探花视频, in conjunction with its vendor partners, sponsors hundreds of events each year, ranging from webcasts and tradeshows to executive roundtables and technology forums.
Government Events and Resources
Events
Securing CI/CD Pipelines with AWS & GitLab
Hosted By: GitLab, AWS and 探花视频
Government agencies are starting to recognize the impact that Continuous Integration and Continuous Deployment (CI/CD) pipelines from the start, enable rapid and efficient delivery of applications. There is a critical need for automation as support teams can manage agile workflows, it is critical to understand where automation is released within existing tools to safeguard pipelines with automated checks and testing to prevent vulnerabilities in software delivery.
GitLab enhances software development efficiency across the entire lifecycle, from conceptualization to deployment on AWS. GitLab’s complete DevSecOps Platform offers integrated planning, monitoring and reporting tools, seamlessly integrating with AWS to support a wide range of workloads.
Attendees joined GitLab experts online on Thursday, April 4 to learn:
- Technology tactics to elevate developer experiences within the agency
- Strategies that ensure the integrity and security of your software supply chain
- How AWS & GitLab have aligned with the most recent CISA guidance for defending CI/CD environments
- Strategies to address Executive Order on Safe, Secure, and Trustworthy Development and User of Artificial Intelligence
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Resources
AWS Cloud Date Ingestion Patterns and Practices
Today, many organizations want to gain further insight using the vast amount of data they generate or have access to. They may want to perform reporting, analytics and/or machine learning on that data and further integrate the results with other applications across the organization. More and more organizations have found it challenging to meet their needs with traditional on-premises data analytics solutions and are looking at modernizing their data and analytics infrastructure by moving to cloud. However, before they can start analyzing the data, they need to ingest this data into cloud and use the right tool for the right job. This paper outlines the patterns, practices, and tools used by AWS customers when ingesting data into AWS Cloud using AWS services.
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