The latest News and Information on Cloud monitoring, security and related technologies.
Hybrid cloud architectures provide the flexibility to utilize both public and cloud environments in the same infrastructure. This enables scalability and power that is easy and cost-effective to leverage. However, an ecosystem containing components with dependencies layered across multiple clouds has its own unique challenges. Adopting a hybrid monitoring strategy doesn’t mean you need to start from scratch, but it does require a shift in focus and some additional considerations.
Azure Storage is like an all you can eat buffet, except the more you eat, the more you pay! This has provided organisations an almost limitless supply of storage, and as we all know, the more that’s available, the more we’ll use. Azure Storage has changed the way many organisations operate both in terms of availability and service.
Today, AWS announced the general availability of Amazon ECS Exec, a powerful feature to allow developers to run commands inside their ECS containers. Amazon Elastic Container Service (ECS) is a fully managed container orchestration service by Amazon Web Services. ECS allows you to organize and operate container resources on the AWS cloud, and allows you to mix Amazon EC2 and AWS Fargate workloads for high scalability.
As your Elastic usage increases and your use cases expand, it's important to know the benefits and cost savings that you can achieve by running Elasticsearch as a service. But since every Elasticsearch implementation can vary by use case and deployment model, it can be complicated to tackle on your own. So with that in mind, we are excited to share the Elastic Cloud Value Calculator.
When you want to stay ahead and on top of things in a fast-moving industry, machine learning (ML) is surely one of the trending solutions. Today, innovative companies already have leading Machine Learning tools well-integrated into their processes. In comparison, your start could seem dreadfully slow. Or maybe you just don’t have the time or resources to invest in running your own Machine Learning training infrastructure.
