amaryans

Running stateful workloads in the k8s clusters can be a balancing act.  The dependability of your underlying storage determines the dependability of your applications, whether they be enormous AI data pipelines or mission-critical databases. A major driver for pod restarts, cascading microservice delays, and over-inflated cloud bills is misconfigured or underperforming persistent volumes. What will you do to ensure you have the right provisioning class for your production apps? Enter Kubestr. Kubestr, a lightweight, open-source command-line solution, is developed by Kasten by Veeam and is designed to discover, validate, and benchmark your Kubernetes storage resources. Let's take a closer look at deployment, complex Container Storage Interface (CSI) architectures, and tweaking your benchmark methodology for today's enterprise workloads. What is Kubestr and Why Do You Need It? Kubernetes storage is much more dynamic than traditional Virtual Machine environments, where your storag...

Kubernetes (K8s) has become the backbone of modern enterprise computing, and this is becoming evident. Containers provide an alternative that is lighter, simpler, and faster to manage than traditional virtual machines (VMs), enabling DevOps teams to deploy new versions promptly, even if they are quite frequent, and keep applications running without significant downtime. But the very characteristics of cloud-based environments – ephemeral, distributed, and extremely dynamic – add a high-risk element. Without a specific cloud-native data protection policy, the loss of one cluster can cause catastrophic data loss, as can a ransomware attack. So here's how you can implement a data protection strategy for your enterprise to ensure software life cycle security and meet compliance requirements. Why Legacy Backups Fail in Cloud-Native Environments Backups in the traditional (legacy) enterprise world are for physical servers and VMs. They provide a complete backup of the operating system, h...

Sustainable finance is more than an agenda for the boardroom or a sub-section of Corporate Social Responsibility (CSR) reports. With greater requirements for climate disclosure and a significant increase in environmental capital flowing in, Green FinTech has become an essential component of the financial architecture around the world.   The intersection between green finance and fintech is reshaping the landscape of capital mobilization, tracking, and deployment in a transformative way, ranging from tokenized real-world assets (RWAs) to AI-powered carbon accounting. What is Green FinTech? Green fintech is essentially a type of financial technology infrastructure that is designed to help, support, or scale environmental sustainability. It serves as the virtual “glue” that connects verified sustainable assets to institutional investors, companies, and household consumers.  The difference between green finance and green fintech is that traditional green finance goes about th...

Most central banks around the world have not made a formal recognition of cryptocurrencies as legal tender, but neither are they a negligible force in the global economic system. With the evolution of so-called spot ETFs (Exchange-Traded Funds) and the regulatory clarity provided by the EU's MiCA (Markets in Crypto-Assets) framework and by the joint decision of the SEC and CFTC in the US, digital assets have moved out of the realm of speculation and into institutional investment. If you want to get into the cryptocurrency realm, it is important to grasp the fundamental concepts of blockchain technology and decentralization, otherwise known as your "baby steps. The Foundation: Peer-to-Peer (P2P) Networking and Blockchain It's essentially a digital ledger that is publicly distributed and unalterable and keeps track of transactions on a peer-to-peer (P2P) network. This ledger is not a traditional financial system residing on a single company's server. Rather, it is made u...

Gone are the days of dogmatic "microservices for everything" in modern enterprise architectural software. Although early adopters were the first to champion the move to a large scale of operations, engineering leaders now see architectural patterns as a pragmatic spectrum. It's no longer a trendy question of whether to go with a monolith, modular monolith, or microservices; it's a question of who has more capacity, who's willing to pay more, and who can handle more data. Changing from a monolithic system to a collection of independent services, if done correctly, can deliver unprecedented speed, limit failure domains, and create a platform for a new generation of cloud-native applications and agentic AI pipelines that are scalable. Monolithic vs. Microservices: The Core Architecture The first step to understanding service boundaries is to analyze how the following two structural patterns work with code, data, and deployment. Architectural Dimension Monolithic Arch...