Scalegrid

MARCH 14, 2024

Effective hybrid cloud management requires robust tools and techniques for centralized administration, policy enforcement, cost management, and modern infrastructure practices like Infrastructure-as-Code (IaC) and containers. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

NOVEMBER 5, 2019

Application Insights – Collects performance metrics of the application code. This requires the installation of an instrumentation package into the code making it a hands-on approach to monitoring. Distributed Tracing – Distributed Tracing / Code level insights for multiple technology stacks are achieved without any code changes.

Azure 134

Azure Artificial Intelligence Metrics Innovation 134

Dynatrace

DECEMBER 22, 2021

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. A database could start executing a storage management process that consumes database server resources. Observability is made up of three key pillars: metrics, logs, and traces.

Artificial Intelligence 172

Artificial Intelligence Metrics Architecture DevOps 172

Testsigma

FEBRUARY 12, 2021

The usage by advanced techniques such as RPA, Artificial Intelligence, machine learning and process mining is a hyper-automated application that improves employees and automates operations in a way which is considerably more efficient than conventional automation. Hyperautomation. Autonomous Test Automation. billion in 2019 to $40.74

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Dynatrace

NOVEMBER 15, 2021

As solutions have evolved to leverage artificial intelligence, the variety of use cases has extended beyond break-fix scenarios to address a wide range of technology and business concerns. Although cold storage and rehydration can mitigate high costs, it is inefficient and creates blind spots.

Analytics 201

Analytics Monitoring Artificial Intelligence DevOps 201

Dynatrace

JANUARY 23, 2024

Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage.

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

Testsigma

JULY 14, 2020

According to Wikipedia, Data-Driven Testing(DDT) is a software testing methodology that is used in the testing of computer software to describe testing done using a table of conditions directly as test inputs and verifiable outputs as well as the process where test environment settings and control are not hard-coded. Excel files. CSV files.

Testing 63

Testing Artificial Intelligence DevOps Big Data 63

All Things Distributed

DECEMBER 13, 2016

Fraud.net uses Amazon Machine Learning to provide more than 20 machine learning models and relies on Amazon DynamoDB and AWS Lambda to run code without provisioning or managing servers. Unbabel uses a combination of artificial intelligence and human translation to deliver fast, cost-effective, high-quality translation services globally.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

O'Reilly

JULY 25, 2023

If you’re reading this, chances are you’ve played around with using AI tools like ChatGPT or GitHub Copilot to write code for you. So far I’ve read a gazillion blog posts about people’s experiences with these AI coding assistance tools. or “ha look how incompetent it is … it couldn’t even get my simple question right!”

Programming 98

Programming Code Design Benchmarking 98

O'Reilly

SEPTEMBER 19, 2023

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” Mental contortions led to code contortions led to frustration.

Hardware 98

Hardware Storage Big Data Blockchain 98