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The Necessary Shift from Monitoring to True Network Clarity: How Does Observability Help?

Sandhya Saravanan
ManageEngine

Ever struggled to pinpoint the root cause of a network slowdown? Frustrated by alerts that only notify you when something is broken, without explaining why? You're not alone. Traditional network monitoring, while valuable, often falls short in providing the context needed to truly understand network behavior. This is where observability shines. In this blog, we'll compare and contrast traditional network monitoring and observability — highlighting the benefits of this evolving approach.

Traditional monitoring

Imagine your network is a busy highway: For monitoring, it has a few security check points and traffic cameras. This arrangement will tell you how many vehicles are on the road, and if there's any pileup on the highway or if any major network traffic congestion is noticed, an alarm goes off highlighting the issue. From this alarm, you know that something's wrong on the highway, but you have no way of knowing what it is. It could be anything from a simple traffic jam to a major accident. Figuring out the exact cause of the alarm and the resulting traffic slowdown with the help of cameras can be time-consuming.

Traditional network monitoring will tell you what's happening and nothing more.

Observability

Now, imagine instead of just a few traffic cameras, you have a comprehensive system monitoring the entire city. This system doesn't just count cars at intersections; it tracks individual vehicles, their routes, and even the weather conditions. This system is also aware of the road closures, construction, and events happening throughout the city. This is observability. It utilizes data to comprehend the reasons behind traffic patterns. In the event of congestion, the system can swiftly identify the root cause, such as a stalled vehicle on the side of a road before the congestion escalates. Observability can anticipate potential issues by detecting unusual trends, like a sudden surge in traffic in a specific location. Therefore, instead of simply reacting to a traffic jam, you can proactively tackle the underlying issues and ensure a smooth traffic flow.

Observability gives you the full picture and helps you understand why things are happening, not just what is happening.

Similarity between monitoring and observability

The only similarity between traditional monitoring and observability remains a shared goal: to gain insights into the health, performance, and behavior of a system. Both approaches are fundamentally data-driven, relying on the collection and analysis of stats like metrics, logs, and traces to understand what's happening within the system. Ultimately, the insights gained from both methods help with proactive issue detection, troubleshooting, resource allocation decisions, and more, even though the methods of investigation differ.

The bottom line is traditional monitoring focuses only on specific areas while observability involves a more comprehensive approach.

This table can best explain the difference between traditional monitoring and observability and where the former falls short:

Image
ManageEngine

 

The crucial role of observability in IT infrastructure

The evolution in IT management and observability is a response to the increasing complexity of modern networks, where traditional tools often don't have what it takes. Embracing observability gives IT admins a more comprehensive understanding of their network, leading to improved performance, faster troubleshooting, and a better user experience.

Here are some of the perks that comes with incorporating observability to improve business operations:

  • Proactive issue detection and improved user experience
  • Dynamic adaptation in cloud-native environments
  • Adopting modern application architectures
  • Log-based threat detection

Proactive issue detection and improved user experience

  • With observability, you can identify issues in real-time and quicken issue remediation.
  • A fully observable network is crucial for ensuring services operate as expected and maintaining critical SLAs.
  • Develop and implement comprehensive observability strategies for highly resilient applications, incorporating end-user application performance monitoring with the appropriate tools to guarantee customer satisfaction.

Dynamic adaptation in cloud-native environments

  • Due to the dynamic and distributed nature of cloud-native microservice environments, observability is the only way to achieve comprehensive visibility, enabling analysis of how, when, and where problems occur.
  • Observability facilitates resource mapping within IT architectures, enabling interconnected functionality and streamlining automated application deployments.
  • Use root cause analysis to pinpoint the location and cause of failures in a distributed application and implement the necessary fixes.

Adopting modern application architectures

  • Observability helps simplify application quality control during modernization and legacy transformation.
  • Benchmark performance, analyze behavior, and manage application-level configurations.
  • Achieve comprehensive visibility into application performance and availability, enabling efficient detection, troubleshooting, and root cause analysis of application issues.

Log-based threat detection:

  • Utilize threat detection techniques to anticipate and address potential application performance interruptions, including pinpointing the root cause of errors.
  • Use observability for continuous feedback via logs and reports, and leverage ML to predict potential issues.

Observability's true power lies in its ability to predict issues, understand the impact of changes, and provide solutions.

ManageEngine OpManager Plus comes with a pragmatic approach to observability, utilizing the power of AI and ML. By utilizing the data acquired from different network management tools, OpManager Plus offers a comprehensive observability solution. OpManager Plus delivers a comprehensive platform for system and application observability with built-in capabilities for network monitoring, bandwidth and configuration management, firewall analysis, and application performance tracking. Do you want to know how well this observability solution can work for you? Try OpManager Plus today! Leverage our 30-day free trial or book a personalized demo with our product experts to experience the power of OpManager Plus firsthand.

