The challenges of Prometheus scaling and monitoring
Monitoring and scaling There are quite some problems with Prometheus, a popular open-source monitoring and alerting arsenal. What follows highlights some of the major issues along with potential solutions for each:
- High Cardinality Metrics
- Challenge: Prometheus can grow slow and consume a lot of memory if there have too many different metric labels.
- Solution: Avoid using too many labels or various versions of it. Use caution while giving labels, and remove the ones that don’t seem necessary. If required, split data between multiple Prometheus instances.
- Storage Limits
- Challenge: Massive amounts of long-term data aren’t suitable for Prometheus’ built-in storage.
- Solution: For long-term, scalable storage, use external systems like VictoriaMetrics, Cortex, or Thanos. Better data the preservation and scaling beyond what Prometheus naturally provides can be made feasible by these platforms.
- Slow Queries and High Resource Usage
- Challenge: Searches could grow slow in large datasets, and Prometheus can use a lot of CPU and memory, especially if there are many targets or regular scrapes.
- Solution: To enhance the response times, optimize your queries while taking advantage of caching methods. To balance resource use and performance, adjust the timeouts and scrape intervals. For optimum velocity, use a lot Prometheus servers to distribute the load and consider using an external query engine like Thanos Querier.
Kubernetes Prometheus
With modern DevOps becoming more and more complex, monitoring and alerting stakeholders has become even more crucial for any microservice, and Prometheus is a tool to do the same. Prometheus is a completely open-sourced tool created to monitor highly dynamic container environments like Kubernetes, Docker Swarm, etc. However, it can also be used in a traditional non-container infrastructure where you have just bare servers with applications deployed directly on them. In this article, we will learn what prometheus is. We will see why Prometheus is so important in such infrastructure. And what are some of its use cases?
Table of Content
- What is Prometheus Monitoring?
- Why use Prometheus for Kubernetes monitoring?
- Prometheus Architecture
- Key Terminologies
- Tutorial – Deploying Prometheus Monitoring in Kubernetes Cluster
- Step 1: Creating a Kubernetes Cluster
- Step 2: Installing Helm
- Step 3: Adding the Prometheus repository
- Step 4: Installing Prometheus
- Step 5: Checking all the resources installed
- Step 6: Expose the “prometheus-server” Service
- Advantages of Prometheus
- How Prometheus compares to other Kubernetes monitoring tools
- The challenges of Prometheus scaling and monitoring
- Increased management overhead for SREs and platform teams
- Prometheus Kubernetes Service Discovery
- Conclusion
- Kubernetes Prometheus – FAQ’s