Argo CD is a declarative, GitOps-based continuous delivery tool designed to simplify and streamline application deployments in Kubernetes environments. As part of the CNCF (Cloud Native Computing Foundation) ecosystem, Argo CD has become a cornerstone for teams embracing cloud-native development practices. At its core, Argo CD ensures that the desired application state defined in Git repositories is automatically synchronized with the live state of applications running in Kubernetes clusters.

As someone deeply embedded in the cloud-native space, I’ve witnessed how the rapid evolution of cloud computing has unlocked remarkable opportunities—but also introduced significant challenges. Recently, I revisited some research we conducted back in 2022, which revealed a critical trend: despite the hundreds of services offered by the major cloud providers (the Big Three hyperscalers), most businesses use fewer than 10 services from their cloud provider.

Artificial intelligence (AI) and machine learning operations (MLOps) have become crucial across a wide swath of industries, with the two technologies working in tandem to provide value. AI enables data-driven insights and automation, while MLOps ensures efficient management of AI models throughout their lifecycle. With AI’s growing complexity and scale, organizations need robust infrastructure to manage intensive computational tasks, giving rise to platforms like Kubernetes.

Understanding and managing the impact of Kubernetes changes is one of the biggest challenges for modern DevOps teams. Every modification to a manifest, whether it’s adjusting memory limits, tweaking CPU allocations, or updating container images, has the potential to destabilize services or degrade performance.

This series will guide you through the most crucial container networking concepts. You don't need to be a Docker expert to apprehend the different concepts introduced here, though a basic understanding of networking, Docker, and Kubernetes is required. You can fast-track to the second part by going to Docker Networking Part II. Docker is a tool designed to create, build, and run isolated environments inside containers. It's widely used to containerize applications to run inside lightweight containers.

Kubernetes is known to be the best container orchestration tool, but it can also add complexity to resource management, particularly as your clusters expand. Without proper monitoring, problems can rapidly worsen, resulting in subpar application performance, service interruptions, and higher expenses. In this blog, you will learn the key metrics for monitoring Kubernetes performance and how monitoring these can assist you in maintaining optimal performance in your environment.

Docker has transformed how we deploy, manage, and scale applications. As applications grow in complexity, the need for effective orchestration increases. This is where Docker Swarm comes into play. Docker’s native clustering and orchestration tool simplifies the management of multi-container applications. Together, Docker and Docker Swarm form a powerful combination for building and scaling modern, distributed systems.

Managing Kubernetes Role-Based Access Control (RBAC) across multiple clusters and clouds can be a complex challenge, especially for enterprises that require tight integration with existing identity management systems. Enter Kublr, a robust Kubernetes cluster management platform designed to simplify operations with its user-friendly interface, enterprise-grade features, and security-focused capabilities.

Kubernetes events play a predominant role in helping ensure the peak performance of your Kubernetes clusters. These occurrences reflect important changes in states and offer immediate insights into the activities within your clusters. Whether a pod fails to initialize, a node becomes unreachable, or an application deployment encounters problems, Kubernetes events help you comprehend the root causes of these occurrences.

Last year, we witnessed a significant influx of companies transitioning to Cycle from Kubernetes, ECS, and other container platforms. These interactions provided us a front row seat to the evolving culture of DevOps. This article dives into the three biggest DevOps trends that we see making a big impact in 2025.