IBM Journey to AI blog
MARCH 6, 2024
A McKinsey study claims that software developers can complete coding tasks up to twice as fast with generative AI. DevOps Research and Assessment metrics (DORA), encompassing metrics like deployment frequency, lead time and mean time to recover , serve as yardsticks for evaluating the efficiency of software delivery.
IBM Journey to AI blog
OCTOBER 17, 2023
This solution extends observability to a wide range of roles, including DevOps, SRE, platform engineering, ITOps and development. You can find a complete list of supported technologies for IBM Instana on this page. Auto-discovery and dependency mapping : Automatically discovers and maps services and their interdependencies.
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AWS Machine Learning Blog
JANUARY 5, 2024
Data science and DevOps teams may face challenges managing these isolated tool stacks and systems. AWS also helps data science and DevOps teams to collaborate and streamlines the overall model lifecycle process. The suite of services can be used to support the complete model lifecycle including monitoring and retraining ML models.
AWS Machine Learning Blog
MAY 7, 2024
They are designed for real-time, interactive, and low-latency workloads and provide auto scaling to manage load fluctuations. This S3 event triggers the Notification Lambda function, which pushes the summary to an Amazon Simple Notification Service (Amazon SNS) topic. Mateusz Zaremba is a DevOps Architect at AWS Professional Services.
IBM Journey to AI blog
NOVEMBER 24, 2023
Application modernization is the process of updating legacy applications leveraging modern technologies, enhancing performance and making it adaptable to evolving business speeds by infusing cloud native principles like DevOps, Infrastructure-as-code (IAC) and so on. Ease of integration of APIs with channel front-end layers.
AWS Machine Learning Blog
MAY 16, 2024
When training is complete (through the Lambda step), the deployed model is updated to the SageMaker endpoint. When the preprocessing batch was complete, the training/test data needed for training was partitioned based on runtime and stored in Amazon S3. import json import boto3 def lambda_handler(event, context): sm_client = boto3.client("sagemaker")
AWS Machine Learning Blog
SEPTEMBER 11, 2023
IaC ensures that customer infrastructure and services are consistent, scalable, and reproducible while following best practices in the area of development operations (DevOps). Later, the auto-shutdown script will run the s3 cp command to download the extension file from the S3 bucket on Jupyter Server start-ups.
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