Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. With AIOps , practitioners can apply automation to IT operations processes to get to the heart of problems in their infrastructure, applications and code.

AWS 233

AWS Lambda Artificial Intelligence Serverless 233

Percona

AUGUST 17, 2023

It’s used for data management (shocker), application development, and data analytics. Data analytics: With the right extensions and configurations, PostgreSQL can support analytical processing and reporting. Healthcare organizations: PostgreSQL is used to store patient records, medical history, and other healthcare data.

Open Source 76

Open Source Healthcare Social Media Database 76

High Scalability

DECEMBER 18, 2018

pMD is a fast­ growing , highly rated health care technology company that has been recognized as a Best Place to Work by SF Business Times, Modern Healthcare, and Inc. For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one.

Healthcare 122

Healthcare Best Practices DevOps Cache 122

Percona

MARCH 30, 2023

Their work produces higher-quality code and enables faster innovation, while maintaining high security standards. For example, an analytics application would work best with unstructured image files stored in a non-relational graph database. It’s highly scalable and ideal for real-time analytics and high-speed logging.

Open Source 73

Open Source Database Storage Scalability 73

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. By offloading the task of managing infrastructure to AWS Essent is able to spend more time on innovating on behalf of their customers to help them in their energy usage.

Cloud 129

Cloud Energy AWS Healthcare 129

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. of users) report that “infrastructure issues” are an issue. We’ll say more about this later.) of nonusers, 5.4%

Open Source 106

Open Source Artificial Intelligence Google Infrastructure 106