3 Best Tools to Manage Your Kubernetes Cluster!

Kubernetes has become the new norm for container orchestration. But with this, its management brings in profound challenges for enterprises and DevOps teams planning to implement Kubernetes architecture within their organization. Here are 3 tools to manage a Kubernetes cluster. Take a look!

Kubernetes usage appears to be a popular pattern being adopted by enterprises these days. As per the 2021 Cloud-Native SurveyKubernetes, the dominant container orchestration program has reached its highest level ever, with 96% of organizations using or evaluating the technology.

Enterprises going cloud-native consider Kubernetes as one of the important elements contributing to the success of implementing a cloud-first strategy. Kubernetes is a system that helps with the deployment, scaling and management of containerized applications.

If you’re planning to shift your business architecture to Kubernetes, then I’m sure Kubernetes management is the first thing that would come to your mind. So, let’s take a look at some of the popular Kubernetes management tools, here in this blog.

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Alerting Through Azure Logic Apps

As we know alerting is the most crucial part of any infrastructure, and it becomes even more challenging when our infrastructure grows since we cannot monitor everything every time. Every client wants to get notified by their own alerting system before their customer reaches out to them and informs “Hey this service is not working or I am not able to access XYZ service“.

Alerting helps to ensure that the system remains healthy, responsive, and secure. It’s an important part of any system that makes performance, availability, and efficiency high. An operator might need to be notified of the event that triggers the alert.

We can set up alerts in many ways, but in this blog, I will be focussing on setting up alerting through azure logic apps.

Azure provides multiple options to send an alert to the end user, maybe through email, Slack, Pagerduty, SMS, etc. In this blog, I will be explaining the way to send an alert through email, Slack, and Pagerduty.

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Praeco Alerting for ElasticSearch (Part -1)

Praeco is an open-source tool for alerting Elasticsearch. It can build the alert for elasticsearch in an interactive query builder. A preview of the result will be shown in charts. This tool has an easy installation & configuration process which we will learn further in this blog. We can receive alerts on commonly used channels like slack, email, and many more.

This will have two parts- first, we install & configure the Praeco; in the second part, we learn – how to create an alert?

Why do we use this over others?

In terms of open-source tools which are used for alerting in elasticsearch the most popular option is elastalert. In this creating an alert is a very hectic process because one has to write YAML which can be sometimes frustrating for those who don’t know the syntax.

Now we have to search for other options, which leads us to Praeco. This provides an interactive GUI to create the alert condition and hassle-free integration with alert channels.

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Google Python API: The easy way

When life gives you APIs, just automate it. 🙂

As a developer or tech geek, when technology is part of your lifestyle or work, we definitely look forward to exploring all developer things. APIs & libraries are one of the important things we generally look for.

Why is it so? Because, when we use that specific technology on a daily basis, we definitely want to automate most of the things. For that, we try to explore its functional part just to make our work easy. We can use that functional part [ API/Library ], to make an automation script or application.

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When not to think of Canary Deployment?

Read here to know more about the ideal scenarios when enterprises and DevOps teams should not consider Canary Deployment for their product release.

Canary deployments support the incremental release of the software components, it allows features to be updated/rolled out in phases. It is a technique to reduce the risk of bringing in an update in production by slowly rolling out the changes to a small subset of users before allowing users to access it.

Here, in this blog, we’ve discussed the various scenarios when teams should not consider implementing Canary release deployment. But, before we dive into this, let’s discuss what all does the DevOps teams require for executing a Canary deployment strategy.

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