The modern IT landscape consists of many distributed systems, which can pose a challenge if you are responsible for the end-to-end performance of these systems. As a platform engineer today, that is exactly what the job requires. You must juggle between dozens of tools to meet SLAs. This is why a modern solution is needed to bridge the gap between disjointed infrastructure and application stacks…and this is why the Splunk Observability platform was born.

Amazon EC2 was one of the first services available on AWS, helping propel the cloud platform into the mainstream of IT. And while EC2 instances come in a wide range of sizes and flavors to address all sorts of use cases, keeping tabs on those instances isn’t always easy. That’s why we’re excited to introduce our new EC2 monitoring solution in Grafana Cloud.

Computer vision: digital understanding of the physical world From face recognition to fire prevention, autonomous cars to medical diagnosis, the promise of video analytics has enticed technology innovators for years. Video analytics, the processing and analysing of visual data through machine learning and artificial intelligence, is perceived as a significant opportunity for edge computing.

This is the third and final blog post in a series about shifting Observability left. If you have not yet read the first two, you can find the first post here and the second post here. Observability is fundamental to modern software development, enabling developers to gain deep insights into their application’s behavior and performance.

As on-premises infrastructure and workloads increasingly migrate to the cloud, you’ve undoubtedly encountered many challenges in managing complex cloud architectures. These hurdles include juggling cost-efficiency and security to maintain a seamless, high-performance infrastructure. Navigating your cloud infrastructure landscape requires thoroughly understanding its virtualized elements—servers, software, network devices, and storage.

I am thrilled to announce a significant milestone for Qovery: the public beta release of our Google Cloud Platform (GCP) GKE Autopilot support. This marks a new chapter in our journey, following the successful integration with AWS EKS, Scaleway Kapsule, and Kubernetes. In this announcement article I'll explain what you can get out of GCP GKE Autopilot and what is coming next 👇

As you’ve probably realized by now, cloud computing isn’t the future. It is here and now. According to Gartner, global spending on public cloud services alone will surpass $725 billion by 2024. This rise in cloud computing is a great career opportunity for you. And what better way to immensely benefit from this shift than becoming a cloud engineer?

Welcome again to another BizTalk Server to Azure Integration Services blog post. In my previous blog post, I discussed how you can migrate one-way BizTalk Server routing solutions. Today, we will address another classic requirement in legacy BizTalk Server solutions.

About seventy-two percent of businesses operate in a hybrid IT environment, mixing their cloud-based services with traditional on-premises infrastructure. These hybrid environments offer many benefits, from scale, speed, and flexibility to security, cost savings, and control, blending the best of both worlds.