Operations | Monitoring | ITSM | DevOps | Cloud

It is safe to say that customers and enterprises have come to expect their digital experiences to be near instantaneous. Fifty three percent of consumers will wait no more than three seconds for a web page to render before abandoning the site. But new technologies, like connected vehicles, AR/VR, and industrial automation, are pushing the limits of what traditional architecture can handle when it comes to delivering ultra-low latency.

Business leaders are always on the hunt for that life-changing book – the one that deepens their understanding of the workplace and provides an inspiring roadmap for the way forward. But with thousands of highly-praised books to choose from, it’s difficult to know which ones are retreading the same old ground and which contain truly groundbreaking insights. If you can relate, you’ve come to the right place.

Welcome to the concluding chapter of this three-part blog series on the low latency Ubuntu kernel for industrial embedded systems. Each blog is standalone and can be read independently from the others, although you may want to start at the beginning for some continuity. If you need a quick refresher on userland and kernel space, we recommend you check Part I out first.

VictoriaMetrics is a fast and easy-to-use monitoring solution and time series database. It integrates well with existing monitoring systems such as Grafana, Prometheus, Graphite, InfluxDB, OpenTSDB and DataDog - see these docs for details. We are glad to announce the availability of Managed VictoriaMetrics at AWS Marketplace - try it right now!

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.

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.

AIOps or Artificial Intelligence for IT Operations refers to a set of technologies that augment human decisions with autonomous decisions driven by AI and machine learning that learn patterns, relationships from data. AIOps is the term originally coined by Gartner, and pictorially illustrated in the following way.

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.

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.