Dynatrace

NOVEMBER 5, 2019

With the increase in the adoption of cloud technologies, there’s now a huge demand for monitoring cloud-native applications, including monitoring both the cloud platform and the applications themselves. Hybrid and multi-cloud platform –. Migrating to the cloud. Dynatrace news. Do I need more than Azure Monitor?

Azure 136

Azure Artificial Intelligence Metrics Innovation 136

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JANUARY 4, 2024

It starts with implementing data governance practices, which set standards and policies for data use and management in areas such as quality, security, compliance, storage, stewardship, and integration. Modern, cloud-native architectures have many moving parts, and identifying them all is a daunting task with human effort alone.

Government 197

Government Analytics Benchmarking Storage 197

Scalegrid

JANUARY 8, 2024

Confused about multi-cloud vs hybrid cloud and which is the right strategy for your organization? Multicloud harnesses diverse cloud services to boost flexibility, while hybrid cloud merges public and private clouds for enhanced control. What is Multi-Cloud? But what do these entail?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

JANUARY 17, 2024

As organizations turn to artificial intelligence for operational efficiency and product innovation in multicloud environments, they have to balance the benefits with skyrocketing costs associated with AI. AI requires more compute and storage. These data volumes must be transferred from edge devices to the cloud.

Strategy 219

Strategy Artificial Intelligence Storage Cloud 219

Dynatrace

NOVEMBER 20, 2023

In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys.

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

Scalegrid

MARCH 14, 2024

Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

High Scalability

JUNE 22, 2018

And if you know anyone looking for a simple book that uses lots of pictures and lots of examples to explain the cloud, then please recommend my new book: Explain the Cloud Like I'm 10. 40 million : Netflix monthly spend on cloud services; 5% : retention increase can increase profits 25%; 50+% : Facebook's IPv6 traffic from the U.S,

Internet 113

Internet Internet Scalability Artificial Intelligence 113

All Things Distributed

DECEMBER 18, 2017

The cloud is an opportunity to stay competitive in each of these domains by giving companies freedom to innovate quickly. These teams are helping customers and partners of all sizes, including systems integrators and ISVs, to move to the cloud. Our AWS EU (Paris) Region is open for business now.

AWS 112

AWS Artificial Intelligence Education Energy 112

Scalegrid

JANUARY 12, 2024

What is workload in cloud computing? Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. The environments, which were previously isolated, are now working seamlessly under central control.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

OCTOBER 4, 2022

This architecture offers rich data management and analytics features (taken from the data warehouse model) on top of low-cost cloud storage systems (which are used by data lakes). This decoupling ensures the openness of data and storage formats, while also preserving data in context. Ingest and process with Grail.

Artificial Intelligence 264

Artificial Intelligence Analytics Storage Architecture 264

Scalegrid

MAY 13, 2020

High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Greenplum can run on any Linux server, whether it is hosted in the cloud or on-premise, and can run in any environment. Polymorphic Data Storage. Greenplum Advantages. Major Use Cases. The Greenplum Architecture.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

O'Reilly

DECEMBER 2, 2019

What would the world look like if all of our storage was in the cloud, and access to that storage was so fast we didn’t care? If an office can get that kind of bandwidth to my laptop, with adequate guarantees for cloud security, why should we worry about office LANs? I do regular backups, but I know I’m the exception.

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

Dynatrace

FEBRUARY 12, 2024

During a Dynatrace Perform 2024 breakout session, Dynatrace colleagues Bipin Singh, product marketing director, and Markie Duby, principal solutions engineer, showed how organizations can bring together observability, security, and business data from cloud-native and multicloud environments with Dynatrace.

Analytics 178

Analytics Artificial Intelligence Engineering Storage 178

Dynatrace

OCTOBER 4, 2022

Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. This approach enables organizations to use this data to build artificial intelligence (AI) and machine learning models from large volumes of disparate data sets. How does a data lakehouse work? Data management.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

Dynatrace

OCTOBER 4, 2022

Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes. Teams have introduced workarounds to reduce storage costs. Stop worrying about log data ingest and storage — start creating value instead. Limited data availability constrains value creation.

Analytics 231

Analytics Artificial Intelligence Storage Serverless 231

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. AWS is working with incubators and accelerators such as SeedCamp and Techstars , in London; Ignite100 in Newcastle; and DotForge in Sheffield and Manchester to help startups make the most of the cloud.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

KeyCDN

FEBRUARY 22, 2023

Artificial intelligence and machine learning Artificial intelligence (AI) and machine learning (ML) are becoming more prevalent in web development, with many companies and developers looking to integrate these technologies into their websites and web applications. Source: web.dev 2.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

DECEMBER 22, 2021

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Observability platforms are becoming essential as the complexity of cloud-native architectures increases. A database could start executing a storage management process that consumes database server resources.

Artificial Intelligence 175

Artificial Intelligence Metrics Architecture DevOps 175

O'Reilly

SEPTEMBER 19, 2023

Cloud computing? 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.” So we can ride that wave of publicity.)

Hardware 99

Hardware Storage Big Data Blockchain 99

ACM Sigarch

DECEMBER 6, 2018

As a result of these different types of usages, a number of interesting research challenges have emerged in the domain of visual computing and artificial intelligence (AI). surveillance, ADAS), the video data captured at the sensor is compressed and transmitted to the cloud for visual analytics.

Wireless 54

Wireless IoT Analytics Architecture 54

Abhishek Tiwari

DECEMBER 27, 2017

With the arrival of new cloud-native tools and platform, ETL is becoming obsolete. More importantly, UDM utilizes a single storage backend with benefits of multiple storage systems which avoids moving data across systems hence data duplication, and data consistency issues. Overall, less complexity to deal with.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

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. Automation Via Distributed Cloud. Hyperautomation.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92