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The rapid evolution of cloud technology continues to shape how businesses operate and compete. This year’s AWS re:Invent will showcase a suite of new AWS and Dynatrace integrations designed to enhance cloud performance, security, and automation.
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.
Lifting and shifting applications from the data center to the cloud delivers only marginal benefits. Because cloud computing breaks application functions into many microservices, porting monolithic applications to the cloud unchanged can slow them down. So, what is cloud-native architecture, exactly?
As an example, cloud-based post-production editing and collaboration pipelines demand a complex set of functionalities, including the generation and hosting of high quality proxy content. It is worth pointing out that cloud processing is always subject to variable network conditions.
Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Dynatrace news. Connecting data siloes requires daunting integration endeavors.
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?
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.
Challenges The cloud network infrastructure that Netflix utilizes today consists of AWS services such as VPC, DirectConnect, VPC Peering, Transit Gateways, NAT Gateways, etc and Netflix owned devices. IP addresses within the cloud can move from one EC2 instance or Titus container to another over time. What is BPF?
Logs complement metrics and enable automation Cloud practitioners agree that observability, security, and automation go hand in hand. The increasing complexity of cloud service architectures requires a rock-solid understanding of the activity, health status, and security of cloud services.
The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. New cloud-native technologies make observability more important than ever….
Most performance engineers have spent years submitting RFPs, developing scripts, executions, analysis, monitoring and tuning, and researching their specific projects/product domains and have gained a very high level of expertise in it. and must have extensive experience in specialized skills.
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. Migration is time-consuming and involved. create a microservice; 2.
Streamlining site reliability at scale can be daunting, particularly with large-scale AWS environments and architecture that rely on hundredsor even thousandsof Amazon EC2 instances. This step-by-step guide will show you how to configure your architecture to trigger guardians whenever EC2 tags are updated.
Mainframe is a strong choice for hybrid cloud, but it brings observability challenges IBM Z is a mainframe computing platform chosen by many organizations with a hybrid cloud strategy because of its security, resiliency, performance, scalability, and sustainability. You can now install OneAgent on Linux with s390 architecture.
As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. Fully conceptualizing capacity requirements. Dynatrace and AWS.
Architecture The CloudWatch Exporter will collect the metrics from AWS Cloud watch every 15 seconds (default), and it will expose them as key/value pairs in /the metrics API response. Prometheus allows us to define the scraping frequency, so we can adjust the frequency of calls to CloudWatch to eventually tune the cost.
Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. AI-powered automation and deep, broad observability for serverless architectures. Stay tuned for updates. Dynatrace news.
During a joint webinar , Henrik Rexed (Cloud Native Advocate, Dynatrace) joined us to talk about the Kubernetes challenges and how to leverage Dynatrace observability and Akamas AI-powered optimization to address them. Tuning thousands of parameters has become an impossible task to achieve via a manual and time-consuming approach.
OTel Demo telescope image] The OpenTelemetry demo application is a cloud-native e-commerce application made up of multiple microservices. OpenTelemetry Astronomy Shop demo application architecture diagram. Traces, metrics, and logs are already well covered, but interesting enhancements are being made frequently, so stay tuned.
It feels like just yesterday DevOps was all the rage, and everything had to be “Cloud” in order to be modern. At Dynatrace, we went through such a transformation ourselves, back in 2011 when we saw the need to create a new platform that was purpose-built for these dynamic, cloud-native IT environments. Dynatrace news.
Operations refers to the processes of managing software functionality throughout its delivery and use life cycle, including monitoring system performance, repairing defects, testing after updates and changes, and tuning the software release system. IT environments exist in a state of almost constant change. Challenge accepted.
VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. Serverless computing is a cloud-based, on-demand execution model where customers consume resources solely based on their application usage. The Serverless Process.
Scripts and procedures usually focus on a particular task, such as deploying a new microservice to a Kubernetes cluster, implementing data retention policies on archived files in the cloud, or running a vulnerability scanner over code before it’s deployed. By tuning workflows, you can increase their efficiency and effectiveness.
