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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.
Dynatrace partners with Texas state institutions Dynatrace partners with public sector agencies in the US and globally to ensure that essential government and educational institutions deliver resilient, efficient, and secure services. Complex IT environments that house these services are often built on hybrid and multicloud architectures.
The Hong Kong Monetary Authority (HKMA)’s Operational Resilience Framework provides guidance for Authorized Institutions (AIs) to ensure the continuity of critical operations during disruptions: governance, risk management, business continuity planning, and oversight of third-party dependencies.
In this blog we’re going to cover some of the recent, sometimes daily experiences I’ve encountered within Government and Federal agencies to demonstrate the role the Dynatrace platform plays to address these barriers and how agencies can leverage Dynatrace as an invaluable resource that contributes to DevSecOps success.
Many organizations are taking a microservices approach to IT architecture. However, in some cases, an organization may be better suited to another architecture approach. Therefore, it’s critical to weigh the advantages of microservices against its potential issues, other architecture approaches, and your unique business needs.
This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. ” it helps to understand the monolithic architectures that preceded them. Understanding monolithic architectures. Microservices benefits.
This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. ” it helps to understand the monolithic architectures that preceded them. Understanding monolithic architectures. Microservices benefits.
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….
Government agencies aim to meet their citizens’ needs as efficiently and effectively as possible to ensure maximum impact from every tax dollar invested. As part of this mission, there is a drive to digitize services across all areas of government so citizens can meet their own needs faster and with greater convenience.
A new Dynatrace report highlights the challenges for government and public-sector organizations as they increasingly rely on cloud-native architectures—and a corresponding data explosion. This shift makes it harder to monitor, observe, and analyze data across a distributed technology stack. .
This nuanced integration of data and technology empowers us to offer bespoke content recommendations. Architecture Overview The first pivotal step in managing impressions begins with the creation of a Source-of-Truth (SOT) dataset.
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. This is simply not possible with conventional architectures. Data management.
Want to learn more about how zero trust architecture can improve government user experiences? Read the blog User experience and DevSecOps make a positive impact Sandia National Laboratories has made remarkable contributions to national security and technology innovation.
This focus on automating processes is even more critical as organizations adopt more cloud-native technologies, including containers, Kubernetes, and serverless applications. Adopting an SRE approach also requires that teams standardize the technologies and tools they use. SRE requires a cultural change. Solving for SR.
And while generative AI was much hyped in 2023, the deterministic quality of causal AI—which determines the precise root cause of an issue—is a key foundation for reliable recommendations that emerge from generative AI technologies. Government. Further, not every business uses AI in the same way or for the same reasons.
To drive better outcomes using hybrid cloud architectures, it helps to understand their benefits—and how to orchestrate them seamlessly. What is hybrid cloud architecture? Hybrid cloud architecture is a computing environment that shares data and applications on a combination of public clouds and on-premises private clouds.
This focus on automating processes is even more critical as organizations adopt more cloud-native technologies, including containers, Kubernetes, and serverless applications. Adopting an SRE approach also requires that teams standardize the technologies and tools they use. SRE requires a cultural change. Solving for SR.
But DIY projects require extensive planning and careful consideration, including choosing the right technology stack, outlining the application’s framework, selecting a design system for the user interface, and ensuring everything is secure, compliant, and scalable to meet the requirements of large enterprises.
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.
In an article published by The Register’s Tom Claburn, Dynatrace chief technology strategist Alois Reitbauer shares his insights on the transformative role Kubernetes played in initiating the cloud-native movement. He explains how this open source project has set the industry standard for container orchestration since its inception.
With this lack of visibility into their cloud environments, organizations are increasingly seeing cloud observability as a business-critical technology. Survey data indicates that IT professionals have turned to technology to help them address cloud interdependencies and complexity. Cloud modernization. Artificial intelligence.
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. A DevOps platform engineer is a more recent term. Kubernetes. Microsoft Azure.
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. Collecting data requires massive and ongoing configuration efforts.
DevOps tools , security response systems , search technologies, and more have all benefited from AI technology’s progress. Safety concerns are at the forefront of autonomous vehicle development, and model understandability is crucial to improving and maintaining functionality in such technology. The post What is explainable AI?
