Operations | Monitoring | ITSM | DevOps | Cloud

Somewhere lost in the noise of ‘faster’ and ‘better’ marketing messaging around Wi-Fi in the last few years, there were also some genuine transformations in what Wi-Fi is capable of. And what’s on the horizon maybe some of the most significant improvements since the inception of Wi-Fi itself. Let’s look at where Wi-Fi is at, what big changes have happened, and where we’re going next in the land of Wi-Fi technology.

Observability originated in the field of engineering and has recently gained popularity in the world of software development. Put simply, observability refers to the ability to understand the internal state of a system based on its external outputs. IBM defines it as follows: As systems have become more complex, often including remote elements in cloud-based systems, management of the systems and troubleshooting faults and downtime have also become more complex.

In today’s fast-paced world of software development, DevOps professionals strive to provide high-quality and dependable services for their users. An essential aspect of achieving this objective is understanding and effectively managing service level indicators (SLIs), service level objectives (SLOs) and service level agreements (SLAs). These metrics help guarantee that a service meets its performance and reliability targets.

Azure Data Factory is a cloud-based data integration tool focusing on data extraction, transformation, and loading. A pipeline in Azure Data Factory is a collection of processes that move data to a shared repository, such as a data warehouse. Why it is important to monitor Azure Data Factory pipeline failures?

Docker is a well-known open-source platform that is predominantly employed to bundle applications and their dependent components into containers for easy development and deployment. Docker is lightweight and efficient in resource consumption by operating as an executable packaged software with all the necessary framework, libraries, code, runtime, and files required to run an application.

Site reliability engineering (SRE) is a critical discipline that focuses on ensuring the continuous availability and performance of modern systems and applications. One of the most vital aspects of SRE is incident response, a structured process for identifying, assessing, and resolving system incidents that can lead to downtime, revenue loss, and brand reputation damage.

MySQL, a leading open source database for the past few decades, underpins potentially millions of applications, from tiny prototypes to internet-scale e-commerce solutions. The beauty of MySQL is not only its powerful relational database capabilities but also that it can be scaled up as the application grows. Why should you care about MySQL performance? Because MySQL is the backbone of many applications, your application performance will be inherently tied to your MySQL database performance.

Automated Incident Management is the process of automating some or all these tasks through various means. Automated incident management can improve incident response time, reduce unnecessary work, such as when an issue is a minimal impact. AlertOps can help automate incident management by creating tickets in help desk systems, filtering and rules, and escalating alerts.