Operations | Monitoring | ITSM | DevOps | Cloud

Schools, universities and other organizations within higher education have been shifting to modernize their learning experiences. With the intake of new students each year, some of these being based remotely, these organizations are seeking to manage large-scale and highly distributed infrastructure.

We all use computers — some of us are on our laptops all day, every day. But how do our personal or work computers connect to the internet, share files, send emails, and complete other tasks? That’s the role of servers.

In the realm of modern application deployment, orchestrating containers through Kubernetes is essential for achieving scalability and operational efficiency. This blog deals with diverse Kubernetes distribution platforms, each offering tailored solutions for organizations navigating the intricacies of containerized application management.

Fluctuations in network usage within organizations can occasionally surge due to several factors. For instance, increased traffic might stem from activities such as large-scale promotional campaigns, sudden software updates or patches, escalated remote work demands, or even unforeseen security incidents. An article published by the Financial Express claims e-commerce order volumes spiked by 23% in 2023 during Black Friday sales on the Unicommerce platform.

Observability is a key pillar for today’s cloud-native companies. Cloud elasticity and the emergence of microservices architectures allow cloud native companies to build massively scalable architectures but also exponentially increase the complexity of IT systems.

Service incidents are unavoidable in today’s complex and dynamic IT environments. They can cause significant disruption to business operations, customer satisfaction, and revenue. However, many organizations are still struggling to manage service incidents effectively. Here, we will explore some of the common challenges faced by ITOps team and how HEAL, an AI-powered tool, can help conquer them.

For this week’s installment of “The concise guide to Loki,” I’d like to focus on an interesting topic in Grafana Loki’s history: ingesting out-of-order logs. Those who’ve been with the project a while may remember a time when Loki would reject any logs that were older than a log line it had already received. It was certainly a nice simplification to Loki’s internals, but it was also a big inconvenience for a lot of real world use cases.

In the business world, shadow IT is a controversial topic. Gartner defines Shadow IT as any IT devices, software and services that are used outside or beyond the ownership or control of IT departments/ organizations. This includes: In a standard work environment, the IT department would be responsible for providing whatever IT solutions and work tools were needed across all business functions.

C-suiter, VP’er, or anyone who’s top of the pile in an enterprise faces inherent pressure that comes part and parcel with the role that they’re taking on. Many of the pressures can’t be overcome, it’s simply the nature of the beast. But dealing with technical issues in their day-to-day life is one of their biggest gripes, because it always feels like a problem that should be solved – not one needing to be dealt with again and again.

In Java applications, concurrency issues can be difficult to reproduce and debug. Because work is scheduled nondeterministically across threads, the conditions that have led to an error in one execution of the program may not trigger the same issue the next time around. Exceptions that are silently handled—also known as swallowed exceptions—can also be challenging to debug because they typically do not leave any trace in the logs.