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
Leveraging Hexagonal Architecture We needed to support the ability to swap data sources without impacting business logic , so we knew we needed to keep them decoupled. We decided to build our app based on principles behind Hexagonal Architecture and Uncle Bob’s Clean Architecture.
Quality attributes usually assessed and analyzed at the architecture level, not at the code level. These various technologies need to be managed and organized to deliver a quality product.
In the ever-evolving software paradigm, oftentimes multiple developers work on the shared code base collaboratively. Code management becomes challenging with the number of developers, the scope of change, the pace of delivery, etc on a shared code base.
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.
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.
Technical debt takes on various forms from source code smells to security risks to the more serious issue of architectural technical debt. What exactly is architectural technical debt and why should I care?
DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. This enables proactive changes such as resource autoscaling, traffic shifting, or preventative rollbacks of bad code deployment ahead of time.
If you are living in the same world as I am, you must have heard the latest coding buzzer termed “ microservices ”—a lifeline for developers and enterprise-scale businesses. Over the last few years, microservice architecture emerged to be on top of conventional SOA (Service Oriented Architecture).
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. Importance of Resiliency in Serverless Architecture As heavenly as serverless sounds, it isn't immune to failures.
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.
One of the toughest decisions your software development team may face as you scale is deciding between keeping your current codebase and rebuilding on new software architecture. Rethink, Restructure, and Rebuild.
When you start learning how to code your main focus is writing code that works correctly for the problem you are solving. Yes, code needs to work correctly and that is a good place to start learning. However, in a real work environment, you also want to ensure you write clean code.
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. Microservices benefits.
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. Microservices benefits.
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.
The IT world is rife with jargon — and “as code” is no exception. “As code” means simplifying complex and time-consuming tasks by automating some, or all, of their processes. Today, the composable nature of code enables skilled IT teams to create and customize automated solutions capable of improving efficiency.
Medallion Architecture provides a framework for organizing data processing workflows into different zones, enabling optimized batch and stream processing. This article explores the concepts of Medallion Architecture and demonstrates how to implement batch and stream processing pipelines using Azure Databricks and Delta Lake.
Dynatrace Delivers Software Intelligence as Code. With this announcement, Dynatrace delivers software intelligence as code, including broad and deep observability, application security, and advanced AIOps (or AI for operations) capabilities. Dynatrace Delivers Most Complete Observability for Multicloud Serverless Architectures.
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.
After laying out the groundwork for this series in the initial article, I spent time sharing who the observability players are, looked at the ongoing discussion around monitoring pillars versus phases, shared thoughts on architectural level choices being made, and shared the open standards available within the open source landscape.
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.
The scalability, agility, and continuous delivery offered by microservices architecture make it a popular option for businesses today. Nevertheless, microservices architectures are not invulnerable to disruptions.
In today's fast-paced software development landscape, microservices have emerged as a popular architectural pattern. This architectural style enables teams to develop and deploy services independently, offering flexibility and scalability to the software development process. But what exactly are microservices?
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.
Broken Apache Struts 2: Technical Deep Dive into CVE-2024-53677The vulnerability allows attackers to manipulate file upload parameters, possibly leading to remote code execution. Introduction Apache Struts 2 is a widely used Java framework for web applications, valued for its flexibility and Model-View-Controller (MVC) architecture.
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). It also detects new containers and injects OneAgent code modules into application pods.
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. Serverless architecture shifts application hosting functions away from local servers onto those managed by providers.
The reality of the startup is that engineering teams are often at a crossroads when it comes to choosing the foundational architecture for their software applications. The allure of a microservice architecture is understandable in today's tech state of affairs, where scalability, flexibility, and independence are highly valued.
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.
Regarding contemporary software architecture, distributed systems have been widely recognized for quite some time as the foundation for applications with high availability, scalability, and reliability goals. Spring Boot's default codes and annotation setup lessen the time it takes to design an application.
Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. But increased speed creates a tradeoff: According to another study, nearly half of organizations consciously deploy vulnerable code because of time pressure. Increased adoption of Infrastructure as code (IaC).
Personalization systems handle the recommendation and serving of titles on these canvases, leveraging a vast ecosystem of microservices, caches, databases, code, and configurations to build these product canvases. What is the architecture of the systems involved? How do we ensure standardization?
This vulnerability, published as CVE-2024-53677 on December 11, 2024, affects the file upload mechanism, allowing for path traversal and potential remote code execution. It utilizes a Model-View-Controller (MVC) architecture to separate business logic, page design, and control flow.
Our colleagues wrote a Netflix Tech Blog post describing the details of this architecture. The transition to the new federated architecture meant that many of our backend teams needed to adopt GraphQL in our Java ecosystem. There are two different approaches to GraphQL development; schema-first and code-first development.
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. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.
Process Automation is defined as “a centerpiece of digitalization efforts” – where workflow engines are used as “a vital building block in modern architectures.” Kevin Montalbo : Welcome to Episode 37 of the Coding Over Cocktails podcast. Transcript. My name is Kevin Montalbo. Hey David!
Now, we are moving toward microservices architecture, where applications are divided into multiple independently deployable services. In this kind of application architecture, it becomes difficult to observe how one service depends on or affects other services. These services have their own goal and logic to serve.
Monitoring applications goes way beyond just writing and deploying code, especially in the cloud-native world. One thing remains the same: maintaining your organization's architecture always requires both a vigilant outlook and an understanding of available open standards.
Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Heterogeneous cloud-native microservice architectures can lead to visibility gaps in distributed traces. Deep-code execution details. Dynatrace news.
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. Interact with data intuitively and easily and benefit from immediate, AI-supported insights.
Function as a service is a cloud computing model that runs code in small modular pieces, or microservices. In a FaaS model, developers can write code functions on demand, without being hindered by dependencies on existing applications. FaaS vs. monolithic architectures. What is FaaS? How does function as a service work?
Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Application architectures might not be conducive to rehosting. From here, it’s time to consider the next level of energy optimization, green coding. Many of the same principles can be applied to green coding.
As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. This gives you deep visibility into your code running in Azure Functions, and, as a result, an understanding of its impact on overall application performance and user experience. 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