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Cloud computing enables businesses to store and manage data, host applications, and utilize computing power on-demand without physical infrastructure. This flexible and scalable approach to IT infrastructure offers cost-efficiency, easy accessibility and allows organizations to focus on core competencies rather than infrastructure management.

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Handling L4/L7 traffic with Envoy proxy — Introducing Envoy

One of the most crucial qualities an experienced developer should have is knowing how to avoid reinventing the wheel. When creating a web application, there are a few common functionalities that you need to provide no matter what your application does or what technology you use. Usually you want your application to at least support: Secure connection (TLS), Authentication, High availability, Load balancing, Circuit breaking, Canary deployments, Observability, Rate limiting. In this blog post, I will tell you about Envoy proxy - a solution which will not only provide you with the functionalities described above but also with many other neat features.
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Service mesh vs. Kubernetes Ingress — what is the difference?

Service mesh and Ingress are two solutions used in the area of ​​application networking in Kubernetes. In this article you will see what characterizes each of them and understand where the real difference between them is. A service mesh is a kind of special “system” for communication between applications, different components of an application based on microservices architecture, or between various other workloads running in virtual environments, such as Kubernetes. The solution provides a rich set of features in the fields of traffic management, reliability, resilience, security, and observability.
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What is a service mesh — everything you need to know

A service mesh is an increasingly popular solution in the area of ​​application networking, in Kubernetes and other environments. If you are still not familiar with the concept, in this article you will find everything you need to know before taking a deeper dive. Over the past few years, we have seen a shift away from approaches based on monolithic code when designing software applications. Instead, modern design is based on microservices architecture. At the end of the day, it is about delivering basically the same business logic, not in the form of a large monolith but as a collection of loosely coupled and independently deployable services.
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How to build CNFs using Ligato framework

Cloud native network functions (CNFs) are a hot topic today. In this blog post, I will take a stab at explaining why and also present the Ligato framework, which allows you to build your custom CNFs. We started talking about Virtual Network Functions (VNFs) a few years ago when the concept of Network Function Virtualization (NFV) appeared. In short, it is that network functions can be deployed as virtual machines (VMs) instead of being delivered on dedicated hardware offered by vendors. Over time, telco operators and service providers launched their first field trials and then roll-outs of network functions based on this paradigm.
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Microsoft Azure cost management in cloud-based software development

Software development, testing and R&D activities very often require considerable cloud resources. At the same time, these are dynamic environments which can lead to ballooning cloud costs. Public clouds such as AWS, GCP or Microsoft Azure have native mechanisms to manage and optimize spend, but they can’t prevent you from incurring unwanted and uncontrolled costs. This led us to create our own cloud cost optimization solution. In this, the final part of our three-part series, we will show you how to build an Azure cost management solution.
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How to optimize GCP costs in cloud-based software development

Scalability, availability and high availability—these are the advantages that make public clouds a must have in modern software development. But they can cost you dearly if you don’t manage your cost spending carefully. In the second part of our three-part series on cloud cost optimization, we will show you how to get the GCP bill under control and avoid unexpected cloud costs. Following up on our initial blog about AWS, we’ll now turn to building a cost management solution for the second public cloud: Google Cloud Platform (GCP).
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AWS cost optimization — keeping cloud-based software development costs under control

Public clouds are now indispensable in modern software development. They offer flexibility, scalability and high availability. At the same time, cloud cost management can be tricky, and generate unwanted spend that will be a considerable burden for the overall budget of your software project. In our three-part series on cloud cost management, you will read how to keep costs under control in the three most popular public clouds: AWS, GCP and Azure. In this first installment, we will present our approach to AWS cost optimization.
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Deploying a Kubernetes operator in OpenShift 4.x platform

Contrail-operator is a recently released open-source Kubernetes operator that implements Tungsten Fabricas a custom resource. Tungsten Fabric is an open-source Kubernetes-compatible, network virtualization solution for providing connectivity and security for virtual, containerized or bare-metal workloads. An operator needed to be adjusted to the OpenShift 4.x platform, which introduced numerous changes to its architecture compared with previous versions. In this blog post, you’ll read about three interesting use cases and their solutions.
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