In this episode, we explore distributed tracing in microservices architecture, covering how it enhances observability and helps quickly identify issues in large-scale systems. We discuss the basics of distributed tracing, practical tips for implementation, and the benefits of tools like Google Cloud Trace. Perfect for developers looking to improve system performance and streamline their debugging process.
Distributed Tracing at ScaleCloud computing has become the new standard for companies on which to run their operations. The rapid increase in the use of cloud technology has made it a major contributor to global carbon emissions, surpassing even the aviation industry. We recognize the urgency and responsibility to find innovative ways to optimize cloud computing and reduce its environmental impact.
Reducing the Cloud Carbon Footprint of bol.It has been a while since we touched moving to the cloud as a topic. Finding a good trajectory to the cloud isn't always trivial. Not all technologies that we decided to use in the last 10 years have a beaten path to the cloud.
Elastic Search to the CloudDDoS attacks, malicious attempts to disrupt normal traffic, can be countered in different ways. Dependent on the type of attack one or more valid solutions are available. However, in the e-commerce field, we found out we needed a specific solution for one type of attack. We created this washing solution based on AI and Cloud native solutions.
DDoS - specific attacks require AI powered washing solutionsWhy build an open-source FTP server in Rust? Sometimes, I must admit I’m a little dazzled by all the languages, frameworks and stuff our engineers work with. So, when our guest of today explained to me some of the intriguing...
Why would you build an open source FTP server in Rust?Monitoring your infrastructure is key for keeping production workloads healthy and to debug issues when things are going bad. And like Peter Drucker once said: “if you can measure, you can manage”. At bol.
How to: validate your app's metrics on a local Grafana instanceNext level leveraging cloud computing We moved 70% of our services to the cloud and new services start in the cloud unless. . .
Maximize cloud benefitsIn this blog, we show you how to automatically scale your application resources according to either the CPU consumption or to the incoming load of your application. Background As humans, we are capable of adapting to variable inputs and situations. Some of us are slower, whereas others easily adapt to change.
HPA: how it can save you headaches and moneyIntroduction At bol. com we have two main ways of running our applications. We can deploy them in a Datacenter (DC) managed by us or we can run them on Google Cloud Platform (GCP).
Moving to the cloud? Don't let your application become a downer!Introduction Weaving a Service Mesh for Multiple Clusters at bol. com - that was the title for the presentation our guests gave during the virtual KubeCon and CloudNativeCon 2020 earlier this year. This triggered our curiosity.
Service Mesh - a must have for a dynamic infrastructure
