Operations | Monitoring | ITSM | DevOps | Cloud

The increased use of multiple cloud environments for business software and applications combined with the volume of consumers and different devices demanding reliable, fast connectivity has put an enormous strain on IT infrastructure. Overly complex networks that need to link highly disparate devices and servers can’t also provide speed and consistency while using outdated architecture.

When it comes to arranging your network architecture, there are different methods to consider, each with its own pros and cons depending on your business needs. The way you design your network can improve connectivity for data sharing or increase security. This arrangement of components and their proximity to each other is known as network topology. In this article, we’ll explore network topology, different types of topologies, and how they impact speed, reliability, security, and other functions.

Christina Kosmowski, CEO of LogicMonitor, is here today to introduce the latest innovations for our quarterly Summer 2023 Launch, which is focused on extending visibility wherever your business demands through unified monitoring across your entire hybrid cloud ecosystem! How is it already August? As I look back at the intensely busy spring and summer we had here at LogicMonitor, I can’t help but romanticize the idea of journeys and road trips.

Titles within an organization evolve nearly as fast as the technology itself. For a long time, the title of DevOps was considered a literal interpretation of “Development” and “Operations” – a catch-all term for hybrid roles encapsulating everything from on-prem, cloud, and hybrid infrastructures, to code execution and lifecycle management. Sounds like a lot? It is.

This article is the final installment in a 4-part series on leveraging artificial intelligence and machine learning (ML) for IT operations (AIOps) to provide a more efficient, reliable, agile, cost-effective, and optimized IT infrastructure. Just as our roads and highways evolve overtime to meet the demands of the travelers who use them, AIOps will continue to transform how organizations build, use, and manage their infrastructures.

Your IT teams are critical to improving the efficiency of your operations and ensuring long-term business scalability. But as your organization grows and demands become more complex, the challenges of managing IT operations can become difficult, especially when managing multiple applications across various server environments. Containerization has become a popular solution for some of these challenges.

For most organizations, having a stable and reliable IT infrastructure is essential for success. But managing multiple servers, databases, and applications can often be difficult and time-consuming. Container orchestration is a standard solution for handling this complexity. Docker Swarm has gained popularity as a container orchestration solution because of its simplicity and scalability.

UX (user experience) is a core factor that determines the success of an application or platform in a distributed system. Specifically, developers need to understand the infrastructure within an entire application stack to improve and refine the user experience to meet customer expectations without guesswork. System downtime remains a significant source of revenue and reputational losses for enterprises, employees, and customers.

Modern businesses are constantly looking for more efficiency and better performance in their daily operations. This is why embracing cloud computing has become necessary for many businesses. However, while there are numerous benefits to utilizing cloud technology, obstacles can get in the way. Managing a cloud environment can quickly overwhelm organizations with new complexities.

Every well-oiled machine needs both a gas and a brake pedal. If our article titled How IT Teams Can Leverage AIOps’ Capabilities is the gas pedal in this analogy, then this writing is the proverbial brakes in which we explore some educational pit stops organizations should make on their way to integrating artificial intelligence (AI) and machine learning (ML) into their IT operations (AIOps).