The FinOps Foundation states that “For the first time, Reducing waste was the highest key priority for FinOps practitioners across all spending tiers. This may be influenced by macroeconomic trends, with businesses looking for ways to reduce spending without reducing the value they are getting from their cloud investments.”

This guide walks you through setting up Docker monitoring using Prometheus and Grafana, helping you track container performance and resource usage with ease.

Effective IT infrastructure management is essential for startups aiming for operational excellence and sustainable growth. A well-structured infrastructure lays the groundwork for seamless operations, scalability, and competitive edge. Today, we’ll break down essential best practices for managing your IT infrastructure effectively—providing practical insights to help you create a resilient and scalable foundation for your startup. Let’s get started!

In cloud-native environments, autoscaling and optimization are often confused, yet they serve different purposes. While Kubernetes offers several built-in autoscaling features, these are often mistaken for optimization. In reality, autoscaling is reactive, responding to changing demands, whereas optimization is proactive, focused on configuring workloads efficiently from the start.

Argo CD is the most popular GitOps tool for deploying applications to Kubernetes clusters. Many teams that move their applications to Kubernetes choose Argo CD for its powerful sync engine and intuitive dashboard. Argo CD is also fully open source, which means teams can freely install it on their private clouds, behind-the-firewall data centers, or even in air-gapped environments without any licensing restrictions.

As a straightforward definition, AI inference is the process of applying a pre-trained machine learning model to new, unseen data in order to generate predictions, classifications, or decisions. Unlike the training phase, where the model learns from a dataset, inference involves utilizing the learned patterns to analyze and interpret new inputs.

We're excited to announce two major additions to our website that are set to make your experience using Cycle smoother and more effective: the completely revamped Documentation section, and the new Learn Center.

Docker is an open-source container service provider, designed to help developers build, run, and share container applications. Users building and running these container applications need to conduct effective debugging and monitoring practices and for this, they have turned to Docker logging. To understand the importance of this, the latest edition of our how-to guide series surrounds Docker.

At some point, your development team may be considering implementing load testing (also known as stress testing) as part of your software testing process. Load testing validates that your web app is able to withstand a large number of simultaneous users, decreasing the chance that any traffic spikes will bring down your services once deployed. These stress tests can be highly granular, giving you the opportunity to test run virtually unlimited strategies before they are set into the wild.

Transactions-per-Second (TPS) is a valuable metric for evaluating system performance and is particularly relevant for engineers overseeing Kubernetes environments.TPS, alongside average response time, provides critical insights into system performance during load testing. This post covers two approaches to calculating TPS; a manual approach applicable in all environments, and an automatic Kubernetes-specific solution using production traffic replication.