Shulou(Shulou.com)06/03 Report--

Kubernetes (K8S) now seems to be the de facto standard for managing and deploying micro-service and container-based applications-- and it's not hard to understand why. Kubernetes is the largest open source community, supported by the Cloud Native Computing Foundation (CNCF), is DevOps-friendly, and provides the advantages of a hybrid cloud. Is there any reason not to love it?

But in a recent survey by TheNewStack, 69 per cent of respondents said it was true that Kubernetes was their first choice for corporate container choreography, but deploying and managing Kubernetes was not as easy and comfortable as a walk in the park. Despite the high flexibility of Kubernetes, there are still complexities in operating workflows-many of which involve application performance management (APM), and a lot of effective management is needed if you really want to fully appreciate the benefits promised by Kubernetes.

Rethink your Kubernetes monitoring strategy

In a recent CNCF survey, 38 per cent of respondents said monitoring was one of the biggest challenges in their companies' adoption of Kubernetes. If respondents are divided into companies with larger deployments, this number has even grown to 46%.

The main problems of current Kubernetes monitoring methods range from lack of end-to-end visibility to error-prone migration. Below we'll talk about four common challenges you might encounter when monitoring Kubernetes-and suggestions on how to address them.

Challenge 1: lack of end-to-end visibility one of the most common problems with traditional Kubernetes monitoring is the lack of end-to-end visibility into customer touchpoints and distributed applications.

As a result, the IT team has no idea or perception of how the end-user experience and application performance affect business KPI, and therefore has no idea what to fix or improve.

To solve this problem, it is important to use a Kubernetes monitoring solution based on normal performance, and you can take advantage of the power of machine learning to intelligently alert the IT team when something goes wrong.

Challenge 2: warning Storm

While it may seem like a good thing to understand the problems of all applications, when multiple problems occur at the same time, it can quickly get out of control and become an obstacle. After all, do you really want to be reminded every time a job is done or a new container starts?

Without the ability to prioritize alerts, IT teams often have to respond and categorize the root causes of each problem, which can lead to a very poor user experience and even cost loss.

Therefore, when using Kubernetes monitoring solutions, it is best to identify and resolve the exact potential problems-- down to lines of code, individual devices, Kubernetes services, and even a single container level.

Challenge 3: the cost of troubleshooting painful application downtime can be staggering-critical application failures can cost as much as $1 million per hour. Time is money, and the IT team should not waste time in detecting the root cause of the problem.

The problem is that many of today's monitoring tools lack the ability to perform automated root cause analysis in a Kubernetes environment, making troubleshooting a time-consuming nightmare, often resulting in high MTTR and long downtime.

To avoid this, ensure that your Kubernetes monitoring solution has higher visibility in both application dependencies and migration success verification by comparing user experiences before and after migration.

Challenge 4: an error-prone migration process

Migrating traditional applications to Kubernetes is error-prone and time-consuming. Companies that migrate existing monolithic applications to microservices deployed on Kubernetes are more likely to lack visibility into the Kubernetes environment and therefore cannot see the real-time interaction of each microservice or traditional application.

At this point, consider using a solution that provides one-step installation and unified monitoring through a single management platform, so that the IT team can make full use of its existing skills, processes, and tools.

Provide perfect application performance on Kubernetes

More and more companies are using Kubernetes to change the way companies deploy and run applications in distributed, multi-cloud environments, and the popularity of Kubernetes shows no sign of slowing down. But for organizations running traditional or micro-service-based applications on Kubernetes, the monitoring challenge remains obvious.

Therefore, organizations must seriously consider all aspects of Kubernetes monitoring methods to simplify complex enterprise workflows, improve cost efficiency, and improve productivity. With unified end-to-end visibility into the entire Kubernetes stack and Kubernetes orchestration applications, IT teams can provide the perfect application experience-and ensure that their Kubernetes investments lead to better business results.

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