Out of the box monitoring solutions are getting more and more difficult to implement. In addition, they may not have the features you need, and they’re always becoming more expensive. It’s no wonder you’re trying to create a cost-effective solution via infrastructure monitoring cost management on your own by using a combination of your on-site development talent and a few open-source libraries.

According to research by small business marketing platform, FiveStars, customer visits to local businesses in the U.S. and Canada dropped by 70 percent between March 8 and April 12. It doesn’t take a statistician to realize that losing that many customers in one month represents a serious blow. But not every mom and pop shop is collapsing. With a significant amount of determination, creativity, and reskilling, some small businesses have found unique ways to reach their customers despite the chaos.

Codefresh has now added support for Docker Buildkit. If you don’t know what Buildkit is, and you’d like to learn more, read on! Otherwise, you can skip to the example.

Whether you’re a developer debugging an application or on the DevOps team monitoring applications across several production clusters, logs are the lifeblood of the IT organization. And if you run on top of Google Kubernetes Engine (GKE), you can use Cloud Logging, one of the many services integrated into GKE, to find that useful information. Cloud Logging, and its companion tool Cloud Monitoring, are full featured products that are both deeply integrated into GKE.

On Friday, AWS announced discounted prices for Standard RIs and EC2 Instance Savings Plans for both 1 year and 3-year terms. The discount covers the most used the latest generation instance families, C5, R5, M5, T3, Z1, and A1. The discounts range from 2% up to 18% in additional savings across multiple regions and are available immediately for purchase.

When applications are deployed in the production environment, developers expect them to work smoothly without any performance issues. However, applications often experience unexpected bottlenecks, making it crucial to monitor applications. One of the simplest ways to monitor a C# application is to emit, save, and index log data for search, analysis, and troubleshooting. We’ll discuss how you can monitor your applications while making the most of C# logging.

JFrog CLI now supports autocomplete for both bash and zsh, allowing you to get your work done faster. With this functionality, you can now simply start typing your Bash and zsh commands and the CLI client will provide you with possible options to use. You can scroll through the options using tab. JFrog CLI helps simplify your automation work with the JFrog solutions. For example, using CLI with JFrog Distribution workflows to manage your software releases in a centralized platform.

With every personality assessment I’ve taken, it turns out I’m a scary amount extrovert. I enjoy being around people, I de-stress by being with people, and I rarely spend time alone. My work environment changed drastically amidst the COVID-19 pandemic, where I found myself working from home entirely and my social life becoming non-existent (hooray social distancing!). In the time I’ve spent alone, here are a few things that have helped me stay sane while working remotely.

From the development and operations side, launching a new software application can be quite challenging. Deciding which tools to use, how to organize the task pipeline, managing collaboration among team members, monitoring performance and potential issues after launch, etc. It’s not easy to get it done right. Dashbird recently went through all of this. Behind the scenes, our amazing development team worked really hard to overcome all challenges and deliver the best value to our users.

Gartner defines edge computing as solutions that facilitate data processing at or near the source of data generation. In this context edge computing is a key consideration while planning your digital business roadmap. Many scenarios like autonomous driving cars and industrial equipment monitoring systems have very low latency tolerance. Large volumes of data are collected and analyzed instantaneously to take action. Even a delay of milliseconds renders the data stale and useless.