Operations | Monitoring | ITSM | DevOps | Cloud

If you operate in FinOps, are part of an MSP, or work for an enterprise utilizing the cloud, you’re likely familiar with the latest updates on CloudHealth after its acquisition by Broadcom. Since 2018, CloudHealth has been closely tied to the term “acquired,” initially by VMware and now by Broadcom, creating an ongoing change cycle. Clients and prospects are understandably cautious when observing CloudHealth as the climate uncertainty and instability grow.

You might be tempted to think that running an app on a public cloud means you don’t need to maintain it. While that would be wonderful, it would require help from the public cloud providers and app developers themselves, and possibly a range of mythological creatures with magic powers. This is because any app, regardless of the infrastructure on which it runs or its output, requires maintenance in order to yield accurate and reliable outputs.

Amazon Web Services (AWS) offers Fargate, a serverless container service that eliminates the need to manage underlying infrastructure. Containers ensure applications run reliably across different computing environments without the overhead of server management. Fargate works with Amazon Elastic Container Services (ECS) and Amazon Elastic Kubernetes Service (EKS). It allows developers to focus on building their applications, offering enhanced security through isolation.

Resources to learn generative AI concepts and how to leverage it to enhance your operational efficiency as an SRE.

In the realm of modern business, the cloud reigns supreme. Countless organizations rely on cloud infrastructure s for core operations, from storing sensitive data to running critical applications. However, with this reliance comes a vital responsibility: safeguarding your cloud environment against ever-evolving security threats.

Do you need a “Cloud Exit Strategy”?. In recent years, cloud services have become an integral part of the digital infrastructure for businesses of all sizes. Organizations are increasingly leveraging cloud computing to enhance their operations.

In this blog series we are examining the Five Myths of Apache Spark Optimization. So far we’ve looked at Myth 1: Observability and Monitoring and Myth 2: Cluster Autoscaling. Stay tuned for the entire series! The third myth addresses another common assumption of many Spark users: Choosing the right instances will eliminate waste in a cluster.

Cloud computing provides significant benefits over on-premises computing, including the ability to expand operations without purchasing new hardware. But there’s more. With cloud computing, you can adjust compute resources to meet changing demands. For example, you can buy extra online storage for your chatbot system as you receive increasing customer inquiries over time. You’d pay for as much online storage as you use.