Dynatrace

FEBRUARY 15, 2023

Cloud environments have become ever more complex, with an increasingly interconnected set of services. To tame this complexity and deliver differentiated digital experiences, IT, development, security, and business teams need automated workflows throughout these cloud ecosystems.

Code 211

Code DevOps Cloud Analytics 211

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. So, what is ITOps?

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

Scalegrid

FEBRUARY 8, 2024

It utilizes methodologies like DStore, which takes advantage of underused hard drive space by using it for storing vast amounts of collected datasets while enabling efficient recovery processes. 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

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. These modern, cloud-native environments require an AI-driven approach to observability. At AWS re:Invent 2021 , the focus is on cloud modernization.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

JULY 18, 2022

The OpenTelemetry project was created to address the growing need for artificial intelligence-enabled IT operations — or AIOps — as organizations broaden their technology horizons beyond on-premises infrastructure and into multiple clouds. This is only exacerbated by modernization and our move to the cloud.” Unified standard.

Artificial Intelligence 192

Artificial Intelligence Open Source Analytics Monitoring 192

Dynatrace

FEBRUARY 16, 2023

Both development and security teams require information that spans the software development lifecycle to work efficiently on closing gaps and blindspots in security coverage that could lead to a container reaching production unscanned, or with production vulnerabilities in the form of increased cyber-attack risk.

Programming 194

Programming Government Analytics Efficiency 194

Testsigma

SEPTEMBER 9, 2021

Cloud testing, in simple terms, means testing software applications using the resources provided by the cloud. Cloud testing helps an organization gain competitiveness by reducing the cost of testing. By using cloud computing services for testing, organizations or businesses can shorten the provisioning time. No set-up.

Cloud 59

Cloud Testing Mobile Scalability 59

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. billion USD by 2025. Automation Via Distributed Cloud.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

High Scalability

MARCH 22, 2019

Know anyone who needs cloud? I wrote Explain the Cloud Like I'm 10 just for them. skamille : I worry that the cloud is just moving us back to a world of proprietary software. A satellite image of phytoplankton populations or algae blooms in the Baltic Sea. Do you like this sort of Stuff? It has 41 mostly 5 star reviews.

Internet 134

Internet Internet Scalability Wireless 134

Dynatrace

APRIL 26, 2022

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs). One of the key advantages of DEM is its versatility.

Monitoring 203

Monitoring Social Media IoT Metrics 203

Adrian Cockcroft

FEBRUARY 13, 2023

The keynotes didn’t feature anything new on carbon, just re-iterated the existing path to 100% green energy by 2025. There was some new sustainability information that was quietly added to Amazon’s Sustainability in the Cloud page in October 2022 that is significant. But they didn’t go out of their way to promote it.

AWS 64

AWS Energy Architecture Programming 64

Dynatrace

JANUARY 19, 2021

across hybrid and multi-cloud environments?. predicts that, by 2025, 50% of all global enterprises will have deployed serverless function platforms as a service (fPaaS), up from only 20% today. While adjusting to dynamic cloud-native environments, teams can determine?the AI-powered answers, provided by? customers,?we’ve

Lambda 208

Lambda Serverless AWS Mobile 208

Enprowess

JANUARY 12, 2022

billion connected devices by 2025. Internet of things (IoT) – Number of IoT devices 2015-2025 Statista. Increased efficiency and productivity: Resource utilization can be raised, and we can monitor natural resources by identifying the functionality and working of each device. billion by 2025. Smart cities.

Blockchain 59

Blockchain IoT Development Serverless 59

Testsigma

DECEMBER 8, 2019

DevOps has been around for about a decade now and has become a crucial automation process that enables organizations to deploy changes to a system in production quickly and efficiently. Automation Via Distributed Cloud. The Cloud Computing trend is expected to evolve better by transforming into a distributed cloud in 2020.

IoT 78

IoT Software Software Artificial Intelligence 78

All Things Distributed

MAY 3, 2017

According to estimates by Bitkom, the German IT industry association, and the Fraunhofer Institute of Industrial Engineering IAO, Germany's hidden champions will contribute a substantial portion to the country's economic growth by 2025 and create new jobs. can connect seamlessly to the cloud. " Efficient individualization.

Logistics 72

Logistics IoT Analytics Innovation 72

All Things Distributed

SEPTEMBER 4, 2017

Secondly, there is enough affordable computing capacity in the cloud for companies and organizations, no matter what their size, to use intelligent applications. If you can predict demand, you can plan more efficiently. In addition to their potential for things like efficiency and productivity, ML and AI can also be used in education.

Artificial Intelligence 149

Artificial Intelligence Transportation Education Airlines 149