Dynatrace

APRIL 21, 2023

Critical application outages negatively affect citizen experience and are costly on many fronts, including citizen trust, employee satisfaction, and operational efficiency. By detecting errors and bugs before they’re deployed to production, we save money on development and testing and better serve the citizens of our state.”

Innovation 181

Innovation Speed Artificial Intelligence Government 181

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

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. Testing automation can be painstaking. How does IT automation work?

Artificial Intelligence 187

Artificial Intelligence Tuning Strategy Big Data 187

Dynatrace

MARCH 10, 2021

This week Dynatrace achieved Amazon Web Services (AWS) Machine Learning Competency status in the new Applied Artificial Intelligence (Applied AI) category. This is exciting because we are seeing AI and ML-driven applications maturing rapidly as a way of mastering performance in hybrid, hyper-scale cloud environments.

AWS 143

AWS Cloud Artificial Intelligence Innovation 143

Testsigma

MAY 15, 2021

As the complexities of the software applications increased, the need for software testing became more and more apparent. That was when Manual testing of software applications came into being. Soon, when the software was big and hefty, manual testing became a hectic and time-consuming job too.

Testing Tools 52

Testing Tools Artificial Intelligence Testing Programming 52

Dynatrace

NOVEMBER 8, 2021

Here’s a brief primer on APM and how it has changed for cloud-native environments, and some tips on what to look for in modern APM solutions. In recent years, APM has expanded to encompass cloud-native environments and distributed applications composed of microservices. But what differentiates one APM offering from another?

Artificial Intelligence 231

Artificial Intelligence Monitoring Infrastructure Cloud 231

Testsigma

DECEMBER 21, 2020

As the world moves forward, it wants to progress, more efficiency, more speed, and the same is the case with the software development industry. Software Testing being a major part of software development also needs more efficiency. There are plenty of regression testing automation tools available in the market today.

Artificial Intelligence 52

Artificial Intelligence Testing Testing Tools Efficiency 52

Dynatrace

DECEMBER 16, 2019

And while the concept is not new, the disruptions of cloud transformation and increasing time-to-market pressures shine a bright light on its many downsides. The sudden lure of artificial intelligence (AI) and machine learning (ML) systems designed for IT brings new urgency to the topic of intellectual debt. Dynatrace news.

Artificial Intelligence 148

Artificial Intelligence Traffic Efficiency Innovation 148

Dynatrace

MAY 4, 2023

But without intelligent automation, they’re running into siloed processes and reduced efficiency. Integrating security into development and operations frameworks also improves testing, validation, and distribution practices with a continual feedback loop. However, silos have become a problem for many DevSecOps frameworks.

DevOps 211

DevOps Speed Innovation Open Source 211

Adrian Cockcroft

NOVEMBER 30, 2020

This is becoming topical as governments and public companies around the world are looking for efficient and standardized ways to report their sustainability impact, and investors and asset managers are looking for common datasets and models to base their risk analysis on. Test drive the Accenture EV roaming platform IOT205 ?—?How

AWS 52

AWS Artificial Intelligence IoT Energy 52

Tech News Gather

JULY 18, 2023

These apps offer several benefits for both patients and providers including convenience, accessibility, efficiency, and cost-effectiveness. Healthcare web apps improve the quality and efficiency of healthcare services as they bring down costs, and improve patient satisfaction and positive engagement.

Healthcare 52

Healthcare Social Media Development Artificial Intelligence 52

Testsigma

SEPTEMBER 21, 2019

In layman terms, AI or Artificial intelligence is the area of computer science that focuses on making machines “intelligent.” And by intelligence, it means making the system capable of learning and taking decisions like humans. Why does Software Testing industry Need AI? No more flaky tests! What is AI?

Software 51

Software Software Testing Artificial Intelligence 51

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

Dynatrace

APRIL 22, 2024

In response to the scale and complexity of modern cloud-native technology, organizations are increasingly reliant on automation to properly manage their infrastructure and workflows. DevOps automation eliminates extraneous manual processes, enabling DevOps teams to develop, test, deliver, deploy, and execute other key processes at scale.

DevOps 184

DevOps Artificial Intelligence Government Innovation 184

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 210

Artificial Intelligence DevOps Innovation Metrics 210

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

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. But before that new code can be deployed, it needs to be tested and reviewed from a security perspective. AIOps use cases.

DevOps 194

DevOps Artificial Intelligence Healthcare Innovation 194

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. Organizations need a more proactive approach to log management to tame this proliferation of cloud data.

Best Practices 242

Best Practices Analytics Artificial Intelligence Infrastructure 242

Testsigma

MAY 19, 2021

DevOps and cloud-based computing have existed in our life for some time now. Today, we are here to talk about the successful amalgamation of DevOps and cloud-based technologies that is amazing in itself. Why Opt For Cloud-Based Solutions and DevOps? Cloud-based solutions are extremely fast when combined with DevOps.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

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 207

Analytics Monitoring Artificial Intelligence DevOps 207

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Testsigma

SEPTEMBER 28, 2021

Even though they were managing quite well with manual testers and in-house test automation setup, they know this arrangement cannot work for long. They also know that automation testing is gaining popularity and it is one of the strategies to get hold of ROI faster. Test creation – Easier with a friend.

Testing Tools 52

Testing Tools Mobile Testing Artificial Intelligence 52

O'Reilly

NOVEMBER 28, 2023

Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

O'Reilly

SEPTEMBER 19, 2023

Cloud computing? 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. You can see a simulation as a temporary, synthetic environment in which to test an idea. Specifically, through simulation. Next up is compute power.

Hardware 99

Hardware Storage Big Data Blockchain 99

KeyCDN

MARCH 14, 2019

It can be used to decouple your frontend from your backend and improve server efficiency. Serverless frameworks like Nuclio let you utilize cloud technology to reduce your workload, improve scaling and save money on unused resources. Major cloud providers like AWS, Microsoft Azure, and Google Cloud all support serverless services.

Development 101

Development Blockchain Serverless Social Media 101

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. Many changes are rendered through automated testing. IoT Test Automation.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Testsigma

JANUARY 7, 2022

Maintaining the same efficiency as the in-office setup is not possible if you are indulged in a complicated connection of multiple tool – you would need a good tool that not only supports but facilitates the work no matter what location you are working from. Cloud-based infrastructure. Technical capabilities.

Testing 52

Testing Social Media Artificial Intelligence Cloud 52

Testsigma

DECEMBER 8, 2019

In this article, we will be talking about the technologies and techniques that are expected to become test automation trends in 2020. The highlights of the top test automation trends that we will be discussing in this article are: Integration of Automation of different processes to enable improved and enhanced end to end automation for eg.

IoT 78

IoT Software Software Artificial Intelligence 78

Dynatrace

JANUARY 4, 2024

Artificial intelligence is rapidly transforming the world around us, with applications based on AI emerging in virtually every industry and sector. Then, Dynatrace converts this data into precise answers that customers need to simplify cloud operations and deliver flawless and secure digital experiences using a responsible AI approach.

Artificial Intelligence 233

Artificial Intelligence Strategy Traffic Virtualization 233