SYS-CON MEDIA Authors: Yeshim Deniz, Roger Strukhoff, Jason Bloomberg, Pat Romanski, Liz McMillan

Blog Feed Post

Universal vs Unified Monitoring: What’s the Difference?

Universal vs Unified MonitoringThe difference between Universal Monitoring and Unified Monitoring is worth understanding; these words sound so similar that they might be used interchangeably, but they are not the same.

Universal Monitoring

eG Innovations introduced Universal Monitoring with a universal agent over 15 years ago. The operative word here is, of course, universal. Not only does the agent provide a single license regardless of what data is being collected, but it is truly universal in that it doesn’t really care what data it’s collecting. It will collect ANY data it’s asked to collect.

For example, the eG Manager provides out-of-the-box instructions for the eG Agent to gather metrics from 10+ operating systems, 180+ applications and 10+ virtualization platforms, and this list is usually what people focus on.

eG Enterprise Universal Monitoring

Figure 1 – Universal Agent Technology

 

But the eG Universal Agent can actually be instructed to collect data from any device or application in any number of ways, including application-specific protocols, utilities and/or APIs. In addition, the metrics are not limited to IT or technology; the eG Universal Agent can collect business metrics such as the total value of transactions executed.

So, eG’s Universal Agent technology is just that – a universal method of collecting data – agent-based or agentless, active or passive, and using whatever data collection mechanism is appropriate. It doesn’t care!

Any new measurements or tests are automatically made available to all other agents, and new agents can be deployed on the gold images or remotely and rapidly pushed to target systems using any software deployment tool. They are lightweight (0.1-0.3% CPU, 0.5-1 Kbps of bandwidth) and employ a secure, web-friendly communication that allows for monitoring across firewalls and private networks.

So, when we say Universal Monitoring we’re typically referencing a simple, universal approach to data collection.

Unified Monitoring

On the other hand, when you hear the term Unified Monitoring, this is slightly different. The ability to collect data from every layer of every device and across distributed public, private or hybrid clouds is about data collection. However, bringing all this data together and making sense out of it is where universal ends and unification begins. Let me explain.

The cross-domain and cross-tier visibility provided by eG Enterprise, along with its patented auto-diagnosis capabilities, eliminates disagreements and blame between IT infrastructure departments. This is Unified Monitoring.

eG Enterprise Unified Monitoring

Figure 2 – Unified Monitoring

  • Baselines are set automatically, and deviations trigger alerts so that administrators are informed pre-emptively before problems escalate and impact user experience
  • Built-in correlation rules and intelligent alerts ensure that IT teams are proactively alerted to performance issues, configuration changes, and abnormal usage and activity trends
  • Open incidents can be automatically triggered in IT service management tools such as ServiceNow, PagerDuty, and JIRA, to ensure timely action

When all performance information is at hand at all times, and to all appropriate stakeholders, to most people that is “unified monitoring.” But a critical element of unified monitoring is auto-diagnosis because without it, there is not only more time and effort required to sort out the truth, but there is also more potential for debate and disagreement as information is interpreted by different people.

Unified monitoring is most effective when there’s a single source of actionable truth. It’s what moves us away from diagnosis-related activities, and toward collaborating on how to establish self-healing properties when that diagnosis is identified. This is not only more cost-effective, I suggest it’s a more “unifying” activity than troubleshooting.

So when you’re looking at a unified monitoring solution, ask yourself to what degree it can automatically diagnose performance issues and exactly who does this work, you or the tool?

Continuing the Journey

The convergence of application and infrastructure monitoring is a natural evolution for eG Innovations, and continues our leadership in universal/unified monitoring.

From our initial introduction of universal monitoring 15 years ago, to the industry’s first virtualization-aware auto-diagnosis capability, and now to code-level correlation, eG Enterprise’s converged application and infrastructure monitoring is taking these concepts to new heights.

Learn more about unified monitoring with eG Enterprise »

The post Universal vs Unified Monitoring: What’s the Difference? appeared first on eG Innovations.

Read the original blog entry...

More Stories By John Worthington

John Worthington is the Director of Product Marketing for eG Innovations, a global provider of unified performance monitoring and root-cause diagnosis solutions for virtual, physical and cloud IT infrastructures. He is an IT veteran with more than 30 years of executive experience in delivering positive user experiences through innovative practices in information technology such as ITSM and ITIL.

As CEO and Principal of MyServiceMonitor, LLC, he assisted clients in effectively adapting service lifecycle processes by leveraging eG Enterprise. He then went on to assignments with ThirdSky and VMware, utilizing industry certifications including ITIL Expert and DevOps.

John has more than a decade of experience helping customers transform IT operations to IT-as-a-Service operating models. He participates in industry forums, client and analyst briefings and provides thought leadership to eG Innovations, customers and partners.

