Operations | Monitoring | ITSM | DevOps | Cloud

Federal agencies are adopting a more modern, digital-centered approach in everything they do. That’s good progress, but it’s also exposing some critical problems in the modernization journey.

It's 2 a.m. and your engineering team is sound asleep when suddenly a barrage of alerts start flooding in. A critical service is down and customers are complaining. Your developers scramble to sift through the noise, identify the root cause, and fix the issue—all while racing against the clock to meet tight SLOs.

In 2024, customer experience will be the biggest driver of success. While the business world glances at the financial horizon with worried eyes, finding ways to retain users, capture new leads, and create meaningful, long-lasting brands is more critical than ever. According to Forrester, the ROI of customer experience is 9,900%. For most businesses, the value of user experience is apparent—lower costs, improved loyalty, higher satisfaction, and a higher overall LTV.

Small and medium-sized enterprises (SMEs) play a crucial role in Australia's economy. Despite this, they face significant challenges in the current economic climate, including rising costs, higher interest rates, and the need to stay competitive in a rapidly-evolving digital market. For these businesses, cutting expenses is the top priority, closely followed by enhancing the digital customer experience.

Kubernetes has several components that produce logs and events containing information on everything that has happened in a Kubernetes cluster. Keeping track of all this data becomes extremely challenging when you run Kubernetes at a very large scale. With so many components generating logs, organizations need a centralized place to see it all. But this is only half your problem. You also need to correlate logs coming from different components to draw the right conclusions and take effective actions.

We recently published the IT Topic “IT System Monitoring: advanced solutions for total visibility and security”, in which we present how advanced solutions for IT system monitoring optimize performance, improve security and reduce alert noise with AI and machine learning. We also mentioned that there are four golden signals that IT systems monitoring should focus on.

Managing IT environments can be challenging, especially with the growing complexity of hybrid infrastructures. These interconnected technologies, including servers, routers, storage arrays, and software-defined elements running in both data centers and cloud environments, require robust infrastructure monitoring.

Reliability testing and observability are similar in one important way: engineering teams know they should be doing it, but they’re not sure how to start, or they don’t have the right resources, or they need to focus on competing priorities like feature development and incident response. In an ideal world, reliability and observability would be automated processes that configure, monitor, and run themselves.