Kubernetes Best Practice
03/22/2023
Since it emerged on the scene in 2015, Kubernetes has seemed to be the subject of continual discussion in the business world: what it can accomplish, what the future holds for it, how it interfaces with technology X and tool Y, etc. But, it's uncommon to hear specific justifications for why businesses should even consider utilizing Kubernetes.
It is an open-source solution for automating the deployment, scaling, and management of containerized applications, according to Kubernetes itself. Kubernetes should be used as your container orchestration platform for a number of good reasons.
Here are five of Kubernetes' most significant advantages that might persuade you to switch.
The "4 Cs of Cloud Native security" are the four security levels that make up the Cloud Native concept:
Cloud Provider
(K8s) Cluster
Container
Code
Each layer has specific security recommendations and hooks. There are literally thousands of security solutions available at the Cloud Provider level to completely protect the system. To further guarantee that only authorized users have access to cloud resources, the Cluster level has a very detailed Role-Based Access Control (RBAC) function. You can use tools like Seccomp at the container level to restrict a process's ability to make system calls and to set restrictions on object access based on user or group ID. Finally, if you utilize TCP, you can encrypt your traffic at the Code level and limit access to only a few ports.
The obvious advantage of a tier system for security is that it makes it less likely for your environment to be hacked. The capacity to enforce adherence to sector-specific standards like PCI-DSS, HIPAA, and SOC 2 is less clear.
Instead of needing to be a part of the application itself, Kubernetes services like logging and monitoring are exported to the infrastructure. In other words, complexity is assumed by the infrastructure rather than the application.
As a result, programs may be developed in a straightforward and consistent manner that is simple to replicate and quick to install! With this streamlined procedure, developers can concentrate on creating the application rather than all the ancillary tasks they previously had to do (like logging and load balancing). The amount of code required to construct an application is significantly reduced as a result, which has a very favorable impact.
Running a microservice-based application tends to break down your individual components into manageable bits, which makes iterating lot simpler and quicker. In the containerized microservices approach, developers can jump from a few releases per year in the monolithic paradigm to numerous releases per day.
Scaling in the previous monolithic design was quite challenging. After an application was created, running larger VMs to handle more traffic was typically the only choice. To put it simply, the solution to increased traffic volumes was to "throw hardware at it" (below).
Kubernetes presumptively needs scalability in applications. Kubernetes can produce additional copies of an application component if more than one are required. The applications can be scaled utilizing the Horizontal Pod Autoscaler based on CPU use to satisfy traffic volume expectations.
A significant advantage is that the application need not be aware of the quantity or location of application instances. To meet those demands, Kubernetes generates as many copies as necessary. In order to prevent bunching instances on a single node, there are also constraints defining where each application instance should be located (and therefore a single point of failure).
In the past, complex (and frequently specialized) systems were required for monitoring processes and guaranteeing that they were restarted. If many processes or even multiple VMs were involved, it became considerably more complicated.
Yet, Kubernetes is self-healing. Kubernetes will automatically reallocate resources to repair any failed nodes, pods, or containers. The Master nodes and ETCD (the cluster status database), two essential components, anticipate many replications. To guarantee that one representative of each kind is automatically chosen as the master instance, complex protocols are in place.
In the event that one of these elements fails, a new primary is chosen. Similar to this, if any component of our worker note fails or a worker node fails, it will be instantly rebuilt. Without any sort of error recovery procedure, components are never allowed to just stop working.
For auditing and debugging purposes, every application must record a variety of information. A logging subsystem of some kind had to be manually created every single time an application was produced in the past as one of the initial tasks involved in constructing an application. Yikes.
No more, as Kubernetes now comes with logging. K8s' main components all produce logs, which are accessible via the command line. You can get logs from the container's most recent instance as well as earlier ones. Apps do not need any extra logging functionality. Their information will be recorded in the Kubernetes logs if they merely write to standard out (stdout) and standard error (stderr).
If implemented properly, Kubernetes offers a number of significant advantages. We don't want to sugarcoat things, but such significant advantages might not be free. simply how complicated Kubernetes is. Although though Kubernetes is recognized for being widely utilized and much adored, it is also well acknowledged that its complexity can cause enterprises to spin out of control.
We love Kubernetes and consider ourselves early adopters. We have personally encountered these difficulties throughout the protracted process of installing Kubernetes in highly regulated, highly secure workplaces. That's the reason we initially set out to simplify Kubernetes: to make it easier for businesses to utilize the benefits of cloud computing and Kubernetes without experiencing any difficulties.
If you’re going to get into Kubernetes, know exactly what you’re getting into and how to make it as easy as possible.
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