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IT infrastructure

Technologies that will Drive the Future of Infrastructure and Operations

Introduction

IT infrastructure and operations (I&O) Teams are under pressure to quickly adapt to changing business models by adopting new technologies, processes, hierarchies and enabling innovation through an agile, scalable and intelligent infrastructure. We’ll give an overview of what technologies I&O Teams need to integrate, to drive the Future of Infrastructure and Operations Management.

IT Infrastructure Management

IT infrastructure teams are responsible for managing the physical hardware that supports the systems, networks, and storage necessary for IT service delivery. This includes maintaining mainframes, system security, and network switches (network management), installing and patching hardware, monitoring assets, and configuring, deploying, or provisioning servers.

Operations Management

Operations Teams are responsible for the applications, processes, and platforms that support IT and business functions. This can include configuring, installing, and maintaining software, as well as database management, preventing downtime, disaster recovery, and deploying and integrating new technologies.

Integrating Infrastructure and Operations Management

The need for rapid development is part of the reason why infrastructure and operations are increasingly lumped together, whether placing infrastructure within IT Operations Management or whether referring to infrastructure and operations (I&O).

New technologies such as infrastructure-as-code and low-code workload automation platforms are making it easier for IT and Operations teams, developers, and even business personnel to quickly and reliably provision the servers, resources, and devices they need to complete their jobs. This accelerates the delivery of data to support real-time decision making and reduces the need for capacity planning.

Analysis

In this research, we define each technology, predict its market adoption, assess why you should care and list some of the imperatives that you should be aware of. Although this research focuses on individual technologies, you should be alert for opportunities that arise when two or more of these trends combine to enable new capabilities.

Artificial Intelligence for IT Operations (AIOps) Platforms

AIOps platforms combine big data and machine learning to support several primary IT operations functions. They do so through the scalable ingestion and analysis of the ever-increasing volume, variety and velocity of data that IT operations generate. These platforms enable the concurrent use of multiple data sources, data collection methods, and analytical and presentation technologies.

Compute Accelerators

Compute accelerators bring extreme performance and power efficiency. GPU-accelerators can deliver extreme performance for highly parallel compute- intensive workloads in HPC, DNN training and inferencing. GPU computing is also available as a cloud service and may be economical for applications where utilization is low but time to market needs are high. DNN ASICs will enable neural-network-based systems to address more opportunities in your business through improved cost and performance.

Container Management (Orchestration)

Container management includes container runtimes, container orchestration, job scheduling and resource management. It also aids in the life cycle management of containers. Container runtimes make it easier to exploit container functions, such as providing integration with DevOps tools and workflows. 

DevOps Toolchain

A DevOps toolchain is composed of tools for supporting DevOps pipeline activity and providing fast feedback as part of the software development life cycle. It typically covers six main activities: plan, create, verify, release, configure and monitor. Pipeline activities have started with discrete tools for various steps, but vendors are delivering solutions across the application development and delivery cycle.

Edge Computing

Edge computing solves many urgent issues, such as unacceptable latency and bandwidth and cost limitations, given a massive increase in edge- located data. Edge computing will enable aspects of the Internet of Things (IoT) and digital business well into the very near future.

Edge computing is a distributed computing topology that places information processing close to the things or people that produce or consume that information

Hybrid Cloud

Hybrid cloud is the integration of private and public cloud services to support parallel, integrated or complementary tasks. Hybrid cloud offers enterprises the best of both worlds — the cost optimization, agility, flexibility, scalability and elasticity benefits of public cloud, in conjunction with the control, compliance, security and reliability of private cloud. The solutions that hybrid cloud provides include service integration, availability/disaster recovery, cross-service security, policy-based workload placement and runtime optimization, and cloud service composition and dynamic execution.

Intent-Based Networking

Intent-based networking can transform network operations. IBNSs improve network agility and availability and support unified intent and policy across heterogenous infrastructures. An intent-based networking system (IBNS) provides:

  • Translation and validation
  • Automation
  • State awareness
  • Assurance and dynamic optimization

Next-Generation Memory

Next-generation memory is a type of non-volatile memory capable of displacing DRAM in servers. It has the density and manufacturing cost close to flash memory, but is fast enough to augment DRAM, or even replace it over time.

NVMe and NVMe-oF

Nonvolatile memory express (NVMe) and non-volatile memory express over fabrics (NVMe-oF) are host controller and network protocols that are taking advantage of the parallelaccess and low-latency features of solid-state storage and the PCIe bus. NVMe-oF extends access to nonvolatile memory (NVM) remote storage subsystems across a network.

Serverless Computing

Serverless computing is a model of IT service delivery. It uses the underlying enabling resources as an opaque, almost unlimited, shared pool that is continuously available without advance provisioning. The price of the pool is included in the cost of the consumed IT service. Serverless computing automatically provisions and operates the runtime environment.

Kanoo Elite provides an industry leading ITOM solution that addresses the biggest challenges faced by IT organizations in growing businesses. With Kanoo Elite, your ITOM team can source and aggregate application data such as event and system logs into a single platform that makes it easy to monitor and troubleshoot IT issues in real time, detect and respond to Indicators of Compromise (IoC) and leverage application data to enable better business decision-making. The integration of data from throughout your hybrid cloud environment into a single platform enhances the visibility of your entire IT infrastructure and makes it easy to scale IT Ops as you grow your business and Kanoo Elite solutions will assist you in deployment of advanced, explainable AI across the ITOps toolchain so you can confidently assess, diagnose and resolve incidents across mission-critical workloads.

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