Earlier this month, I had the pleasure of traveling to Nuremberg, Germany to attend Embedded World. If you have not heard about it before, Embedded World1 is the largest trade show in the embedded systems industry. This year, over 35,000 people attended and 1,100 businesses exhibited at the Nuremberg Messe.

Deploying software to your internal systems or sending releases to external customers is a process that ideally follows strong security requirements in an end-to-end manner. In a perfect world, every software release should come with at least the following guarantees In the world of CI/CD we are mostly interested in binary artifacts and how they were created all the way from the initial release up until they reach production.

Code reviews can quickly become code catch-ups – you’re sifting through countless commits, trying to understand the story behind a particular piece of code. Who made this change? When was this pushed? Which files were modified? These blockers can make code reviews feel like wasted time digging through the project’s commit history. That’s where GitLens comes into play, providing powerful Git functionalities right into VS Code.

In the digital age, transparency and communication are key to customer satisfaction and operational efficiency, especially during downtime or degraded performance. This is where the importance of a status page comes into play, helping organizations effectively automate these communications, particularly through the use of status page APIs.

In the last years, Kubernetes has grown tremendously and is considered by most companies to be the best platform to run applications today. In simple words, Kubernetes is an open-source container orchestration platform that allows you to run and manage containerized applications at scale. In this article, I will explain how you can run Kubernetes on AWS in 3 different ways. But before getting down the road, let me explain why it does make sense to run Kubernetes on AWS.

Without collaborations between organizations, the tech industry wouldn’t be where it is today. Customer expectations and needs don’t exist in a silo. They need their tools to work together to solve problems and deliver value regardless of the vendor. With data growth at a 28% CAGR and cybersecurity threats on the rise, customers need their entire suite of tools working for them in a cohesive manner.

In recent years, sustainability has become a top priority for industries worldwide, and the data centre sector is no exception. As governments strive to reduce carbon footprints and mitigate climate change, regulatory directives such as the Energy Efficiency Directive (EED) and the Corporate Sustainability Reporting Directive (CSRD) are playing a crucial role in reshaping how data centres operate and manage their environmental impact.

Network Address Translation Gateway or NAT Gateway is a managed service provided by Amazon Web Services(AWS) that allows instances in a private Subnet within a Virtual Private Cloud(VPC) to connect services outside the VPC. NAT ensures that even though your instances can connect to the outside world, outside services can’t establish a direct connection with them. It’s a tool that secures the instances, simplifies network architecture, and reduces administrative overhead.

In today's rapidly evolving digital landscape, efficient management of virtualized environments is crucial for businesses to maintain operational excellence and a competitive advantage. These virtualized environments are the foundation of most private cloud initiatives. OpsRamp, a leading provider of digital operations management solutions and a Hewlett Packard Enterprise company, offers a comprehensive set of capabilities tailored to streamline virtualization management.

Just a few years back, developing AI/ML (Machine Learning) models was a secluded endeavor, primarily undertaken by small teams of developers and data scientists away from public scrutiny. However, with the surge in GenAI/LLMs, open-source models, and ML development tools, there’s been a significant democratization of model creation, with more developers and organizations engaging in ML model development than ever before.