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Are you interested in joining the cloud-native world and wondering what cloud-native observability means for you? Are you a Java developer and looking for a working example to get started instrumenting your applications and services?
CVE recently published three new critical vulnerabilities in the Java Spring Framework, including one called Spring4Shell. Many applications are potentially affected, as Spring dominates the Java ecosystem , with 60% of developers using it in their main Java applications. Information Exposure in Spring Cloud Function.
Establishing end-to-end observability insights for today’s highly dynamic and exceedingly complex cloud-native production environments represents an enormous challenge to IT operations and SRE teams who are responsible for ensuring that hundreds, or even thousands, of running services meet with agreed upon SLOs. Dynatrace news.
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. Heterogeneous cloud-native microservice architectures can lead to visibility gaps in distributed traces.
Log ingestion can seem daunting when getting started with Dynatrace, especially when staring at an empty screen in the Logs or Clouds apps. The Discovery & Coverage app provides Dynatrace administrators with the same OneAgent installation experience they receive with the Clouds and Logs apps.
Although these COBOL applications operate with consistent performance, companies and governments are forced to transform them to new platforms and rewrite them in modern programming languages (like Java) for several reasons. Thus, implementing applications in Java can result in considerable financial savings.
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.
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.
In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.
Spring Cloud and Kubernetes both complement each other to build a cloud-native platform and run microservices on the Kubernetes containers. Kubernetes provides many features which are similar to Spring Cloud and Spring Config Server features. Spring framework has been around for many years.
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.
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.
Cloud-native observability is a prerequisite for companies that need to meet these expectations. This provides a holistic view, advanced analytics, and AI-powered answers for cloud optimization and troubleshooting. Dynatrace news. How to get started. New to Dynatrace? If so, start your free trial today! Start your free trial!
Key takeaways from this article on vulnerability management for cloud application security: Today’s cloud apps with their fast innovation cycles and frequent use of open-source libraries must address a gap for runtime vulnerability management in production environments. Dynatrace news.
Cloud-native observability for Google’s fully managed GKE Autopilot clusters demands new methods of gathering metrics, traces, and logs for workloads, pods, and containers to enable better accessibility for operations teams. First, we create a small Kubernetes cluster in the Google Cloud Console.
As requests go through a distributed software system, Spring Cloud Sleuth allows you to aggregate and track log entries. A single client request in a distributed system, on the other hand, may be spread among a number of different cloud services. Multiple instances of a service may process different pieces of a request.
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
Not only has near-infinitely scalable cloud storage reduced the burden of storing large video files, but CDNs (content delivery networks) deployed by video streaming and social media giants in this timeframe have all but eliminated those slow server-to-client buffering times, which initially plagued the user experience.
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.
Observability should be as cloud-native as Kubernetes itself. A foundation for delivering cloud-native injection using the best of both worlds: Automatic “app-only” via Kubernetes admission controllers along with OneAgent Kubernetes monitoring. Containerized ActiveGate capabilities are deployed without unnecessary complexity.
It’s done through what I would refer to as “Progressive Delivery at Cloud Scale”. Our Cluster Performance Engineering Team in collaboration with our Autonomous Cloud Enablement (ACE) and development teams quickly identified the root cause and fixed the problem in no time! Dynatrace news. What does that mean?
This article describes how we can protect REST APIs using Role-based access control (RBAC) in the Quarkus Java framework. Quarkus is an open-source, full-stack Java framework designed for building cloud-native, containerized applications.
In this latest trends report, we analyze the most popular cloud providers for PostgreSQL, VACUUM strategies, query management strategies, and on-premises vs. public cloud use being leveraged by enterprise organizations. Most Popular Cloud Providers for PostgreSQL Hosting. of PostgreSQL cloud use compared to 55.0%
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. In many cases, organizations don’t discover vulnerabilities until after they have been exploited.
Cloud Run brings serverless to containers. You can run containers on Cloud Run for Anthos for consistency between on-prem and cloud environments, or in fully managed Cloud Run environments. Run custom-built images as containers at scale with Google Cloud Run. What’s your experience with Cloud Run?
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.
Web-Based or Desktop: Does the tool offer both desktop and web-based versions for flexible access, particularly in remote or cloud environments? It is known for its flexibility and large feature set, as well as supporting databases utilizing a Java Database Connectivity (JDBC) driver, rendering it a default tool for both DBAs and developers.
With cloud computing, several solutions were born to make the developer's life easier and simpler to develop. With that, the question arises: How will Java deal with solutions like NodeJS? In this talk, we'll explore this framework and make Java alive in the cloud era. Let me introduce to you Oracle Helidon.
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.
And the distinction between applications and cloud platforms is blurring. With new enhancements, Dynatrace Application Security now provides Runtime Vulnerability Analysis across the entire application stack in cloud-native environments. Dynatrace extends its Runtime Vulnerability Analysis to Go on top of Java ,NET , Node.js
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. SDKs are lightweight, developer friendly, and flexible.
Stefano started his presentation by showing how much cost and performance optimization is possible when knowing how to properly configure your application runtimes, databases, or cloud environments: Correct configuration of JVM parameters can save up to 75% resource utilization while delivering same or better performance!
Cloud-native workloads on edge devices are gaining momentum among organizations as they extend the hybrid cloud closer to the data source and end users at the edge. Successful deployments of cloud-native workloads at the edge help to reduce costs, boost performance, and improve customer experience.
Organizations are shifting towards cloud-native stacks where existing application security approaches can’t keep up with the speed and variability of modern development processes. In cloud-native application stacks, everything is code. and Java are the most popular languages within Kubernetes environments.
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.
It removes the burden of managing underlying infrastructure and is broadly adopted for cloud-native application environments. Figure 1: This is a service flow, showing how a certain microservice depends on a specific Lambda function that fetches real-time data from a public cloud provider.
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.
According to the Cloud Native Computing Foundation (CNCF), 84% of organizations are using or evaluating Kubernetes , up from 81% in 2022. The average deployment now spans 20 clusters running 10 or more software elements across clouds and data centers. But challenges remain when it comes to Kubernetes complexity.
All the modern programming languages such as Golang, Node.js, Java,NET, Python, etc. Increase cloud hosting cost: It increases your cloud hosting cost. In an effort to reduce cloud hosting costs, recently, Uber tuned their garbage collection to reduce CPU utilization.
Those in the observability space are no strangers to OpenTelemetry (OTel) , a vendor-neutral, open source project of the Cloud Native Computing Foundation (CNCF). NET Erlang Elixir Go Java JavaScript PHP Python Ruby Rust Swift Can I use the OpenTelemetry Demo to send OTel data to Dynatrace?
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.
With the rise of cloud computing, it’s now more important than ever. The benefit of this is that optimizing the CPU usage of your workloads now pays off almost immediately in the form of reduced cloud computing costs. Dynatrace news. Analyzing and optimizing CPU consumption has always been an important concern.
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.
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.
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