4 Challenges Of Kubernetes Log Processing

Editorial Note: This is a guest post by Ashley Lipman from TheBlogFrog, a platform to find Internet’s best blogs across various industries.

Kubernetes is an open-source project by Google that’s been around since 2014. It’s a portable, open-source platform built for managing containerized workloads and services. It was created with automation in mind, and it’s also known for its extensive support tools.

Since it’s an introduction, Kubernetes has become one of the most popular ways to create a scalable platform. Development projects today need to be created with tomorrow in mind. What’s normal today will likely be obsolete in as soon as a few months, so we need new ways to keep moving forward.

Because kubernetes is container-centric, it’s flexible and easy to build complex stacks. However, one of the main prospects of container technology is running these containers on a serverless infrastructure or cloud infrastructure. When Kubernetes is serverless, log collection becomes more complex.

The logs on a single node will increase because there’s a larger number of pods running on a node with the potential for a metric collection requirement. Similarly, various pod types running on a single node become diversified which calls for management of diversified logs. Let’s talk further about the most common trends and challenges of kubernetes log processing.

4 Challenges of Kubernetes Log Processing

Image via Pexels

1. Namespace Logging

When workloads run in shared worker VMs, those from different projects are divided by namespaces. Because different projects might have their own unique logging preferences, there needs to be a new way to configure these without compromising on security.

One option is to use Kubernetes CRD (Custom Resource Definition). This is done using thekubectl command which you can find outlined in the kubectl cheatsheet. Then, role-based access control (RBAC) can be applied to this resource to protect security measures. You might also be familiar with this process in PKS as a sink resource, though this name is still catching on in the world of Kubernetes.

2. Support Logging Service Level Agreement (SLA)

There’s only one pod per Kubernetes worker node, and if this pod is rescheduled, it has an effect on all of the other Pods in the worker node. This presents a challenge. Each node can run up to 100 pods, so you need to find a way to make sure your log agency can collect logs from all of these pods.

This frequently creates a noisy environment. One error might lead to more errors in the same worker node. This is why it’s essential for you to have a fast disk and to work on back-pressure issues diligently to avoid unwanted problems.

4 Challenges of Kubernetes Log Processing

Image via Pexels

3. Layered Logging

We have logs for pods, K8s, and platforms. There are often add-ons for every standard workload logs. Different logs come with different characteristics and their own priorities. There are so many layers to this container system that it’s hard to handle all of them when they’re logged together.

Unfortunately, there’s still no clear solution for handling these different layers. These different characteristics are still compounding, and we still need a security solution that addresses the root cause.

4. Collecting All Critical Logs

Finally, pods are likely to be deleted or recreated quickly if something is wrong. The log file will likely go as well in this situation. Failing to collect all the critical logs when something goes wrong will slow down your ability to solve the problem. This is a challenge that still needs to be solved by the Kubernetes community as a whole, but that doesn’t mean there aren’t ways around it.

While you might use Heroku logs by Loggly for Heroku, for Kubernetes you can use a log agent like Fluentd. This agent succeeds around this problem because it scans new folders or log patterns at a regular interval (like every 60 seconds) to capture even short-lived pods. You can even lower this to a 1-second interval to create a higher performance.

The Future of Kubernetes

Kubernetes has come a long way, but it also has a long way to go. As you can see from the challenges above, there are some logging issues that still need to be worked out. However, the Kubernetes community is active and utilizing DevOps to come to fast solutions.

Is Kubernetes right for your project? What are your biggest challenges?

Related Reading:

A Quick Guide on How to Deep Dive into Amazon EKS

ECS Vs. EKS Vs. Fargate: The Good, the Bad, the Ugly

The Ultimate Dilemma of Choosing Container Environment on AWS — ECS, EKS or Fargate

Docker Swarm Vs. Kubernetes — What You Really Need To Know

4 Challenges Of Kubernetes Log Processing

Smart Scheduling at your fingertips

Go from simple to smart, real-time AWS resource scheduling to save cost and increase team productivity.

Learn More
More Posts

You Might Also Like

Cloud Computing
20 Cloud Influencers You Should Be Following in 2020
It’s important to follow the right individuals so that you remain on the loop and always find yourself learning things that you were unaware of. These thought leaders and influencers can only be the avenues by which you meet other interesting technologists.
September 23, 2020
Hrishikesh
Cloud Computing
Everything You Need To Know About Kubernetes Scheduler
When creating a Kubernetes cluster, scheduling the pod to an available node is an important component of the process. This component works under specific rules and technicalities that I’d like to explore in this article...
September 23, 2020
Hrishikesh
Cloud Automation
New In: No-code cloud management workflows for Azure, VMware & Private Cloud (in addition to AWS)
At TotalCloud, we’ve been enabling workflow-based cloud management for AWS to make it intuitive, accelerated, and no-code. Instead of programming cloud management use cases or depending on siloed solutions, we built out a platform that gives you building blocks to assemble any cloud management solution. 
September 4, 2020
Sayonee
Cloud Computing
List of Essential Kubernetes Tools
Kubernetes is a Container-as-a-Service with tons of unique tools to choose from. External tools play a role in integrating with different systems or maintaining control over the clusters you deploy. Manual health checks and troubleshooting is not ideal to keep a system in full health.This list of tools will provide ample support to your containers and have enough configuration to leave management flexible...
August 12, 2020
Hrishikesh
AWS Use Case Files
TotalCloud Inventory Actions: Giving a new meaning to Cloud Inventory
Learn how the TotalCloud Inventory Dashboard can become equivalent to your cloud provider’s SDK. Carry out any action on any discovered resource with Inventory Actions.
July 30, 2020
Sayonee
AWS Tips & Tricks
AWS Tutorial: Create an AWS Instance Scheduler with Terraform
Terraform is a popular IaaS tool used by many to create, update, and maintain their AWS architecture. If you use Terraform to provision your AWS architecture, you won’t be disappointed with our new AWS tutorial video.We provide you with the means to set up your own instance scheduler from Terraform...
July 20, 2020
Hrishikesh