Scalegrid

FEBRUARY 8, 2024

Real-World Use Cases of Distributed Storage Distributed storage systems are the backbone of massively scalable storage services, designed to serve both cloud-based and on-premises environments. These systems enable vast amounts of data to be spread over multiple nodes, allowing for simultaneous access and boosting processing efficiency.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JULY 6, 2022

Scripts and procedures usually focus on a particular task, such as deploying a new microservice to a Kubernetes cluster, implementing data retention policies on archived files in the cloud, or running a vulnerability scanner over code before it’s deployed. Big data automation tools. How does IT automation work?

Artificial Intelligence 194

Artificial Intelligence Tuning Strategy Big Data 194

Dynatrace

OCTOBER 4, 2022

Limited data availability constrains value creation. Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes. Additionally, Grail delivers unrivaled performance without losing the precision of unsampled, gapless data.

Analytics 239

Analytics Artificial Intelligence Storage Serverless 239

Dynatrace

JULY 5, 2022

Artificial intelligence for IT operations (AIOps) uses machine learning and AI to help teams manage the increasing size and complexity of IT environments through automation. For example, consider the adoption of a multicloud framework that enables companies to use best-fit clouds for important operational tasks.

Artificial Intelligence 291

Artificial Intelligence Cloud Innovation Strategy 291

All Things Distributed

DECEMBER 13, 2016

The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption. The council has deployed IoT Weather Stations in Schools across the City and is using the sensor information collated in a Data Lake to gain insights on whether the weather or pollution plays a part in learning outcomes.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Dynatrace

OCTOBER 14, 2021

Artificial intelligence for IT operations (AIOps) is an IT practice that uses machine learning (ML) and artificial intelligence (AI) to cut through the noise in IT operations, specifically incident management. Dynatrace news. But what is AIOps, exactly? And how can it support your organization? What is AIOps?

Artificial Intelligence 217

Artificial Intelligence DevOps Innovation Metrics 217

Dynatrace

JUNE 1, 2020

You probably think applications including websites, mobile apps, and business apps may seem simple in the way they’re used, but they are actually highly complex; made up of millions of lines of code, hundreds of interconnected digital services, all hosted across multiple cloud services. Advanced Cloud Observability.

Artificial Intelligence 183

Artificial Intelligence Social Media Monitoring IoT 183

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. Modern IT operations involve observing networks, cloud resources and applications, endpoint devices, and more. AIOps use cases.

DevOps 201

DevOps Artificial Intelligence Healthcare Innovation 201

Testsigma

FEBRUARY 12, 2021

But in expectation of the big developments in tech trials for 2021, as we had forecast of last year for 2020 , we are looking forward to renewed hope. The world’s Artificial Intelligence market is anticipated to increase from $28.42 Automation Via Distributed Cloud. Hyperautomation. Autonomous Test Automation.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Alex Podelko

DECEMBER 19, 2019

. – Performance engineering as it done at Alibaba – which emerging as a major cloud provider. An Evaluation of Cloud-Native Tools by Karen Hughes, BMC. – Looks like cloud-native performance tools mature – it is important to understand what they could do and what you need third-party tools for. a Panel Discussion.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

Dynatrace

JUNE 1, 2020

You probably think applications including websites, mobile apps, and business apps may seem simple in the way they’re used, but they are actually highly complex; made up of millions of lines of code, hundreds of interconnected digital services, all hosted across multiple cloud services. Advanced Cloud Observability.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

All Things Distributed

DECEMBER 20, 2017

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Marketers use big data and artificial intelligence to find out more about the future needs of their customers.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Abhishek Tiwari

DECEMBER 27, 2017

ETL refers to extract, transform, load and it is generally used for data warehousing and data integration. With the arrival of new cloud-native tools and platform, ETL is becoming obsolete. There are several emerging data trends that will define the future of ETL in 2018. Machine learning meets data integration.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

O'Reilly

SEPTEMBER 19, 2023

Cloud computing? Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” And just as we started to complain that the crypto miners were snapping up all of the affordable GPU cards, cloud providers stepped up to offer access on-demand.

Hardware 99

Hardware Storage Big Data Blockchain 99