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
More than 90% of enterprises now rely on a hybrid cloudinfrastructure to deliver innovative digital services and capture new markets. That’s because cloud platforms offer flexibility and extensibility for an organization’s existing infrastructure. What is hybrid cloud architecture?
As organizations adopt more cloud-native technologies, the risk—and consequences—of cyberattacks are also increasing. Membership in MISA is nomination-only and reserved for independent software vendors who develop security solutions that effectively integrate with MISA-qualifying Microsoft Security products. Audit logs.
DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. On average, organizations use 10 different tools to monitor applications, infrastructure, and user experiences across these environments.
And it enables executives to have unprecedented insight into how user experiences, applications and underlying infrastructure health can power their business. And for BPX, integrating cloud-native observability with AWS has created a path to greater agility, automation, and operational excellence.
That’s where hyperconverged infrastructure, or HCI, comes in. What is hyperconverged infrastructure? Hyperconverged infrastructure (HCI) is an IT architecture that combines servers, storage, and networking functions into a unified, software-centric platform to streamline resource management.
Infrastructure as code is a way to automate infrastructure provisioning and management. And it’s a crucial step toward achieving cloud automation on the path to NoOps. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code.
Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. Many organizations respond by adding a proliferation of infrastructure monitoring tools, which in many cases, just adds to the noise. Dynatrace news.
Containerization simplifies the software development process because it eliminates dealing with dependencies and working with specific hardware. But, it can be quite confusing how to run a container on the cloud. You could certainly deploy these containers to servers on your cloud provider using Infrastructure as a Service (IaaS).
In fact, according to a Dynatrace global survey of 1,300 CIOs , 99% of enterprises utilize a multicloud environment and seven cloud monitoring solutions on average. What is cloud monitoring? Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.
We can plausibly say the enterprise development market turned the tide on cloud-native development in 2020, as most net-new software and serious overhaul projects started moving toward microservices architectures, with Kubernetes as the preferred platform.
As recent events have demonstrated, major software outages are an ever-present threat in our increasingly digital world. From business operations to personal communication, the reliance on software and cloudinfrastructure is only increasing.
The annual Google Cloud Next conference explores the latest innovations for cloud technology and Google Cloud. Google Cloud users will come together to learn from Google experts and partners on topics from generative AI to cloud operations and security.
But it’s not easy: to pull this off, VFX studios need to build and operate serious technical infrastructure (compute, storage, networking, and software licensing), otherwise known as a “ render farm.” Without cloud-based rendering, this ambitious project would not have met its targeted delivery date!
In today’s digital world, software is everywhere. Software is behind most of our human and business interactions. This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. What is software automation? What is software analytics?
In recent years, the cloud computing environment has seen a dramatic transition. The advent of the Software-Defined Cloud is one of the most significant shifts. This innovative approach is changing the way we think about, construct, and manage cloudinfrastructure.
That’s why cloud cost optimization is becoming a major priority regardless of where organizations are on their digital transformation journeys. In fact, Gartner’s 2023 forecast is for worldwide public cloud spending to reach nearly $600 billion. These costs also have an environmental impact. Utilization. Architecture.
Several years back, virtualization became a buzzword in the industry that flourished, evolved, and became famously known as Cloud computing. In other words, it includes sharing services like programming, infrastructure, platforms, and software on-demand on the cloud via the internet.
GigaOm recently released its 2024 Radar Report for Cloud Observability, which includes 21 observability solution providers and analyzes each on their current and emerging features. For example, suppose a company has standardized on a suite of disparate tools to monitor its infrastructure and apps.
Infrastructure and operations teams must maintain infrastructure health for IT environments. Traditional tools struggle with the intricacy of modern cloud services and containerized applications. The complex interconnections in cloud-based systems make it crucial to always have a topological overview to understand dependencies.
AWS Security Hub findings AWS Security Hub provides a great way of aggregating security findings, especially those related to cloudinfrastructure. Findings from various stages of the Software Development Lifecycle (SDLC) are mixed in: code scans, build scans, and runtime. This increases the number of findings to prioritize.
But as more organizations adopt cloud-native technologies and distribute workloads among multicloud environments, that goal seems harder to attain. In fact, a recent survey found that many cloud applications are vulnerable to outages , despite growing confidence in cloud platforms and services. What is always-on infrastructure?
