Operations | Monitoring | ITSM | DevOps | Cloud

Just as mass adoption of the public cloud ushered in an era of digital transformation for most enterprises, the ready availability of Software-as-as-Service (SaaS) applications is changing the very DNA of organisations. In this article we look at the role that connectivity can play in improving the performance of your mission critical applications. Chances are your business already uses a variety of SaaS tools in its day-to-day operations.

The life of a developer these days is more complicated than ever, as they are increasingly required to expand their knowledge across the stack, understand abstract concepts, and own their code end-to-end. A major (and very frustrating) part of a developer’s day is dedicated to fixing what they’ve built – scouring logs and code lines in search of a bug. This search becomes even harder in a distributed Kubernetes environment, where the number of daily changes can be in the hundreds.

In today's digital age, the internet and computer technologies have become a part of our lives. Organizations are moving their applications to the cloud to gain benefits of flexibility and lower costs. Heroku and AWS are two popular cloud service providers. AWS is a cloud services platform offering computing power, database storage, content delivery, and many other functionalities. Users can choose individual features and services as required.

To work efficiently, the client and server exchange information on a regular basis. A webserver typically employs reverse proxies. A client sees a reverse proxy or gateway as if it were a regular web server, and no extra configurations are required. The client sends standard requests to the reverse proxy, which then determines where to send the data, providing the final result to the client as if it were the origin.

IT infrastructures are constantly evolving, meaning conventional management processes have become outdated and inadequate to tackle complex IT issues. A study by ESG found that 75% of IT decision-makers admit that complexity of IT infrastructures has increased drastically from two years ago. This rapid surge in complexity has disrupted admins’ understanding of network behavior and decreased the chances of foreseeing unanticipated network issues.

Giving developers a portal they can use to understand application dependencies, ownership, and more has never been more critical. As you scale your Kubernetes adoption, you want to make sure you avoid service sprawl, and if not done early, application support will become a nightmare.

Tagging, as a means of organizing our cloud environments, has utterly, totally, failed us. If you have authored a tagging policy document, begged your engineers to properly tag their stuff, or just plain given up, then you know what I'm talking about. Tagging is broken, and I don't mean broken in a way that can be fixed, but rather that the entire concept just isn't getting the job done.

Every network has a specific collection of nodes and links that connect them. The arrangement of those nodes and links, or the network topology, informs performance, maintenance costs, and more. You should know the network topology models in use today when designing or managing a network, including the ring, mesh, bus, star, and tree topologies.