Despite federal agencies’ success in migrating workloads and applications to the cloud, a hybrid approach will most likely remain the norm for the foreseeable future. Federal IT leaders can use a cloud-first mindset to optimize their on-premises data centers strategically.
Infrastructure automation should be heavily used in data center modernization projects. Manually allocating computing, storage, or network resources may cause critical government services or operations to be delayed. IT teams have long struggled with using separate management tools for different infrastructure components, which only adds complexity, reduces visibility, and complicates security.
IT teams typically require separate tools to manage campus, branch, and core networks, even within the network domain. Even when performed by highly skilled engineers, repeated manual, hand-crafted changes expose the individual to human error, eventually resulting in configuration drift. As a result, stakeholders become impatient as infrastructure teams spend hours responding to requests to support a new application or mission objective.
It’s Time To Think About a Different Way
Aruba’s campus core and data center networking is handled differently architecturally, allowing agency IT teams to use intelligent automation to accelerate infrastructure provisioning and streamline processes.
Our cutting-edge, microservices-based switching operating system, Aruba AOS-CX, which runs on the Aruba CX campus and data center switches, is at the heart of our architecture. All Aruba CX switch models are identical, laying the groundwork for intelligent automation. Aruba Fabric Composer, our software-defined orchestration solution, enables IT teams to streamline and accelerate the provisioning of compute, storage, and network resources.
With Aruba Fabric Composer, agency IT teams can:
Simplify Infrastructure Operations
IT teams can use Aruba Fabric Composer to orchestrate CX switches into a unified network fabric, automating and streamlining daily tasks. Instead of complex command-line configurations, IT teams can automate workflows using a simple point-and-click interface. Automating repetitive management tasks can speed up server-side provisioning and network deployments. There is less room for human error.
Accelerate Infrastructure Provisioning
IT teams can use Aruba Fabric Composer to simplify the design and configuration of cloud-scale data center fabrics, such as EVPN-VXLAN for the virtual overlay and leaf-spine architectures for the physical network. Because network operations staff do not need in-depth knowledge of network fabric design, configuration, and protocols to make changes, skilled engineers can focus on higher-value tasks. Virtual network infrastructure can be located and viewed using Aruba Fabric Composer. It can adjust the fabric automatically in response to configuration changes and virtual machine lifecycle events. IT administrators can use Aruba Fabric Composer to extend and manage connectivity across their IT estate, including VMware, HPE GreenLake, and HPE ProLiant Servers, and configure Aruba CX switches.
Increase Visibility and Control
Aruba Fabric Composer provides IT teams with end-to-end visibility, allowing them to address connectivity or performance issues before negatively impacting the user experience or mission objectives. By giving IT teams more control over security policy and network micro-segmentation, Aruba Fabric Composer aids the transition to Zero Trust security.
Modernize and Automate Your Data Center With Aruba
The modernization of a data center can be a significant project. However, by modernizing with Aruba’s intelligent data center network solutions, agency teams can provide resilient services while increasing operational efficiency and simplicity.
READ MORE:
https://ictdistribution.net/kh/blog/2023/05/08/uncovering-aruba-esp/
The Need for Automation in Data Center Modernization
Data centers are critical in today’s fast-paced digital world for meeting the rising demand for information processing and storage. Due to the exponential growth of data businesses, traditional manual methods of managing and maintaining data centers are no longer practical or cost-effective. Automation is now recognized as a critical component of modernizing data centers.
Automation is the process of utilizing hardware and software systems to carry out tasks with minimal human intervention. It enables data center managers to increase productivity, streamline processes, and reduce the possibility of human error. Organizations can save time and resources by automating routine tasks such as server provisioning, patch management, and monitoring. You can redirect these resources to more critical business aspects.
One of the primary factors driving the need for data center modernization automation is scalability. Businesses require more computing power and storage as they expand their operations. Manual scaling processes can be time-consuming and error-prone, causing frequent service interruptions and downtime. Automation lets data center managers quickly scale up or down their infrastructure to meet demand, ensuring performance and customer satisfaction.
The Role of Artificial Intelligence in Federal IT
Artificial intelligence (AI), a disruptive technology, can potentially transform federal information technology (IT) significantly. As government agencies strive to improve the effectiveness and efficiency with which they provide services to citizens, AI presents several opportunities to streamline procedures, improve decision-making, and ultimately advance the mission of federal IT.
Data analysis is a critical area where AI can significantly contribute to federal IT. Government agencies generate massive amounts of daily data, ranging from financial records to demographic information. However, with AI capabilities, maximizing the value of this data can be more accessible. AI can quickly comb through large datasets using machine learning algorithms, identifying patterns, trends, and anomalies that would otherwise go unnoticed. It enables agencies to collect helpful information that guides policy decisions and optimizes resource allocation.
Furthermore, AI-powered predictive analytics can help federal IT systems anticipate upcoming demands and challenges. AI algorithms can generate accurate predictions of service demand, resource requirements, and potential issues by analyzing historical data and identifying patterns.
Cloud-Based Solutions for Scalable and Flexible Data Center Operations
Data center operations have grown exponentially due to increased demand for digital services and storage. Organizations have had to devise novel methods of efficiently managing their data centers to meet this demand. Cloud-based solutions are becoming more popular.
Data center operations management is more flexible and scalable with cloud-based solutions. Organizations can use the cloud to store, process, and distribute data instead of relying on physical infrastructure and on-premises servers. It gives you more flexibility to scale up or down based on your company’s needs.
Cloud-based data center operations enable resource scaling. Organizations would have to spend more money on hardware and software licenses to handle rising workloads with traditional on-premises infrastructure.
Final Thought
Embracing automation for data center modernization is critical for the future of federal IT. We can no longer rely on obsolete and inefficient systems due to the rapid advancement of technology.
Numerous advantages to automation should be noticed. The benefits range from lower human error rates and increased productivity to increased scalability and security. Federal agencies can streamline their operations and provide better services to the public by implementing automation.
It is critical to remember that implementing automation has its issues and problems. Automating federal IT requires ensuring that IT professionals are adequately trained and educated, understand the potential impact on the workforce, and address data privacy concerns.
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