Virtualization Technology News and Information
White Papers
RSS
White Papers Search Results
Showing 1 - 4 of 4 white papers, page 1 of 1.
Ovum: Igel's Security Enhancements for Thin Clients
Thin client vendor Igel is enhancing the security capabilities of its products, both under its own steam and in collaboration with technology partners. Ovum sees these developments as important for the next wave of thin client computing, which will be software-based – particularly if the desktop-as-a-service (DaaS) market is to take off.

With hardware-based thin client shipments in the region of 4–5 million units annually, this market is still a drop in the ocean compared to the 270 million PCs shipping each year, though the latter figure has been declining since 2011. And within the thin client market, Igel is in fourth place behind Dell and HP (each at around 1.2 million units annually) and China’s Centerm, which only sells into its home market.

However, the future for thin clients looks bright, in that the software-based segment of the market  (which some analyst houses refuse to acknowledge) is expanding, particularly for Igel. Virtual desktop infrastructure (VDI) technology has stimulated this growth, but the greatest promise is probably in the embryonic DaaS market, whereby enterprises will have standard images for their workforce hosted by service providers.

Top 10 strategies to manage cost and continuously optimize AWS
The great cloud migration has upended decades of established architecture patterns, operating principles, and governance models. Without any controls in place, cloud spend inevitably rises faster than anticipated and often gets overlooked until it gets out of control. With its granular and short-term billing cycles, the cloud requires a degree of financial discipline that is unfamiliar to most traditional IT departments. Faced with having to provide short-term forecasts and justify them agains

The public cloud has unleashed an unprecedented wave of creativity and agility for the modern enterprise. A great cloud migration has upended decades of established architecture patterns, operating principles, and governance models. However, without any replacement for these traditional controls in place, cloud spend inevitably rises faster than anticipated. If not addressed early in the cycle, this is often overlooked until it gets out of control.

Over the course of a few decades, we have created a well-established model of IT spending; to arrive at economies of scale, procurement is centralized and typically happens at three- to five-year intervals, with all internal customers forecasting and pooling their needs. This created a natural tendency for individual project owners to overprovision resources as insurance against unexpected demand. As a result, the corporate data center today is where the two famous laws of technology meet:

  • Moore’s Law ensures that capacity increases to meet demand
  • Parkinson’s Law ensures that demand rises to meet capacity

With its granular and short-term billing cycles, the cloud requires a degree of financial discipline that is unfamiliar to most traditional IT departments. Faced with having to provide short-term forecasts and justify them against actual spend, they need to evolve their governance models to support these new patterns.

Having a well thought out AWS strategy is crucial to your long-term cloud gains. Taking the time to understand and pick the right instances for your apps is well worth the time and effort as it will directly impact your AWS pricing and bill.

We hope these ten strategies help inform and support you as you navigate the sometimes-turbulent waters of cloud transition. They are here for you to consult and rely on as best practices and cost-saving opportunities.

Given the virtually uncountable number of combinations, we have tried to identify the most practical and reliable ways to optimize your deployment at all stages and empower your end-users while insulating them from temptations, assumptions and habits that can cost you some unpleasant surprises when the bill arrives.

Forrester: Monitoring Containerized Microservices - Elevate Your Metrics
As enterprises continue to rapidly adopt containerized microservices, infrastructure and operations (I&O) teams need to address the growing complexities of monitoring these highly dynamic and distributed applications. The scale of these environments can pose tremendous monitoring challenges. This report will guide I&O leaders in what to consider when developing their technology and metric strategies for monitoring microservices and container-based applications.
As enterprises continue to rapidly adopt containerized microservices, infrastructure and operations (I&O) teams need to address the growing complexities of monitoring these highly dynamic and distributed applications. The scale of these environments can pose tremendous monitoring challenges. This report will guide I&O leaders in what to consider when developing their technology and metric strategies for monitoring microservices and container-based applications.
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

top25