Amazon ECS allows you to easily run containers in AWS in units called tasks. Groups of identical tasks are called services, and groups of services running on the same infrastructure are called clusters. Since it is critical to the health of your application, properly monitoring ECS is a top priority for most teams. In this blog post, we will go over how Blue Matador monitors ECS tasks automatically and without configuration.
Redshift is a fast, managed, data warehouse solution that's part of AWS. Although it is traditional SQL and meant for BI (Business Intelligence), it is designed for scalability and can support many workloads typically reserved for Big Data tools. It is protocol-compatible with PostgreSQL and is available through JDBC/ODBC, opening it up to a huge range of existing SQL tools.
Kubernetes is the defacto solution for production-ready container orchestration in 2019. Organizations of any size are able to take advantage of Kubernetes’ quick setup, feature-rich API, and growing community to deliver value quickly and at scale. Since Kubernetes is central to many infrastructures, properly monitoring your Kubernetes clusters is critical. In this post, we will go over how Blue Matador monitors each piece of your Kubernetes cluster automatically.
Once you’ve hired a software engineer, it’s easy to feel like the recruiting process is over. However, the first few days and weeks of your new engineer’s experience are critical to their long term success and happiness at your startup. In this last part of our series on hiring software engineers as the CTO of a startup, we’ll talk about how we onboard software engineers at Blue Matador and the insights I’ve gained in this part of the CTO experience.
When you find a software engineer who passes your code test, you’ll want to bring them in for an in-office interview. In this part of our series on hiring software engineers as the CTO of a startup, we’ll talk about Blue Matador’s approach to the in-office interview and the insights I’ve gained in this part of the CTO experience.
Once you’ve got software engineers applying for your job opening, you’ll need to determine who is good enough to interview, and who is not. Additionally, you’ll want to make sure the time investment made by you and your team has a high return on investment. In this part of our series on hiring software engineers as the CTO of a startup, we’ll talk about Blue Matador’s approach to the screening process and the insights I’ve gained in this part of this CTO experience.
A great job listing is critical to attracting the sort of talent you’re looking for. Including the right information and setting good expectations about the type of position you’re offering not only turns away unqualified applicants, but can also excite the type of person you’re seeking.
At some point, your startup will scale to the point that you need additional help building your product, and as the CTO, it’s up to you to find, hire, and onboard new software engineers. This process is intimidating because engineering hires are critical to the success or failure of your startup. In this series, we’ll talk about Blue Matador’s approach to the hiring process as well as the insights I’ve gained as CTO. This first post will cover when and who to hire.
AWS Lambda is one of AWS’s most popular cloud services. It allows serverless applications to be built by dividing up an application into functions that can be triggered by changes in your system. Since they are critical to the health of your application, properly monitoring Lambda functions is a top priority for most teams. In this blog post, we will go over how Blue Matador monitors Lambda functions automatically and without configuration. We will cover the following topics:
