Overcome IT complexity with Full Stack Observability

To surpass the resulting complexity, companies often provide themselves with a large number of monitoring and management devices. Their goal is to simplify system monitoring, but the opposite happens: they see the formation of loops as teams use many different tools to manage their networks or infrastructure.

This fragmented approach accentuates operational blind spots and slows down problem solving. It also further threatens the security of the company. Soon, overworked IT professionals will no longer be able to keep up with the evolution of dynamic applications, or the dynamics of infrastructures, because they are overwhelmed with complexity. However, although this scenario is common, it is inevitable. IT teams can simplify their journey into digital transformation by implementing a cost-effective, integrated, full-stack, end-to-end monitoring service that can overcome complexity and break loopholes. Thus, companies require full stack observation.

Difference Between Observation and Traditional Monitoring

Observation is more than traditional monitoring. Traditional monitoring allows IT teams to understand the current state of their infrastructure and applications. It retrieves and processes large volumes of application infrastructure and telemetry data, as well as notifications, and displays active, inactive and modified components. Typically, this type of tracking targets a specific network, cloud, or infrastructure. It monitors application and infrastructure elements to allow IT professionals to identify anomalies and investigate issues when they arise.

Monitoring uses indicator -focused dashboards to evaluate telemetry data against statistically relevant manual or elementary thresholds. Tracking tools are required, but they do not offer cross-domain interaction, service delivery insight and operational dependencies, or predictability. Modern systems have complex multi-cloud environments and a lot of telemetry data, which limits them.

The observation goes further. It measures the internal state of systems by observing the outputs produced and analyzing applications and systems across them, from the end-user experience to the metrics and logs associated with the server.

However, monitoring is a critical element of observation. Observability requires the initial collection of information through monitoring operations. Observability uses the information and indicators generated by monitoring to understand the source of the problem to be solved.

Monitoring helps aggregate and display data to determine if systems are working as expected. The analysis of this information is compared to the target outcomes and objectives. This allows IT professionals to understand the state of their infrastructure and applications. They then avoid snares by being able to visualize complex environments in their entirety.

Observation in action

Once installed, observability software enables IT teams to continually improve performance, availability, and digital experience within a variety of complex cloud, hybrid, and distributed environments.

Using observability features, organizations can quickly identify and remedy anomalies. However, full-stack observability isn’t just about tracking and speeding up problem solving: it provides insights, automated analytics, and actionable intelligence through cross-domain data correlation, maching learning, and intelligence. artificial intelligence for IT operations (AIOps). It processes massive volumes of historical and real-time data from indicators, logs, and tracking.

Observability is more than the silos and fragmented approach of traditional surveillance. So, because observability is unlimited, when it combines ML and AIOps, it uses large amounts of collected data and provides insights, automated analytics, and actionable intelligence to help IT staff solve problems faster. . It also enables ITOps, DevOps, and security teams to ensure consistent, optimized, and predictable delivery of business services by continuously optimizing the digital experience and productivity of IT.

Customers and employees will have the advantage of using better managed systems. The technology provides companies of all sizes, and specializing in different sectors, complete, integrated and cost-effective functionalities thanks to the flexibility of cloud, on-premises or SaaS (Software as a Service) deployment.

When they begin their digital transformation, companies want to avoid additional complexity, especially when updating legacy applications and adding many modern services and capabilities to their stack. Only observability reduces complexity because it simplifies the change process. This limits the amount of unnecessary operational information to make it easier for ITOps, DevOps, and security teams. This is when organizations can more proactively identify issues and anomalies to optimize IT performance, compliance, and stability. With full stack observability, all businesses, regardless of size and industry, can reduce IT complexity while preparing for digital change.

By Thomas LaRock, Head Geek ™, SolarWinds

Leave a Comment