Operations | Monitoring | ITSM | DevOps | Cloud

Google Cloud Platform (GCP) offers a wide range of features to support their core deliverable, highly available and scalable infrastructure-as-a-service. One of the features—GCP’s log management and available via GCP Log Explorer— is offered to support customers’ basic logging requirements.

Since its inception, Amazon Elastic Container Service (ECS) has emerged as a strong choice for developers aiming to efficiently deploy, manage, and scale containerized applications on AWS cloud. By abstracting the complexities associated with container orchestration, ECS allows teams to focus on application development, while handling the underlying infrastructure, load balancing, and service discovery requirements.

Hyper-V has rapidly become an indispensable tool in the system administrator’s toolkit. Not only does it provide a robust, feature-rich platform for virtualization, but it also seamlessly integrates with Windows Server, making it a must-have for any Windows-based enterprise environment. As a system administrator, you’ve probably realized that managing Hyper-V manually through its GUI can be time-consuming.

Cloud Tagging should be automated, not left to humans. Optimization in the cloud is actually really simple. Here’s how we get our customers thinking differently which in turn makes them successful. “To your developers the cloud is like a candy store is to a kid where all the candy is free”. Just as parents need to teach their kids the value of money, you need to teach your developers the value of cloud spend.

You’ve loaded data into Densify and after reviewing recommendations your developers don’t want to take the recommended action – they aren’t trusting, yet. This is one of the top issues identified by the FinOps Foundation and many of our customers of Densify – but not all. Let’s explore what some customers do differently to build organizational trust in taking optimization recommendations.

In our world that's always changing, making and launching apps quickly is important. Whether your business is big or small, turning new ideas into working apps is key to success. That's where Heroku comes in.

Vertex AI is Google’s platform offering AI and machine learning computing as a service—enabling users to train and deploy machine learning (ML) models and AI applications in the cloud. In June 2023, Google added generative AI support to Vertex AI, so users can test, tune, and deploy Google’s large language models (LLMs) for use in their applications.

I recently worked on a customer project to migrate an in-house application to the cloud, using a shift-left monitoring and testing strategy. The original application was developed with LAMP architecture and was being migrated to Spring Boot to modernize it and then run it on the cloud. I was fortunate to be part of the conversation during the day-0 talks. Not all IT managers do this.