Dynatrace

NOVEMBER 2, 2022

Organizations have increasingly turned to software development to gain competitive edge, to innovate and to enable more efficient operations. Autonomous testing. As teams develop software more quickly, they can’t rely on manual methods to test applications. Chaos engineering. Continuous validation.

Software 192

Software Software Artificial Intelligence DevOps 192

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

Dynatrace

JUNE 1, 2022

Vulnerability management continues to be a key concern as organizations strive to innovate more rapidly and adopt cloud-native technologies to achieve their goals. But with cloud-based architecture comes greater complexity and new vulnerability challenges. CISOs want—but lack — visibility into runtime threats.

Artificial Intelligence 177

Artificial Intelligence Java Strategy Cloud 177

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 185

Artificial Intelligence Tuning Strategy Big Data 185

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

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 229

Artificial Intelligence Monitoring Infrastructure Cloud 229

Dynatrace

MAY 4, 2023

According to the Dynatrace 2023 CIO Report , 34% of CIOs reported that they must sacrifice security to meet the demand for faster innovation. Integrating security into development and operations frameworks also improves testing, validation, and distribution practices with a continual feedback loop.

DevOps 209

DevOps Speed Innovation Open Source 209

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. At some point the debt reaches a tipping point where the high costs of maintenance prevent innovation. Dynatrace news. Many of us are already familiar with technical debt.

Artificial Intelligence 147

Artificial Intelligence Traffic Efficiency Innovation 147

Adrian Cockcroft

NOVEMBER 30, 2020

I’m also interested in ways that we can optimize cloud architectures to reduce their carbon footprint. Climate Pledge Arena: The future of innovation and sustainability ZWL207 ?—?Empowering Test drive the Accenture EV roaming platform IOT205 ?—?How Fighting wildfire with artificial intelligence ZWL201 ?—?Scaling

AWS 52

AWS Artificial Intelligence IoT Energy 52

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 182

DevOps Artificial Intelligence Government Innovation 182

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 208

Artificial Intelligence DevOps Innovation Metrics 208

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 192

DevOps Artificial Intelligence Healthcare Innovation 192

Scalegrid

FEBRUARY 8, 2024

Distributed storage technologies use innovative tools such as Hive, Apache Hadoop, and MongoDB, among others, to proficiently deal with processing extensive volumes encountered in multiple-node-based systems. This integration enhances the flexibility of cloud services while bolstering their computational and storage functions.

Storage 130

Storage Systems Big Data Azure 130

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

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

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 239

Best Practices Analytics Artificial Intelligence Infrastructure 239

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

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

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 231

Artificial Intelligence Strategy Traffic Virtualization 231