Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Testing also lets you check that specific files are in the
correct location and have the correct content. To create smaller, more resilient images, and to make your containers easier to
build and run, make sure you follow the
best practices for building containers. Sometimes add-ons require upgrades, but it’s important to check whether the latest kubernetes based assurance version is compatible with your cluster. This process can be slow and difficult without tools that detect add-on changes automatically. IaC enables you to use a configuration language to provision and manage infrastructure, applying the repeatability, transparency, and testing of modern software development to infrastructure management.

You can subsequently use the namespace to administer the deployment of additional resources. Kubernetes automatically tries to deploy pods to locations with the smallest workload. Node and Pod affinity allow you to control which node a pod gets deployed to. Taints can prevent the deployment of pods to specific nodes without altering existing pods.

must-have command line Kubernetes tools

Some experience in working with Python, Git for version control, Docker for containerization and Kubernetes for deployment and scaling. Many people approach the creation of Docker images by making it as simple as possible to get their app working. This involves choosing a base image such as `ubuntu` or `python` that contains all the necessary libraries and tooling to get up and running. While easy, these images have an increased attack surface and memory footprint due to all the extra “stuff” inside. Declarative infrastructure and GitOps help you to achieve a closer parity of
your environments because you can more easily duplicate the configuration of
your underlying cluster. To ensure your environments have similar conditions for
policies and configurations, you can also use tools like
Config Sync
and Anthos Config Management.

Best practices for developing on Kubernetes

The overarching goal is to introduce minimal changes to your current workflow when developing the app for Kubernetes. Automated container deployment with Kubernetes ensures that most operations now run without direct human input. Design your applications and container images so that they are interchangeable and do not require constant micromanagement. Use Kubernetes namespaces to partition large clusters into smaller, easily identifiable groups. Namespaces allow you to create separate test, QA, production, or development environments and allocate adequate resources within a unique namespace.

Using Docker

Containerization technology is rapidly changing the patterns of IT architecture of application development, and Kubernetes remains its flag-bearer. As per Forrester’s 2020 Container Adoption Survey, about 65% of the respondent enterprises have used or planned to use container orchestration tools. Therefore, in every possibility, the popularity of Kubernetes is all set to grow in the future. Monitoring the control plane helps you identify issues or threats related to the cluster by increasing its latency.

We have moved practically the whole development process into a cluster, all but the IDE. If you cannot or do not want to run your IDE locally, it is possible to run it also in a cluster and connect to it via browser. Create a YAML file defining the namespace name and use kubectl to post it to the Kubernetes API server.

Kubernetes Best Practices for Building Efficient Clusters

Image scanning can detect vulnerabilities in packages that may be included as part of application libraries or base image dependencies. This can help to reduce the risk of malicious attacks from within the application. Other tactics for enhancing security include scanning Dockerfiles for insecure practices, using signed and scanned images, and implementing network policies to control communication between pods. Kubernetes, or k8s for short, is the most known container orchestrator and has grown into a feature-rich cloud-native platform.

Best practices for developing on Kubernetes

The control plane is the core of K8s, these components keep the system running and so are vital to correct K8s operations. Kubernetes API, kubelet, etcd, controller-manager, kube-proxy and kube-dns make up the control plane. Readiness probes ensure that requests to a pod are only directed to it when the pod is ready to serve requests. It is important to define the readiness probe for each container, as there are no default values set for these in K8s. We’re the world’s leading provider of enterprise open source solutions—including Linux, cloud, container, and Kubernetes.

The recent changes to Postman made it almost impossible to use. Here are some options and alternatives.

It enables the execution of configuration actions based on observability insights, such as resource consumption and performance management across all clusters. Furthermore, a centralized Kubernetes management view offers extended centralized monitoring and alerting capabilities, particularly for node failure incidents. Role-based access controls (RBAC) help you administer access policies that define who can do what on the Kubernetes cluster.

Best practices for developing on Kubernetes

But if you’re building an application from scratch – as Osnat advises teams do when they are getting started with containers and orchestration – give strong consideration to the microservices approach. Using Kubernetes in web development also requires adopting a DevOps approach that integrates the development, testing, deployment, and operation of your application. You should use tools and practices that support continuous integration, continuous delivery, continuous testing, and continuous monitoring of your application.

Centralization of platform capabilities improves efficiency of managing complex, multi-cluster infrastructure environments

Please register here to join a live demo of our new Kubernetes experience on December 14, 2023, delivered by our engineering and product management team. The rollout of all capabilities will start in February 2024 on all Dynatrace SaaS environments. Dependabot also provides security alerts by monitoring the Common Vulnerabilities and Exposures (CVE) database. When a security vulnerability is identified in one of our project’s dependencies, Dependabot promptly notifies us and automatically opens a pull request with the necessary updates. This, along with scanning our Docker images, enables us to patch vulnerabilities quickly.

  • Now that you have a basic idea of the options around the runtime environment, let’s move on to how to iteratively develop and deploy your app.
  • By finding security risks before you build artifacts or deploy, you can
    reduce the time and cost spent to address these risks.
  • Labels should be meaningful metadata that provide a mechanism to track how different components in the K8s system interact.
  • To ensure the highest level of security, you should make use of namespaces to isolate resources and enforce access control policies.
  • CNCF’s 2020 survey of 1,324 respondents showed 83% use Kubernetes in a production environment, which helps practitioners orchestrate containers by automating their deployment, scaling, and load balancing needs.
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This enables you to  maximize your investment in the K8s platform without worrying about whether you are meeting your organization’s policy requirements. Using namespaces or labels to map costs to a Kubernetes component helps you allocate costs to individual business units. The Kubernetes Vertical Pod Autoscaler (VPA) uses historical memory and CPU usage of workloads in conjunction with current pod usage to generate recommendations for resource requests and limits.


Dynatrace supports DevOps teams in their independence from platform engineers by enabling observability features for their applications using a simple toggle in the Dynatrace web UI. This way, DevOps teams can independently decide which namespaces they want to enable APM for, all the way down to self-service log collection. DevOps Stack Exchange is a question and answer site for software engineers working on automated testing, continuous delivery, service integration and monitoring, and building SDLC infrastructure. This week, you will learn about the fundamentals of virtualization, exploring its various aspects such as hardware utilization and scaling applications. You will start by understanding what virtualization is and delve into the concept of virtual machines.

“Naked” Pods versus ReplicaSets, Deployments, and Jobs

This complex web of interconnected technologies across a containerized environment introduces various challenges related to visibility, resource utilization, security, orchestration, and collaboration. To tackle these challenges, Dynatrace developed a purpose-built solution for platform engineering teams that reduces complexity through automated workflows, including auto-scaling, deployment validation, and anomaly remediation. In addition to minimizing our container images, we also prioritize code quality and security within our application, employing a security-first mindset. We prioritize security from the outset, thoroughly evaluating each design and feature with a focus on security. An important part in upholding these standards is our use of a robust code review process.

To tie the defined roles to the users, groups, or service accounts, RoleBinding or ClusterRoleBinding objects are used. Resource requests and limits define the amount of CPU and Memory available in millicores and mebibytes. Note that if your process goes over the memory limit, the process is terminated, so it may not always be appropriate to set this in all cases. Liveness probes test if the application is running in order to mark it as healthy.