Operations | Monitoring | ITSM | DevOps | Cloud

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.

DevOps gained popularity in order to combat siloed workflows, decreased collaboration and a lack of visibility across the software development lifecycle. While establishing a culture of DevOps has helped teams collaborate better and deliver reliable software faster, DevOps teams don’t necessarily have someone specifically dedicated to developing systems that increase site reliability and performance. That’s where a site reliability engineer (SRE) comes into the picture.

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.

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.

Welcome to this three-part blog series on real-time Linux. Throughout the series, we will assess the key features of a real-time system. We will understand how a real-time capable Linux kernel differs from mainline, and touch upon the performance trade-offs you should consider when choosing real-time versus a low-latency kernel, for instance.

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.

Developer environments can streamline testing, and can encourage experimentation and creativity from engineers and non-engineers alike. In this article, we’ll take a look at the pros and cons of developer environments, and dive into best practices for those who adopt them.