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Cloud-native architectures have brought immense complexity along with increased business agility. By leveraging Davis AI and other core platform capabilities, Dynatrace provides intelligent observability and automation from code to production to help teams build, run, and optimize modern cloud-native applications.
DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. Moreover, teams are constantly dealing with continuously evolving cyberthreats to data both on premises and in the cloud.
What developers want Developers want to own their code in a distributed, ephemeral, cloud, microservices-based environment. This ownership starts with understanding how their code behaves in all environments, resolving issues, and writing and optimizing code in a high-quality, secure, and timely manner.
Discover how Livi navigated the complexities of transitioning MJog, a legacy healthcare system, to a cloud-native architecture, sharing valuable insights for successful tech modernization. Our experience illustrates that transitioning from legacy systems to cloud-based microservices is not a one-time project but an ongoing journey.
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. Dynatrace Runtime Security delivers advanced protection for cloud-native and on-premises applications.
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?
Serverless architecture is a way of building and running applications without the need to manage infrastructure. You write your code, and the cloud provider handles the rest - provisioning, scaling, and maintenance. AWS offers various serverless services, with AWS Lambda being one of the most prominent.
Many organizations are taking a microservices approach to IT architecture. However, in some cases, an organization may be better suited to another architecture approach. Therefore, it’s critical to weigh the advantages of microservices against its potential issues, other architecture approaches, and your unique business needs.
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. Architecture. These costs also have an environmental impact. Utilization.
This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. ” it helps to understand the monolithic architectures that preceded them. Understanding monolithic architectures.
This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. ” it helps to understand the monolithic architectures that preceded them. Understanding monolithic architectures.
Lifting and shifting applications from the data center to the cloud delivers only marginal benefits. Because cloud computing breaks application functions into many microservices, porting monolithic applications to the cloud unchanged can slow them down. So, what is cloud-native architecture, exactly?
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.
How can you reduce the carbon footprint of your hybrid cloud? Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. energy-efficient data centers—cloud providers—achieve values closer to 1.2. Is the solution to just move all workloads to the cloud?
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?
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.
However, with these benefits come complexities in terms of cloud management, Kubernetes observability, and automation, making it imperative for enterprises to address these intricacies to enhance reliability, performance, and resource usage. So many tools can result in data inconsistencies.
Modern observability that helps teams securely regain control of complex, dynamic, ever-expanding cloud environments can be game-changing. Dynatrace Delivers Software Intelligence as Code. Dynatrace Delivers Most Complete Observability for Multicloud Serverless Architectures. They’re really getting more of a system.”?.
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.
More than 90% of enterprises now rely on a hybrid cloud infrastructure 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 cloudarchitecture?
Autonomous Cloud Enablement (ACE) and Keptn – the Event-Driven Autonomous Cloud Control Plane – are helping our Dynatrace customers to automate their delivery and operations processes. There’s more from Christian and the rest of the Keptn and Autonomous Cloud community that we can all benefit from. Dynatrace news.
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.
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.
I am excited to announce that ISG analysts positioned Dynatrace highest for portfolio attractiveness and competitive strength in the Cloud-Native Observability Solutions Quadrant. . Dynatrace’s deep understanding of enterprises’ cloud-native needs stand s out .
Welcome to another chapter in the ongoing series I started covering my journey into the world of cloud-native observability. I continued onwards with a few of the architectural challenges you might encounter when older monolithic applications and monitoring tools are still part of an organization's infrastructure landscape.
As a leader in cloud infrastructure and platform services , the Google Cloud Platform is fast becoming an integral part of many enterprises’ cloud strategies. Simplified cloud complexity with fully automated observability of Google Cloud. Dynatrace news.
Dynatrace enables our customers to monitor and optimize their cloud infrastructure and applications through the Dynatrace Software Intelligence Platform. For that reason, we started a simple load-test scenario where we flooded our event-based system with 100 cloud-events per minute. Dynatrace news. Can we fix it? Yes, we can!
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. Dynatrace news. Connecting data siloes requires daunting integration endeavors.
Cloud-native CI/CD pipelines and build processes often expose Kubernetes to attack vectors via internet-sourced container images. Compliance : Adhering to stringent security standards helps meet regulatory and compliance requirements for cloud-native environments. Reference the container image in the DynaKube.
For IT teams seeking agility, cost savings, and a faster on-ramp to innovation, a cloud migration strategy is critical. Cloud migration enables IT teams to enlist public cloud infrastructure so an organization can innovate without getting bogged down in managing all aspects of IT infrastructure as it scales. Dynatrace news.
More organizations than ever are undertaking cloud migration as digital transformation continues to gain momentum across every industry in every region. But what does it take to migrate your existing applications to the cloud? What is cloud migration? However, it can also mean migrating from one cloud to another.
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 cloudarchitecture.
It reveals the majority of organizations have adopted multicloud environments, cloud-native architectures, and open source code libraries to support efforts to deliver new digital solutions to customers. The impact of open source code on runtime application security.
As more organizations invest in a multicloud strategy, improving cloud operations and observability for increased resilience becomes critical to keep up with the accelerating pace of digital transformation. Additionally, PurePath provides distributed tracing with code-level detail at scale with contextual data. ski explains.
As more organizations transition to distributed services, IT teams are experiencing the limitations of traditional monitoring tools, which were designed for yesterday’s monolithic architectures. Observability defined. Where traditional monitoring falls flat. Then teams can leverage and interpret the observable data.
For many companies, the journey to modern cloud applications starts with serverless. To get a better understanding of AWS serverless, we’ll first explore the basics of serverless architectures, review AWS serverless offerings, and explore common use cases. Serverless architecture: A primer. Dynatrace news. Reliability.
On the other hand, deploying new code on the backend is complex and offers no such transparency. With Dynatrace Live Debugger, you can set a non-breaking breakpoint and instantly see if new code is following the intended new paths, if any new arguments are being considered, and if input and output arguments are aligned with expectations.
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.
I’m going to revisit the Dynatrace digital transformation in this blog, because it is also an excellent story that began our journey to Autonomous Cloud Management (ACM). True quality of the code was not fully known until post release, when scores of tickets came in, making Dynatrace engineers blind to the quality of code in production.
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. New cloud-native technologies make observability more important than ever….
You think you’ve achieved observability through multiple cloud monitoring tools, but they’re fragmented, and teams are siloed, so no one has the context to identify the answers. Organizations are rapidly adopting multicloud architectures to achieve the agility needed to drive customer success through new digital service channels.
Observability should be as cloud-native as Kubernetes itself. Both Kubernetes monitoring and routing capabilities now use a containerized architecture and are managed by the new Dynatrace Operator. The post New Dynatrace Operator elevates cloud-native observability for Kubernetes appeared first on Dynatrace blog.
Transforming an application from monolith to microservices-based architecture can be daunting, and knowing where to start can be difficult. Unsurprisingly, organizations are breaking away from monolithic architectures and moving toward event-driven microservices. Likewise, refactoring and rewriting code takes a lot of time and effort.
When organizations move toward the cloud, their systems also lean toward distributed architectures. It enables teams to quickly pinpoint the root cause of issues, fix them and optimize the application performance, giving them the confidence to deliver code faster. One of the most common examples is the adoption of microservices.
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