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Role and responsibelities of DevOps, SRE, Platform Engineering, and Cloud Engineering

Role: DevOps (Development and Operations) is a cultural and professional movement that focuses on collaboration between software development and IT operations teams, aiming to automate and streamline the software delivery process.

Announcement: New Qovery Support Plans

Providing the best support for our customers has always been at the core of our company since day one, and it is something that will never change. In the infrastructure space, one downtime can be critical and have a huge business impact. Having the best support is key to running a business with confidence. Today, we are glad to introduce our new support plans, allowing us to provide best-in-class support and scale with the increasing number of clients using our product.

The Ultimate Guide to Performance Regression Testing

Regression testing is not a new concept. However, historically, it has been limited to functional testing due to the setup, configuration, and maintenance required to simulate a production environment accurately. Many teams have found the cost outweighs the benefits, but with the advent of production traffic replication (PTR), it’s become a viable option to regression test performance, especially for those running applications in Kubernetes.

The egress fee trap: How hyperscalers hurt customers and stifle innovation

Today, at Civo, we announced the complete removal of all egress fees, without caveats. Regardless of whether you stay with Civo, or look to move to another provider. Why have we done this? Our decision to remove egress fees is rooted from the original promise of cloud computing: flexibility and freedom. It embodies the ability to tap into virtually limitless computing resources on demand, without being tethered to rigid, on-premises infrastructure.

10 Best AWS Elastic Beanstalk Alternatives in 2024

AWS Elastic Beanstalk streamlines the deployment and management of applications in the cloud, offering developers an easy way to deploy services without worrying about the underlying infrastructure. However, while it simplifies many aspects of cloud deployment, it also presents challenges, including limited customization and potential vendor lock-in, which might not suit all project needs or scalability requirements.

Empowering organizations with reliable continuous delivery for Kubernetes applications

Managing application updates in production and ensuring the reliability of software releases in Kubernetes environments can be challenging. Small changes can sometimes lead to unforeseen issues in production. These unexpected problems, combined with the lack of scalability and the high costs associated with managing complex solutions, can be daunting.

Calico VPP: Empowering High-Performance Kubernetes Networking with Userspace Packet Processing

This is a guest post authored by Nathan Skrzypczak, R&D Engineer at Cisco. Calico VPP, the latest addition to Calico’s suite of pluggable data planes, revolutionizes Kubernetes networking by enabling transparent user-space packet processing. With features such as service load balancing, encapsulation, policy enforcement, and encryption, Calico VPP brings the performance, flexibility, and observability of VPP to Kubernetes networking.

How to overcome common challenges in machine learning deployments

🚨 To read the full findings from this research, visit The Machine Learning State of Play 2024 white paper. Are the challenges of deploying machine learning (ML) overshadowing its true potential in the modern workplace? Through our recent white paper , we spoke to 500+ developers who have experience working with ML systems to gain an understanding of the pain points faced by developers when using ML solutions.

Fresh from Paris: Platform engineering wisdom from KubeCon

Last week in Paris, at KubeCon EU 2024, platform engineering was the talk of the event. The topic had a full-day co-located event and also a dedicated track during KubeCon itself. Here’s what I’ve learned from sitting in keynote rooms and then standing at the Spot and NetApp booth till my knees hurt. (Spoiler: It was well worth it.)

Do We Still Need to "Observe"? The Future of AI & O11y

AI has had a massive impact on every part of our lives, but mainly on how we consume large data sets easily. The observability world is based on collecting enormous amounts of data and consuming it by observing dashboards built on monitoring tools. Most of the o11y tasks like writing complex queries, creating dashboards & defining alerts, have been done much in the same way for the last decade & AI models are well-positioned to disrupt this modus operandi.