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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.
In fact, observability is essential for shaping how we design smarter, more resilient systems for the future. With so many types of technologies in software stacks around the globe, OpenTelemetry has emerged as the de facto standard for gathering telemetry data. OpenTelemetry Collector 1.0
As organizations adopt more cloud-native technologies, the risk—and consequences—of cyberattacks are also increasing. Through this integration, Dynatrace enriches data collected by Microsoft Sentinel to provide organizations with enhanced data insights in context of their full technology stack.
Delighting Members with Even Better PictureQuality Nearly a decade ago, we made a bold move to be a pioneering adopter of High Dynamic Range (HDR) technology. AV1 is one of the most efficient codecs available today. HDR enables images to have more details, vivid colors, and improved realism.
At financial services company, Soldo, efficiency and security by design are paramount goals. This is especially true as organizations rely more on diverse and nimble cloud-native and open source technologies. This is especially true as organizations rely more on diverse and nimble cloud-native and open source technologies.
Business events: Delivering the best data It’s been two years since we introduced business events , a special class of events designed to support even the most demanding business use cases. Dynatrace OpenPipeline is a new stream processing technology that ingests and contextualizes data from any source.
This massive migration is critical to organizations’ digital transformation , placing cloud technology front and center and elevating the need for greater visibility, efficiency, and scalability delivered by a unified observability and security platform. Thoughtful reinvestment. Interested in learning more?
We equip our customers with the insights necessary to enhance user experiences and improve operational efficiency. Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation.
Recently, I had the pleasure of speaking with Tiernan Ray for The Technology Letter ( subscribers can read here ) , where we discussed how observability is transforming and how Dynatrace is navigating industry changes.I wanted to take a moment to expandon thekey themes we touched on in our conversation.
Dynatrace is an AWS Advanced Technology Partner, so it’s easy to integrate Dynatrace with AWS to help you stay on top of the dynamics of your enterprise cloud environment?. We’re therefore excited to announce that Dynatrace has received the Amazon RDS Service Ready designation. Dynatrace news.
To create a CPU core that can execute a large number of instructions in parallel, it is necessary to improve both the architecturewhich includes the overall CPU design and the instruction set architecture (ISA) designand the microarchitecture, which refers to the hardware design that optimizes instruction execution.
RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. Kafka scales efficiently for large data workloads, while RabbitMQ provides strong message durability and precise control over message delivery. What is RabbitMQ?
To better guide the design and budgeting of future campaigns, we are developing an Incremental Return on Investment model. Ideally, we would have causal estimates from an A/B test to use for validation, but since that is not available, we use another causal inference design as one of our ensemble of validation approaches.
Thermal design power (TDP) values are derived from AMD and Intel to calculate CPU power consumption. The FinOps Foundation includes sustainability in its framework, stating, FinOps and cloud sustainability mutually support each other through a similar approach to conscientious and responsible technology usage that enables workload efficiency.
DevSecOps initiatives aren’t rooted in a specific technology. This includes custom, built-in-house apps designed for a single, specific purpose, API-driven connections that bridge the gap between legacy systems and new services, and innovative apps that leverage open-source code to streamline processes. What is DevSecOps?
To do so, we continuously push the boundaries of streaming video quality and leverage the best video technologies. While conventional video codecs remain prevalent, NN-based video encoding tools are flourishing and closing the performance gap in terms of compression efficiency. How do we apply neural networks at scale efficiently?
Scalable software architectures are the backbone of efficient and flexible production lines, enabling manufacturers to meet the increasing demands for innovative display technologies. As display manufacturing continues to evolve, the demand for scalable software solutions to support automation has become more critical than ever.
By leveraging Dynatrace observability on Red Hat OpenShift running on Linux, you can accelerate modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes. Dynatrace is designed to scale easily across the entire Kubernetes stack.
In fact, according to a Forrester Consulting report , implementing an AIOps approach that provides proactive visibility helped companies improve operational efficiency and reduce false-positive alerts by 95%. Like the development and design phases, these applications generate massive data volumes that offer relevant and actionable insights.
Enhanced data security, better data integrity, and efficient access to information. Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity.
