Kubernetes is THE buzzword these days. Almost every IT organization is currently using it or is in the process of implementing it as part of their infrastructure. The transition to Kubernetes is complicated, whether a company is using an on-premises, cloud, hybrid, or managed solution, and it usually involves other changes in the codebase, such as shifting to a microservices architecture. While the implementation phase is led by the DevOps team, it requires the participation of the whole R&D group.

Mac usage, as you’ve probably seen in your workplace, has risen exponentially in enterprises. According to a Jamf survey, 74 percent of those who previously used a PC for work experience fewer issues now that they use a Mac. Just like you’ve been watching the rapid rise of Macs in enterprises, so have attackers—the ones wreaking havoc in enterprises through malware attacks.

It’s 3am, and you’re woken up by frantic calls and messages from users at your company—this is the everyday life of a sysadmin. Constantly surrounded by numerous tickets and persistent users who require immediate solutions, the life of a sysadmin is not a bed of roses. Their tasks are not limited to server management, maintenance, and repair, but also completely supporting a smoothly running production environment with minimal or no complaints from end users.

Whether it’s a computer game, IoT device, or high-performance backend, chances are you’re using a native language to develop this application. Hands down, by far the most popular choices today for native application development are C and C++. Okay, maybe not the most popular, but definitely the most prevalent. Some might even say “inevitable.”

SaaS customers today expect the highest levels of compliance standards when securing their data and ensuring that vendors meet their data confidentiality and privacy needs. An independent validation of security and availability controls becomes more crucial for those in highly regulated industries.

Python performance measurement tools help us to identify performance bottlenecks in our app. This allows us to focus on the business logic as opposed to writing custom code, setting it up with our app, and then figuring out whether the results are accurate enough. These tools are well tested by the open source community and used by many companies to measure the performance of their web apps.

The article, Serverless API with ReactJS, was first published on the Serverless Guru website. Let’s build a Serverless REST API for our ReactJS website! In my last article, Deploy ReactJS App with S3 Static Hosting, we discussed hosting a simple React app on AWS with S3. This works great for simple static pages but what if you want to do something more? How do you host your API on S3?

It’s an exciting time here at Honeycomb HQ—today, we’re thrilled to announce our recent fundraise led by Scale Venture Partners, and to welcome Ariel Tseitlin to our board.

In theory, Honeycomb is always up. Our servers run without hiccups, our user interface loads rapidly and is highly responsive, and our query engine is lightning fast. In practice, this isn’t always perfectly the case — and dedicated readers of this blog have learned about how we use those experiences to improve the product.

Application performance monitoring (APM) dovetails nicely with infrastructure monitoring, allowing you to monitor app performance and end-user satisfaction in context with the rest of your infrastructure. That’s why we unveiled Datadog APM to complement our infrastructure monitoring platform and provide full-stack observability.