How do you resolve auto-scaling issues in Kubernetes or AWS

0 votes
How do you resolve auto-scaling issues in Kubernetes or AWS?

Sometimes auto-scaling may not be predictable, particularly with fluctuating workloads. Outline how you would diagnose and rectify the issue based on an analysis of the metrics and changing the scaling policies with the help of Kubernetes Horizontal Pod Autoscaler or AWS Auto Scaling Groups. Focus on tools like Prometheus and Grafana in monitoring and fine-tuning thresholds to prevent performance degradation.
Nov 3 in DevOps Tools by Anila
• 2,890 points
36 views

1 answer to this question.

0 votes

Kubernetes Auto-Scaling: To resolve auto-scaling issues in Kubernetes, I rely on the Horizontal Pod Autoscaler (HPA) to manage scaling based on CPU or memory usage, while also considering custom metrics using the Kubernetes Metrics Server and Prometheus. Most of the issues, however arise due to suboptimal metric thresholds, and therefore, I fine-tune these along with relevant application metrics such as the rate of requests to ensure efficient scaling responsiveness. For node level scaling, Cluster Autoscaler adds or removes nodes for the required workload thus always optimizing the resource usage in a manner that doesn't over- or under-scale.
I do make use of AWS Auto-Scaling on AWS by configuring my auto scaling groups using CloudWatch alarms for custom metrics, say request latency or queue depth. Using auto scaling and Elastic Load Balancing in combination, the load balancer will redistribute the traffic amongst all healthy instances. I usually change the cool down period to increase the response time, ensuring that the actions of ASG are in line with the current traffic level and do not cause any unnecessary scaling cycles. I analyze historical load patterns to set proper thresholds in both AWS and Kubernetes. Fine-tuning scaling policies matches demand in both the above-mentioned environments.


 

answered Nov 3 by Gagana
• 1,880 points

Related Questions In DevOps Tools

0 votes
0 answers

How do you resolve auto-scaling issues in Kubernetes or AWS?

How do you resolve auto-scaling issues in ...READ MORE

Nov 3 in DevOps Tools by Anila
• 2,890 points
32 views
0 votes
0 answers

How do you handle network latency issues in cloud-based infrastructure?

This question requires knowledge of strategies used ...READ MORE

Oct 28 in DevOps Tools by Anila
• 2,890 points
51 views
0 votes
1 answer

How do you troubleshoot integration issues between different DevOps tools in your pipeline (e.g., Git, Jenkins, Docker)?

Step-by-Step Debugging: Troubleshooting often starts with identifying ...READ MORE

answered Nov 3 in DevOps Tools by Gagana
• 1,880 points
34 views
0 votes
0 answers

How would you securely manage secrets in Terraform? Any examples with Vault or AWS Secrets?

How would you securely manage secrets in ...READ MORE

2 days ago in DevOps Tools by Anila
• 2,890 points
20 views
+5 votes
7 answers

Docker swarm vs kubernetes

Swarm is easy handling while kn8 is ...READ MORE

answered Aug 27, 2018 in Docker by Mahesh Ajmeria
3,908 views
+15 votes
2 answers

Git management technique when there are multiple customers and need multiple customization?

Consider this - In 'extended' Git-Flow, (Git-Multi-Flow, ...READ MORE

answered Mar 27, 2018 in DevOps & Agile by DragonLord999
• 8,450 points
4,020 views
0 votes
1 answer

How do you ensure high availability in your applications, and what coding techniques or tools have you implemented

Ensuring high availability in applications has multifaceted ...READ MORE

answered Oct 14 in DevOps Tools by Gagana
• 1,880 points
209 views
webinar REGISTER FOR FREE WEBINAR X
REGISTER NOW
webinar_success Thank you for registering Join Edureka Meetup community for 100+ Free Webinars each month JOIN MEETUP GROUP