Operations | Monitoring | ITSM | DevOps | Cloud

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!

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.

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.

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.