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Showing 33 - 48 of 70 white papers, page 3 of 5.
Reducing Data Center Infrastructure Costs with Software-Defined Storage
Download this white paper to learn how software-defined storage can help reduce data center infrastructure costs, including guidelines to help you structure your TCO analysis comparison.

With a software-based approach, IT organizations see a better return on their storage investment. DataCore’s software-defined storage provides improved resource utilization, seamless integration of new technologies, and reduced administrative time - all resulting in lower CAPEX and OPEX, yielding a superior TCO.

A survey of 363 DataCore customers found that over half of them (55%) achieved positive ROI within the first year of deployment, and 21% were able to reach positive ROI in less than 6 months.

Download this white paper to learn how software-defined storage can help reduce data center infrastructure costs, including guidelines to help you structure your TCO analysis comparison.

How Data Temperature Drives Data Placement Decisions and What to Do About It
In this white paper, learn (1) how the relative proportion of hot, warm, and cooler data changes over time, (2) new machine learning (ML) techniques that sense the cooling temperature of data throughout its half-life, and (3) the role of artificial intelligence (AI) in migrating data to the most cost-effective tier.

The emphasis on fast flash technology concentrates much attention on hot, frequently accessed data. However, budget pressures preclude consuming such premium-priced capacity when the access frequency diminishes. Yet many organizations do just that, unable to migrate effectively to lower cost secondary storage on a regular basis.
In this white paper, explore:

•    How the relative proportion of hot, warm, and cooler data changes over time
•    New machine learning (ML) techniques that sense the cooling temperature of data throughout its half-life
•    The role of artificial intelligence (AI) in migrating data to the most cost-effective tier.

The Forrester Wave: Intelligent Application and Service Monitoring, Q2 2019
Thirteen of the most significant IASM providers identified, researched, analyzed and scored in criteria in the three categories of current offering, market presence, and strategy by Forrester Research. Leaders, strong performers and contenders emerge — and you may be surprised where each provider lands in this Forrester Wave.

In The Forrester Wave: Intelligent Application and Service Monitoring, Q2 2019, Forrester identified the 13 most significant IASM providers in the market today, with Zenoss ranked amongst them as a Leader.

“As complexity grows, I&O teams struggle to obtain full visibility into their environments and do troubleshooting. To meet rising customer expectations, operations leaders need new monitoring technologies that can provide a unified view of all components of a service, from application code to infrastructure.”

Who Should Read This

Enterprise organizations looking for a solution to provide:

  • Strong root-cause analysis and remediation
  • Digital customer experience measurement capabilities
  • Ease of deployment across the customer’s whole environment, positioning themselves to successfully deliver intelligent application and service monitoring

Our Takeaways

Trends impacting the infrastructure and operations (I&O) team include:

  • Operations leaders favor a unified view
  • AI/machine learning adoption reaches 72% within the next 12 months
  • Intelligent root-cause analysis soon to become table stakes
  • Monitoring the digital customer experience becomes a priority
  • Ease and speed of deployment are differentiators

PowerCLI - The Aspiring Automator's Guide
Automation is awesome but don't just settle for using other people's scripts. Learn how to create your own scripts and take your vSphere automation game to the next level! Written by VMware vExpert Xavier Avrillier, this free eBook presents a use-case approach to learning how to automate tasks in vSphere environments using PowerCLI. We start by covering the basics of installation, set up, and an overview of PowerCLI terms. From there we move into scripting logic and script building with step-by

Scripting and PowerCLI are words that most people working with VMware products know pretty well and have used once or twice. Everyone knows that scripting and automation are great assests to have in your toolbox. The problem usually is that getting into scripting appears daunting to many people who feel like the learning curve is just too steep, and they usually don't know where to start. The good thing is you don't need to learn everything straight away to start working with PowerShell and PowerCLI. Once you have the basics down and have your curiosity tickled, you’ll learn what you need as you go, a lot faster than you thought you would!

ABOUT POWERCLI

Let's get to know PowerCLI a little better before we start getting our hands dirty in the command prompt. If you are reading this you probably already know what PowerCLI is about or have a vague idea of it, but it’s fine you don’t. After a while working with it, it becomes second nature, and you won't be able to imagine life without it anymore! Thanks to VMware's drive to push automation, the product's integration with all of their components has significantly improved over the years, and it has now become a critical part of their ecosystem.

