Operations | Monitoring | ITSM | DevOps | Cloud

The ability to continue business operations for the foreseeable future is a key metric from a financial standpoint. But from a risk management perspective, all dimensions of an organization’s strategic and operational framework must be analyzed in order to… The last part relates to business resilience — and it’s what we’re going to explore here. (This article was written by Joseph Nduhiu. See more of Joseph’s contributions to Splunk Learn.)

Today I’m going to speak about another important Best practice, Tips and Tricks that you need to consider while designing your business processes (Logic Apps): Moving or Organizing shapes inside Visual Studio Logic App designer.

In order to better manage complex IT environments and comply with burgeoning regulations, financial services organizations must learn how to proactively manage disruptive internal and external issues and develop policies to prevent them happening again. The reason? The pace of change is rapidly increasing while the size of business-necessary components is shrinking.

In the world of enterprise major incident management, integrating partial or full automation across each stage of the incident response and management lifecycle makes a big difference to the speed incidents are addressed and the data you have to understand them afterward. Gartner coined the term “Incident Response Automation” in its 2020 report Automate Incident Response to Enhance Incident Management.

As an open-source container management system, the Kubernetes (commonly referred to as K8s) platform’s constant growth warrants an intricate cluster network, making it challenging to gain system-wide visibility. Even a tiny disruption within the network could collapse the entire operation, resulting in the failure of dependent applications. Businesses that rely on such containerized applications may experience a huge impact in revenue.

Find out how Apache Kafka® and Apache Flink® allow you to move from batch processing to streaming, but keep using SQL in the data pipeline.

As more and more applications move to the cloud, it becomes increasingly important to design them for high availability, scalability, and reliability. One of the key components of building such applications is message queuing, which allows you to send and receive messages between different parts of your application. Azure Queues is a service provided by Microsoft Azure that enables developers to build highly scalable and distributed applications that can handle large volumes of messages.