Nowadays, when most people think about the term “machine learning,” they think of advanced, refined applications such as Chat-GPT, the chatbot-based deep learning text generator, or AlphaGo, the computer program that’s currently the “world's best player” of the board game Go.
Serverless developers are undoubtedly familiar with the challenge of cold starts, which describe spikes in latency caused by new function containers being initialized in response to increasing traffic. Though cold starts are usually rare in production deployments, it’s still important to understand their causes and how to mitigate their impact on your workload.
It’s no secret that we’re experiencing a talent shortage in the tech industry. At the same time, the automation of many jobs is near. It’s easy to assume these two realities mitigate each other, but the situation is much more complex. Although automation may replace millions of low-skill jobs, it will create millions of jobs that require skilled tech workers, according to a report by consulting company BCG.
The default pod provisioning mechanism in Kubernetes has a substantial attack surface, making it susceptible to malevolent exploits and container breakouts. To achieve effective runtime security, your containerized workloads in Kubernetes require multi-layer process monitoring within the container.
Migrating your workloads to the cloud can bring some undeniable benefits to your organisation. For example, you can leverage cloud automation to significantly improve your time to market. You can also benefit from the ever increasing number of cloud regions to place your workloads close to your clients. This improves the response time of your services and, as a result, your customers’ satisfaction.
The MongoDB document-oriented database is one of the most popular database tools available today. Developed as an open-source project, MongoDB is highly scalable and can be set up in your environment in just a few simple steps. When running and managing databases, monitoring is a key requirement.
Content As we already discussed in previous articles, the Kubernetes control plane is made up of a few key components playing different roles. Those are necessary to ensure both Kubernetes and applications are functional and behaving properly.
The current state of the economy has left many companies in a state of uncertainty, with 58% of business leaders feeling the pressure of too many initiatives to be supported without the right resources. While these companies look for ways to stay competitive and, in many instances, to accomplish more with less, compromising on delivering high-quality experiences is not an option, particularly in a world where fast, seamless digital experiences have become the norm.
