This growing connectivity method opens users to a whole new world of network capabilities, and is becoming more essential than ever before.

The spike in pressure among the financial services industry is one that today’s organizations have to get in front of. When digital transformation, the demands for modernization, and fierce competition began in recent years, proactive approaches became the requirement. Companies that still react to change are likely to struggle in the current, trailblazing landscape, and they may even fail to reach business-critical goals.

Kubernetes and OpenShift are two major players in the container management space, each offering unique advantages and challenges. This article will discuss both these platforms, comparing their strengths and weaknesses. We will also explore their ideal use cases, and how a platform like Qovery bridges the gap between them. Whether you're a proficient DevOps or a developer, understanding these platforms can help you make the right choice for your container-based applications.

As a modern software engineer or CTO, you’re responsible for building, delivering, and maintaining high-quality software solutions at scale. Yet, software programs have grown increasingly complex over time, requiring meticulous work. The competition threatens to take your subscribers every billing cycle if you don’t constantly innovate, too. Customers want more, bigger, and better upgrades and updates.

Microservices are fantastic for agility and innovation, but the trade-off is complex service management and ownership. With hundreds of interconnected services, troubleshooting and Incident Response can become a potential blocker. The traditional siloed approach to service ownership and the increasing deployment makes service management more complex.

Azure VM Autoscaling is a feature provided by Microsoft Azure that allows to automatically adjust the number of Virtual Machines (VMs) in a specific scale set based on predefined criteria such as load, performance metrics, or a schedule. This post delves into the significance of autoscaling within Azure VMs, spotlighting its role in cost optimization, performance enhancement, and improved availability.

Datadog Database Monitoring (DBM), which provides host-level and query performance metrics and insights for PostgreSQL, MySQL, and SQL Server, is now available for Oracle. Oracle is one of the most common database types, and now teams that operate Oracle databases can use Datadog to monitor these resources alongside telemetry from across their environments.

Recently we went live with one of our biggest product launches to date AI. And this product was unique in that it was broken up into four smaller projects: So naturally most folks might be wondering: What were the biggest differences between these projects and what went into actually building out each of these features? In this episode, you'll hear from Rob and Isaac, both Product Engineers who played a really critical role in the building out of related incidents, to get a peek behind the curtain.

Modern applications are rarely created entirely from scratch. Instead, they rely on a framework of pre-existing applications and services, each adding specific features and functionality. These dependencies empower teams to build and deploy applications more efficiently, but they bring their own set of challenges. Tracking, managing, and updating these dependencies is difficult, especially in large, complex applications where dependencies are likely managed by different teams.

This is part one of seven in our Frugal Architect blog series. In case you weren’t as giddy as CloudZero was at re:Invent this year, we wanted to recount the seven laws outlined by Werner Vogels, Amazon’s CTO, which he’s bundled into a framework called “The Frugal Architect”. What is “The Frugal Architect”? A constitution of sorts for how engineers can build high-functioning, cost-efficient cloud software.