Operations | Monitoring | ITSM | DevOps | Cloud

Docker is a helpful tool for application management. You can use Docker in various ways: in the standalone mode, using Docker Compose on a single host, or by deploying containers and connecting Docker engines across multiple hosts. The user can use Docker containers with the default network, the host network, or other more advanced networks like overlays. This depends on the use case and/or the adopted technologies.

As organizations increasingly embrace Kubernetes for container orchestration, optimizing both cost and performance has become a critical challenge. Kubernetes, with its flexible and powerful features, allows for efficient resource management, but without proper configuration and monitoring, it can also lead to over-provisioning, wasted resources, and skyrocketing costs.

At Qovery, we allow our users to spin up Kubernetes clusters on AWS, GCP, and Scaleway in 5 minutes. Recently, we began offering Karpenter as a node auto-scaler option when creating an EKS cluster - a feature that can be enabled with just one click.

Last year, we reflected on the progress that AI made in 2023 with tools like ChatGPT lowering barriers to entry and driving broader adoption across industries. Looking ahead, we anticipated even greater advancements in AI's accessibility and governance, including the democratization of technology, enhanced large language models for specific applications, and growing concerns around the ethical implications of synthetic content and intellectual property rights.

Edge computing is a decentralized computing approach that processes data and performs computations near the source of the data—local servers, smart devices, or edge nodes—rather than depending on a centralized data center. This reduces latency, which is often a result of data having to travel long distances and improves bandwidth efficiency. Discover how edge computing and Kubernetes revolutionize data processing and deployment.

When creating production-level applications, enterprises want to ensure the high availability of services. This often results in a lengthy development process that requires extensive testing for the applications or a new release. This involves testing the behavior of the application under load, measuring the performance metrics, and accounting for the resource consumption. All this is done to ensure that the application does not behave unexpectedly when being used by clients.

As we wrap up 2024, we are proud of everything we’ve accomplished together. This year was all about listening to our users, solving real problems, and continuing to build the tools you need to move fast without the headaches of DevOps complexity. From launching new features to expanding partnerships and empowering teams worldwide, 2024 was packed with milestones. None of this would have been possible without you, our amazing community.

Llama 3.3 just arrived, and it’s making waves in the AI community. This new version update takes it a step further, offering better performance, more efficiency, and greater flexibility than the last version. Whether you’re a developer exploring the latest machine learning tools or a business looking to streamline workflows with smarter systems, Llama 3.3 has a lot packed in for you.