WHAT IS PowerCLI?

Contrary to what many believe, PowerCLI is not in fact a stand-alone software but rather a command-line and scripting tool built on Windows PowerShell for managing and automating vSphere environments. It used to be distributed as an executable file to install on a workstation. Previously, an icon was generated that would essentially launch PowerShell and load the PowerCLI snap-ins in the session. This behavior changed back in version 6.5.1 when the executable file was removed and replaced by a suite of PowerShell modules to install from within the prompt itself. This new deployment method is preferred because these modules are now part of Microsoft’s Official PowerShell Gallery. 7 These modules provide the means to interact with the components of a VMware environment and offer more than 600 cmdlets! The below command returns a full list of VMware-Associated Cmdlets!

Why Network Verification Requires a Mathematical Model
Learn how verification can be used in key IT processes and workflows, why a mathematical model is required and how it works; as well as example use cases from the Forward Enterprise platform.
Network verification is a rapidly emerging technology that is a key part of Intent Based Networking (IBN). Verification can help avoid outages, facilitate compliance processes and accelerate change windows. Full-feature verification solutions require an underlying mathematical model of network behavior to analyze and reason about policy objectives and network designs. A mathematical model, as opposed to monitoring or testing live traffic, can perform exhaustive and definitive analysis of network implementations and behavior, including proving network isolation or security rules.

In this paper, we will describe how verification can be used in key IT processes and workflows, why a mathematical model is required and how it works, as well as example use cases from the Forward Enterprise platform. This will also clarify what requirements a mathematical model must meet and how to evaluate alternative products.
ESG Report: Verifying Network Intent with Forward Enterprise
This ESG Technical Review documents hands-on validation of Forward Enterprise, a solution developed by Forward Networks to help organizations save time and resources when verifying that their IT networks can deliver application traffic consistently in line with network and security policies. The review examines how Forward Enterprise can reduce network downtime, ensure compliance with policies, and minimize adverse impact of configuration changes on network behavior.
ESG research recently uncovered that 66% of organizations view their IT environments as more or significantly more complex than they were two years ago. The complexity will most likely increase, since 46% of organizations anticipate their network infrastructure spending to exceed that of 2018 as they upgrade and expand their networks.

Large enterprise and service provider networks consist of multiple device types—routers, switches, firewalls, and load balancers—with proprietary operating systems (OS) and different configuration rules. As organizations support more applications and users, their networks will grow and become more complex, making it more difficult to verify and manage correctly implemented policies across the entire network. Organizations have also begun to integrate public cloud services with their on-premises networks, adding further network complexity to manage end-to-end policies.

With increasing network complexity, organizations cannot easily confirm that their networks are operating as intended when they implement network and security policies. Moreover, when considering a fix to a service-impact issue or a network update, determining how it may impact other applications negatively or introduce service-affecting issues becomes difficult. To assess adherence to policies or the impact of any network change, organizations have typically relied on disparate tools and material—network topology diagrams, device inventories, vendor-dependent management systems, command line (CLI) commands, and utilities such as “ping” and “traceroute.” The combination of these tools cannot provide a reliable and holistic assessment of network behavior efficiently.

Organizations need a vendor-agnostic solution that enables network operations to automate the verification of network implementations against intended policies and requirements, regardless of the number and types of devices, operating systems, traffic rules, and policies that exist. The solution must represent the topology of the entire network or subsets of devices (e.g., in a region) quickly and efficiently. It should verify network implementations from prior points in time, as well as proposed network changes prior to implementation. Finally, the solution must also enable organizations to quickly detect issues that affect application delivery or violate compliance requirements.
Forward Networks ROI Case Study
See how a large financial services business uses Forward Enterprise to achieve significant ROI with process improvements in trouble ticket resolution, audit-related fixes and change windows.
Because Forward Enterprise automates the intelligent analysis of network designs, configurations and state, we provide an immediate and verifiable return on investment (ROI) in terms of accelerating key IT processes and reducing manhours of highly skilled engineers in troubleshooting and testing the network.

