SIOS SANless clusters High-availability Machine Learning monitoring
Definition: Backup is a standard IT business practice of making and retaining copies of important data and storing these copies in a location that is geographically distant from the production environment where they originated. Backup ensures that important data will not be lost if the primary system goes down or is damaged.
Reproduced from SIOS
Definition: The software and processes IT professionals use to monitoring and managing the performance and availability of software applications.
Reproduced from SIOS
Definition: Tools designed to ensure software applications perform as expected. IT professionals use APM tools to ensure their end-users get the quality of service they expect from important business applications. In virtual environments, application monitoring tools helps administrators ensure that application servers operate within the parameters of their service-level agreements (SLAs).
Reproduced from SIOS
Author Carey Nieuwhof hooked me with a blog topic of the biggest trap for 2021. While not directly speaking to HA, the topic alone made me reflect on some of the trends of 2020. Cloud innovations are numerous and begin at the most fundamental levels of the infrastructure. Not to mention advances in AI, machine learning, compute capacity and algorithms, memory management and sharing, and a battery of others. All of these advances add up to making the current generation cloud the most robust, reliable and available data center. These centers, optimized with redundant power, cooling, a legion of IoT devices for monitoring and alerting, redundant networking, high speed interconnects, massive servers, storage, and disks are impressive– and quite possibly the biggest trap that may be looming in 2021.
The biggest trap of 2021 will be believing that cloud availability alone is the same as or enough for higher availability. This is a complex trap to dissect. The list of named advances that make up the backbone of many data centers is indeed vast and impressive, and it is only a fraction of the technological innovations that exist driving the cloud. So, what makes this massively redundant, high capacity, and AI driven infrastructure a trap? Namely, that hardware and infrastructure availability still leave your enterprise at risk.
Fifty Ways to Improve Your High AvailabilityI love the start of another year. Well, most of it. I love the optimism, the mystery, the potential, and the hope that seems to usher its way into life as the calendar flips to another year. But, there are some downsides with the turn of the calendar. Every year the start of the New Year brings ‘____ ways to do_____. My inbox is always filled with, “Twenty ways to lose weight.” “Ten ways to build your portfolio.” “Three tips for managing stress.” “Nineteen ways to use your new iPhone.” The onslaught of lists for self improvement, culture change, stress management, and weight loss abound, for nearly every area of life and work, including “Thirteen ways to improve your home office.” But, what about high availability? You only have so much time every week. So how do you make your HA solution more efficient and robust than ever. Where is your list? Here it is, fifty ways to make your high availability architecture and solution better:
So, what are the ideas and ways that you have learned to increase and improve your enterprise availability? Let us know!
-Cassius Rhue, VP, Customer Experience
Reproduced from SIOS