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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.
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.
The Texas Risk and Authorization Management Program (TX-RAMP) provides a standardized approach for security assessment, certification, and continuous monitoring of cloud computing services that process the data of Texas state agencies. Complex IT environments that house these services are often built on hybrid and multicloud architectures.
This is especially true when we consider the explosive growth of cloud and container environments, where containers are orchestrated and infrastructure is software defined, meaning even the simplest of environments move at speeds beyond manual control, and beyond the speed of legacy Security practices.
More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. That’s because cloud platforms offer flexibility and extensibility for an organization’s existing infrastructure. What is hybrid cloudarchitecture?
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.
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.
Cloud application security is becoming more of a critical issue as cloud-based applications gain popularity. The cloud allows a modular approach to building applications, enabling development and operations teams to create and deploy feature-rich apps very quickly. What is cloud application security?
As organizations face an increasingly competitive, dynamic, and disruptive macroeconomic environment, they have turned to cloud services and digitization for an edge. But as they embrace digital transformation in the cloud, organizations often confront significant challenges. Even though the cloud brings enormous complexity.”
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.
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. The cost of cloud complexity. AI…it’s about time.
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.
In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.
As more organizations invest in a multicloud strategy, improving cloud operations and observability for increased resilience becomes critical to keep up with the accelerating pace of digital transformation. American Family turned to observability for cloud operations. Step 2: Instrument compute and serverless cloud technologies.
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. A lack of visibility into cloud environments . Complex and quick: The data explosion challenge .
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….
With observability eliminating the siloed views of the system and establishing a common means to observe, measure, and act on insights, agencies can boost cloud operations, innovate faster, and improve results. That’s why teams need a modern observability approach with artificial intelligence at its core. Register to listen to the webinar.
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. Disadvantages.
In order for software development teams to balance speed with quality during the software development cycle (SDLC), development, security, and operations teams (or DevSecOps teams) need to ensure that their practices align with modern cloud environments. Serverless architecture expands. AIOps for root-cause analysis becomes critical.
There's a move to regulate cloud providers by vertically separating the services they offer. Like railroads of yore, who were not allowed to provide freight services on top of their base services, cloud providers would not be allowed to provide services on top of their base platform services. The job of a cloud is to run workloads.
” As more organizations expand services via the cloud and demand for digital services increases, SRE practices are essential to meet up-time service level agreements, and to meet the continuous-integration/continuous-delivery (CI/CD) demands of DevOps and DevSecOps teams. Solving for SR. .” Dynatrace can help.
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 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. Automated DevOps throughout AWS hybrid-cloud environments. Kubernetes.
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.
Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential.
Security concerns are soaring with the rise of generative AI and cloud-native tech. The AI boom is pushing DevSecOps teams across industries to the limit as they struggle to secure increasingly complex cloud applications against expanding attack surfaces. AI observability accelerates AI benefits.
It starts with implementing data governance practices, which set standards and policies for data use and management in areas such as quality, security, compliance, storage, stewardship, and integration. Modern, cloud-native architectures have many moving parts, and identifying them all is a daunting task with human effort alone.
” As more organizations expand services via the cloud and demand for digital services increases, SRE practices are essential to meet up-time service level agreements, and to meet the continuous-integration/continuous-delivery (CI/CD) demands of DevOps and DevSecOps teams. Solving for SR. .” Dynatrace can help.
The joint commitment between Dynatrace and AWS to making our customer organizations successful has only deepened, with a focus on accelerating AWS cloud adoption and efficient use of hybrid environments. “We We are honored to be named ISV Partner of the Year in Austria by AWS,” said Rob Van Lubek, VP EMEA at Dynatrace.
Government. Government agencies can learn from cause-and-effect relationships to make more evidence-based policy decisions. Some incorporate features for data governance and quality control, which is important for ensuring the accuracy of causal inferences.
As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. The importance of ITOps cannot be overstated, especially as organizations adopt more cloud-native technologies.
With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.
She was speaking about how her team is providing Visibility as a Service (VaaS) in order to continuously monitor and optimize their systems running across private and public cloud environments. Reducing performance and architectural issues in their backend system gave them a 99% performance improvement!
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.
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 cloudarchitectures,” the article continued.
An open platform can address some of the challenges organizations have experienced as they move to the cloud to become more resilient and agile in the face of disruption. As organizations continue to operate in the cloud, open technologies become critical. Software should forward innovation and drive better business outcomes.
In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys.
It’s cliched to say that cloud adoption has changed everything in this race, but a full understanding of the intricacies of cloud-native applications is still rare. Cloud-based application architectures commonly leverage microservices. Cloud-based application architectures commonly leverage microservices.
“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.
If you are wondering what a service mesh is and whether you would benefit from having one, you likely have a mature Kubernetes environment running large cloud-native applications. A service mesh is a dedicated infrastructure layer built into an application that controls service-to-service communication in a microservices architecture.
Cloud-native injection with admission controllers. 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. Container build-time injection. Copies image layer into Docker image during build process. Looking ahead.
DevOps practices have been established in the last decade to accomplish this goal and deal with the dynamics of modern, cloud-native software architectures. The Cloud Native Computing Foundation defines a Golden Path as a “templated composition of well-integrated code and capabilities for rapid project development.”
The rise of cloud-native microservice architectures further exacerbates this change. Pricing the actual usage is integral to the financial accountability with the cloudarchitecture variable spend model. In today’s data-driven landscape, businesses are grappling with an unprecedented surge in data volume.
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