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2. Robust Network Management
Service mesh sits on top of your Kubernetes architecture, enabling secure and dependable network interactions between services. It allows development teams to engage more in the application logic while lowering the burden of microservice implementations. It also controls the flow of data between services.
The following are the advantages offered by service mesh:
3. Efficient Spike Implementation
Your Pods are automatically assigned to Nodes with sufficient capacity by the Kubernetes scheduler. Occasionally, regardless of its great attempts, the scheduler won’t choose a plan you are happy with. With the help of our KubeOps framework various spike implementation techniques, you can direct the scheduler’s choices such that Pods land on certain Nodes according to your demands.
This way, you can fine-tune the allocation as well as:
- Have additional control over the selection logic.
- If a matching node cannot be found, the scheduler will nevertheless schedule the Pod if you designate a rule as preferred.
- Instead of only using node labels, you can confine a Pod using labels on other Pods that are currently running on the node, allowing you to specify guidelines for which Pods can be allocated on a node.
4. Powerful Package Management
Multiple interconnected Kubernetes resources, including pods, services, deployments, and replicasets, have to be created in order to build a single application. Each of these resources require you to produce a comprehensive package manager. Helm is a Kubernetes package manager that facilitates developers and administrators to organize, set up, and launch applications and services into Kubernetes clusters.
Helm comes with a lot of functionalities such as:
- Launch software
- Deploy software prerequisites automatically
- Update software
- Execute software configurations
- Retrieve software packages from repositories
5. Comprehensive Monitoring & Logging
The monitoring function of Kubernetes aids in the proactive maintenance of clusters, nodes, and pods. By keeping track of all three, our KubeOps framework makes managing containerized infrastructure easier. The three primary types of Kubernetes monitoring are as follows:
Furthermore, there are three crucial indicators to keep an eye on in Kubernetes:
When implemented early in the design process, logging assists in bug diagnosis, provides insight into system behavior, and identifies prospective problems before they arise. But how can logs be gathered in infrastructure running on a container orchestration system? The answer is either ELK Stack, Graylog, or Filebeat.
ELK Stack
Elasticsearch, Logstash, and Kibana are three open-source tools that collectively make up the term “ELK stack.”
Supervision, debugging, web analytics, risk assessment, business analytics, compliance, fraud prevention, and security assessments are some of the most typical ELK use cases.
Graylog
Graylog is a powerful log management solution that gathers, explores, and presents insightful log data in a dynamic online interface. It gathers information from both Kubernetes clusters and from single or several servers. Here is everything it has to offer:
Filebeat
Filebeat simplifies gathering, processing, and visualizing popular log sources with one command. It does it by integrating and operating system-based automated default pathways. To guarantee that a version of Filebeat is operating on each cluster node, it is launched as a DaemonSet.
The following choices exist for establishing Filebeat DaemonSet to gather Kubernetes logs from the cluster:
- Standard configuration
- Autodiscover configuration: Utilize Filebeat’s Autodiscover and suggestions system
- Customized Setup: Upload a Daemon set with customized configuration.
Some of the advantages Filebeat has to offer:
6. Tactical Role-Based Access Control (RBAC)
Any kind of vulnerability or attack might give restricted access to an outsider of the company. To prevent this, you can set up a policy in Kubernetes that prohibits users from deleting pods using RBAC. Utilizing Kubernetes RBAC will limit what certain users can change within your cluster. By giving them the responsibilities that are suitable for their jobs, you can mix or combine roles to offer them the access you desire.
Some examples of policies that can be placed using RBAC include:
- List a pod
- Create a pod
- Include more users
- View the data’s deepest features
- Eliminate a deployment
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Our KubeOps framework is solidly built and fully adaptable to address all your business concerns right from the start!
