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The Definitive Guide to Monitoring Virtual Environments
The virtualization of physical computers has become the backbone of public and private cloud computing from desktops to data centers, enabling organizations to optimize hardware utilization, enhance security, support multi-tenancy and more. These environments are complex and ephemeral, creating requirements and challenges beyond the capability of traditional monitoring tools that were originally designed for static physical environments. But modern solutions exist, and can bring your virtual env

OVERVIEW

The virtualization of physical computers has become the backbone of public and private cloud computing from desktops to data centers, enabling organizations to optimize hardware utilization, enhance security, support multi-tenancy and more. These environments are complex and ephemeral, creating requirements and challenges beyond the capability of traditional monitoring tools that were originally designed for static physical environments. But modern solutions exist, and can bring your virtual environment to new levels of efficiency, performance and scale.

This guide explains the pervasiveness of virtualized environments in modern data centers, the demand these environments create for more robust monitoring and analytics solutions, and the keys to getting the most out of virtualization deployments.

TABLE OF CONTENTS

·        History and Expansion of Virtualized Environments

·        Monitoring Virtual Environments

·        Approaches to Monitoring

·        Why Effective Virtualization Monitoring Matters

·        A Unified Approach to Monitoring Virtualized Environments

·        5 Key Capabilities for Virtualization Monitoring

o   Real-Time Awareness

o   Rapid Root-Cause Analytics

o   End-to-End Visibility

o   Complete Flexibility

o   Hypervisor Agnosticism

·        Evaluating a Monitoring Solution

o   Unified View

o   Scalability

o   CMDB Support

o   Converged Infrastructure

o   Licensing

·        Zenoss for Virtualization Monitoring

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

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.
Solving the BIG problems in cloud computing
The two big challenges in deploying and growing cloud usage are cost and security. Shadow IT has contributed to those challenges by causing overspending and exposing organizations to significant security risks. So, how should enterprises address both hybrid (on-premises and in the cloud) and multi-cloud challenges? This research reviews new technologies and approaches that can improve visibility for IT teams, enable security policies across the entire network, and manage costs more effectively.

Vladimir Galabov, Director, Cloud and Data Center Research, and Rik Turner, Principal Analyst, Emerging Technologies, are the co-authors of this eBook from Omdia, a data, research, and consulting business that offers expert analysis and strategic insight to empower decision-making surrounding new technologies.

This eBook covers the following topics:

  • the current landscape of cloud computing, including the BIG problems
  • the advantages of using a multi-cloud approach
  • the dangers of shadow IT, including billing surprises and security breaches
  • the move of mission-critical applications to the cloud
  • the considerations regarding cloud security, including recommendations for IT teams
Incorporating Mobile App Security into the Dev Lifecycle Without Friction
Security is an integral part of the mobile application development process. Organizations are beginning to prioritize security in their development process, but often at the end of the lifecycle. In this report, Guardsquare reviews the mobile application development process to demonstrate how to integrate security measures throughout the development lifecycle, not just at the end. In adapting these recommendations, developers can avoid slowdowns and ineffective, reactive security measures.

Mobile app security shouldn’t be left until the end of the development process. It is possible to integrate security measure throughout the entirety of the development process — even if your team is using one of the agile development methods. If an organization pushes security later in the development process, or even waits until the development process is complete, they run the risk of major complications and the consequences from security incidents. These include:

  • Financial loss
  • Reputational damage
  • Data loss (company or customer)
  • IP theft
  • And more
Overall, this makes security more expensive, especially if organizations find vulnerabilities after deployment. Consequently, it is the recommendation of industry experts that developers incorporate security into the lifecycle early via security assurance (SA).

This whitepaper will show your organization how to seamlessly integrate security throughout your mobile app’s development lifecycle, without slowing your app development teams down. Guardsquare covers each step of the secure software development lifecycle (SSDLC) and shows you how security tests can be built into each of the seven phases: inception, requirements analysis, architecture and design, development, testing, deployment, and steady state.

Ready to take your security strategy to the next level? Download the full report to get started!

iOS App Security: Is it really better than Android?
With its tightly controlled iOS ecosystem, Apple insists that its platform is more secure than Android’s. Is this really the case? This infographic explores the myths and misconceptions surrounding iOS security, and how they can affect your mobile app. From ‘fleeceware’ apps to sideloading, each security myth is evaluated and solutions are provided to help iOS apps improve their overall security posture.

Apple paints a rosy picture of of the iOS ecosystem’s security. However, the “walled garden,” or closed platform isn’t as secure as it appears. This myth often leads to developers neglecting security measures when creating apps for the iOS ecosystem, as they believe that Apple’s security is superior to Android’s.

In this infographic, Guardsquare provides an overview of Apple’s security features, like the closed system and code signing. Each is examined for both strengths and weakness. The infographic also looks at some of the system’s largest security concerns, including jailbreaking and sideloading.

Guardsquare’s analysis of the iOS system includes an analysis of over 200 tweaks, or scripts used to modify the behavior of iOS apps. The results yielded surprising insights:

  • 93% of the scripts provide free access within the targeted apps to premium content or features
  • Revenue losses for targeted apps could potentially cost the publisher millions of dollars annually
  • Scam apps found in the Apple Store generate approx. $48M in revenue

As demonstrated in this infographic, it is essential for iOS app developers to strengthen their mobile app’s security in the Apple ecosystem. Guardsquare offers strategic security recommendations to keep your organization’s apps secure, regardless of platform.

VMware performance and storage monitoring
Scaling up your VMware monitoring is a challenging game. IT teams have to constantly diagnose performance issues, rationalize their VM sprawl, and visualize their dynamic deployments to troubleshoot, manage, and cut costs. Read this whitepaper to understand why IT teams need an observability platform like Site24x7 to monitor their VMware deployments. Learn how Site24x7's detailed graphs and dashboards go beyond the default vSphere metrics provided onboard, to help observe all their VMware deplo
VMware virtualizes servers and consolidates resource allocation and usage. However, to reap the full benefits of this technology, it's important to understand the challenges surrounding VMware to overcome them and fully optimize their use. For this, it is necessary to understand the architecture of VMware resources, their usage, and performance at every step. To build a successful virtual environment, you have to first observe, understand, and evaluate the current trends and performance of your IT infrastructure, and then plan resource allocation for the future based on this analysis. This whitepaper illustrates the need to monitor different CPU, memory, disk, and network metrics and explains how these metrics provide visibility to your virtual environment. It will also discuss how each of them is important to eliminate over-commitment and under-provisioning.