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. Stay tuned for upcoming announcements around OpenTracing and OpenTelemetry. Dynatrace news.
Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.
As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Understand and optimize your architecture. So stay tuned!
The second edition adds content on BPF, BCC, bpftrace, perf, and Ftrace, mostly removes Solaris, makes numerous updates to Linux and cloud computing, and includes general improvements and additions. The BPF tools book focuses on BPF tracing tools only, with brief summaries of architecture and traditional tools.
Expanding the Cloud â?? Today, we are excited to announce the limited preview of Amazon Redshift , a fast and powerful, fully managed, petabyte-scale data warehouse service in the cloud. s architecture and underlying platform are also optimized to deliver high performance for data warehousing workloads. Comments ().
With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. Logs are automatically produced and time-stamped documentation of events relevant to cloudarchitectures.
Motivation With the rapid growth in Netflix member base and the increasing complexity of our systems, our architecture has evolved into an asynchronous one that enables both online and offline computation. Architecture As shown in the diagram above, the RENO service can be broken down into the following components.
As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Understand and optimize your architecture. So stay tuned!
This decoupling is crucial in modern architectures where scalability and fault tolerance are paramount. The architecture of RabbitMQ is meticulously designed for complex message routing, enabling dynamic and flexible interactions between producers and consumers. Each RabbitMQ node must be stopped before it can join an existing cluster.
While Kubernetes is often considered the operating system of the cloud, the scale and complexity of Kubernetes cluster deployments are creating new challenges for IT teams. By implementing Akamas, organizations can see a 60% reduction in application demand for cloud services while maintaining the same app performance.
Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity. With its massively parallel architecture, Grail can ingest and process high cardinality data at the scale of modern cloudarchitectures without losing fidelity.
– Cloud. New Architectures (this post). Cloud seriously impacts system architectures that has a lot of performance-related consequences. To get full advantage of cloud, such cloud-specific features as auto-scaling should be implemented. – Agile. – Continuous Integration.
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.
Check out the Pgpool-II architecture that supports all of its features, and learn how the connection pooler works. Pgpool-II has a more involved architecture than PgBouncer in order to support all the features it does. The architecture is similar to PostgreSQL server: one process = one connection. Stay tuned!
As a solution, teams often adopt open source observability tools like OpenTelemetry to gain situational awareness of their cloud-native environments. Open source observability tools help address cloud complexity. Companies face many challenges as they deploy modern IT architectures. Seeing the benefits of OpenTelemetry.
The evolution of cloud-native technology has been nothing short of revolutionary. As we step into 2024, the cornerstone of cloud-native technology, Kubernetes, will turn ten years old. Keynotes were focused on how Kubernetes and Cloud Native help businesses embrace the new AI era. We expect that number to rise higher in 2024.
Many software delivery teams share the same pain points as they’re asked to support cloud adoption and modernization initiatives. These problems are the drivers behind Dynatrace’s solution offering called Cloud Automation and this two-part blog series shows how to tackle these problems using GitHub Actions. awareness ?
Especially as software development continually evolves using microservices, containerized architecture, distributed multicloud platforms, and open-source code. Positive filters are highly effective at blocking attacks but require constant tuning. ESG’s The Maturation of Cloud-Native Security eBook. Further reading.
DigitalOcean is a cost-effective cloud provider that caters to, and is widely adopted by the developer community. Along with many popular cloud providers, DigitalOcean also provides a Managed Databases service. PostgreSQL Configuration Management & Tuning. PostgreSQL Benchmark Setup. PostgreSQL DigitalOcean Features.
Thinking about going multi-cloud? A well-planned multi cloud strategy can seriously upgrade your business’s tech game, making you more agile. Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in.
Service Segmentation: The ease of the cloud deployments has led to the organic growth of multiple AWS accounts, deployment practices, interconnection practices, etc. Cloud Network Insight is a suite of solutions that provides both operational and analytical insight into the Cloud Network Infrastructure to address the identified problems.
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