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

JANUARY 23, 2024

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

Performance 195

Performance DevOps Innovation Artificial Intelligence 195

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Storage is a critical aspect to consider when working with cloud workloads.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

MARCH 14, 2024

In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently. Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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 211

Artificial Intelligence DevOps Hardware Virtualization 211

Scalegrid

JANUARY 8, 2024

Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model. Thus making it an ideal choice for businesses seeking a successful implementation of their multi-cloud strategy.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Scalegrid

DECEMBER 21, 2023

This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency. Command-Line Analysis Commanding the Redis CLI efficiently requires knowledge of every command’s function and how to decipher its output.

Strategy 130

Strategy Monitoring Latency DevOps 130

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

Dynatrace

NOVEMBER 15, 2021

Log monitoring is a process by which developers and administrators continuously observe logs as they’re being recorded. Log analytics also help identify ways to make infrastructure environments more predictable, efficient, and resilient. “Logging” is the practice of generating and storing logs for later analysis.

Analytics 218

Analytics Monitoring Artificial Intelligence DevOps 218

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 208

Government Analytics Benchmarking Storage 208

Tech News Gather

NOVEMBER 5, 2023

These vehicles have the potential to revolutionize the way we commute, offering improved safety, efficiency, and convenience. 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.

Blockchain 52

Blockchain Automotive Transportation Energy 52

All Things Distributed

DECEMBER 13, 2016

AWS is not only affordable but it is secure and scales reliably to drive efficiencies into business transformations. Take GoSquared , a UK startup that runs all its development and production processes on AWS, as an example. All around us we see that the AWS capabilities foster a culture of experimentation with businesses of all sizes.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

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. Time-efficient. Independent of application development. The framework development is independent of the actual AUT.

Testing 63

Testing Artificial Intelligence DevOps Big Data 63

Abhishek Tiwari

DECEMBER 27, 2017

It offers reliability and performance of a data warehouse, real-time and low-latency characteristics of a streaming system, and scale and cost-efficiency of a data lake. 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

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 97

Hardware Storage Big Data Blockchain 97

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). Advantages can be harnessed in terms of execution efficiency as well as realizing immersive VR usages for example. Quality vs Bandwidth.

Wireless 54

Wireless IoT Analytics Architecture 54