For the majority of the first year that we worked on the Loki project, the questions and feedback seemed to come from people who were familiar with Prometheus. After all, Loki is like Prometheus – but for logs! Recently, however, we are seeing more people trying out Loki who have no Prometheus experience, and many are coming from systems with much different strategies for working with logs.
On the surface, food delivery service seems straightforward. However, creating a food delivery startup is more like building a transportation and logistics company than pizza delivery. Coordinating web and mobile applications for seamless ordering, tracking, and delivery, all within razor-thin service windows, takes an unprecedented level of complexity (when you get it right). And once you begin to scale service, the technical challenges become even greater.
Launching a production app onto the cloud is a big task with a ton of tiny sub-tasks, and it can all be pretty overwhelming. We're here for you. We've launched an app ourselves (Blue Matador, our cloud infrastructure monitoring software). In the coming weeks, we will walk you through everything you need to know and do to successfully launch your app—with the least amount of effort.
We've all been there. You're clicking around your Rails application, and it just isn't as snappy as it used to be. You start searching for a quick-fix and find a lot of talk about caching. Take your existing app, add some caching, and voila, a performance boost with minimal code changes. However, it's not this simple. Like most quick fixes, caching can have long-term costs.
In January, AWS announced the ability to export RDS snapshots to S3. This new feature allows you to export your RDS data to S3 buckets in Apache Parquet format. Today, I’m happy to say that we’ve added a new action to help with this feature: Export RDS Snapshots. This new action will automate the process of exporting RDS snapshots to S3 on a daily basis.
An AWS Auto Scaling group (ASG) is a fleet of EC2 instances that can scale up or down depending on application demand. The elasticity of Auto Scaling groups makes them highly-attractive options for enterprises who do not want to invest in purchasing expensive hardware only to respond to sudden or temporary spikes in application demand.
