Dynatrace

NOVEMBER 22, 2021

As organizations move workloads and software development to multicloud environments to operate more efficiently and flexibly, traditional monitoring tools often fall short. Dynatrace extends contextual analytics and AIOps for open observability. This tutorial demonstrates the role of full-stack monitoring in modern delivery pipelines.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

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 77

Open Source Healthcare Social Media Database 77

Dynatrace

OCTOBER 17, 2022

Thus, modern AIOps solutions encompass observability, AI, and analytics to help teams automate use cases related to cloud operations (CloudOps), software development and operations (DevOps), and securing applications (SecOps). CloudOps: Applying AIOps to multicloud operations. Analyze the data. Execute an action plan.

DevOps 195

DevOps Artificial Intelligence Healthcare Innovation 195

All Things Distributed

OCTOBER 16, 2019

Connected devices allow us to extend our senses to remote locations, such as a robot carrying out work on Mars or monitoring remote oil wells. Here's a few examples: IoT sensors in a factory can monitor and predict equipment failure before an accident. This is the exciting future for IoT, and it's closer than you think.

IoT 126

IoT Healthcare Internet Internet 126

Dynatrace

DECEMBER 5, 2023

For example, industries such as finance and healthcare have specific regulations that dictate audit log retention periods ranging from months to several years. Segmentation of use cases establishes the perfect landscape for tailoring retention periods to the purposes for which data is collected.

Storage 166

Storage Healthcare Best Practices Speed 166

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

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. Scaleout StreamServer® DT was created to meet this need.

IoT 52

IoT Azure Analytics Healthcare 52

Testsigma

JUNE 26, 2021

Globally, organizations across banking, retail, automotive, healthcare, etc., Real-time reports & analytics: A thumb rule when picking a codeless automation testing tool is to go for one that offers customizable reports and analytics dashboard. for the next five years. amongst others will embark on automation. Signup Now.

Testing 57

Testing Testing Tools Automotive Scalability 57

Percona

MARCH 30, 2023

For example, an analytics application would work best with unstructured image files stored in a non-relational graph database. It’s well-suited for most online transaction processing (OLTP) workloads and works with some online analytical processing (OLAP) workloads. MongoDB also provides strong encryption and firewall security.

Open Source 75

Open Source Database Storage Scalability 75

Percona

JANUARY 14, 2019

What if we use ClickHouse (which is a columnar analytical database) as our main datastore? Well, typically, an analytical database is not a replacement for a transactional or key/value datastore. This information can be a mix of analytical (OLAP) queries (i.e. Analytical databases are optimized for a low number of slow queries.

Database 40

Database Analytics Blockchain Healthcare 40

O'Reilly

OCTOBER 11, 2022

We’ll see it in healthcare. Data integration and regulatory compliance are particularly tough in healthcare and medicine, but don’t kid yourself: if you’re working with data, you will face integration problems, and if you’re working with personal data, you need to think about compliance. We’ll see it in customer service.

Games 115

Games Healthcare Processing Retail 115

O'Reilly

NOVEMBER 28, 2023

Several respondents also mentioned working with video: analyzing video data streams, video analytics, and generating or editing videos. And unlike source code, models grow stale over time and require constant monitoring and testing. from the healthcare industry, and 3.7% from education.

Open Source 107

Open Source Artificial Intelligence Google Infrastructure 107