Operations | Monitoring | ITSM | DevOps | Cloud

Having spent the best part of the last 15 years working in cloud cloud consulting I like to think I know a little bit about public cloud and its challenges. One thing that comes up time and time again in conversation with those that we have helped move to cloud is the lack of control over usage, generally a response to continuously rising bills with no clear indication as to why.

In today’s hyper-connected digital landscape, businesses rely heavily on cloud computing to streamline operations, enhance scalability, and drive innovation. However, the seemingly limitless potential of the cloud comes at a steep price – one that goes far beyond financial considerations. Welcome to the world of data centres, the not-so-hidden environmental offenders of the corporate world.

Amazon CloudFront is a Content Network Delivery service (CDN). CDNs are primarily used to reduce latency. They do this by serving certain types of content (images, videos and static files) from servers that are geographically closest to any particular user. I.e. users in France will receive content from the server in Paris; users in Malaysia will receive content from the server in Kuala Lumpur.

When it comes to building and delivering modern web applications, the importance of continuous integration cannot be overemphasized. With the rapid pace of software development, ensuring that every change in your codebase is thoroughly tested and seamlessly integrated into your project is essential for maintaining a robust and dependable application.

Hybrid networks, which combine on-premises infrastructure with cloud-based services, have become the backbone of modern operations. While they offer numerous advantages, they also present unique challenges when it comes to network monitoring and management. Maintaining the health and security of a hybrid network requires a comprehensive understanding of its intricate architecture and real-time visibility into its performance.

Prometheus can be configured to read from and write to remote storage, in addition to its local time series database. This is intended to support long-term storage of monitoring data.

Collecting metrics about your servers, applications, and traffic is a critical part of an application development project. There are many things that can go wrong in production systems, and collecting and organizing data can help you pinpoint bottlenecks and problems in your infrastructure. In this article, we will discuss Graphite and StatsD, and how they can help form the basis of monitoring infrastructure.

Grafana is an open-source visualization and analytics tool that lets you query, graph, and alert on your time series metrics no matter where they are stored - Grafana dashboards provide telling insight into your organization. All data from Grafana Dashboards can be queried and presented with different types of panels ranging from time-series graphs and single stats displays to histograms, heat maps, and many more.

Grafana is an open-source platform for metric analytics, monitoring, and visualization. In this article, we will explore the basics of Grafana and learn how to deploy it to Kubernetes. You will find specific coding examples and screenshots you can follow to deploy Grafana.

Traditional logging tools are struggling to keep up with the explosive pace of data growth. Data collection isn’t the most straightforward process — so deploying and configuring all the tools necessary to manage this growth is more difficult than ever, and navigating evolving logging and monitoring requirements only adds another layer of complexity to the situation.