Operations | Monitoring | ITSM | DevOps | Cloud

Gartner forecasts that worldwide end-user spending on public cloud services will grow 20.7% from $490.3 billion in 2022 to $591.8 billion in 2023. By 2026, the Public Cloud market will double its size today to $1 trillion, also predicted by Gartner. AWS, Microsoft Azure, and Google Cloud all maintained double-digit growth in Q4 2022, especially Google Cloud grew 32% to $7.32 billion. CDN giant Akamai also unveiled Akamai Connected Cloud and New Cloud Computing Services on Feb 14, 2023.

System Center Configuration Manager (SCCM) is an enterprise-level tool that allows IT administrators to manage software and updates on a large number of devices. However, sometimes users encounter an issue where the software center in SCCM cannot be loaded. This error can prevent users from accessing software, updates, and other features, causing frustration and productivity loss.

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.

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.