Operations | Monitoring | ITSM | DevOps | Cloud

Software testing is important enough to have its own phase in the software development life cycle (SDLC). The software testing life cycle (STLC) is a step-by-step process that improves the quality of software by applying rigorous planning and analysis to the testing process. Testing is a development tool that adds value to your team’s applications. Embracing testing as a vital component of software development can save you and your team a lot of time debugging and fixing errors in the future.

Big news! The Qovery Terraform Provider is now publicly available for everyone! This article will show you what you can do and why you should consider using Terraform with Qovery.

The rapid growth of the marketplace and increasing competition require companies to make significant changes in the way they offer services and products. Companies that wish to remain competitive must keep an eye on technology development and adapt to any new technology if it becomes available. Each new cloud service provider in cloud computing contributes fundamentally to promoting growth and competition at the same time.

What a way of starting the year! Setting milestones, helping those in need, and daring to dream. January 2022 starts with one of the biggest technological conferences — CES. So, in this piece, you will find a breakdown of three robots in our usual style. But there’s more… we also bring a story to inspire you all. It’s a great experience writing this blog, where every month news are abundant. Thank you all for contacting us and sharing your stories.

When we talk about various deployment and infrastructure provisioning choices on AWS, each option serves a particular set of users and needs. Some of Amazon's most common deployment services include Elastic Beanstalk, CloudFormation, and CodeDeploy. In containerization, there are options like ECS, EKS, Fargate, etc.

To start, DevOps is exactly what it sounds like — a combination of software development and IT operations that shortens the product lifecycle and delivers a higher quality operational performance, benefiting the company and customer alike.

Engineers who support production environments are tasked with resolving new issues as quickly and efficiently as possible. But as they look to carry out these responsibilities, their remediation workflows tend to take on the following pattern: For example, someone on your team might discover in a log analysis tool that a user is flooding a key service by making an abnormal number of requests.

Many organizations leverage AWS to build fully managed, event-driven applications, which break down complex workloads into APIs, event streams, and other decentralized services in order to improve performance and scalability. This type of architecture relies primarily on AWS Lambda functions to process synchronous and asynchronous requests as they move between a workload’s resources, such as Amazon API Gateway and Amazon Kinesis.

Over the last two years much of the Global workforce has experienced remote working first-hand. Sound familiar? For many, this was a ‘career first’, changing their views on the effectiveness of remote working. The desire to be office based has reduced dramatically with people wanting to avoid time-consuming commutes. In a recent survey, a staggering 91% of US workers wanted home working to persist post pandemic.

Welcome to Part II of this three-part blog series on adopting the low latency Ubuntu kernel for your embedded systems. In case you missed it, check out Part I for a brief intro on preemptable processes in multiuser systems and memory split into kernel and user space. The low-latency Ubuntu kernel ships with a 1000 Hz tick timer granularity (CONFIG_HZ_1000) and the maximum preemption (CONFIG_PREEMPT) available in the mainline Linux kernel.