Data Center

Data Center Modernization

Anexinet turns legacy Data Centers into solutions that deliver the speed and innovation needed to thrive in today’s digital economy. Our data center modernization architects and engineers identify, deploy, and verify the ideal hardware, software, and as-a-service elements to transform your legacy, siloed architectures into a cohesive, software-designed virtual environment. Whether your organization is operating an on-premises, cloud, or hybrid environment, our Data Center Modernization experts will transform your inflexible, hard-to-scale, tough-to-deploy data center into an agile, highly virtualized, cloud-connected, service-oriented infrastructure that enhances your competitive edge by easily scaling to meet evolving need. Anexinet’s consultants and engineers have deep experience integrating the latest technologies in:

• Enterprise Servers
• Enterprise Storage
• Hyperconverged Infrastructure
• Software Defined & Cloud Connected
• HPC & Big Data Platforms

Enterprise Storage

Capacity isn’t the only storage concern for modern enterprises. Digital transformation initiatives have redefined how businesses approach their infrastructure, creating a surge of demand in cloud computing. Today’s applications and deployments are dependent on highly available and responsive database solutions that transmit real-time information on-demand. But as more technology relies on the speed and availability of vast amounts of real-time data, the need for smarter storage options becomes more pressing.Aging infrastructure leads to slow response times, poor application performance, and other problems.

Organizations find they have limited options to reduce Cloud storage costs, as they’re locked into their current Cloud provider, and are unable to absorb downtime to migrate to a better solution. However, Intelligent Storage leverages artificial intelligence (AI) to create a responsive environment that automatically adapts to scaling storage needs. AI-enabled solutions learn and adapt to new demands in hybrid cloud environments, optimizing and enabling database resources across an entire infrastructure to provide the most efficient and cost-effective storage capacities and capabilities.

These AI algorithms handle advanced problem-solving scenarios in real-time that would otherwise take IT teams days or even weeks to diagnose and remedy. This efficiency in design gives back valuable resources to organizations looking to scale applications and services without costly downtime and other performance issues. Get the scalability, intelligence, and Cloud integration you need to unlock the value of your data, and accelerate critical workloads from core to edge to Cloud while decreasing application outages and reducing storage requirements with advanced deduplication.We partner with leading brands like Hewlett Packard Enterprise (HPE), DellEMC, and Qumuloto deliver Intelligent Storage with unparalleled flexibility to meet the demand for faster, more reliable solutions:

HPC & Big Data Platforms

Big Data insights enable faster and smarter decision-making. But yesterday’s data management technology can’t adequately scale to accommodate today’s Big Data.

Big Data Platforms—a new product class that meets today’s requirements for scalability, performance, availability, and security. Big data Platforms like Microsoft Azure are capable of processing massive volumes of multi-structured data and represent a sea change in the way organizations capture, store, and process data. The platforms comprise an ecosystem of components—from storage, servers, and databases to management, governance, administrative tools and BI data processing and analytic engines to support custom development, querying, and systems integration. These enterprise-class IT platforms combine the features and capabilities of Big Data applications and utilities into a single solution to reduce overall complexity while delivering on-premises and/or cloud-based solutions and services. Anexinet facilitates the development, deployment, and management of your Big Data infrastructures and environments through the implementation of a Big Data Platform.