This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
The rapid evolution of cloud technology continues to shape how businesses operate and compete. These innovations promise to streamline operations, boost efficiency, and offer deeper insights for enterprises using AWS services. This solution aligns to the AWS Well-Architected Framework.
DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. Indeed, around 85% of technology leaders believe their problems are compounded by the number of tools, platforms, dashboards, and applications they rely on to manage multicloud environments.
As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. Traditional monolithic architectures are built around the concept of large applications that are self-contained, independent, and incorporate myriad capabilities. What is monolithic architecture?
To understand the root cause, the Dynatrace AI engine, Davis®, uses AI-driven PurePath technology to analyze the journey of an individual user request in the browser and trace all the way to the back end to see how it’s contributing to the problem, down to the line of code that was called. More about Kubernetes. Get your free eBook now!
Part of what drives our success is our broad technology partner ecosystem, enabling our company to deliver a world-class managed IT service platform to our customers. The Dynatrace Platform already supported over 60 technologies and an extensible architecture – making Dynatrace the natural choice.
At the time when I was building the most innovative observability company, security seemed too distant. More technology, more complexity The benefits of cloud-native architecture for IT systems come with the complexity of maintaining real-time visibility into security compliance and risk posture.
Today, organizations face unprecedented challenges, including COVID-19 recovery, economic uncertainty, and technological disruption. Software should forward innovation and drive better business outcomes. Conversely, an open platform can promote interoperability and innovation.
To keep pace with the need for innovation and increasing demand, developers need to divvy up resources into “microservices” based on requirements and distribute applications accordingly — as opposed to maintaining a monolithic codebase and resource pool. Understanding monolithic architectures. Dynatrace news.
To keep pace with the need for innovation and increasing demand, developers need to divvy up resources into “microservices” based on requirements and distribute applications accordingly — as opposed to maintaining a monolithic codebase and resource pool. Understanding monolithic architectures. Dynatrace news.
positive customer experience via technology is the backbone of the business. We pride ourselves on customer care and clean, safe facilities,” says Ken Schirrmacher, chief technology officer at Park ‘N Fly, during a webinar on the role of IT automation, AIOps, and observability at the company. IT automation speeds code development.
Without observability, the benefits of ARM are lost Over the last decade and a half, a new wave of computer architecture has overtaken the world. ARM architecture, based on a processor type optimized for cloud and hyperscale computing, has become the most prevalent on the planet, with billions of ARM devices currently in use.
At the Dynatrace Innovate conference in Barcelona, Bernd Greifeneder, Dynatrace chief technology officer, discussed key examples of how the Dynatrace observability platform delivers value well beyond traditional monitoring. As a result, the team found that cloud architecture had resulted in overprovisioning of resources.
In today's fast-paced digital landscape, organizations are increasingly embracing multi-cloud environments and cloud-native architectures to drive innovation and deliver seamless customer experiences. They enable developers, engineers, and architects to drive innovation, but they also introduce new challenges."
In his keynote address on the first day of Perform 2023 in Las Vegas, Dynatrace Chief Technology Officer Bernd Greifeneder and his colleagues discussed how organizations struggle with this problem and how Dynatrace is meeting the moment. Logs on Grail Log data is foundational for any IT analytics. .
The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. In the end, however, all these technologies must work together.
Architects, DevOps, and cloud engineers are gradually trying to understand which is better to continue the journey with: the API gateway, or adopt an entirely new service mesh technology?
To create a CPU core that can execute a large number of instructions in parallel, it is necessary to improve both the architecturewhich includes the overall CPU design and the instruction set architecture (ISA) designand the microarchitecture, which refers to the hardware design that optimizes instruction execution.
Scalable software architectures are the backbone of efficient and flexible production lines, enabling manufacturers to meet the increasing demands for innovative display technologies. As display manufacturing continues to evolve, the demand for scalable software solutions to support automation has become more critical than ever.
The IDC FutureScape: Worldwide IT Industry 2020 Predictions highlights key trends for IT industry-wide technology adoption for the next five years and includes these predictions: Hasten to innovation. By 2024, over 50% of all IT spending will be directly put towards digital transformation and innovation (up from 31% in 2018).
Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. To combat the cloud management inefficiencies that result, IT pros need technologies that enable them to gain insight into the complexity of these cloud architectures and to make sense of the volumes of data they generate.
