Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. And 93% of CIOs say AIOps and automation are increasingly vital to alleviating the shortage of skilled IT, development, and security professional. Enlisting a data lakehouse, IT automation can manage the next wave of cloud complexity.

Cloud 174

Cloud Artificial Intelligence Innovation Analytics 174

Dynatrace

SEPTEMBER 23, 2022

But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. And 93% of CIOs say AIOps and automation are increasingly vital to alleviating the shortage of skilled IT, development, and security professional. Enlisting a data lakehouse, IT automation can manage the next wave of cloud complexity.

Cloud 147

Cloud Artificial Intelligence Innovation Analytics 147

Dynatrace

OCTOBER 1, 2020

While our competitors only provide generic traffic monitoring without artificial intelligence, Dynatrace automatically analyzes DNS-related anomalies. Network device visibility (hosts, switches, routers, storage devices). What’s next. Network services visibility (DNS, NTP, ActiveDirectory).

Traffic 264

Traffic Network Infrastructure Artificial Intelligence 264

Dynatrace

DECEMBER 15, 2022

We’ll discuss how the responsibilities of ITOps teams changed with the rise of cloud technologies and agile development methodologies. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. So, what is ITOps? What is ITOps?

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

Scalegrid

MARCH 14, 2024

Public Cloud Infrastructure Third-party providers run public cloud services, delivering a broad array of offerings like computing power, storage solutions, and network capabilities that enhance the functionality of a hybrid cloud architecture. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

DECEMBER 22, 2021

Observability gives developers and system operators real-time awareness of a highly distributed system’s current state based on the data it generates. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. What is observability?

Artificial Intelligence 175

Artificial Intelligence Metrics Architecture DevOps 175

Testsigma

FEBRUARY 12, 2021

With the latest developments in IT sector services, the sector of QA testing has seen significant improvement and growth. The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. Here is the list of software testing trends you need to look out for in 2021.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Scalegrid

JANUARY 12, 2024

Storage is a critical aspect to consider when working with cloud workloads. High availability storage options within the context of cloud computing involve highly adaptable storage solutions specifically designed for storing vast amounts of data while providing easy access to it. What is an example of a workload?

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. Platform engineering improves developer productivity by providing self-service capabilities with automated infrastructure operations. AI-enabled chatbots can help service teams triage customer issues more efficiently.

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

Dynatrace

NOVEMBER 5, 2019

In addition to the OneAgent collecting all these metrics, Dynatrace has an integration with Azure Monitor to capture additional metrics for platform services such as Storage Accounts, Redis Cache, API Management Services, Load Balancers among others. Dynatrace does this by querying Azure monitor APIs to collect platform metrics.

Azure 136

Azure Artificial Intelligence Metrics Innovation 136

Scalegrid

DECEMBER 21, 2023

Such as: RedisInsight – Offers an easy way for users to oversee their Redis® information with visual cues; Prometheus – Providing long-term metrics storage solutions when tracking performance trends involving your instances; Grafana – Its user-friendly interface allows advanced capabilities in observing each instance.

Strategy 130

Strategy Monitoring Latency DevOps 130

Scalegrid

JANUARY 8, 2024

With ongoing developments in cloud computing technology, ScaleGrid is well-positioned to provide robust solutions that cater to diverse business requirements, ensuring smooth navigation through these changes.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

NOVEMBER 15, 2021

Log monitoring is a process by which developers and administrators continuously observe logs as they’re being recorded. 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.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

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. Fragmented and siloed data storage can create inconsistencies and redundancies.

Government 197

Government Analytics Benchmarking Storage 197

Tech News Gather

NOVEMBER 5, 2023

Additionally, artificial intelligence (AI) tools can be integrated into the vehicle’s systems to find, negotiate, and bargain for the best-priced and highest-value solutions. This development has the potential to redefine the concept of ownership and asset management in the automotive industry.

Blockchain 52

Blockchain Automotive Transportation Energy 52

High Scalability

JUNE 22, 2018

using them to respond to storage events on s3 or database events or auth events is super easy and powerful. But it turns out that the Orbiters' photos were actually super-high-rez, shot on 70mm film and robotically developed inside the orbiters, with the negs raster-scanned at 200 lines/mm and transmitted to ground stations using.

Internet 113

Internet Internet Scalability Artificial Intelligence 113

All Things Distributed

DECEMBER 18, 2017

Starting today, developers, startups, and enterprises, as well as government, education, and non-profit organizations can leverage AWS to run applications and store data in France. The cloud is an opportunity to stay competitive in each of these domains by giving companies freedom to innovate quickly.

AWS 112

AWS Artificial Intelligence Education Energy 112

Testsigma

JULY 14, 2020

Test data storage can be achieved by any of the below options-. Since there are separate folders/locations of the test data and test scripts, there is clarity in the development and maintenance of both. In the Agile and DevOps environment, shorter development cycles need quick decisions and quick resolution of issues.

Testing 63

Testing Artificial Intelligence DevOps Big Data 63

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). The tremendous growth in visual computing is fueled by the rapid increase in deployment of visual sensing (e.g.

Wireless 54

Wireless IoT Analytics Architecture 54

All Things Distributed

DECEMBER 13, 2016

Take GoSquared , a UK startup that runs all its development and production processes on AWS, as an example. 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

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.” ” (It will be easier to fit in the overhead storage.)

Hardware 99

Hardware Storage Big Data Blockchain 99

Abhishek Tiwari

DECEMBER 27, 2017

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. Delta implements the unified data management layer by extending the Amazon S3 object storage for ACID transactions and automatic data indexing.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

O'Reilly

JULY 25, 2023

Getting Started: Setup Trials and Tribulations Here’s the exact prompt I used to start my conversation with ChatGPT using GPT-4: Act as a software developer to help me build something that will play music from a time period that matches when an academic paper I am reading in the browser was written. And ChatGPT didn’t warn me about this.

Programming 98

Programming Code Design Benchmarking 98