Blog – Taikun

What is Kubernetes Stateful Set? – A Guide to Managing Stateful Applications

In today’s increasingly digital environment, data is essential to running any enterprise. Therefore, businesses must ensure their data is secure and readily accessible. Cloud computing has enabled companies to keep their data in a central location and access it from any device at any time. However, stateful apps in the cloud present unique management challenges due to their reliance on persistent storage.

The Pros and Cons of using Kubernetes for Microservices Architecture

Kubernetes has quickly gained traction as a platform for managing microservices architectures due to its capacity to help businesses with containerised applications’ deployment, management, and scalability. Cloud Native Survey indicated that 96% of firms are either actively utilizing or investigating Kubernetes, representing a significant increase from previous surveys.

How to Use Kubernetes for Machine Learning and Data Science Workload

This piece will go into Kubernetes’s strengths and how they can be applied to data science and machine learning projects. We will discuss its fundamental principles and building blocks to help you successfully install and manage machine learning workloads on Kubernetes. More over, this article will give essential insights and practical direction on making the most of this powerful platform, whether you’re just starting with Kubernetes or trying to enhance your machine learning and data science operations.

What is the Kubernetes Federation? A Guide to Managing Multiple Clusters

Kubernetes Federation is an invaluable solution that unifies multiple Kubernetes clusters into one entity, making it simpler to deploy applications across diverse environments. With Federation, users can create a global namespace that spans across all clusters in the Federation, allowing for seamless deployment and management of resources.

A Guide to Using Helm Charts for Managing Kubernetes Applications

Kubernetes is quickly becoming the most popular platform to manage the massive scale of containerized workloads and with the right reasons. It’s versatile, flexible and comes with a broad selection of tools and features to manage containerized applications. However, managing applications that run on the top of Kubernetes can be a challenge particularly when it comes to deployment as well as scaling up workloads. This is the reason Helm Charts can help They simplify the process of deployment and let users effectively manage their apps.

Monitoring Kubernetes: Best Practices for Observability and Alerting

Kubernetes has emerged as one of the most popular container orchestration platforms, powering a vast majority of modern cloud-native applications. According to Gartner: 90% of the world’s organizations will have containerized applications in production by 2026, that is up from 40 percent in 2021.

A Beginner’s Guide to Istio: A Service Mesh for Kubernetes

In recent years, microservices have emerged as a popular approach to building modern software applications. This approach breaks down applications into smaller, independent components, each responsible for a specific task or function. However, managing the communication between these components can be challenging, especially as the number of services grows.

Kubernetes in Production: Tips and Tricks for Managing High Traffic Loads

In today’s digital world, websites and applications are expected to handle a high traffic volume, especially during peak hours or promotional campaigns. When server resources become overwhelmed, it can lead to slower response times, decreased performance, and even complete service disruptions.

Understanding the Difference Between Private and Public Clouds

In a nutshell: The article explores the similarities and In a nutshell: The article explores the similarities and difference between private and public clouds and will help you decide which is best for your organization. Businesses have a choice between private and public clouds, and each has its own unique set of benefits and challenges. While both have advantages and drawbacks, the right choice depends on your business needs, goals, and budget.

Why Do Companies Use Hybrid Cloud [5 Real Examples to Incorporate to Your Business Strategy

Since businesses increasingly rely on data and digital technology, cloud computing has become an integral part of their strategy for IT. While the public cloud has long been a go-to option for many companies, the hybrid cloud has emerged as an appealing alternative that provides the advantages of both public and private clouds – according to Flexera’s study, 87% of enterprises have adopted a hybrid cloud strategy, with 50% of workloads currently located within this environment. Furthermore, 84% have implemented multi-cloud strategies, showing the widespread appeal of using multiple cloud providers.

Different Roles in the Cloud – Complete Job Description

What are the Different Roles in the Cloud? Cloud computing has become an increasingly popular way for businesses to store and process data. According to a report by Gartner, The worldwide public cloud services market will grow 17.5% in 2019 to reach $214.3 billion, up from the 2018 total of $182.4 billion.” As more businesses move their operations into the cloud, demand for experienced professionals who can manage these systems has also grown significantly. Cloud computing includes a range of roles, each with their own set of responsibilities and necessary skill set, mostly requiring expertise in areas such as infrastructure management, security protocols, and software development. Let’s go thrught the job description of each position, so you can find the right professional for your needs.

How are Hybrid Clouds Implemented?

