A Sentaur who uses Sentry to build Sentry wanted to know where a specific service associated with an issue was being hosted in our cloud environment. This prompted us to create a new cloud data gathering feature for our Python SDK, which is available to everyone now, and not just Sentaurs.

As businesses grow, so does their need for scalable and secure data storage. For many companies, on-premises file shares have long been the preferred method of storing and sharing data. However, with the advent of cloud computing, more and more businesses are turning to cloud-based storage solutions like Azure File Storage. In this article, we will explore the challenges and solutions involved in migrating on-premises file shares to Azure File Storage.

Everyone is shifting their workloads to the cloud, but one challenge remains: Workloads need to be automated. Whether they’re employing a cloud-native, cloud server, or hybrid model—IT operations teams need to know what, when, and now also where to automate. Speaking at the recent 2022 Automation Virtual Summit, Dave Kellermanns, Global Advisor for Automation, Broadcom Software explored some lessons learned and best practices for cloud automation. Read on to see some of the highlights.

In dynamic production environments, unpredictable traffic loads and frequent code changes can make it difficult for organizations to consistently optimize their cloud infrastructure, resulting in application performance issues, latency, and wasted cloud spend. Teams that manage large-scale cloud infrastructure deployments are often forced to tune their workloads’ configurations using a complicated mesh of script jobs—or worse, manual remediation by on-call engineers prompted by alerts.

Kinesis is an Amazon Web Services (AWS) product that collects, processes, and analyzes streaming data in real-time. It can process streaming video, audio, IoT data, application logs, and other data coming in from thousands of unique sources as it arrives, unlike technologies like Hadoop, which utilize batch processing (waiting for a complete dataset to arrive before processing and analyzing it).

Microservices architecture (often shortened to microservices) is an architectural style for developing applications. Microservices allow a large application to be separated into smaller independent parts, each having its own realm of responsibility. To serve a single user request, a microservices-based application can call on many internal microservices to compose its response. It is critical to track failures in microservice to take corrective actions and keep the business process ongoing.

In today’s fast-paced business environment, downtime can have severe consequences for any organization. It can lead to lost revenue, decreased productivity, and loss of customer trust. Therefore, it is essential to ensure that your business-critical applications are always available, no matter what. This is where Azure Datacentre Redundancy comes into play.

Cloud are on the rise! User concerns about data storage security and their need for quick access to databases are driving the development of cloud technologies. At the moment, the most progressive and convenient solution is hybrid cloud storage. The significant current popularity and predicted growth in demand for hybrid cloud technologies in the near future are not just speculation. They are evidenced by research.