In this paper, we will quantify the ROI of a large financial services firm and document the process improvements that led to IT cost savings and a more agile network. In this analysis, we will look at process improvements in trouble ticket resolution, audit-related fixes and acceleration of network updates and change windows. We will explore each of these areas in more detail, along with the input assumptions for the calculations, but for this financial services customer, the following benefits were achieved, resulting in an annualized net savings of over $3.5 million.
How to seamlessly and securely transition to hybrid cloud
Find out how to optimize your hybrid cloud workload through system hardening, incident detection, active defense and mitigation, quarantining and more. Plus, learn how to ensure protection and performance in your environment through an ideal hybrid cloud workload protection solution.

With digital transformation a constantly evolving reality for the modern organization, businesses are called upon to manage complex workloads across multiple public and private clouds—in addition to their on-premises systems.

The upside of the hybrid cloud strategy is that businesses can benefit from both lowered costs and dramatically increased agility and flexibility. The problem, however, is maintaining a secure environment through challenges like data security, regulatory compliance, external threats to the service provider, rogue IT usage and issues related to lack of visibility into the provider’s infrastructure.

Find out how to optimize your hybrid cloud workload through system hardening, incident detection, active defense and mitigation, quarantining and more. Plus, learn how to ensure protection and performance in your environment through an ideal hybrid cloud workload protection solution that:


•    Provides the necessary level of protection for different workloads
•    Delivers an essential set of technologies
•    Is structured as a comprehensive, multi-layered solution
•    Avoids performance degradation for services or users
•    Supports compliance by satisfying a range of regulation requirements
•    Enforces consistent security policies through all parts of hybrid infrastructure
•    Enables ongoing audit by integrating state of security reports
•    Takes account of continuous infrastructure changes

Office 365 / Microsoft 365: The Essential Companion Guide
Office 365 and Microsoft 365 contain truly powerful applications that can significantly boost productivity in the workplace. However, there’s a lot on offer so we’ve put together a comprehensive companion guide to ensure you get the most out of your investment! This free 85-page eBook, written by Microsoft Certified Trainer Paul Schnackenburg, covers everything from basic descriptions, to installation, migration, use-cases, and best practices for all features within the Office/Microsoft 365 sui

Welcome to this free eBook on Office 365 and Microsoft 365 brought to you by Altaro Software. We’re going to show you how to get the most out of these powerful cloud packages and improve your business. This book follows an informal reference format providing an overview of the most powerful applications of each platform’s feature set in addition to links directing to supporting information and further reading if you want to dig further into a specific topic. The intended audience for this book is administrators and IT staff who are either preparing to migrate to Office/Microsoft 365 or who have already migrated and who need to get the lay of the land. If you’re a developer looking to create applications and services on top of the Microsoft 365 platform, this book is not for you. If you’re a business decision-maker, rather than a technical implementer, this book will give you a good introduction to what you can expect when your organization has been migrated to the cloud and ways you can adopt various services in Microsoft 365 to improve the efficiency of your business.

THE BASICS

We’ll cover the differences (and why one might be more appropriate for you than the other) in more detail later but to start off let’s just clarify what each software package encompasses in a nutshell. Office 365 (from now on referred to as O365) 7 is an email collaboration and a host of other services provided as a Software as a Service (SaaS) whereas Microsoft 365 (M365) is Office 365 plus Azure Active Directory Premium, Intune – cloud-based management of devices and security and Windows 10 Enterprise. Both are per user-based subscription services that require no (or very little) infrastructure deployments on-premises.

How to Develop a Multi-cloud Management Strategy
Increasingly, organizations are looking to move workloads into the cloud. The goal may be to leverage cloud resources for Dev/Test, or they may want to “lift and shift” an application to the cloud and run it natively. In order to enable these various cloud options, it is critical that organizations develop a multi-cloud data management strategy.

The primary goal of a multi-cloud data management strategy is to supply data, either via copying or moving data to the various multi-cloud use cases. A key enabler of this movement is the data management software applications. In theory, data protection applications can perform both of the copy and move functions. A key consideration is how the multi-cloud data management experience is unified. In most cases, data protection applications ignore the user experience of each cloud and use their proprietary interface as the unifying entity, which increases complexity.