Implementing a hybrid cloud environment has now become a major gateway to modernize your business. According to 82% of firms are now utilizing or planning to employ a hybrid cloud solution within the next 12 months, demonstrating the widespread adoption of this strategy. Most companies prefer to opt for a hybrid cloud strategy due to its various benefits, like data security, flexibility, cost-effectivity, and scalability. Despite these benefits, the path of adopting a hybrid cloud model is a bit complex due to certain challenges like security and governance.

Hybrid Clouds Architecture: Everything you Need to Know

As digital transformation continues to expand, businesses face the overwhelming challenge of managing and processing all the data produced daily. According to Statista, Global data production is forecasted to rise from 64.2 zettabytes in 2020 to 180 zettabytes by 2025 – emphasizing the need for effective data management.

The Most Common Use Cases of Hybrid Clouds

Cloud computing’s popularity has increased as more businesses are aware of its benefits. According to Flexera 2020 State of the Cloud Report, around 80 percent of enterprises have a hybrid cloud strategy. They are adopting hybrid clouds for cost savings, greater agility, resiliency, availability, performance and scalability.

Why is a Hybrid Cloud Strategy Important?

The hybrid cloud infrastructure remains the future for many companies as the cloud continues to evolve. According to Statista, “the global hybrid cloud market is expected to reach $262 billion in 2027.” But why and how do companies determine if they’re one of them? Let’s explore in this article below.

New Taikun Features | February 2023

As our product evolves, we keep adding more features to help you quickly and efficiently manage your clusters. This release is not an exception – along with several important updates and fixes, we are humbled to share the newest functionalities within Taikun.

Understanding the Difference Between MultiCloud and Hybrid Cloud Environments

Let’s explore the differences between multi-cloud and hybrid cloud based on different characteristics, including architecture, intercloud workloads, vendor lock-in, availability, and cost. Cloud computing has revolutionized how businesses used to run in the past. Currently, there are many models of cloud computing. Cloud technologies have matured, expanded, and improved to support business purposes. According to Statista, “the global cloud applications market is expected to reach $168.6 billion by 2025.” As a result of the proliferation of cloud technologies, businesses, particularly those new to the cloud, sometimes need clarification on multi-cloud and hybrid clouds. While they both refer to types of cloud deployment integrating multiple clouds, there are significant differences between them. The article explores the key similarities and differences between multi-cloud and hybrid cloud environments.

The Future is Here: How Hybrid Cloud is Changing the IT Landscape?

A hybrid cloud refers to a single, unified, and flexible distributed computing environment that integrates public cloud services and on-premise infrastructure or private cloud and provides management and orchestration across them. It allows organizations to keep their sensitive data on-premises while taking advantage of the scalability and cost-effectiveness of public cloud services.

How To Run Applications on Top Of Kubernetes

In our series on Kubernetes so far, we have covered an entire gamut of topics. We started with a comprehensive guide to help you get started on Kubernetes. From there, we got into the details of Kubernetes architecture and why Kubernetes remains a pivotal tool in any cloud infrastructure setup. We also covered other concepts in Kubernetes that are useful to know, namely, namespaces, workloads, and deployment. We also discussed a popular Kubernetes command, kubectl, in detail. We also covered how Kubernetes differs from another popular container orchestration tool, Docker Swarm. In this blog, we will consolidate all our learnings and discuss how to run applications on Kubernetes. Although we covered this topic in bits, we feel this topic deserves a blog of its own.

Kubernetes Deployment: How to Run a Containerized Workload on a Cluster

In this blog, we will discuss Kubernetes deployments in detail. We will cover everything you need to know to run a containerized workload on a cluster. The smallest unit of a Kubernetes deployment is a pod. A pod is a collection of one or more containers. So the smallest deployment in Kubernetes would be a single pod with one container in it. As you would know that Kubernetes is a declarative system where you describe the system you want and let Kubernetes take action to create the desired system.

Kubernetes Namespaces

In the last few blogs we covered have covered Kubernetes in great detail. We started with an overview of Kubernetes and why it is one of the most important technologies in cloud computing today. We also spoke about what Kubernetes architecture looks like and how you can use Kubernetes using a simple kubectl tool. In this blog, we will cover everything you need to know about Kubernetes Namespaces.

Managing Kubernetes With Kubectl

One of the recommended command-line methods to manage your Kubernetes setup is to use kubectl. With the kubectl command, you can interact with Kubernetes API servers to manage workloads in the Kubernetes infrastructure. In this blog, we will cover all aspects of the kubectl command that you would need to get started on managing Kubernetes with it. If you wish to get an overview of Kubernetes, you can read our series of blogs on it starting here.Let’s start with understanding what kubectl is and how it works with Kubernetes.

