Operations | Monitoring | ITSM | DevOps | Cloud

Performance tests, end-to-end tests, integration tests. There are many different types of tests you can run on your infrastructure. One of the most overlooked kinds is load testing. Failure to include load tests in your supply chain can be detrimental, as you will be missing out on a number of benefits. Some of the big advantages of load testing Kubernetes are.

The future is AI. That’s a fact, and all the major cloud corporations are taking notice and investing in generative AI offerings to serve their customers better. Microsoft Azure has invested in OpenAI‘s ChatGPT, Google has Vertex AI, and Amazon has created Bedrock. But what exactly is AWS Bedrock? And, most importantly, how much will it cost? Will this generative AI be an easy investment, or will you have to break the budget to squeeze it in?

Did you know that by 2030, the number of IoT (Internet of Things) devices is expected to reach a staggering 40 billion? To put that into perspective, that’s nearly double the 16 billion connected devices reported in 2023. This explosive growth is transforming industries, but it also raises a critical question: how do we efficiently manage such a vast and growing network of devices? If we think about how businesses do it, the answer is clear: with comprehensive IoT Device Management.

Internet of Things (IOT) technology has become an integral part of our lives, powering everything from smart homes to advanced business operations. With 18 billion connected IoT devices projected by the end of 2024, its importance is undeniable. But while IoT opens doors to innovation, replacing these devices can be expensive. That’s where IoT Update Management comes into play—ensuring your devices stay secure, functional, and cost-effective over time.

Learn how to integrate gRPC with OpenTelemetry for better observability, performance, and reliability in microservices architectures.

The importance of artificial intelligence in driving business success has never been clearer. Yet, for too long advanced AI capabilities have been the preserve of tech giants and well-funded enterprises. This concentration of resources has created inequality that threatens to leave many businesses behind. But the importance of democratizing AI access extends far beyond individual company success - it's about fostering a vibrant, competitive ecosystem where innovations can emerge from unexpected places.