Have you ever had to set up and/or maintain a local development environment using Docker that mirrors your production environment as much as possible? Setting-up and supporting such a docker-based local environment is no easy feat! Common problems include: performance issues, broken dependencies, broken relationships between your services and uncontrolled updates of your docker images, among many other issues. So, the question is, what can we do about that?

Have you ever had to set up and/or maintain a local development environment using Docker that mirrors your production environment as much as possible? Setting-up and supporting such a docker-based local environment is no easy feat! Common problems include performance issues, broken dependencies, broken relationships between your services and uncontrolled updates of your docker images, among many other issues. So, the question is, what can we do about that?

The best thing about moving into a new home is getting to call it your own. But the second-best thing is coming up with a funny wifi name you can tell your friends about. As people say, “home is where the wifi connects automatically!” And you certainly shouldn't leave its name up to chance. While setting up your internet is one of the first things you do after moving, simply connecting to a random scramble of characters does not feel very personal, does it?

With Eco’s automated reservation management, maximizing savings on your cloud bill and increasing your team’s bandwidth is easy. The new dashboard now includes responsive modular components and an improved commitment filter, so tracking savings and monitoring your environment is even easier.

The thermostat for the first floor of my house is located right behind me in my home office. I probably walk by it a dozen times a day, but I only look at it if I am feeling cold or warm to check to see if the temperature is set to the correct value. In Massachusetts, hot and cold are seasonal but can vary a lot day to day so checking occurs more often than you would think.

In 2020, remote work exploded with the start of COVID-19 as businesses scrambled to stay productive and competitive amidst health concerns and quarantines. During the pandemic, close to 70% of workers were working from home. Currently, 4.7 million people work remotely at least half the time in the US, and 62% of workers claim to work remotely at least occasionally.

Amazon SageMaker makes it easy to prepare data for machine learning (ML) and then train, deploy, and modify ML models. SageMaker is a fully managed service that automates much of the ML lifecycle. So, if you want a single partner to help you through all stages of your Artificial Intelligence (AI) lifecycle, SageMaker might be the answer. Perhaps more important for this post is the promise that Amazon SageMaker can reduce your machine learning model costs. But does SageMaker pricing reflect this?