Operations | Monitoring | ITSM | DevOps | Cloud

Network monitoring is the process of continuously scrutinizing a computer network for failures or deficiencies to ensure availability and performance. AIOps (Artificial Intelligence for IT Operations) is an umbrella term for the integration of artificial intelligence (AI) technologies into network operations. It involves using machine learning, analytics, and big data to automate and enhance IT operations.

As cloud adoption expands, subscribing and provisioning resources increase day by day. Regular analysis and assessment are essential to monitor usage, ensuring that cloud resource spending remains efficient and minimizing waste. The assessments can be made using many ways but will need some level of technical competence and regular maintenance: Not all stakeholders will have access and the necessity to check through these tools.

Business process design is the starting point of any solid business strategy. This runs for Service Management, but it can also be applied to the rest of the enterprise. It creates a roadmap for teams to follow and incorporate to their workflows, guaranteeing operational efficiency and that technology is being leveraged at its full potential.

The cloud changed how businesses work, making things more flexible and adaptable. But keeping track of app performance from a user’s point of view in this new setup is tough. Legacy tools tend to not give developers an understanding of their users' perspective. That's where synthetic monitoring comes in. It's a strong way to focus on users and fix the problems that legacy tools miss.

In the last couple of years, the AI landscape has evolved from a researched-focused practice to a discipline delivering production-grade projects that are transforming operations across industries. Enterprises are growing their AI budgets, and are open to investing both in infrastructure and talent to accelerate their initiatives – so it’s the ideal time to make sure that you have a comprehensive toolkit for machine learning (ML).

Monitoring Apache web server metrics ensures your web server performs efficiently, securely, and reliably. In this tutorial, you will configure OpenTelemetry Collector to collect Apache metrics and send them to SigNoz for monitoring and visualization. We cover: If you want to jump straight into implementation, start with this prerequisites section.

OpenTelemetry provides a component called OpenTelemetry Collector, which can be used to collect data from multiple sources. Prometheus is a popular metrics monitoring tool that has a wide adoption. If you’re using Prometheus SDKs to generate metrics, you can collect them via OpenTelemetry collector and send them to a backend of your choice.

Database monitoring is an important aspect to look at for a high-volume or high-traffic system. The database performance drastically impacts the response times for the application. In this tutorial, you will install OpenTelemetry Collector to collect MySQL metrics and then send the collected data to SigNoz for monitoring and visualization. In this tutorial, we cover: If you want to jump straight into implementation, start with this pre-requisites section.

Many ecommerce business owners are tired of managing tedious and repetitive tasks, customer service enquiries, returns and complaints. Ecommerce automation might be exactly what you need to streamline your processes, increase efficiency, and ultimately save time and money. This guide explores automation tools for ecommerce that can help improve your online business.

This blog post is also available as a recorded talk with slides.