“To service citizens well, governments will need to be more integrated. William Eggers, Mike Turley, Government Trends 2020, Deloitte Insights, 2019. federal government, IT and program leaders must find a better way to manage their software delivery organizations to improve decision-making where it matters. billion hours.
Today, organizations face unprecedented challenges, including COVID-19 recovery, economic uncertainty, and technological disruption. As organizations continue to operate in the cloud, open technologies become critical. Legacy technologies involve dependencies, customization, and governance that hamper innovation and create inertia.
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 only 21% said their organizations have established policies governing employees’ use of generative AI technologies.
As digital transformation accelerates, organizations turn to hybrid and multicloud architectures to innovate, grow, and reduce costs. But the complexity and scale of multicloud architecture invites new enterprise challenges. Protection means securing complex, distributed and high-velocity cloud architectures,” the article continued.
Change starts by thoroughly evaluating whether the current architecture, tools, and processes for configuration, infrastructure, code delivery pipelines, testing, and monitoring enable improved customer experience faster and with high quality or not. Rethinking the process means digital transformation.
Then, big data analytics technologies, such as Hadoop, NoSQL, Spark, or Grail, the Dynatrace data lakehouse technology, interpret this information. Establish data governance. ITOA tools to consider for your organization The following tools and technologies are used to support big data analytics technologies: Apache Hadoop.
The pandemic has transformed how government agencies such as Health and Human Services (HHS) operate. Generally, older technologies were not built to meet current expectations, are inefficient, difficult to maintain, and costlier to support long-term. IT modernization can help.
As DevSecOps practices gather steam in 2022, there are several concurrent technology trends that will likely further DevSecOps adoption. As a result, Git becomes the single source of truth and control mechanism for creating, updating, and deleting system architecture dynamically. Serverless architecture expands.
Simplifies application-only configuration by targeting pods and technologies using Kubernetes namespaces and annotations. We can also use them for security governance and control, such as pulling images from authorized registries or rejecting deployments that don’t pass security checks. Looking ahead.
It covers the whole range of technologies, from bleeding-edge cloud platforms down to the mainframe. We choose AppMon back then, not only because of the unique code-level visibility in production into each transaction but also because of the broadest technology coverage in the market. There’s a more efficient way with Dynatrace.
As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. We’ll discuss how the responsibilities of ITOps teams changed with the rise of cloud technologies and agile development methodologies. So, what is ITOps? What is ITOps? Why is IT operations important?
From new standards for automation and security convergence to redefining sustainability in IT, these shifts represent not just technological advancements but paradigm changes in how organizations operate, innovate, and compete. These capabilities will give organizations the confidence to deploy AI technologies at scale.
When American Family Insurance took the multicloud plunge, they turned to Dynatrace to automate Amazon Web Services (AWS) event ingestion, instrument compute and serverless cloud technologies, and create a single workflow for unified event management. Step 2: Instrument compute and serverless cloud technologies. ski explains.
As every company, and government department is pushed to digitally transform, accelerate workloads to the cloud, release better software faster, and then ensure it works perfectly across every customer interaction, the challenge to run this software increases exponentially. IT performance problems increase with cloud-native architectures.
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. It’s being recognized around the world as a transformative technology for delivering productivity gains. What is artificial intelligence?
The rise of cloud-native microservice architectures further exacerbates this change. This data overload also prevents customer-centric pricing models as users consider cost-effective technology platforms. Pricing the actual usage is integral to the financial accountability with the cloud architecture variable spend model.
The technology race never stops. Cloud-based application architectures commonly leverage microservices. WSO2 API Manager helps you to secure, govern, and analyze myriad incoming and outgoing API request types, but it offers little help in regards to its own operations. Dynatrace news.
With so many features, Azure continues to gain popularity among corporations and government agencies. While AWS and Azure promote the same capabilities — and perhaps a similar ultimate vision — their architectures are not equivalent. In 2019, the US Department of Defense chose Azure for its $10 billion cloud computing project, JEDI.
We choose AppMon back then, not only because of the unique code-level visibility in production into each transaction but also because of the broadest technology coverage in the market. The Dynatrace scalable grid architecture provides easy and limitless horizontal scalability for both SaaS and on-premise Managed deployments.
These heightened expectations are applied across every industry, whether in government, banking, insurance, e-commerce, travel, and so on. One advantage of digital experience over physical interaction is the tooling and technologies that are available to monitor and potentially improve the experience for your users. Break down silos.
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