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In our increasingly digital world, the speed of innovation is key to business success. 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.
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. Agent logs 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.
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.
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.
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.
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.
Over the years however, classic mainframe environments have been transformed, with their services frequently linked to distributed systems or an enterprise cloud. While a general processor can handle any workload, a zIIP can process only certain workloads like DB2, Java, or XML.
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. Open source software security.
We’ve worked closely with our partner AWS to deliver a complete, end-to-end picture of your cloud environment that includes monitoring support for all AWS services. Serverless functions extend applications to accelerate speed of innovation. In upcoming sprints, additional improvements will include: Support for Java-based functions.
As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. These DevSecOps trends will also aid teams as they integrate security and compliance into processes without slowing innovation or creating additional work for already time-strapped teams. Dynatrace news.
AWS Lambda is the fastest growing technology for serverless workloads and helps developers innovate faster. It removes the burden of managing underlying infrastructure and is broadly adopted for cloud-native application environments. Dynatrace news. But serverless functions don’t exist in a vacuum.
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. Cost efficiency.
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. Tech Transforms podcast: It’s time to get familiar with generative AI – blog Generative AI can unlock boundless innovation.
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.
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.
OSS is a faster, more collaborative, and more flexible way of driving software innovation than proprietary-only code. Projects could range from relatively small software components, such as general-purpose Java class libraries, to major systems, such as Kubernetes for container management or Apache’s HTTP server for modern operating systems.
These precise answers and intelligent automations free security analysts from manual activities and enable them to focus on innovating. 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.
Cloud complexity and data proliferation are two of the most significant challenges that IT teams are facing today. Modern cloud complexity is becoming nearly impossible for human beings to manage without AI and automation. “ Observability is about answering questions,” said Laifenfeld. Observability is about answering.”
As organizations accelerate innovation to keep pace with digital transformation, DevOps observability is becoming a critical key to success for DevOps and DevSecOps teams. This drive for speed has a cost: 22% of leaders admit they’re under so much pressure to innovate faster that they must sacrifice code quality.
As digital transformation accelerates, organizations turn to hybrid and multicloud architectures to innovate, grow, and reduce costs. As a result, organizations are adopting cloud observability technologies to gain visibility into their IT environments and the associated application performance and software vulnerability issues.
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.
In today’s world, the speed of innovation is key to business success. Cloud-native technologies, including Kubernetes and OpenShift, help organizations accelerate innovation and drive agility. Real-time attack detection and blocking for Java will be available in the next 120 days. Dynatrace news. How to get started.
Expanding the Cloud â?? Amazon SWF makes it very easy for developers to architect and implement these tasks, run them in the cloud or on premise and coordinate their flow. They run their workers either on cloud infrastructure, such as Amazon EC2 , or on-premise. All Things Distributed. The Amazon Simple Workflow Service.
The proof point for one organization is Log4Shell, a critical zero-day vulnerability discovered in a popular Java library in 2021. This keeps teams from falling into old habits and enables them to continually innovate and expand. Whether it’s cloud migration or monitoring, don’t be afraid to try something.
OpenTelemetry is currently a Cloud Native Computing Foundation (CNCF) sandbox project with the ultimate goal of providing a unified set of vendor-agnostic libraries/APIs for collecting and sending data to compatible backends. OpenTelemetry provides a de-facto standard for adding observability to cloud-native applications.
Since then, the Cloud Native Computing Foundation (CNCF) has accepted OpenFeature as a sandbox project. Additionally, the open source and cloud-native communities have continued to develop open standards to ease communication between cloud-native tools and promote interoperability between vendors. What is a feature flag?
Businesses in all sectors are introducing novel approaches to innovate with generative AI in their domains. OneAgent can automatically monitor all C#,NET, Java, Go, and NodeJS bindings. Using Dynatrace to observe OpenAI cloud services helps you gain cost transparency and ensure the operational health of your AI-enhanced services.
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. This is common in on-premises or hybrid deployments, where time series data and tags are transmitted to the cloud. Monitoring begins here.
For instance, in December 2021, Log4Shell —a zero-day software vulnerability found in the widely used Java library Apache Log4j2—received a CVSS score of 10 out of 10. While this score was largely because of the Java library’s popularity and wide use, it was also because of the ease with which malicious actors could exploit it.
All of the code runs in the cloud — nothing is installed on any user device. AWS Lambda supports code written in Node.js (JavaScript) and Java. Got an innovative idea for how voice technology can improve customers’ lives? The first one million requests each month are free. or “What time is my first meeting?”
This zero-day vulnerability enables a remote attacker to take control of a device or Internet-based application if the device or app runs certain versions of Log4j 2, a popular Java library. For Avisi , a software development and cloud services company in the Netherlands, its Log4Shell response was immediate and automatic.
The shift to cloud native design is transforming both software architecture and infrastructure and operations. Still cloud-y, but with a possibility of migration. Strong usage in cloud platforms (+16%) accounted for most cloud-specific growth. Not necessarily: Java-related searches increased by 5% between 2017 and 2018.
AWS Elastic Beanstalk: A Quick and Simple Way into the Cloud. A whole range of innovative new services, ranging from media conversion to geo-location-context services have been developed by our customers using this flexibility and are available in the AWS ecosystem. All Things Distributed. By Werner Vogels on 18 January 2011 04:00 PM.
Amazon EFS is a fully-managed service that makes it easy to set up and scale shared file storage in the AWS Cloud. Two areas where Lambda is driving a lot of innovation is Mobile and the Internet of Things (IoT). We will also launch Java as a programming language to be used in lambda in a few weeks. More details on the AWS Blog.
” Java. It’s mostly good news on the Java front. Java Champion Ben Evans explains, “Once again, rumours of Java’s demise have proved to be little more than wishful thinking on the part of the platform’s detractors.” ” But it hasn’t all been smooth sailing.
Expanding the Cloud for Windows Developers. Managing databases has been a stumbling block for many of our customers, shifting their time away from developing innovative applications to the â??muckâ?? All Things Distributed. Werner Vogels weblog on building scalable and robust distributed systems. Comments (). Amazon RDS for SQL Server.
Market innovators and change agents need a comprehensive infrastructure platform that can reliably scale on-demand. Examples of continuous sensing are found in the managed cloud platform built by Rachio on AWS IoT to enable the secure interaction of its connected devices with cloud applications/other devices.
Traditional approaches to application security struggle to keep up with the complexity presented by cloud-native environments and rapid software release cycles. In modern cloud-native environments, which rely on microservices architectures, application teams that are responsible for innovation face some dilemmas.
ScaleGrid offers managed DBaaS solutions to simplify scaling and managing Redis deployments with features such as dynamic scaling with minimal downtime, automated backups, and high availability, suitable for cloud platforms like AWS, Azure, and Google Cloud. Various clients, such as Java with Jedis, Ruby with redis-rb, and Node.js
2014: Java in Flames Broken Java Stacks (2014) When I joined Netflix in 2014, I found Java's lack of frame pointer support broke all application stacks (pictured in my 2014 Surge talk on the right). Java, for example, has the -XX:+PreserveFramePointer option. Just to name a couple of languages.
OpenTelemetry provides a de-facto standard for adding observability to cloud-native applications. Th is means that companies don’t need to spend valuable time developing a mechanism for collecting critical application tele metry, and they can spend more ti me delivering new features. Java, Python, .Net,
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