Observability 2025: From Theory to Real Control

19.2.2025

Observability 2025: From Theory to Real Control

Why Observability is more than just a buzzword

IT projects are constantly changing. New epics, stories, and requirements necessitate continuous adjustments – but how do you keep track of everything?

Every change to a system brings potential risks. While pre-go-live testing ensures that everything works as planned, the real challenge only becomes apparent during operation: How do you identify problems before they affect users or business processes?

The challenge: Why observability is crucial after go-live

New features and optimizations are intended to stabilize IT systems. Every planned change is tested – whether functional (e.g., correct process flows) or non-functional (e.g., performance and security). But what happens after the go-live?

When an error occurs, it's often not immediately clear whether the underlying scenario has already been tested. The real challenge lies in continuously monitoring new requirements during operation and detecting disruptions early. This is precisely where observability comes in – as the key to a stable IT landscape.

Observability ≠ Monitoring: The crucial difference

Many applications, platforms, and infrastructures now have built-in monitoring functions. These usually provide snapshots of status and availability. However, monitoring is not the same as observability.

  • Monitoring records key figures such as CPU utilization, error rates or response times, but often does not reveal direct causes or consequences.
  • Observability goes a step further: It provides comprehensive insights into causes, dependencies, and potential impacts. This enables automated notifications or countermeasures to be triggered, allowing for faster resolution of disruptions and prevention of future problems.

Observability with Infometis: Independent & individual

How can you best leverage observability for your IT system?
At Infometis, we combine in-depth technological expertise with independent consulting. Thanks to our partnerships with leading providers, you gain access to state-of-the-art observability and monitoring tools – objective and tailored to your individual requirements.

Your success is our focus

Let's work together to future-proof your systems. Contact us for a free consultation – we look forward to supporting you.

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From Light to Ultra

Modern IT landscapes are highly complex. As in any other ICT discipline, there are different levels of maturity in observability. A pure infrastructure service provider has different requirements than a company that primarily develops software.

Nevertheless, these maturity levels can essentially be traced back to two main dimensions:

  • System architecture and the added value for the customer
  • Degree of automation

A sound quality assurance process is essential. Only with a well-thought-out testing strategy can new technologies be effectively integrated into existing systems. Learn how testing complements the value of observability and ensures stable IT systems in the long term in our eBook " Value of Testing".

1. The system architecture

In the age of containers and microservices, many platforms already come with integrated monitoring tools. However, even the best-configured cluster is of little use if the software running on it produces errors or suffers from performance issues.

Different components, shared added value

In a service-oriented architecture, the customer experience often depends on a multitude of distributed software components. Each one must function smoothly to ensure the overall offering remains reliable and performant.

Holistic observability instead of isolated solutions

Observability should not only apply selectively to individual applications or infrastructure components, but should extend across the entire area of ​​responsibility.

  • "Light": Observability for only a single component or layer
  • "Ultra": All relevant layers – from infrastructure to middleware to the application layer – are holistically integrated

2. Automation

Automation in the observability context encompasses more than just collecting metrics. It covers the entire process:

  • Commissioning and configuration
  • Intelligent data linking
  • Continuous monitoring
  • Cause and impact analysis
  • Automated responses (e.g., alerts, scaling, self-healing)

A "light" approach means automating only some of these steps. However, it is crucial that not only data is collected, but also that the monitoring processes are regularly adapted to grow with the IT landscape.

With modern observability tools, you can increase automation maturity to such an extent that your system proactively detects problems and automatically resolves them – the basis for a digital immune system.

Observability with Infometis: Independent & individual

At Infometis, we combine in-depth technological expertise with independent consulting. Through our partnerships with leading providers, we offer state-of-the-art observability and monitoring tools – neutral, objective, and tailored to your needs.

Contact us for a free consultation. We'll guide you on your journey from "Light" to "Ultra"—or to the level of maturity that best suits your business model.

A prerequisite within the organization

In an increasingly complex IT landscape, observability has long since become more than just a technical "nice-to-have." It stems from the fundamental need to identify risks early and strategically leverage opportunities. But how can observability be sustainably embedded within an organization so that it delivers genuine added value?

The needs behind observability

Observability serves not only security but also the identification of optimization potential in your IT system. It's about far more than mere monitoring – it's about the concrete benefits for your business model.

Protection from risks

  • Early problem detection: Use monitoring and alerting mechanisms to quickly identify deviations – before they become business-critical disruptions.
  • Detecting errors before the customer does: Those who uncover and fix problems in the background before anyone notices them increase reliability and trust.
  • Proactive communication: Inform affected stakeholders in a timely manner to minimize damage and ensure transparency.
  • Rapid troubleshooting: With comprehensive insights into the IT landscape, you can quickly identify and resolve the causes.
  • Sustainable prevention: Analyze and learn from incidents to avoid future problems.

