13
Containerization crossroads: Experiences-Experiments-Expectations by Ana-maria Mihalceanu
26:06
Ana Maria Mihalceanu joins Arun Gupta for a chat at Devoxx BE 2019
13:56
Victor Rentea joins Ana Maria Mihalceanu at Devoxx Belgium 2019
08:14
Helm 3 is out. What now? by Ana-Maria Mihalceanu
35:59
Panel on Microservices with M. Rigabert Lemée, S. Stormacq, E. Bernard, A-M. Mihalceanu
31:34
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  import subprocess
  import pathlib
  import requests
  from tqdm import tqdm
  import pandas as pd
  
  # Destination folder for the downloaded files
  dir_dest = pathlib.Path(__file__).absolute().parent.parent / "dataset"
  try:
      # Send GET request to Github API
      r = requests.get(
          (
              "https://api.github.com/repos/shandou/"
              "data-sets/contents"
          )
      )
      r.raise_for_status()
  except requests.exceptions.HTTPError as e:
      print(f"requests failed with error {e}")
  else:
      # When requests succeed, pack returned JSON into pandas dataframe
      df = pd.read_json(r.content)