Operations | Monitoring | ITSM | DevOps | Cloud

The telecommunications world is in the middle of its fourth industrial revolution. Organisations are trying to bring out as many new services as possible to monetise their infrastructure, but despite their modern approach, they still own and maintain legacy — and most importantly — multi-vendor infrastructures. Due to complex organisational structures and decentralised management systems, most responsibilities are divided between multiple departments.

SaaS has rapidly become the go-to software and computing solution for businesses and industries across the world. While it’s costly to develop and deploy servers and infrastructure for your business out of pocket, you will be glad to hear that software-as-a-service seems to be a more affordable and more scalable solution for just about everyone. What are the benefits and drawbacks of SaaS?

We gathered on February 10, 2020, for our Sales Kick off. We held it in Boston and, for the first time, had external speakers. We announced our president club destination. 2019 was a good year, and we were looking forward to 2020. When I went to visit some customers in Europe in late February / early March, I noticed the nervousness of the folks on the plane back from Barcelona. Some were even starting to wear masks. I landed in NY; everything was normal.

Every enterprise has its arsenal of tech tools to tackle an array of different challenges. Useful, and necessary, but often a pain to monitor. Whatever your data sources, being able to bring all these metrics into a unified dashboard provides valuable context, which in turn helps you identify and correlate problems more quickly, resulting in improved reaction time and decision making.

Remote teams that work on dependent products face resource crunches and delays. When several teams work on interrelated projects, the chances are high that they will soon end up meeting at some point where they have to wait for resource release from another team or teams. For instance, when team A wants an update to an app currently maintained by Team B, they would want to automatically access the latest version of the app whenever a new bug is fixed and an update is made.

Amid a year of challenges and change, Grafana made great strides in 2020. Grafana currently boasts more than 600,000 active installations and millions of dashboards in use across the globe. And this year, after 18,000 commits and 3,699 pull requests from 362 contributors, we revealed the next chapter of our observability story.

Waking up at 3 AM to deal with a downed service is a special kind of pain, isn’t it? A cross between annoyance, fury, and half-asleep melodrama. Maybe you curse yourself or your team. It’s ok. We’ve all been there. Here at Uptime.com we want to help you get through life’s painful little moments with some advice on how to choose a web monitoring provider. It’s what we do, so we hope our advice and suggestions will lead you to a good fit.

For complete visibility into the performance of your applications, you need telemetry data—traces, metrics, and logs—that describes activity across your entire stack. But if you’re using multiple monitoring tools, your data can end up in silos, making it difficult to troubleshoot issues that affect your user experience.

When investigating a complex system—or learning about it for the first time—you need to explore metrics, traces, logs, and other kinds of data. But as you navigate across different views of your data in dashboards, alert notifications, flame graphs, and so on, it can be hard to keep track of what you have already seen. When a potential issue comes up and time is tight, the last thing you need is to spend time remembering a crucial graph or finding the right browser tab.

Monitoring the performance of server infrastructure is crucial to any organization. While metrics such as health and availability will sometimes suffice for measuring overall efficiency, getting visibility into more details, such as the underlying processes, tasks, and scheduled jobs, is often crucial for not just identifying a performance problem but also isolating its root cause.