Latest Stories
In his session at 23rd International CloudEXPO, Raju Shreewastava, founder of Big Data Trunk, will provide a fun and simple way to introduce Machine Leaning to anyone and everyone. Together we will solve a machine learning problem and find an easy way to be able to do machine learning without even coding. Raju Shreewastava is the founder of Big Data Trunk (www.BigDataTrunk.com), a Big Data Training and consulting firm with offices in the United States. He previously led the data warehouse/busine...
CloudEXPO has been the M&A capital for Cloud companies for more than a decade with memorable acquisition news stories which came out of CloudEXPO expo floor. DevOpsSUMMIT New York faculty member Greg Bledsoe shared his views on IBM's Red Hat acquisition live from NASDAQ floor. Acquisition news was announced during CloudEXPO New York which took place November 12-13, 2019 in New York City. Our Silicon Valley 2019 schedule will showcase 200 keynotes, sessions, general sessions, power panels, and...
ShieldX's CEO and Founder, Ratinder Ahuja, believes that traditional security solutions are not designed to be effective in the cloud. The role of Data Loss Prevention must evolve in order to combat the challenges of changing infrastructure associated with modernized cloud environments. Ratinder will call out the notion that security processes and controls must be equally dynamic and able to adapt for the cloud. Utilizing four key factors of automation, enterprises can remediate issues and impro...
Intel is an American multinational corporation and technology company headquartered in Santa Clara, California, in the Silicon Valley. It is the world's second largest and second highest valued semiconductor chip maker based on revenue after being overtaken by Samsung, and is the inventor of the x86 series of microprocessors, the processors found in most personal computers (PCs). Intel supplies processors for computer system manufacturers such as Apple, Lenovo, HP, and Dell. Intel also manufactu...
When you're operating multiple services in production, building out forensics tools such as monitoring and observability becomes essential. Unfortunately, it is a real challenge balancing priorities between building new features and tools to help pinpoint root causes. Linkerd provides many of the tools you need to tame the chaos of operating microservices in a cloud native world. Because Linkerd is a transparent proxy that runs alongside your application, there are no code changes required. I...
BMC has unmatched experience in IT management, supporting 92 of the Forbes Global 100, and earning recognition as an ITSM Gartner Magic Quadrant Leader for five years running. Our solutions offer speed, agility, and efficiency to tackle business challenges in the areas of service management, automation, operations, and the mainframe.
The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to wait for long development cycles that produce software that is obsolete at launch. DevOps may be disruptive, but it is essential. DevOpsSUMMIT at CloudEXPO expands the DevOps community, enable a wide sharing of knowledge, and educate delegates and technology providers alike.
Darktrace is the world's leading AI company for cyber security. Created by mathematicians from the University of Cambridge, Darktrace's Enterprise Immune System is the first non-consumer application of machine learning to work at scale, across all network types, from physical, virtualized, and cloud, through to IoT and industrial control systems. Installed as a self-configuring cyber defense platform, Darktrace continuously learns what is ‘normal' for all devices and users, updating its understa...
Cloud-Native thinking and Serverless Computing are now the norm in financial services, manufacturing, telco, healthcare, transportation, energy, media, entertainment, retail and other consumer industries, as well as the public sector. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to wait for long development cycles that pro...
As you know, enterprise IT conversation over the past year have often centered upon the open-source Kubernetes container orchestration system. In fact, Kubernetes has emerged as the key technology -- and even primary platform -- of cloud migrations for a wide variety of organizations. Kubernetes is critical to forward-looking enterprises that continue to push their IT infrastructures toward maximum functionality, scalability, and flexibility. As they do so, IT professionals are also embr...
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throug...
OpsRamp is an enterprise IT operation platform provided by US-based OpsRamp, Inc. It provides SaaS services through support for increasingly complex cloud and hybrid computing environments from system operation to service management. The OpsRamp platform is a SaaS-based, multi-tenant solution that enables enterprise IT organizations and cloud service providers like JBS the flexibility and control they need to manage and monitor today's hybrid, multi-cloud infrastructure, applications, and wor...
Apptio fuels digital business transformation. Technology leaders use Apptio's machine learning to analyze and plan their technology spend so they can invest in products that increase the speed of business and deliver innovation. With Apptio, they translate raw costs, utilization, and billing data into business-centric views that help their organization optimize spending, plan strategically, and drive digital strategy that funds growth of the business. Technology leaders can gather instant recomm...
The Master of Science in Artificial Intelligence (MSAI) provides a comprehensive framework of theory and practice in the emerging field of AI. The program delivers the foundational knowledge needed to explore both key contextual areas and complex technical applications of AI systems. Curriculum incorporates elements of data science, robotics, and machine learning-enabling you to pursue a holistic and interdisciplinary course of study while preparing for a position in AI research, operations, ...
After years of investments and acquisitions, CloudBlue was created with the goal of building the world's only hyperscale digital platform with an increasingly infinite ecosystem and proven go-to-market services. The result? An unmatched platform that helps customers streamline cloud operations, save time and money, and revolutionize their businesses overnight. Today, the platform operates in more than 45 countries and powers more than 200 of the world's largest cloud marketplaces, managing mo...