INVITED RESEARCH Technologists across industries have recognized the urgent need to leverage their current application monitoring tools and techniques to deal with the heightened levels of complexity they now face in every corner of their IT estate. They are looking to bring together disconnected tools to gain a unified view of IT performance and availability and implement new solutions that give them complete visibility into cloud-native environments.
That’s why, according to the latest AppDynamics report, The journey to observability, implementing complete observability solutions is now a priority for 90% of organizations worldwide.
Comprehensive observability provides technologists with real-time, unified visibility into availability and performance across the entire IT stack for compute, storage, network, and public Internet—from the client-facing application to deep in the backend. -end. It enables IT operations teams to quickly and easily identify anomalies, understand dependencies, and fix problems before they impact the end user. And when this IT performance and availability data is connected to business outcomes, technologists can assess issues based on their potential business impact and prioritize their actions accordingly.
The research found that more than half of organizations (54%) began the journey to full observability in 2021, and another 36% plan to do so in the next 12 months. That means a remarkable 90% of organizations will be somewhere along the path to full observability by 2022.
A growing focus on microservices, containers, and serverless environments
Interestingly, technologists are looking to drive greater visibility into IT performance across the entire IT stack. The most important area of focus (albeit only marginally) during 2021 was compute and storage infrastructure, with 55% of technologists prioritizing this element of the IT stack. Nearby was the network infrastructure (network, cloud, or WAN).
In fact, in general, organizations have tended to focus their efforts a little more on greater observability around IT infrastructure, as opposed to customer-facing, internal operational applications. This is likely due to the fact that many organizations already have solutions in place for application monitoring, but many have struggled to understand dependencies and identify root causes of performance issues further down the IT stack.
Gaining greater visibility into internal operational applications and customer-facing applications was a priority for just under half (49% and 48% respectively) of organizations last year.
Perhaps most interesting, however, was the fact that more than a third (37%) of organizations have prioritized efforts to build greater visibility into IT performance within microservices, containers, and serverless environments over the past 12 months. . The research really highlights the growing prominence of these new cloud-native environments and the rise of Kubernetes for microservice orchestration.
Cloud environments have come to the forefront from a monitoring perspective, and many organizations are rapidly introducing cloud services to improve scale and user experience. As a result, IT departments now have a real challenge keeping on top of monitoring in this highly dynamic environment. Traditional monitoring solutions struggle to provide visibility in these environments and technologists are well aware of the need to address this observability gap.
Therefore, microservices, container, and serverless environments are very likely to be a big driver for full observability in 2022 and well beyond.
Holistic observability strategy is critical to success
While every IT department has its own unique strengths and weaknesses when it comes to how it monitors and manages technology performance, it’s important to take a holistic approach to achieving full-stack observability goals. It’s encouraging that technologists recognize that they can’t afford to neglect any area of IT health, with 98% saying it’s important to connect visibility across all areas of the IT stack.
Obviously, technologists no longer want single-point solutions for monitoring, but rather tools that can integrate and share valuable information across platforms. For example, applications have many dependencies on many domains of the network, the cloud infrastructure, and the application itself. If technologists only look at one area, their knowledge is limited and the user experience can be diminished.
All IT departments should seek to conduct an audit of their current monitoring and observability capabilities to identify monitoring silos and weaknesses, and to ensure that their tools keep up with the latest advances in technology. A thorough review of current tools will be able to identify which ones still provide value and which ones can be discarded.
Fortunately, technologists understand that it will take time to build out your current monitoring setup to build genuine visibility into your entire IT estate. Transitioning to full-stack observability is a complex, multi-stage journey that requires sustained effort and dedication. Ultimately, technologists will want to incorporate an end-to-end solution that includes application monitoring, security, workload optimization, and financial cloud cost optimization. But this cannot be achieved overnight.
Over the next year, technologists will be looking to pull together more of their existing monitoring solutions and add new solutions to drive greater visibility across IT environments. 85% say 2022 will be a pivotal year for their organization on the path to full observability.
Of course, technologists will look to prioritize specific areas of the IT stack based on the immediate use cases they need to solve and where their current monitoring capabilities fall short.
But with many organizations now running in a hybrid state where applications span across on-premises data centers and multi-cloud environments, technologists will need to take a holistic approach to quickly isolate problems, no matter where they lie. This will be achieved by implementing a full-stack observability strategy that leverages AI-driven insights and machine learning to help reduce noise and resolve issues quickly.
By taking this kind of strategic and holistic approach, technologists can ensure that they are always moving toward their ultimate vision of full observability.