There are a variety of reasons organizations may want to leverage multiple clouds. The first use case is to use public cloud storage as a backup mirror to an on-premises data protection process. Using public cloud storage as a backup mirror enables the organization to automatically off-site data. It also sets up many of the more advanced use cases.

Another use case is using the cloud for disaster recovery.

Another use case is “Lift and Shift,” which means the organization wants to run the application in the cloud natively. Initial steps in the “lift and shift” use case are similar to Dev/Test, but now the workload is storing unique data in the cloud.

Multi-cloud is a reality now for most organizations and managing the movement of data between these clouds is critical.

Multi-cloud Data Protection-as-a-service: The HYCU Protégé Platform
Multi-cloud environments are here to stay and will keep on growing in diversity, use cases, and, of course, size. Data growth is not stopping anytime soon, only making the problem more acute. HYCU has taken a very different approach from many traditional vendors by selectively delivering deeply integrated solutions to the platforms they protect, and is now moving to the next challenge of unification and simplification with Protégé, calling it a data protection-as-a-service platform.

There are a number of limitations today keeping organizations from not only lifting and shifting from one cloud to another but also migrating across clouds. Organizations need the flexibility to leverage multiple clouds and move applications and workloads around freely, whether for data reuse or for disaster recovery. This is where the HYCU Protégé platform comes in. HYCU Protégé is positioned as a complete multi-cloud data protection and disaster recovery-as-a-service solution. It includes a number of capabilities that make it relevant and notable compared with other approaches in the market:

  • It was designed for multi-cloud environments, with a “built-for-purpose” approach to each workload and environment, leveraging APIs and platform expertise.
  • It is designed as a one-to-many cross-cloud disaster recovery topology rather than a one-to-one cloud or similarly limited topology.
  • It is designed for the IT generalist. It’s easy to use, it includes dynamic provisioning on-premises and in the cloud, and it can be deployed without impacting production systems. In other words, no need to manually install hypervisors or agents.
  • It is application-aware and will automatically discover and configure applications. Additionally, it supports distributed applications with shared storage. 
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Data Protection as a Service - Simplify Your Backup and Disaster Recovery
Data protection is a catch-all term that encompasses a number of technologies, business practices and skill sets associated with preventing the loss, corruption or theft of data. The two primary data protection categories are backup and disaster recovery (DR) — each one providing a different type, level and data protection objective. While managing each of these categories occupies a significant percentage of the IT budget and systems administrator’s time, it doesn’t have to. Data protection can
Simplify Your Backup and Disaster Recovery

Today, there are an ever-growing number of threats to businesses and uptime is crucial. Data protection has never been a more important function of IT. As data center complexity and demand for new resources increases, the difficulty of providing effective and cost-efficient data protection increases as well.

Luckily, data protection can now be provided as a service.

Get this white paper to learn:
  • How data protection service providers enable IT teams to focus on business objectives
  • The difference, and importance, of cloud-based backup and disaster recovery
  • Why cloud-based backup and disaster recovery are required for complete protection
How iland supports Zero Trust security
This paper explains the background of Zero Trust security and how organizations can achieve this to protect themselves from outside threats.
Recent data from Accenture shows that, over the last five years, the number of security breaches has risen 67 percent, the cost of cybercrime has gone up 72 percent, and the complexity and sophistication of the threats has also increased.

As a result, it should come as no surprise that innovative IT organizations are working to adopt more comprehensive security strategies as the potential damage to business revenue and reputation increases. Zero Trust is one of those strategies that has gained significant traction in recent years.

In this paper we'll discuss:
  • What is Zero Trust?
  • The core tenants of iland’s security capabilities and contribution to supporting Zero Trust.
    • Physical - Still the first line of defense
    • Logical - Security through technology
    • People and process - The critical layer
    • Accreditation - Third-party validation
  • Security and compliance as a core iland value
The SysAdmin Guide to Azure Infrastructure as a Service
If you're used to on-premises infrastructures, cloud platforms can seem daunting. But it doesn't need to be. This eBook written by the veteran IT consultant and trainer Paul Schnackenburg, covers all aspects of setting up and maintaining a high-performing Azure IaaS environment, including: • VM sizing and deployment • Migration • Storage and networking • Security and identity • Infrastructure as code and more!

