Obtaining actionable insights from Kubernetes applications through monitoring and analysis
APMQ envisions a future where cloud applications are managed automatically and has developed a unique solution to address the operational and performance issues that arise in this dynamic, orchestrated environment. Traditional monitoring tools are no longer sufficient to handle these challenges.
Know More![](https://assets-global.website-files.com/63ff6c207c7ea681f0ab4e32/64426165135abd416cc5f59c_1.png)
Observability Challenges
![](https://assets-global.website-files.com/63ff6c207c7ea681f0ab4e32/6439993f24096fd46ae52a7f_a1-removebg-preview.png)
Complex Layering and External Dependencies
Cloud environments often have multiple layers of abstraction and external dependencies, such as application middleware, orchestration (K8s), and infrastructure. Additionally, many apps rely on third-party services over which they have no control.
![](https://assets-global.website-files.com/63ff6c207c7ea681f0ab4e32/6439993f42eb9357c6f03484_a2-removebg-preview.png)
Dynamic and Transient Containers and Serverless Computing
Cloud applications are characterized by their highly variable structure due to the transient nature of containers and the use of auto-scaling to handle fluctuating workloads. This dynamic quality of the application creates many blind spots and a need for true real-time visibility.
![](https://assets-global.website-files.com/63ff6c207c7ea681f0ab4e32/6439993fb5efde06d2af1aea_a3-removebg-preview.png)
Scarcity of SRE/DevOps Engineering Expertise
There is a shortage of SRE/DevOps engineering talent due to the increased demand for agile cloud operations. While large web-scale companies often have in-house software engineering skills, smaller enterprises require more user-friendly tools to achieve similar results.