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by Damir Svrtan and Sergii Makagon As the production of Netflix Originals grows each year, so does our need to build apps that enable efficiency throughout the entire creative process. We decided to build our app based on principles behind Hexagonal Architecture and Uncle Bob’s Clean Architecture.
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. Dynatrace news.
RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. This article outlines the key differences in architecture, performance, and use cases to help determine the best fit for your workload. What is RabbitMQ? What is Apache Kafka?
The amount of data we capture in any field is increasing exponentially, which requires a technology that can process large amounts of data in a short duration. One such technology would be Apache Spark.
Part 3: System Strategies and Architecture By: VarunKhaitan With special thanks to my stunning colleagues: Mallika Rao , Esmir Mesic , HugoMarques This blog post is a continuation of Part 2 , where we cleared the ambiguity around title launch observability at Netflix. The request schema for the observability endpoint.
This blog post dissects the vulnerability, explains how Struts processes file uploads, details the exploit mechanics, and outlines mitigation strategies. Introduction Apache Struts 2 is a widely used Java framework for web applications, valued for its flexibility and Model-View-Controller (MVC) architecture.
Recently, a critical vulnerability was discovered in Apache Struts, a widely used Java-based web application framework. The Apache Struts CVE-2024-53677 vulnerability Apache Struts is a popular open-source framework for dynamic web applications with Java.
The risk of impact from an existing known vulnerability also depends on whether certain processes are using the vulnerable parts of a software component. Let’s assume the Java library shown in figure 1 is affected by vulnerability CVE-2024-XYZ. Process group 1 doesn’t use the function that contains the vulnerability.
Java, Go, and Node.js Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments. Specifically, they provide asynchronous communications within microservices architectures and high-throughput distributed systems. Java, Go, and Node.js
DevSecOps teams can address this unsettling tradeoff by automating processes throughout the SDLC, centralizing application configuration with a shared set of tools, and using observability platforms to gain visibility into code-quality lapses, security gaps, and other software development issues. and 2.14.1.
Our Journey so Far Over the past year, we’ve implemented the core infrastructure pieces necessary for a federated GraphQL architecture as described in our previous post: Studio Edge Architecture The first Domain Graph Service (DGS) on the platform was the former GraphQL monolith that we discussed in our first post (Studio API).
Monitoring SAP products can present challenges Monitoring SAP systems can be challenging due to the inherent complexity of using different technologies—such as ABAP, Java, and cloud offerings—and the sheer amount of generated data. Architectural overview. It can also directly access database tables under the strict control of DBAs.
Because 60% of developers use Spring for their Java applications , many applications are potentially affected. Spring is a widely used open source Java-based framework for building web applications with the Java Enterprise Edition platform. Further, the report lists Tomcat as the most popular Java application server.
In a federated graph architecture, how can we answer such a query given that each entity is served by its own service? Architecture Putting this all together, below you can see a simplified view of the architecture. This was done using graphql-java. Data Mesh streams are schematized with Avro.
Cloud-native CI/CD pipelines and build processes often expose Kubernetes to attack vectors via internet-sourced container images. Incorporating signed Dynatrace containers into your pipeline To enhance security in CI/CD processes, Dynatrace customers can integrate verified Dynatrace container images into their deployment pipelines.
It requires an understanding of cloud architecture and distributed systems, with the goal of automating processes. Cloud infrastructure and applications scale dynamically, which generates a large volume of logs at high This can make it challenging to process, store, and analyze them in real time. Time and resources.
If you’re interested in how we use Java at Netflix, Paul Bakker’s talk How Netflix Really Uses Java , is a great place to start. In fact, we’ve found for our services and architecture that there is no such trade off. Reference processing is also only performed in major collections with ZGC.
But with cloud-based architecture comes greater complexity and new vulnerability challenges. Log4Shell was a zero-day vulnerability in Log4j, a popular Java logging framework. Log4Shell enables a malicious actor to execute Java code and take control of a target server.
Dynatrace Smartscape provides a near-real-time environment topology visualization of all the dependencies across the infrastructure, process, and services. From a cloud adoption standpoint, Smartscape helps to do the following: Adjust service architecture or infrastructure to improve application performance. www.gcp.hipstershop.com).
Applications are a common source of security breaches but the prevalence of cloud-native architectures, open source, third-party libraries, and container runtime environments makes the management of modern IT environments complex. As a result, security teams struggle with: Manual processes —installation, configuration and invocation.
Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication.
Further, these resources support countless Kubernetes clusters and Java-based architectures. Each process could generate multiple log entries, adding up to terabytes of data every day. Traditionally, teams struggle to centralize all these data silos through the process of indexing. Cost-effective architecture.
Spring4Shell: Detect and mitigate new zero-day vulnerabilities in the Java Spring Framework – blog. Spring4Shell vulnerabilities expose Java Spring Framework apps to exploitation. In modern cloud-native environments, which rely on microservices architectures, application teams that are responsible for innovation face some dilemmas.