Sandhya Saravanan is a Product Marketer at ManageEngine

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The Necessary Shift from Monitoring to True Network Clarity: How Does Observability Help?

Sandhya Saravanan
ManageEngine

Ever struggled to pinpoint the root cause of a network slowdown? Frustrated by alerts that only notify you when something is broken, without explaining why? You're not alone. Traditional network monitoring, while valuable, often falls short in providing the context needed to truly understand network behavior. This is where observability shines. In this blog, we'll compare and contrast traditional network monitoring and observability — highlighting the benefits of this evolving approach.

Traditional monitoring

Imagine your network is a busy highway: For monitoring, it has a few security check points and traffic cameras. This arrangement will tell you how many vehicles are on the road, and if there's any pileup on the highway or if any major network traffic congestion is noticed, an alarm goes off highlighting the issue. From this alarm, you know that something's wrong on the highway, but you have no way of knowing what it is. It could be anything from a simple traffic jam to a major accident. Figuring out the exact cause of the alarm and the resulting traffic slowdown with the help of cameras can be time-consuming.

Traditional network monitoring will tell you what's happening and nothing more.

Observability

Now, imagine instead of just a few traffic cameras, you have a comprehensive system monitoring the entire city. This system doesn't just count cars at intersections; it tracks individual vehicles, their routes, and even the weather conditions. This system is also aware of the road closures, construction, and events happening throughout the city. This is observability. It utilizes data to comprehend the reasons behind traffic patterns. In the event of congestion, the system can swiftly identify the root cause, such as a stalled vehicle on the side of a road before the congestion escalates. Observability can anticipate potential issues by detecting unusual trends, like a sudden surge in traffic in a specific location. Therefore, instead of simply reacting to a traffic jam, you can proactively tackle the underlying issues and ensure a smooth traffic flow.

Observability gives you the full picture and helps you understand why things are happening, not just what is happening.

Similarity between monitoring and observability

The only similarity between traditional monitoring and observability remains a shared goal: to gain insights into the health, performance, and behavior of a system. Both approaches are fundamentally data-driven, relying on the collection and analysis of stats like metrics, logs, and traces to understand what's happening within the system. Ultimately, the insights gained from both methods help with proactive issue detection, troubleshooting, resource allocation decisions, and more, even though the methods of investigation differ.

The bottom line is traditional monitoring focuses only on specific areas while observability involves a more comprehensive approach.

This table can best explain the difference between traditional monitoring and observability and where the former falls short:

Image
ManageEngine

 

The crucial role of observability in IT infrastructure

The evolution in IT management and observability is a response to the increasing complexity of modern networks, where traditional tools often don't have what it takes. Embracing observability gives IT admins a more comprehensive understanding of their network, leading to improved performance, faster troubleshooting, and a better user experience.

Here are some of the perks that comes with incorporating observability to improve business operations:

  • Proactive issue detection and improved user experience
  • Dynamic adaptation in cloud-native environments
  • Adopting modern application architectures
  • Log-based threat detection

Proactive issue detection and improved user experience

  • With observability, you can identify issues in real-time and quicken issue remediation.
  • A fully observable network is crucial for ensuring services operate as expected and maintaining critical SLAs.
  • Develop and implement comprehensive observability strategies for highly resilient applications, incorporating end-user application performance monitoring with the appropriate tools to guarantee customer satisfaction.

Dynamic adaptation in cloud-native environments

  • Due to the dynamic and distributed nature of cloud-native microservice environments, observability is the only way to achieve comprehensive visibility, enabling analysis of how, when, and where problems occur.
  • Observability facilitates resource mapping within IT architectures, enabling interconnected functionality and streamlining automated application deployments.
  • Use root cause analysis to pinpoint the location and cause of failures in a distributed application and implement the necessary fixes.

Adopting modern application architectures

  • Observability helps simplify application quality control during modernization and legacy transformation.
  • Benchmark performance, analyze behavior, and manage application-level configurations.
  • Achieve comprehensive visibility into application performance and availability, enabling efficient detection, troubleshooting, and root cause analysis of application issues.

Log-based threat detection:

  • Utilize threat detection techniques to anticipate and address potential application performance interruptions, including pinpointing the root cause of errors.
  • Use observability for continuous feedback via logs and reports, and leverage ML to predict potential issues.

Observability's true power lies in its ability to predict issues, understand the impact of changes, and provide solutions.

ManageEngine OpManager Plus comes with a pragmatic approach to observability, utilizing the power of AI and ML. By utilizing the data acquired from different network management tools, OpManager Plus offers a comprehensive observability solution. OpManager Plus delivers a comprehensive platform for system and application observability with built-in capabilities for network monitoring, bandwidth and configuration management, firewall analysis, and application performance tracking. Do you want to know how well this observability solution can work for you? Try OpManager Plus today! Leverage our 30-day free trial or book a personalized demo with our product experts to experience the power of OpManager Plus firsthand.

Sandhya Saravanan is a Product Marketer at ManageEngine

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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...