Operations | Monitoring | ITSM | DevOps | Cloud

Today I will speak about another important Best practice, Tips, and Tricks that you must consider while designing your business processes (Logic Apps): Retry Policies. And how you should be aware of and configure it properly.

Enterprises that want to improve the performance of their network often look into limiting access to bandwidth-hogs such as social media and video streaming applications. But for those that really need to gain efficient network, this won’t be enough. You need to keep track of bandwidth usage regularly. While there are many tools to help you check bandwidth usage on network, sometimes finding KPIs specific to your organization can be painstaking.

Scaling up your development organization typically involves spreading development across multiple locations around the globe. One of the key challenges with multisite development is ensuring reliable access to required software packages and artifacts for teams collaborating across time zones. The JFrog Software Supply Chain Platform solves this challenge with federated repositories in JFrog Artifactory.

Distributed Tracing, combined with end-to-end monitoring, lets organizations keep track of their business transactions and receive alerts when anomalies happen. End-to-end monitoring benefits business users and functional administrators more than developers and technical administrators. Nowadays, for developing integration solutions, microservice architectures are becoming the norm. A solution based on such an architecture relies on different services that shape a specific solution together.

Azure Storage is a cloud-based storage solution that provides secure, scalable, and highly available storage for your data. It is a crucial component of Microsoft’s Azure cloud platform, providing various storage services, including Blob Storage, File Storage, Queue Storage, Table Storage, and Archive Storage. In this article, we’ll take a deep dive into Azure Storage and discuss 90 things you may not know about it.

Artificial Intelligence (AI) has become a buzzword in recent years. From chatbots to self-driving cars, AI has transformed how we live, work, and interact with the world around us. AI technology has been deployed across various sectors, including healthcare, finance, manufacturing, and more, to improve efficiency, accuracy, and decision-making capabilities. However, as AI systems become more complex, monitoring them to ensure optimal performance and prevent issues or errors becomes crucial.