Additionally, blind spots in cloud architecture are making it increasingly difficult for organizations to balance application performance with a robust security posture. Whether multicloud or hybrid , public or private, cloud-native architecture offers flexibility and agility to help organizations deliver software faster.
As digital transformation accelerates, organizations turn to hybrid and multicloud architectures to innovate, grow, and reduce costs. But the complexity and scale of multicloud architecture invites new enterprise challenges. Protection means securing complex, distributed and high-velocity cloud architectures,” the article continued.
Consumers expect personalized, proactive, and convenient service, which traditional application architectures often struggle to provide. Digitizing internal processes can improve information flow and enhance collaboration among employees. Competitive advantage. Enhanced business operations.
“As code” means simplifying complex and time-consuming tasks by automating some, or all, of their processes. In large organizations, it’s not uncommon to have hundreds of applications — each with its own specific infrastructure requirements based on architecture, function, traffic, and more.
Netflix is known for its loosely coupled microservice architecture and with a global studio footprint, surfacing and connecting the data from microservices into a studio data catalog in real time has become more important than ever. CDC events can also be sent to Data Mesh via a Java Client Producer Library.
As a result, e xisting application security approaches can’t keep up with this speed and vari ability of modern development processes. . With DevSecOps processes having shifted security testing “left”, will the teams have enough time to manually analyze, assess, and manage risks based on sampled or scheduled scan results?
Both Kubernetes monitoring and routing capabilities now use a containerized architecture and are managed by the new Dynatrace Operator. Our updated deployment guide will lead you through the process of creating the new custom resource, which deploys everything you need for all-in-one observability on Kubernetes.
Other distributions like Debian and Fedora are available as well, in addition to other software like VMware, NGINX, Docker, and, of course, Java. We anticipate massive growth in the popularity of this architecture in the coming quarters, driven additionally by companies’ push for cost reductions.
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. The Dynatrace teams also built automation on top of Dynatrace to automate many tasks of our Continuous Delivery & Feedback (CDF) and operational processes.
As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. The Azure Well-Architected Framework is a set of guiding tenets organizations can use to evaluate architecture and implement designs that will scale over time.
Meson was based on a single leader architecture with high availability. For example, a workflow to backfill hourly data for the past five years can lead to 43800 jobs (24 * 365 * 5), each of which processes data for an hour. Figure 1 shows the high-level architecture. With the high growth of workflows in the past few years?
Most organisations go through an architecture modernisation effort at some point as their systems drift into a state of intolerable maintenance costs and they diverge too far from modern technological advances. High-level Process Sections Conceptually, there are three major sections to a modernisation process.
OpenTelemetry reference architecture. This information is gathered from remote, often inaccessible points within your ecosystem and processed by some sort of tool or equipment. Traces are the act of following a process (for example, an API request or other system activity) from start to finish, showing how services connect.
At Dynatrace, where we provide a software intelligence platform for hybrid environments (from infrastructure to cloud) we see a growing need to measure how mainframe architecture and the services running on it contribute to the overall performance and availability of applications. Network metrics are also collected for detected processes.
We tried a few iterations of what this new service should look like, and eventually settled on a modern architecture that aimed to give more control of the API experience to the client teams. service with a composable JavaScript API that made downstream microservice calls, replacing the old Java API. Java…Script? It was a Node.js
This was all a spare time project, as my day job at Netflix at that time was as a director level manager of a team working on personalization code in Java, and it wasnt my job to write the codemyself. One of the Java engineers on my teamJian Wujoined me to help figure out the API. I built two more iOS apps that worked with Netflix.
Log4Shell is a software vulnerability in Apache Log4j 2 , a popular Java library for logging error messages in applications. As soon as teams started, however, Apache found another critical vulnerability, CVE-2021-45046, and yet another, CVE-2021-45105, a few days later, which caused IT security pros to restart their process.
Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. As organizations migrate applications to the cloud, they must balance the agility that microservices architecture brings with the complexity and lack of transparency that can also come with it.
As a result, while cloud architecture has enabled organizations to develop applications iteratively, it also increased exposure to vulnerabilities. Notably, the need to innovate faster and shift to cloud-native application architectures is driving more than complexity. In addition, check out the Dynatrace Application Security module.
Consider Log4Shell, a software vulnerability in Apache Log4j 2 , a popular Java library. Owning data and creating data privacy by design Ferguson and Plank focused on two key messages as they discussed data security: Organizations always choose and control the data they process with Dynatrace.
One key requirement of a microservices architecture is the ability to make information of all kinds available wherever and whenever it’s needed, without putting undue traffic on corporate and public networks. Dynatrace OneAgent has been able to detect TIBCO EMS processes out-of-the-box for some time already.
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