We are living in a world where the internet is an inseparable part of our lives, and with the growth of Cloud computing and increased demand for AI/ML-based applications, the demand for network capacity is unstoppable. Network management is getting complex due to the sheer amount of network infrastructure and links.
Cloud application security is becoming more of a critical issue as cloud-based applications gain popularity. The cloud allows a modular approach to building applications, enabling development and operations teams to create and deploy feature-rich apps very quickly. What is cloud application security?
Cloud observability can bring business value, said Rick McConnell, CEO at Dynatrace. Organizations have clearly experienced growth, agility, and innovation as they move to cloud computing architecture. But without effective cloud observability, they continue to experience challenges in their cloud environments.
Dynatrace enables our customers to monitor and optimize their cloudinfrastructure and applications through the Dynatrace Software Intelligence Platform. A big part to the success within Dynatrace is that we use Dynatrace® across the software lifecycle on our own software projects. Dynatrace news.
As cloud environments become increasingly complex, legacy solutions can’t keep up with modern demands. As a result, companies run into the cloud complexity wall – also known as the cloud observability wall – as they struggle to manage modern applications and gain multicloud observability with outdated tools.
Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. As cloud complexity grows, it brings more volume, velocity, and variety of log data. Managing this change is difficult.
Indeed, organizations view IT modernization and cloud computing as intertwined with their business strategy and COVID-19 recovery plans. As a result, reliance on cloud computing for infrastructure and application development has increased during the pandemic era. AWS re:Invent 2021: Modernizing for cloud-native environments.
Managing cloud performance is increasingly challenging for organizations that spread workloads across a greater variety of platforms. According to the Dynatrace “2022 Global CIO Report,” 79% of large organizations use multicloud infrastructure. Rural lifestyle retail giant Tractor Supply Co.
Cloud-native CI/CD pipelines and build processes often expose Kubernetes to attack vectors via internet-sourced container images. This is particularly vital for securing observability solutions like Dynatrace® Kubernetes infrastructure observability, application observability, and Application Security.
Cloud-native technologies, including Kubernetes and OpenShift, help organizations accelerate innovation. Open source has also become a fundamental building block of the entire cloud-native stack. Why cloud-native applications, Kubernetes, and open source require a radically different approach to application security.
Why organizations are turning to software development to deliver business value. Digital immunity has emerged as a strategic priority for organizations striving to create secure software development that delivers business value. Software development success no longer means just meeting project deadlines. Autonomous testing.
Today’s organizations face increasing pressure to keep their cloud-based applications performing and secure. Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture.
Modern, cloud-native computing is impossible to separate from containers and Kubernetes adoption. The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing.
Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion.
Cloud-native applications now dominate IT as DevOps teams respond to growing demands to deliver functionality faster and more securely. As DevOps teams are pivoting to cloud-native technologies, IT environments have become increasingly complex. Cloud-native is the preferred way of delivering applications. Dynatrace news.
How can you reduce the carbon footprint of your hybrid cloud? This is a rather simple move as it doesn’t directly impact your infrastructure, just your contract with your electricity provider. energy-efficient data centers—cloud providers—achieve values closer to 1.2. Is the solution to just move all workloads to the cloud?
Most infrastructure and applications generate logs. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events. This is critical to ensure high performance, security, and a positive user experience for cloud-native applications and services.
Software and data are a company’s competitive advantage. That’s because every company is now a software company. As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. That’s exactly what a software intelligence platform does.
These are two values he shares with DevOps activist Andreas Grabner, who sat down with Hightower at Dynatrace Perform 2022 to talk about taming Kubernetes and the future of cloud-native technologies. While Kubernetes has transformed how organizations build and deliver software, it is part of a larger context.
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.
In the changing world of data centers and cloud computing, the desire for efficient, flexible, and scalable networking solutions has resulted in the broad use of Software-Defined Networking (SDN). Traditional networking models have a tightly integrated control plane and data plane within network devices.
In turn, it sets the stage for fast, functional, and reliable software development. Cloud-native observability and artificial intelligence (AI) can help organizations do just that with improved analysis and targeted insight. Cloud-native observability delivers enhanced Kubernetes insight. That’s where AIOps comes in.
Cloud observability is fast becoming an imperative as more organizations adopt multicloud IT strategies. To adapt, many are turning to AIOps and other automation technologies to solve the complex issues that accompany cloud-native architecture. Multicloud complexity obscures cloud observability. Dynatrace news.
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