DevOps seeks to accomplish smooth and efficient software creation, delivery, monitoring, and improvement by prioritizing agility and adaptability over rigid, stage-by-stage development. As DevOps pioneer Patrick Debois first described it in 2009, DevOps is not a specific technology, but a tactical approach. Dynatrace news.
How To Develop Your Business’ Technology Roadmap. How To Develop Your Business’ Technology Roadmap. At some point, though, we need to sit down with clients and give them a sometimes sobering reality: software development without a business technology roadmap can be a lot like driving aimlessly from point A to point Z.
The annual Google Cloud Next conference explores the latest innovations for cloud technology and Google Cloud. AI innovation elevates efficiency and performance of Google Cloud AI adoption is increasingly critical for any organization. This year, Google’s event will take place from April 9 to 11 in Las Vegas.
The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up.
As we navigate an ever-evolving landscape of technology and public expectations, understanding and implementing a TX strategy has become no longer merely an option. The goal is to unify four key areas of the organization into one holistic service design and delivery approach. This blog originally appeared in Federal News Network.
Organizations across industries are embracing generative AI, a technology that promises faster development and increased productivity. AI for effective DevSecOps AI itself has become an indispensable technology for organizations that must deliver safe and secure online services. Learn more in this blog.
Dynatrace Grail™ data lakehouse unifies the massive volume and variety of observability, security, and business data from cloud-native, hybrid, and multicloud environments while retaining the data’s context to deliver instant, cost-efficient, and precise analytics. Digital transformation 2.0
This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.
These developments open up new use cases, allowing Dynatrace customers to harness even more data for comprehensive AI-driven insights, faster troubleshooting, and improved operational efficiency. Customers have had a positive response to our native syslog implementation, noting its easy setup and efficiency.
DevOps tools , security response systems , search technologies, and more have all benefited from AI technology’s progress. Automation and analysis features, in particular, have boosted operational efficiency and performance by tracking and responding to complex or information-dense situations.
by Liwei Guo , Ashwin Kumar Gopi Valliammal , Raymond Tam , Chris Pham , Agata Opalach , Weibo Ni AV1 is the first high-efficiency video codec format with a royalty-free license from Alliance of Open Media (AOMedia), made possible by wide-ranging industry commitment of expertise and resources.
Bridging The Gap Between Designers And Developers. Bridging The Gap Between Designers And Developers. In the past couple of years, it’s no secret that our design tools have exponentially evolved. How do we bridge this gap between what is designed over what is developed without the overhead of constantly doing reviews?
Today, Dynatrace is announcing that it has successfully achieved Google Cloud Ready – AlloyDB designation in support of an extended integration to Google Cloud’s AlloyDB for PostgreSQL. Google Cloud Ready – AlloyDB is a new designation for the solutions of Google Cloud’s technology partners that integrate with AlloyDB.
While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. Emerging technology frameworks. What is a data lakehouse? Data management.
As developers move to microservice-centric designs, components are broken into independent services to be developed, deployed, and maintained separately. IDC predicted, by 2022, 90% of all applications will feature microservices architectures that improve the ability to design, debug, update, and use third-party code.
As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. It coincides with the advent of complex, distributed cloud technologies such as microservices and containers. DevOps engineer tools can help ease the pressure as environment complexity grows.
A structured approach Reducing carbon emissions involves a combination of technology, practice, and planning. Options at each level offer significant potential benefits, especially when complemented by practices that influence the design and purchase decisions made by IT leaders and individual contributors. A PUE of 1.0
AI can help automate tasks, improve efficiency, and identify potential problems before they occur. Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. IT automation also helps improve operational efficiency by automating repetitive tasks.
It requires specialized talent, a new technology stack to manage and deploy models, an ample budget for rising compute costs, and end-to-end security. Model observability provides visibility into resource consumption and operation costs, aiding in optimization and ensuring the most efficient use of available resources.
By Xiaomei Liu , Rosanna Lee , Cyril Concolato Introduction Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. Our previous tech blog Packaging award-winning shows with award-winning technology detailed our packaging technology deployed on the streaming side.
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