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The rapid evolution of cloud technology continues to shape how businesses operate and compete. AWS’ recent recognition of Dynatrace as the 2024 AWS EMEA Technology Partner of the Year highlights the joint commitment to accelerate customer cloud transformation.
Therefore, they need an environment that offers scalable computing, storage, and networking. That’s where hyperconverged infrastructure, or HCI, comes in. What is hyperconverged infrastructure? For organizations managing a hybrid cloud infrastructure , HCI has become a go-to strategy. Realizing the benefits of HCI.
that offers security, scalability, and simplicity of use. already address SNMP, WMI, SQL databases, and Prometheus technologies, serving the monitoring needs of hundreds of Dynatrace customers. are technologically very different, Python and JMX extensions designed for Extension Framework 1.0 Extensions 2.0 Extensions 2.0
And it enables executives to have unprecedented insight into how user experiences, applications and underlying infrastructure health can power their business. You’ll see how a clear line of sight across your entire technology stack can be transformative and learn how to apply these lessons to your own business.
To solve this problem , Dynatrace offers a fully automated approach to infrastructure and application observability including Kubernetes control plane, deployments, pods, nodes, and a wide array of cloud-native technologies. None of this complexity is exposed to application and infrastructure teams.
This blog post explains how Dynatrace simplifies log ingestion, whether youre onboarding logs from your infrastructure using OneAgent, cloud services using log forwarding, or driving open-source standardization leveraging OpenTelemetry (OTel), Fluent Bit, or any other API-based ingestion methods.
Infrastructure as code is a way to automate infrastructure provisioning and management. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code. Transparency and scalability. Infrastructure-as-code.
This decoupling simplifies system architecture and supports scalability in distributed environments. Kafka stores and distributes data through a partitioned log system, which spans multiple brokers to provide fault tolerance and scalability. What is RabbitMQ? This allows Kafka clusters to handle high-throughput workloads efficiently.
Some organizations need to weigh cost considerations due to technology and business scalability limitations whereas others need to adhere to company policies. These numbers serve as limits for scalability, utilizing the power of the Kubernetes platform. For large enterprises, this is not even a consideration.
As HTTP and browser monitors cover the application level of the ISO /OSI model , successful executions of synthetic tests indicate that availability and performance meet the expected thresholds of your entire technological stack. Combined with Dynatrace OneAgent ® , you gain a precise view of the status of your systems at a glance.
Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can
While Kubernetes is still a relatively young technology, a large majority of global enterprises use it to run business-critical applications in production. Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Java, Go, and Node.js
With this solution, customers will be able to use Dynatrace’s deep observability , advanced AIOps capabilities , and application security to all applications, services, and infrastructure, out-of-the-box. Scalability: Dynatrace provides easy and limitless horizontal scalability for SaaS deployments.,
The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. CaaS automates the processes of hosting, deploying, and managing container technologies. Easy scalability. million in 2020. Key benefits of container as a service include the following: Pay-per-use model.
From business operations to personal communication, the reliance on software and cloud infrastructure is only increasing. To manage high demand, companies should invest in scalableinfrastructure , load-balancing, and load-scaling technologies.
If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. In a nutshell, they are complementary and, in part, overlapping technologies to create, manage, and operate containers. Dynatrace news. But first, some background.
In the dynamic world of cloud-native technologies, monitoring and observability have become indispensable. Kubernetes, the de-facto orchestration platform, offers scalability and agility. Prometheus Prometheus excels at providing actionable insights into the health and performance of applications and infrastructure.
In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. Metrics can originate from a variety of sources, including infrastructure, hosts, services, cloud platforms, and external sources.
The development of internal platform teams has taken off in the last three years, primarily in response to the challenges inherent in scaling modern, containerized IT infrastructures. The old saying in the software development community, “You build it, you run it,” no longer works as a scalable approach in the modern cloud-native world.
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. These metrics are visualized using Lumen , a self-service dashboarding infrastructure.
The Dynatrace Software Intelligence Platform accelerates cloud operations, helping organizations achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability. AL2023 is supported by Dynatrace on day one and has been thoroughly tested by our installations team.
Generally speaking, cloud migration involves moving from on-premises infrastructure to cloud-based services. In cloud computing environments, infrastructure and services are maintained by the cloud vendor, allowing you to focus on how best to serve your customers. Increased scalability.
The annual Google Cloud Next conference explores the latest innovations for cloud technology and Google Cloud. As organizations continue to expand within cloud-native environments using Google Cloud, ensuring scalability becomes a top priority. This year, Google’s event will take place from April 9 to 11 in Las Vegas.