Kubernetes Workloads – Everything You Need to Get Started

In the last few blogs, we discussed how Kubernetes has become a gamechanger in the adoption of cloud computing and how you can get up to speed with it. We also discussed how Kubernetes differs from other orchestration tools like Docker Swarm and how you can make the right choice for your use case.

Introducing Kubernetes Architecture – From Zero to Deployment

Kubernetes has been a game-changer in the growth of cloud adoption in the last decade. As more containerized applications take frontstage, Kubernetes has become the go-to container orchestration tool. In this blog, we will go into the depths of Kubernetes and study its architecture. We will also see a simple workflow on how you can set up Kubernetes and deploy it on the cloud. If you wish to read more about Kubernetes, you can start with our series on it from here. Let’s get started.

How Kubernetes Is Different From Docker Swarm?

Kubernetes and Docker Swarm are both very popular container orchestration tools in the industry. Every major cloud-native application uses a container orchestration tool of some sort. Kubernetes was developed by Google in the early 2010s from an internal project which managed billions of containers in the Google cloud infrastructure. You can read more about it in our blog here. In this blog, we will go through the details of how Kubernetes and Docker Swarm differ from each other and how to choose the right tool for you.

What is Kubernetes and Why is it the Future of Cloud Computing

As more and more applications became cloud-native, containers became the ubiquitous way to bring flexibility and scalability to the system. As applications gained more and more functionality, it became essential to have an automated system for container management. A system that creates, manages, and destroys containers as the traffic requirements change. This is called Container Orchestration. Kubernetes is the leading container orchestration tool in the cloud infrastructure today. It gives a level of abstraction over containers on a cloud infrastructure and groups them into logical units for easier management and discovery.

The Ultimate Guide to Getting Started With Kubernetes [2023]

According to a 2021 CNCF survey, 96% of all companies surveyed are either using or evaluating Kubernetes in their infrastructure. As you get comfortable using containers for your software deployment (read more about containers in our ultimate guide), you will soon require a tool to manage container deployments and configuration dynamically. This is where Kubernetes comes into the picture. Kubernetes is one of the most popular container orchestration tools. As the CTO for CNCF says, Kubernetes has now become utterly…

Microservices vs. Monolithic Architectures

Software development in the last decade has largely moved from a monolithic architecture to a microservices-based architecture. The adoption of cloud platforms accelerated that transition to microservices architecture. But what does it really mean? Why did that happen, and which architecture is best for your development project? How does microservices architecture tie in with containers and cloud setups?

How to Handle Container Storage

Storage is one of the most important aspects to take care of while dealing with containers in any architecture. By default, the data within the container is destroyed with the container. This makes it difficult for other containers to access the data and carry the process forward. In architectures of scale, container orchestration is internalized by tools like Kubernetes and Docker. This means that multiple containers are created, managed, and destroyed within the same workflow.

Introduction to Container Networking in Docker

Most containerized applications need some form of communication with other network devices and applications. This is where container networking concepts play an important role. In this blog, we will tell you everything you need to know about container networking and how to get started on it.

Running Your First Own Container Images in Docker

Docker desktop gives you a straightforward way to use any Docker image and run a container. You can choose to use any image. To start with, we advise you to take an image from Docker Hub. As discussed in the previous blog, Docker Hub is a public repository of Docker images that are verified by

How to start using Docker

In 2013, Docker revolutionized the virtualization space with Docker Engine. Containerization became more mainstream, and Docker became ubiquitous to containers. With Docker, developers could standardize the environments for their applications to work in. These standardizations made way for smoother deployments and faster time to market. In this blog, we tell you everything you need to get started with Docker. This is part of our extensive series of blogs on Containers.

The Difference between Containers and Virtual Machines

The virtualization world has seen a sea change in the last 10 years. For a long time, Virtual Machines ruled the virtualization world. But ever since Docker Engine was launched in 2013, containers have become the go-to virtualization method for developers. Over time, the software development process has now shifted from a blame game of “it-works-on-my-machine” to smooth deployment of software systems performed 1000s of times every day.

What are containers? The definitive definition and the most common use cases

Containers are self-sufficient software packages that can run the service being agnostic to the underlying environment. It would contain everything from binaries to dependent libraries to configuration files. This makes containers easy to port. Since containers do not have operating system images, they are lightweight compared to Virtual Machines.

The Complete Guide on How To Get Started With Containers [2023 Updated]

Containers have become near ubiquitous in today’s IT infrastructure. A 2020 survey showed 89% of companies agreeing that Containers will play a strategic role for them in the near future. This pace has only increased with the Covid-19 pandemic. By 2022, many more companies have adopted cloud technologies and containerization as their key strategic play.

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