Dynatrace

JANUARY 11, 2023

As cloud and big data complexity scales beyond the ability of traditional monitoring tools to handle, next-generation cloud monitoring and observability are becoming necessities for IT teams. Database monitoring. This ensures the database queries are performant, while also identifying host problems. Website monitoring.

Cloud 227

Cloud Monitoring Best Practices Infrastructure 227

Dynatrace

FEBRUARY 16, 2023

As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022. And without the encumbrances of traditional databases, Grail performs fast. “In

Analytics 191

Analytics Innovation Metrics Database 191

All Things Distributed

AUGUST 18, 2011

Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. However, this cannot be done without efficient, scalable data analytics.

Big Data 111

Big Data Analytics AWS Cloud 111

Dynatrace

JUNE 1, 2020

Websites, mobile apps, and business applications are typical use cases for monitoring. The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. From APM to full-stack monitoring.

Artificial Intelligence 184

Artificial Intelligence Social Media Monitoring IoT 184

Dynatrace

JUNE 1, 2020

Websites, mobile apps, and business applications are typical use cases for monitoring. The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. From APM to full-stack monitoring.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

The Netflix TechBlog

FEBRUARY 16, 2021

Operational Efficiency: The majority of the changes require metadata configuration files and library code changes, usually taking days of testing and service release to adopt the updates. SKUDB: SKU catalog data was migrated from the metadata configuration files to a relational database. Persistence Layer?—?SKUDB: What’s Next?

Mobile 209

Mobile Engineering Infrastructure Scalability 209

Testsigma

MAY 7, 2020

IBM Big Data and Analytics Hub website cited a case study, where a US insurance company was estimating 15% of their testing efforts to be just test data collection for the backend system and the frontend system. For testing purposes, usually, a mix of static and dynamic data is needed. Copy production data i.

Testing 60

Testing Storage Database Processing 60