Traditional development methodologies are being replaced by more efficient and collaborative approaches like DevOps. By integrating development (Dev) and operations (Ops) teams, DevOps streamlines the software delivery process, leading to faster time-to-market, improved product quality, and increased customer satisfaction.

In this article I’m going to introduce Kosli Trails. This is a new feature that allows you to record an audit trail for any DevOps process. It’s already in production and being used to record Terraform pipelines, CI processes, server access, feature toggles, and more.

Monitoring Elasticsearch is crucial for ensuring optimal performance and reliability of the search and analytics engine, as it helps identify issues related to query performance, resource utilization, and system health before they impact users. It also provides insights into the efficiency of data indexing and retrieval processes, enabling timely adjustments to configurations, scaling decisions, and optimization of search queries to maintain high availability and fast response times.

Security and compliance are important in any organization. And most organizations use open source software (OSS) somewhere in their application stack. Open source compliance keeps OSS technologies secure by making sure they’re used in a way that aligns with security best practices, internal policies, and regulatory expectations.

First, let’s break down the differences between mono and multi-repo setups. Mono-repos are exactly what they sound like – singular repositories that hold everything in one place. Multi-repos, however, can scatter the landscape, resulting in separate repos that are all still part of the larger ecosystem. While this approach offers flexibility, it can also make projects way harder to manage.

Windows server management is complex, and when your servers are running in different locations — on-premises, in a distributed network, in Azure, virtually, or in a hosted environment — it gets more complicated. You can simplify server management with Microsoft’s Windows Admin Center, which makes it easier to manage servers, wherever they are, from a single interface.

I wrote a previous blog post, "AI Explainer: What's Our Vector, Victor?," to scratch the surface on vector databases, which play a crucial role in supporting applications in machine learning, information retrieval and similarity search across diverse domains. From that blog arose the topic of embeddings, which I addressed in a subsequent post, "AI Explainer: Demystifying Embeddings." In explaining embeddings, the notion of continuous space was presented, which is the topic of this blog.

I'm thrilled to unveil a suite of groundbreaking features that we've introduced over the past four months at Qovery. Our commitment to enhancing your development and deployment experience continues to be our driving force. Recently, we shared these updates during our exhilarating public demo day, which you can watch here. Let's dive into the features that are set to redefine your interaction with Qovery.

The pressure to constantly innovate and release new features can often clash with the need for a stable and reliable product. While there might be some temporary cutbacks in testing time to achieve high feature velocity, ensuring reliability doesn't have to be an afterthought. We reached out to industry experts to gather their insights on ensuring reliability during phases that demand high feature velocity. Here's what they had to say.

In the ever-evolving landscape of APIs, ensuring seamless interactions and managing changes becomes crucial. While innovation and adaptability are essential, maintaining backward compatibility is equally important to avoid disruption for existing users. This is where REST API versioning comes into play. Versioning allows you to introduce new features or changes to your API in a controlled manner, while simultaneously keeping older versions running smoothly.