Recognize and seize opportunities

  • Managing complexity: Modern IT systems are often distributed. Observability helps to maintain an overview and understand relationships.
  • Maximize added value: Those who know exactly how their applications perform can optimize them in a targeted manner.
  • Minimize costs: Inefficient processes and unnecessary resource use can be identified with a good data basis.
  • Stable user experience: A smoothly functioning application saves service costs and ensures satisfied customers.
  • Targeted investments: Data-driven decisions help to optimize the use of time, budget, and personnel.

The biggest stumbling blocks

Companies earn their money through business processes that are controlled or supported by IT systems. If one IT component fails, the entire value chain suffers.

The most common mistakes:

  • Ping-pong when problems arise: Each department passes the buck to the other.
  • Technical issues: Inefficient workarounds and long bug lists are never fixed.
  • Dissatisfied users: Recurring problems worsen the user experience – and therefore your business.

Best Practices: Thinking about observability holistically

Observability is not purely a technical issue – it requires a holistic view of the entire IT system. Here are some proven approaches:

  • Central responsibility: Put observability in the hands of a team that has the overall picture and can act quickly.
  • System-wide perspective: Define standards and objectives (SLOs, SLIs) for all relevant components.
  • Integration into the development process: Anchor observability early in DevOps/SRE so that monitoring, logging and tracing become part of the CI/CD pipeline.
  • Ongoing training: Raise awareness among all teams – from development to operations – and create space for exchange.

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‍Your success is our top priority

Let's develop a future-proof observability strategy together.

➡ Get in touch now and take advantage of the opportunities of observability for 2025 and beyond!

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The beginning

Leading analysts agree: Between 90 and 100 percent of all business models worldwide depend on a reliable IT infrastructure. However, while digitalization has accelerated, the complexity of modern IT systems has increased enormously.

An overview of the biggest changes:

  • From monoliths to microservices: Modularization creates flexibility, but increases dependencies.
  • Virtualization for container orchestration (e.g., Kubernetes): Automated deployments are standard, but require new monitoring mechanisms.
  • Cloud computing: Agility and scalability are increasing, but governance and security are becoming more complex.
  • Big Data & distributed data traffic: The exponential growth of data makes intelligent analysis indispensable.

The result: More dependencies, integration points and potential sources of error – and a growing attack surface for disruptions and security problems.

The good news: Modern observability solutions are specifically designed to meet these requirements. They enable you to maintain transparency even in complex IT environments and identify problems early on. Those who have only invested sporadically in monitoring and observability can now quickly catch up – and sustainably stabilize their systems.

Chicken or egg? Where to start with observability

For many companies, it seems logical to start where the pain is greatest – for example, after a major incident. But this carries risks:

  • Reactive strategy: If observability is only used where problems are currently occurring, you will overlook similar vulnerabilities elsewhere.
  • One-sided view: If only one source of error is monitored, other potential risks remain hidden.
  • Waste of resources: Short-term workarounds are expensive, while a holistic strategy saves costs in the long run.

An example:

A major incident is resolved, the cause is monitored – but a short time later, similar problems appear elsewhere, comparable to new “rust spots” on an old car.

Instead of solely reacting to current incidents, you should build observability strategically:

1️⃣ Identify the biggest risks in your IT landscape.
2️⃣ Analyze interactions between components.
3️⃣ Implement observability gradually – starting with the most critical processes.

This holistic approach ensures that you not only solve yesterday's problem, but also avoid long-term failures and inefficiencies.

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Business Observability: The bridge between IT and value creation

Modern companies operate through processes that run either sequentially or in parallel. Each of these process steps depends on the reliability of the IT systems.

But this is often where the problem lies: the interface between technology and business processes often remains invisible. This is precisely where business observability comes in.

Application Cockpits – A limited view

Many software manufacturers are trying to close this gap – mostly via dashboards that aggregate and visualize process steps.

The problem:

  • Limited transparency: Often only part of the value chain is visible.
  • High in-house development costs: Individual solutions are expensive and require a lot of maintenance.

The future: Simple & effective with business observability

Modern observability tools go beyond classic dashboards: they combine technical monitoring with a business perspective.

Key factors:

  • Automatic integration: Log files, HTTP traffic and REST APIs flow directly into the business analysis.
  • Defined business events: Relevant technical events are linked to business processes.
  • Continuous monitoring: Ongoing analysis of dependencies and effects.
  • System-independent analysis: Transparency across the entire value chain, regardless of the underlying IT system.

At Infometis, we combine in-depth technological expertise with independent consulting. Thanks to our partnerships with leading providers, we offer you access to state-of-the-art observability tools – objective and tailored to your needs.

Request a free consultation now and integrate Business Observability into your strategy!

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