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The latest News and Information on Cloud monitoring, security and related technologies.

AI on Public Cloud with Open Source

AI is at the heart of a revolution in the technology space. Organisations from all industries are looking for ways to put AI to work. Once they have finalised use case assessment, their next question is typically related to the environment they will use to develop and deploy their AI initiatives. They often prefer the public clouds as an initial environment, because of the computing power and ability to scale as projects mature. In addition to the infrastructure, enterprises need software where they can develop and deploy the machine learning models.

Overcoming Azure Service Bus Monitoring Challenges

Monitoring Azure Service Bus (SB) comes with its own set of challenges, primarily due to the distributed nature of the service and the complexities involved in message processing and delivery. Some of the most common challenges associated with monitoring Azure SB include: Message Flow Monitoring: Tracking the flow of messages through various queues or topics, including understanding where bottlenecks might occur or where messages might be delayed.

Tailored Azure cost savings notification and alerts

When an organization attempts to reduce costs immediately, one of its go-to options is to look into the Azure advisor recommendations and take action on them. However, the biggest challenge for many customers is that they often do not know there are saving insights available to take advantage of and reduce thousands of dollars per year in Azure bills. This is because of a few reasons, as defined below;

Resiliency is different on AWS: Here's how to manage it

There’s a common misconception about running workloads in the cloud: the cloud provider is responsible for reliability. After all, they’re hosting the infrastructure, services, and APIs. That leaves little else for their customers to manage, other than the workloads themselves…right?

Empower engineers to take ownership of Google Cloud costs with Datadog

Google Cloud provides a wide range of services and tools to help engineering teams reduce the complexity of migrating and deploying applications in the cloud. As engineering teams work to improve the performance, reliability, and security of their applications, they also need to be conscious of cloud costs. But engineers often don’t have access to cost data, or they only see cost data in monthly reports.

The Evolution Of Cloud Cost Optimization Over The Last Decade

Over the past decade, the cloud computing landscape has transformed remarkably, evolving from a nascent technology into a fundamental component of modern digital infrastructure. As the technology has evolved, so too has the need to develop complex cost optimization strategies. A decade ago, businesses grappled with the complexities of brand-new cloud services, often facing challenges in managing costs due to opaque pricing models and a limited understanding of cloud economics.

20 Best Cloud Monitoring Tools to Optimize Performance & Revenue

As of 2023, 89% of companies rely on a multi-cloud approach. Operating in the cloud is no longer a plus but a competitive necessity. Migrating from a fully on-prem to a hybrid or fully cloud environment isn’t exactly easy though, especially given the impenetrability of cloud data. Cloud monitoring enables your company to be proactive about its cloud services, ensuring that availability, security, performance, and other aspects are all up to par before reaching the end-user.

AI's Role In Streamlining Kubernetes Operations For Better Cost Management

While many of us have already heard of Kubernetes, or may even be leveraging it within our technology stacks, it’s still important to remember that the platform is undergoing massive adoption and evolvement. Due to its relative infancy, Kubernetes is ripe to allow for integrating new technologies, like Artificial Intelligence (AI) and Machine Learning (ML). As an open-source platform, Kubernetes orchestrates containerized applications, ensuring they run efficiently and resiliently.