Operations | Monitoring | ITSM | DevOps | Cloud

Out of more than 100 services that Amazon Web Services (AWS) provides, Amazon CloudWatch was one of the earliest services provided by AWS. CloudWatch was announced on May 17th, 2009, and it was the 7th service released after S3, SQS, SimpleDB, EBS, EC2, and EMR. AWS CloudWatch is a suite of tools that encompasses a wide range of cloud resources, including collecting logs and metrics; monitoring; visualization and alerting; and automated action in response to operational health changes.

Personalized Service Health sends custom granular alerts about Google Cloud service disruptions, and integrates with incident management tooling.

Amazon Elastic Container Service (ECS) is a versatile platform that enables developers to build scalable and resilient applications using containers. However, containerized services, like Node.js applications, may face challenges like memory leaks, which can result in container crashes. In this blog post, we’ll delve into the process of identifying and addressing memory leaks in Node.js containers running on ECS. First, let’s look closer at what a memory leak is.

The post-pandemic world has transformed our work habits and the landscape of conducting business. Organizations now take the hybrid approach to work, wherein employees may work from an office, while travelling, or from a remote location. This fundamental shift has accelerated the pace of cloud adoption, as the cloud makes data access possible from anyplace, anytime. But the cloud brings with it a set of complexities that must be managed.

Picture this. Over 90% of organizations use the cloud in one form or another, according to O'Reiley's research. Cloud computing is so popular because of its flexibility. Because you can access cloud computing resources on-demand, you can automatically increase or decrease resource usage depending on your workload, which is incredibly appealing — and quite different from traditional IT infrastructure. In 2023, controlling cloud spend is one of the greatest challenges for cloud users today.

Data management and transfer are essential components of the digital era. Whether you are an IT professional, a developer, or simply someone looking to move large amounts of data to the cloud, the efficiency and reliability of the process are paramount. That’s where AzCopy comes into the picture.

In this article, we will explore Azure Distributed Transaction Performance Monitoring using Serverless360’s new feature called BAM Duration Monitoring. Our primary focus will be effectively monitoring a long-running business process implemented using the dynamic combination of Logic Apps and Data Factory.

Modern businesses are constantly looking for more efficiency and better performance in their daily operations. This is why embracing cloud computing has become necessary for many businesses. However, while there are numerous benefits to utilizing cloud technology, obstacles can get in the way. Managing a cloud environment can quickly overwhelm organizations with new complexities.