Anexinet

Automation

Automation

Automation

Reduce human error, save time,

and improve efficiencies

Overview

Automation is moving front and center on the stage of business priorities. Advancements in artificial intelligence, robotic process bots and software-defined everything are fueling business cases for a variety of automation scenarios. These include front-end customer service, back-end business processes, and IT operations.

 

At Anexinet, we take an end-to-end approach to enterprise automation. Our predictive, highly intelligent hyper-automation solutions transform customer experiences, legacy processes, data centers, infrastructure, and operations, saving your customers and employees time and letting them focus on what truly matters: accelerating the completion of tasks and avoiding costly mistakes and delays.

 

Our patent-pending IT Process Automation solutions for infrastructure management, application integration, workload deployment, and more are custom-tailored to each client’s specific needs. The end result is an optimized stateless, autonomous IT ecosystem through Infrastructure as Code (IaC) and Cloud Management Services (CMP). By leveraging toolsets from today’s automation leaders, we enable Process Automation solutions that cut costs, reduce personnel workload, and eliminate reactive processes.

Infrastructure Automation

Repetitive, unwieldy datacenter tasks sap precious man-hours, generate errors, and expose infrastructure and data to security risks. Roughly 80% of the time spent in a datacenter is focused on completing 20% of tasks. Automating tasks to be strictly hands-off (e.g., updating physical server firmware and hypervisor software, deploying and configuring virtual machines, creating virtual desktop templates, etc.) eliminates errors and yields a repeatable, predictive software-defined datacenter that lets your team focus on the future.

 

We leverage best-of-breed automation orchestration engines such as Red Hat Ansible, Hashicorp Packer, and Terraform to create playbooks that replicate datacenter tasks. The ultimate goal? Decoupling the endpoints of a maintenance or deployment task from the work it takes to complete it.

 

Further, Anexinet provides automation for many technologies and endpoints (including Microsoft Windows, Linux/UNIX, vSphere, API endpoints for web applications, and more) to enable:

Upgrading a server’s firmware may be a reasonable task for one person to perform manually with minimal mistakes or time spent. But over years of maintenance, this becomes a nontrivial burden. Multiply this by thousands of servers, and the scaling problem is obvious. Automation minimizes this complexity and decouples endpoints from the workload by enabling the upgrading of a thousand servers with the same effort it takes to upgrade just one.

 

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CASE STUDY:

ENSURE SECURITY COMPLIANCE FOR 4K PHARMA SERVERS

A North American pharmaceutical company urgently needed to patch the firmware and operating systems of thousands of physical servers across clusters and geographic locations to achieve security compliance. With over 50,000 virtual machines running on the physical servers, the client’s existing methods would have taken over two years to complete a single pass.

 

The client engaged Anexinet as their automation partner to eliminate the human-error risk inherent in repetitive tasks. Leveraging the Red Hat Ansible Automation Platform, we accelerated the client’s migration, maintenance, upgrades, and return to production with a framework that automates end-to-end physical/virtual server patching and verification and provides alerts for exceptions requiring further investigation.

Virtual desktop infrastructure image automation

Virtual desktop administrators understand the importance of maintaining images to mitigate security risks, usability issues, and conflicts between client-requirements and current-state.

 

The legacy approach is to maintain images by making changes and manually testing them as needed. An automated DevOps approach automatically creates and validates new images from scratch. This eliminates undocumented steps, human error, and entropy from maintaining an image in an unknown state while providing a repeatable, robust image for stable, up to date, UX-driven virtual desktops.

 

For a user-friendly GUI view of the automation pipelines created with Red Hat Ansible, Ansible Tower provides integrations with APIs, visual feedback on pipeline performance, intelligent responses to pushing projects on your internal version control, and more.

 

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Cloud and Hybrid IT Automation

The power of cloud-environment automation is in scaling, flexibility, and repeatability. Onsite workloads may be quickly instantiated in the cloud for disaster recovery or migration, or when demand exceeds resources. Our automation solutions minimize cloud-usage costs by letting you to scale-down to match demand so you pay only for the resources necessary to each workload.

 

We also automate and orchestrate cloud, edge, and hybrid workload deployments and configurations (by using Hashicorp Terraform, Red Hat Ansible Engine, and Tower) to cut costs, reduce fees, optimize resources, and reduce lifecycle maintenance.

 

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CASE STUDY:

AUTOMATIC WAN MANAGEMENT

This Internet Service Provider (ISP) needed help managing a large, core Nokia and Cisco Wide Area Network (WAN) with predictive fault isolation.

 

Anexinet helped the client leverage Robotic Process Automation (RPA) involving (Ansible/UiPath, etc.) and captured telemetry data to detect conditions and perform adjustments to the ISP network to improve the experience of WAN customers by ensuring an always-on network.

Customer Service Automation

As customer interactions increasingly transform into digital experiences, the world’s most successful brands are rethinking what constitutes great customer service. By deploying AI-enabled automation in customer-facing scenarios, companies can achieve the dual benefits of offering customers more flexibility while increasing their scale of operations. Today’s cognitive digital assistants do more than just reduce time-to-service and automate manual tasks. They can recognize intent and proactively anticipate the needs of your customers.

