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Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Observability for heterogeneous cloud-native technologies is key. Dynatrace news. Upgrade OpenTracing instrumentation with high-fidelity data provided by OneAgent.
While many companies now enlist public cloud services such as Amazon Web Services, Google Public Cloud, or Microsoft Azure to achieve their business goals, a majority also use hybrid cloud infrastructure to accommodate traditional applications that can’t be easily migrated to public clouds.
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.
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.
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.
Modern, cloud-native computing is impossible to separate from containers and Kubernetes adoption. As Kubernetes adoption increases and it continues to advance technologically, Kubernetes has emerged as the “operating system” of the cloud. Kubernetes moved to the cloud in 2022. Java, Go, and Node.js Java, Go, and Node.js
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. What’s ahead.
This article outlines the key differences in architecture, performance, and use cases to help determine the best fit for your workload. RabbitMQ follows a message broker model with advanced routing, while Kafkas event streaming architecture uses partitioned logs for distributed processing. What is RabbitMQ? What is Apache Kafka?
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.
Performance engineers can work in all fields, cutting-edge technologies like Java, Python, IoT, cloud, blockchain, microservices, SAP, AI, Salesforce, etc., They help them to resolve issues, blockers, and everything that will help to improve application/system performance to meet SLAs, and challenges and advance business interests.
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. This is why Dynatrace is extending its observability capabilities for SAP with PowerConnect for SAP.
Feature flags are an essential tool in the modern software delivery lifecycle for cloud-native applications. Feature flagging and feature management are critical components in the effective delivery of cloud-native applications. OpenFeature architecture enables flexibility. SDKs are lightweight, developer friendly, and flexible.
In order for software development teams to balance speed with quality during the software development cycle (SDLC), development, security, and operations teams (or DevSecOps teams) need to ensure that their practices align with modern cloud environments. Serverless architecture expands. and 2.14.1.
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 these benefits also become risks when it comes to cloud security.
Vulnerability management continues to be a key concern as organizations strive to innovate more rapidly and adopt cloud-native technologies to achieve their goals. But with cloud-based architecture comes greater complexity and new vulnerability challenges. DevSecOps key to mature vulnerability management strategy.
As organizations transition to the cloud and adopt DevSecOps practices, they can move more quickly and flexibly. They can develop software applications rapidly and gain access to extensible cloud resources without having to sink costs into IT plumbing or managing this infrastructure themselves. Dynatrace news.
Log auditing—and its investigative partner, log forensics—are becoming essential practices for securing cloud-native applications and infrastructure. As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging.
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. Lack of automation to keep pace with dynamic clouds and rapid software development practices.
Kubernetes teams lack simple, consistent, vendor-agnostic architectures for analyzing observability signals across teams. OpenTelemetry SDKs are available for most contemporary programming languages, such as C++, Go, Java, JavaScript, and Python (see [link] for the full list). Choosing where and how to collect data is overwhelming.
In addition, as businesses of all kinds adopt cloud-native and open source technologies, their environments become more flexible. Cloud environment toolkits —microservices, Kubernetes, and serverless platforms — deliver business agility, but also create complexity for which many security solutions weren’t designed.
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 cloudarchitectures,” the article continued.
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).
This is because logs may be generated from thousands of applications, built by different teams, and spread across a complex global landscape of cloud and on-premises environments. Further, these resources support countless Kubernetes clusters and Java-based architectures. Cost-effective architecture.
As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. To guide organizations through their cloud migrations, Microsoft developed the Azure Well-Architected Framework. Operational excellence. Performance efficiency.
Today’s cloud-native applications are predominately built from open-source components, or packages, strung together with a small amount of custom code. IAST only works with languages that have a virtual runtime environment, such as Java, C#, Python, and Node.js. The problem with the traditional approach.
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. Full-stack and cloud-infrastructure monitoring modes.
The OpenTelemetry project was created to address the growing need for artificial intelligence-enabled IT operations — or AIOps — as organizations broaden their technology horizons beyond on-premises infrastructure and into multiple clouds. This is only exacerbated by modernization and our move to the cloud.” Unified standard.
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.
Know anyone looking for a simple book explaining the cloud? book: Explain the Cloud Like I'm 10. That central chip ties together the 7nm CPU chiplets, creating a massively scalable architecture. The R5a, M5a and T3a instances purportedly will offer a 10% price-to-performance advantage over AWS's other cloud instances.
When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration. Consider Log4Shell, a software vulnerability in Apache Log4j 2 , a popular Java library. The underlying software architecture that supports all this data must be secure, as well.
As a Cloud Native Computing Foundation (CNCF) incubating project, OTel aims to provide unified sets of vendor-agnostic libraries and APIs — mainly for collecting data and transferring it somewhere. OpenTelemetry reference architecture. Source: OpenTelemetry Documentation. What is telemetry data? Monitoring begins here. Span ingestion.
Observability for effective DevSecOps Traditional approaches to application security can fail to keep up with the complexity of cloud-native environments and rapid software release cycles. However, as more organizations adopt cloud-native environments, log data alone isn’t enough to detect critical evidence of exploitation activity.
Expanding the Cloud - Introducing AWS OpsWorks, a Powerful Application Management Solution. OpsWorks is designed to support a wide variety of application architectures and can work with any software that has a scripted installation. Elastic Beanstalk supports the most common web architectures, application containers, and frameworks.
The vision was to create a “Studio in the Cloud”, with applications supporting every part of the business from pitch to play. You’ll hear from two teams here: first Application Security, and then Cloud Gateway. into every conversation. The first was that there were too many security things that each software team needed to think about?
How we migrated our Android endpoints out of a monolith into a new microservice by Rohan Dhruva , Ed Ballot As Android developers, we usually have the luxury of treating our backends as magic boxes running in the cloud, faithfully returning us JSON. Java…Script? It was a Node.js The context around why the Node.js
OpenTelemetry for Go provides developers with an observability framework for cloud-native software, allowing them to instrument, generate, collect, and export telemetry data for relevant services. An observability framework alone is not enough. Unlock extended end-to-end traceability for OpenTelemetry-instrumented Go applications.
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.
In my colleague Andi Grabner’s recent blog on Automated Deployment and Architectural Validation, he notes that, based on a recent ACM survey , validating deployment still seems to be a semi-automated task for most software delivery teams. Dynatrace news. I speak about automation quite often.
Consumers expect personalized, proactive, and convenient service, which traditional application architectures often struggle to provide. The proof point for one organization is Log4Shell, a critical zero-day vulnerability discovered in a popular Java library in 2021. Improved customer experience. Competitive advantage.
A brief history of IPC at Netflix Netflix was early to the cloud, particularly for large-scale companies: we began the migration in 2008, and by 2010, Netflix streaming was fully run on AWS. Today we have a wealth of tools, both OSS and commercial, all designed for cloud-native environments.
Alibaba Cloud FaaS Offering. The Alibaba Cloud FaaS offering is part of Alibaba Cloud Service Engine on Alibaba cloud. and they can consume various backend services, including java applications, data stores or messaging systems. You may also like: Spring Tips: RSocket Messaging in Spring Boot 2.2
Log4Shell is a software vulnerability in Apache Log4j 2 , a popular Java library for logging error messages in applications. A modern cloud observability platform with integrated AIOps offers a more holistic approach. The modern observability platform approach to mitigating Log4Shell.
Software architecture, infrastructure, and operations are each changing rapidly. The shift to cloud native design is transforming both software architecture and infrastructure and operations. Still cloud-y, but with a possibility of migration. Not necessarily: Java-related searches increased by 5% between 2017 and 2018.
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