The cloud computing era is well and truly upon us, and knowing how to take advantage of the benefits of this computing paradigm while maintaining security, manageability, and cost control are vital skills for any IT professional in 2020 and beyond. And its importance is only getting greater.

In this eBook, we’re going to focus on Infrastructure as a Service (IaaS) on Microsoft’s Azure platform - learning how to create VMs, size them correctly, manage storage, networking, and security, along with backup best practices. You’ll also learn how to operate groups of VMs, deploy resources based on templates, managing security and automate your infrastructure. If you currently have VMs in your own datacenter and are looking to migrate to Azure, we’ll also teach you that.

If you’re new to the cloud (or have experience with AWS/GCP but not Azure), this book will cover the basics as well as more advanced skills. Given how fast things change in the cloud, we’ll cover the why (as well as the how) so that as features and interfaces are updated, you’ll have the theoretical knowledge to effectively adapt and know how to proceed.

You’ll benefit most from this book if you actively follow along with the tutorials. We will be going through terms and definitions as we go – learning by doing has always been my preferred way of education. If you don’t have access to an Azure subscription, you can sign up for a free trial with Microsoft. This will give you 30 days 6 to use $200 USD worth of Azure resources, along with 12 months of free resources. Note that most of these “12 months” services aren’t related to IaaS VMs (apart from a few SSD based virtual disks and a small VM that you can run for 750 hours a month) so be sure to get everything covered on the IaaS side before your trial expires. There are also another 25 services that have free tiers “forever”.

Now you know what’s in store, let’s get started!

Why Should Enterprises Move to a True Composable Infrastructure Solution?
IT Infrastructure needs are constantly fluctuating in a world where powerful emerging software applications such as artificial intelligence can create, transform, and remodel markets in a few months or even weeks. While the public cloud is a flexible solution, it doesn’t solve every data center need—especially when businesses need to physically control their data on premises. Download this report to see how composable infrastructure helps you deploy faster, effectively utilize existing hardwar

IT Infrastructure needs are constantly fluctuating in a world where powerful emerging software applications such as artificial intelligence can create, transform, and remodel markets in a few months or even weeks. While the public cloud is a flexible solution, it doesn’t solve every data center need—especially when businesses need to physically control their data on premises. This leads to overspend— purchasing servers and equipment to meet peak demand at all times. The result? Expensive equipment sitting idle during non-peak times.

For years, companies have wrestled with overspend and underutilization of equipment, but now businesses can reduce cap-ex and rein in operational expenditures for underused hardware with software-defined composable infrastructure. With a true composable infrastructure solution, businesses realize optimal performance of IT resources while improving business agility. In addition, composable infrastructure allows organizations to take better advantage of the most data-intensive applications on existing hardware while preparing for future, disaggregated growth.

Download this report to see how composable infrastructure helps you deploy faster, effectively utilize existing hardware, rein in capital expenses, and more.

Exploring AIOps: Cluster Analysis for Events
AIOps, i.e., artificial intelligence for IT operations, has become the latest strategy du jour in the IT operations management space to help address and better manage the growing complexity and extreme scale of modern IT environments. AIOps enables some unique and new capabilities on this front, though it is quite a bit more complicated than the panacea that it is made out to be. However, the underlying AI and machine learning (ML) concepts do help complement, supplement and, in particular cases
AIOps, i.e., artificial intelligence for IT operations, has become the latest strategy du jour in the IT operations management space to help address and better manage the growing complexity and extreme scale of modern IT environments. AIOps enables some unique and new capabilities on this front, though it is quite a bit more complicated than the panacea that it is made out to be. However, the underlying AI and machine learning (ML) concepts do help complement, supplement and, in particular cases, even supplant more traditional approaches to handling typical IT Ops scenarios at scale.

An AIOps platform has to ingest and deal with multiple types of data to develop a comprehensive understanding of the state of the managed domain(s) and to better discern the push and pull of diverse trends in the environment, both overt and subtle, that may destabilize critical business outcomes. In this white paper, we will take a look at an AIOps approach to handling one of the fundamental data types: events.
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