 

When it comes to helping clients accelerate the transformation of their customer experience, Anexinet is at the forefront. We offer strategy, design, implementation, and ongoing managed services for customer-facing automation. Our Cognitive AI and front-office automation solutions achieve measurable business benefits, including higher customer-satisfaction scores, increased operational-efficiency, and cost optimization.

 

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Robotic Process Automation

People are your organization’s most important asset. It therefore makes sense to apply your employees’ unique talents on value-adding activities instead of on repetitive, time-consuming, error-prone tasks. Automation is the key to increasing efficiency and unlocking higher-value activities. The emergence of AI-based technologies (e.g., Machine Learning, Natural Language Processing, Computer Vision) have given rise to Robotic Process Automation (RPA). RPA is a new category of automation where highly intelligent software “robots” perform tasks that previously relied on human effort.

 

Like most new technologies, RPA requires a thoughtful and disciplined approach to adoption. This is where Anexinet can help. We accelerate and de-risk your RPA initiatives while establishing a foundation that will pay dividends for many years to come. We help companies define their RPA strategy and roadmap, select best-fit technology, implement quick wins, and continuously expand and improve. Anexinet works closely with our clients to design and implement assisted RPA and unattended RPA scenarios across all industries and use cases.

 

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Business Process Automation

The discipline of Business Process Management (BPM) includes many time-tested approaches to analyzing, optimizing, and automating the critical workflows of a business. While analysis and modeling techniques have remained relatively consistent, advances in technology are causing organizations to rethink what they may effectively automate.

 

Anexinet specializes in the art of the possible. Our team of experienced consultants bring a holistic viewpoint to Business Process Automation. We start by ensuring the processes themselves are optimized (there is rarely a good business case for automating a poor process). Next, we apply our deep expertise in orchestration, workflow management, RPA, instrumentation and advanced analytics to implement intelligent automation solutions for your business. No business process is too complex for our automation experts. What’s more, we architect and build highly flexible automation solutions that continuously adapt to your ever-evolving business landscape. Your next competitive advantage begins with Anexinet’s automation solutions.

 

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DevOps Automation

Clients often encounter roadblocks when building, testing, and deploying applications. Variations between local configurations and staging areas require many changes and redeployments when building into a test environment. Without an automated staging strategy, the time it takes to produce viable artifacts is increased.

 

Even more damaging are environmental inconsistencies that generate bugs that can only be identified in development (or after changing to production), likely because of unknown conditions, local tweaks, production fixes not retrofitted into source documents, or errors related to entropy in infrastructure.

 

The modern DevOps approach relies on automated end-to-end testing in environments that have parity with staging and production. Developers build local environments with the same level of automation as the staging environment and production infrastructure. Automated testing and verification leads to smooth stateless deployments—or even application mergers to the master branch— that are performed with the push of a button.

 

Code that may be pushed through testing and verification faster and easier can be tested more frequently, resulting in a more reliable and robust final application. This is the power of the DevOps approach to your automation pipeline.

CASE STUDY:

MINIMIZE APP DEV COSTS

The DevOps teams at this large CPU manufacturer leveraged public cloud compute but found their application development costs quickly escalating out of control.

 

Anexinet implemented Robotic Process Automation (RPA) for Infrastructure and Applications (via Ansible and UiPath) to tie Business Units/Owners to systems/projects with standup and tear down linked to cost models verified with accountability. As a result of the engagement, the client experienced a 38% cost savings in the first quarter alone by deprioritizing less productive projects and shutting down unnecessary systems.

CASE STUDY:

AUTOMATE THOUSANDS OF SERVERS

This US telecommunications firm needed to implement administrative automation of its large, diverse server ecosystem to alleviate the IT management burden. The client’s goals included 1000+ Dell Server BIOS/Firmware upgrades, 2000+ HP Proliant BIOS/Firmware upgrades, HP Primera firmware upgrades with pool management, HP Synergy upgrade with node management, and Anexinet leveraged a Morpheus Single-UI Dashboard to control all automation elements and prevent storage and server outages by executing Ansible and REST APIs—all governed by AI safety logic to prevent storage/server outages. As a result, the engagement significantly reduced upgrade cycles and IT administrative overhead and enabled a digital-footprint increase without affecting headcount—all while providing predictable, repeatable results.

IT Service Management

IT infrastructure management involves many challenges: maintaining legacy applications, disparate architectures and platforms, alert fatigue, and more. Our Automated IT Service Model confronts these problems head-on, creating custom solutions to handle network and security monitoring via policy-based workflows. With intelligent integration, your ticketing and issue-custody systems are made aware of your infrastructure monitoring.

 

Alerts around infrastructure monitoring tools, networking issues, application problems, and errant performance metrics remain active until resolved. A legacy IT monitoring system passes these alerts directly to engineers or your ticket management system. In contrast, our system passes these alerts to an automation and interpretation layer.

 

In the automation layer, workflows based on policy handle the incoming alerts from the monitoring layer. Notifications are interpreted and passed to ticketing systems, and status changes can be reflected in the same tickets rather than creating new issues (e.g., a self-healing problem can close the issue, indicate issue resolution, or create additional notes). The automation layer may even remediate problems by initiating automated workflows (and recording workflow results in the relevant ticket) without manual intervention from IT personnel.

 

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