We’ve just launched our inaugural State of Availability Report and the results are sobering. We discovered that: We’d hoped that at this point in the global digital transformation, organizations had gotten further ahead with mastering availability but there’s still a long way to go.
Technology leaders are expected to do a lot. Their business partners talk about evolution, agility, and the ability to change direction overnight in response to new and emerging threats and opportunities — with no loss of productivity. Keeping up with the pace of change while delivering on all the work that maintains the integrity and security of the business can be a daunting challenge.
SquaredUp Cloud has been in development for over two years (we first previewed it at SquaredUp Live, Spring 2021). It continues our mission to unlock and summarize data – think of it like “BI for engineering”. In building SquaredUp Cloud, we drew upon what we’ve learned with our Microsoft solutions over the last ten years, and built a solution independent of any one tool, like SCOM.
For some N-central users, clicking on the Active Issues view and seeing the total number of issues in the bottom right hand corner can be daunting and lead you to think ‘How am I ever going to get this under control?’ In this blog, we are going to look at a few steps you can take to address some of these issues and bring that number down, so that your Active Issues view returns to a useful dynamic dashboard, with key issues that you need to address.
You may be tired of the regular three-tiered infrastructure and the management issues it can bring in distributed systems and maintenance. Or perhaps you’ve looked at your infrastructure and realized that you need to move away from its current configuration. If that’s the case, hyperconverged infrastructure (HCI) may be a good solution because it removes a lot of management overhead, acting like a hypervisor that can handle networking and storage.
The number of applications and services increases every day as more application architectures move towards microservices or serverless structures. You can process this increasing amount of time series data with real-time aggregation or with a calculation whose output is a measurement or a metric. These metrics need to be monitored so that you can solve issues and make relevant changes in your system quickly. A change in a system can be captured and observed in many ways.