Unwelcome Gaze is a triptych visualizing the publicly reachable web server infrastructure of Google, Facebook, Amazon and the routing graph(s) leading to them. We have moved on to newer, faster, more reliable, more agile, more versatile technology at more lower cost and higher scale. It's HighScalability time: Beautiful.
In today’s rapidly evolving business and technology landscape, organizations often prioritize the speed of development over security. Dynatrace provides powerful AI-based observability, putting all your infrastructure, applications, and events in context. Continuous delivery demands continuous security.
DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Rather, they must be bolstered by additional technological investments to ensure reliability, security, and efficiency. However, these practices cannot stand alone.
A traditional log management solution uses an often manual and siloed approach, which limits scalability and ultimately hinders organizational innovation. They need to automate manual tasks, streamline processes, and invest in new technologies. Cloud-based log management technologies reduce total cost of ownership.
In many ways, the shift to cloud computing and the adoption of cloud-native architectures have enabled organizations to realize greater resiliency alongside scalability. Today’s rapidly evolving technology environment opens the door to both new opportunities and new threats.
5), hybrid infrastructure platform operations (4.25/5), These environments offer improved agility and scalability, and they also increase complexity, often making it more challenging for organizations to monitor and manage their applications. These Use Cases include application health and performance monitoring (4.27/5),
Many organizations today rely on cloud-native applications for their scalability and agility, among other benefits. Finally, because the delivery of compute resources happens entirely in the cloud, the technology enables enterprises to go serverless at the local level. Serverless benefits include the following: Dynamic scalability.
After a decade of helping companies manage container orchestration, Kubernetes, the open source container platform, has established itself as a mature enterprise technology. This created problems with both visibility and scalability. But challenges remain when it comes to Kubernetes complexity.
Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies.
Native support for syslog messages extends our infrastructure log support to all Linux/Unix systems and network devices. Dynatrace supports scalable data ingestion, ensuring your observability infrastructure grows with your cloud environment. If you’re looking into Dynatrace, check out our free trial.
Because of its matrix of cloud services across multiple environments, AWS and other multicloud environments can be more difficult to manage and monitor compared with traditional on-premises infrastructure. AWS provides a suite of technologies and serverless tools for running modern applications in the cloud. Amazon EC2. AWS Lambda.
IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. Here are the six steps of a typical ITOA process : Define the data infrastructure strategy. Establish data governance.
Taking an end-to-end responsibility for our customers’ critical infrastructure and applications, we are always striving to optimize the performance of our industrialized platform. The Dynatrace Platform already supported over 60 technologies and an extensible architecture – making Dynatrace the natural choice.
Containers enable developers to package microservices or applications with the libraries, configuration files, and dependencies needed to run on any infrastructure, regardless of the target system environment. And organizations use Kubernetes to run on an increasing array of workloads.
It covers the whole range of technologies, from bleeding-edge cloud platforms down to the mainframe. This means that your entire IT infrastructure can be monitored within minutes. OneAgent monitors the full technology stack of each host. You name it, and we have it! There’s a more efficient way with Dynatrace.
Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Grail addresses today’s challenges of big data and cloud everywhere: Grail is highly scalable, cost-effective, and super-fast. What’s next for Grail?
To do so we have successfully established AI-based White box load and resiliency testing with JMeter and Dynatrace, helping identify and resolve major performance and scalability problems in recent projects before deploying to production. Each step is automated from provisioning infrastructure to problem analysis. zone } } } }.
As organizations strive to digitally transform, innovate, and grow in today’s fast-paced environment, they have increasingly turned to cloud technologies to enable business goals. And although technology has become more central to their business strategies, they are juggling many priorities in digital transformation.
GKE Autopilot empowers organizations to invest in creating elegant digital experiences for their customers in lieu of expensive infrastructure management. Dynatrace’s collaboration with Google addresses these needs by providing simple, scalable, and innovative data acquisition for comprehensive analysis and troubleshooting.
In the Magic Quadrant report, Gartner defines APM as, “software that enables the observation of application behavior and its infrastructure dependencies, users, and business key performance indicators (KPIs) throughout the application’s life cycle.” The Gartner document is available upon request from Dynatrace.
The IT infrastructure and services will reach $35.98 To address this need, the integration of cloud computing and virtualization has emerged as a groundbreaking solution as these technologies boast scalability and flexibility, entirely transforming the operational landscape. billion by 2025.
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