Operations | Monitoring | ITSM | DevOps | Cloud

Network performance plays a key role in service delivery, acutely impacting user experience. However, enterprise teams have long struggled with comprehensive insight into network performance and, when necessary, the ability to hold circuit vendors accountable.

Organizations in the 21st century are growing at a staggering rate, expanding their operations over a global network and dealing with more data than ever before. These widespread operations and processes also mean that there are infinitely more possibilities for businesses to run into problems, have an incident occur, and have to deal with the resulting consequences.

For enterprises using both hybrid- and multi-cloud architectures, Software Defined Cloud Interconnects (SDCIs) are increasingly well-recognised as the most advantageous approach to private cloud connectivity. In fact, by 2027 Gartner® predicts 30% of enterprises will employ SDCI services to connect to public cloud service providers. This is a threefold increase from less than 10% in 2022.

There is no getting away from it, automation can be complicated. First, it is working out where to start, and it isn’t as simple as installing an application or signing up to a service and configuring it once. Automation is a journey not made easier by the drive for AI (check out this webinar on Automation & AI), which will aid productivity but could actually increase manual work performed today by surfacing more insights that need to be manually addressed.

Lumigo has announced the addition of full log management capabilities into its microservices observability and troubleshooting platform, promising customers enormous savings while enabling automatic correlation between log data and distributed traces.

In the ever-evolving landscape of software development, testing plays a crucial role in ensuring the quality, reliability, and performance of applications. As technology continues to advance, the future of testing is deeply intertwined with automation, offering immense potential for improving efficiency, speed, and accuracy in the testing process.

Data analysis is crucial in today's businesses and organizations. With the increasing amount of data being created at 328.77 million terabytes of data per day, and them being readily available to most businesses, having efficient tools that can help analyze and interpret this data effectively is essential. In this article, we will discuss the top 9 best data analysis tools currently used in the market today.

In this article we will help you understand system monitoring, what you should look for in your system monitoring tool, and give you our top 7 best APM tools. As service providers, we understand that 100% uptime for our service isn't an achievable goal, but we do everything in our power to provide our customers with the best possible service and highest availability possible. We implement tools and processes to allow ourselves the ability to respond to issues before they affect our customers.

With an increasing number of organisations moving to online platforms and adding to the huge network of existing online sites, building and maintaining a trustworthy platform is of paramount importance for business. A secure platform not only safeguards sensitive information but also fosters confidence among users, paving the way for meaningful connections and lasting customer relationships.

Imagine this scenario: Imagine this scenario: You are a user of an online service, and suddenly you encounter a technical glitch. You head to the status page for updates, expecting clear information about the issue. However, you are met with vague or unstructured updates, leaving you uncertain about the severity and resolution timeline of the problem.