To unlock the agility to drive this innovation, organizations are embracing multicloud environments and Agile delivery practices. This fragmented approach leaves teams struggling to access the answers they need to accelerate innovation and optimize digital services effectively.
They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. See how Dynatrace Log Management and Analytics enables any analysis at any time with Grail technology.
Cloud-native technologies are driving the need for organizations to adopt a more sophisticated IT monitoring approach to satisfy the competitive demands of modern business. With hybrid and multi-cloud architectures rendering organizations’ environments more complex and distributed, cloud observability has become increasingly important.
To do so, we continuously push the boundaries of streaming video quality and leverage the best video technologies. Our approach to NN-based video downscaling The deep downscaler is a neural network architecture designed to improve the end-to-end video quality by learning a higher-quality video downscaler.
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. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.
As part of the Cloud – Native Container Services report, ISG designed the Cloud-Native Observability Quadrant to help organizations select the best observability solution for cloud-native environments that use Kubernetes, service mesh, microservices, and serverless architectures. Dynatrace news.
Today, businesses are racing ever faster to accommodate customer demands and innovate without sacrificing product quality or security. As they increase the speed of product innovation and software development, organizations have an increasing number of applications, microservices and cloud infrastructure to manage. For our complete?
Want to learn more about how zero trust architecture can improve government user experiences? Read the blog User experience and DevSecOps make a positive impact Sandia National Laboratories has made remarkable contributions to national security and technologyinnovation.
Teams need a better way to work together, eliminate silos and spend more time innovating. Trace your application Imagine a microservices architecture with hundreds of dependencies. This architecture also means you’re not required to determine your log data use cases beforehand or while analyzing logs within the new logs app.
We’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Power architecture (ppc64le). Captures metrics, traces, logs, and other telemetry data in context.
However, organizational efficiency can’t come at the expense of innovation and growth. As a result, teams can accelerate the pace of digital transformation and innovation instead of cutting back. 3: DevSecOps matures into SecDevBizOps as cyber – insurance demands that every innovator is responsible for minimizing risk.
More seamless handoffs between tasks in the toolchain can improve DevOps efficiency, software development innovation, and better code quality. Today, organizations of all kinds are under increasing pressure to innovate faster, meet customer expectations, and stay on the positive side of the revenue equation.
As legacy monolithic applications give way to more nimble and portable services, the tools once used to monitor their performance are unable to serve the complex cloud-native architectures that now host them. This complexity makes distributed tracing critical to attaining observability into these modern environments.
How To Develop Your Business’ Technology Roadmap. How To Develop Your Business’ Technology Roadmap. At some point, though, we need to sit down with clients and give them a sometimes sobering reality: software development without a business technology roadmap can be a lot like driving aimlessly from point A to point Z.
As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. As DevSecOps practices gather steam in 2022, there are several concurrent technology trends that will likely further DevSecOps adoption. Serverless architecture expands. Dynatrace news.
As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Understand and optimize your architecture. Dynatrace news.
As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. But only 21% said their organizations have established policies governing employees’ use of generative AI technologies.
This is especially true as organizations rely more on diverse and nimble cloud-native and open source technologies. In a recent conversation at Dynatrace Innovate in Barcelona, Spain, with Liisa Tallinn, product manager of application security at Dynatrace, Domenella explained how it works. What is security by design?
Motivation With the rapid growth in Netflix member base and the increasing complexity of our systems, our architecture has evolved into an asynchronous one that enables both online and offline computation. Architecture As shown in the diagram above, the RENO service can be broken down into the following components.
now powered by Kotlin Multiplatform By David Henry & Mel Yahya Over the last few years Netflix has been developing a mobile app called Prodicle to innovate in the physical production of TV shows and movies. The need for fast product delivery led us to experiment with a multiplatform architecture.
But the cloud is forcing a rethink of tooling, platforms, technologies, and services to power new, agile, applications and application components, that break down silos, and use AI and automation to accelerate innovation. The cloud is where Enterprise organizations are transforming, and dynamic multi-clouds are the platform of choice.
As we did with IBM Power , we’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Z and LinuxONE architecture (s390x).
As organizations update their IT environments with the latest cloud-native technologies and architectures, teams need to weigh the effectiveness of traditional monitoring vs. modern, observability-based solutions to decide how to solve their existing challenges amid the growing complexity of their dynamic, multi-cloud environments.
Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Manual troubleshooting is painful, hurts the business, and slows down innovation.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content