Operations | Monitoring | ITSM | DevOps | Cloud

I/O wait is a plaguing issue in Linux. Speaking in layman terms, I/O wait is the time taken by the processor (here, CPU) to complete an input service request. Ideally, our CPU doesn't seem to do any work when it is processing one input request at a time, thus the duration between your input and the output provided by the system can be treated as the I/O wait time.

As a site reliability engineer (SRE), you juggle a lot of moving targets. You keep tabs on your operational environment’s health and maximize service levels, all while trying to scale your business and exceed client expectations. To hold it all together, you’ve likely implemented a hybrid cloud strategy to keep a watchful eye over everything: your on-premises infrastructure, containers, and numerous cloud deployments.

The DevOps industry has been experiencing rapid growth over the past few years. However, with this growth comes a shortage of skilled DevOps engineers who can efficiently implement and maintain the practices. Organizations are facing the challenge of finding and retaining qualified professionals, but there is a solution. Utilizing the right tools and technologies can empower organizations to overcome the DevOps talent shortage.

System Administrators use various tools to get the job done. Among that tech stack, SysAdmin password generators are an absolute must. However, there are a lot of options to choose from, and making the right choice can often be a daunting task. Similar as we did a while ago with enterprise password managers, let’s review the favorites, and break their pros and cons down into digestible information.

According to data from W3Techs, more than 40% of all websites are built on WordPress. Therefore, it’s no surprise that WordPress hosting has skyrocketed in popularity recently and hosting providers have proliferated. With so many choices, it’s important to understand just how reliable WordPress hosts are, especially when it comes to downtime. Web hosting downtime can have significant consequences such as business loss, brand damage, and missed opportunities.

I recently attended a virtual event and heard the speaker comment, “Relational databases don’t scale.” To my ears, this is about as silly a statement as saying, “No one can eat 26 hot dogs in 12 minutes” right before Kobayashi shows up and eats 50. In my experience, relational databases scale when they’re placed in the hands of someone who knows what they’re doing. Just imagine if Kobayashi was your data architect!

Most sentences that include both on premises and cloud usually put the word “or” between them, or perhaps “vs.” But most enterprises operate in the world of “and.” In other words, they have workloads on premises and in the cloud—and that little three-letter word makes a world of difference.

Database DevOps has come of age. Now seen as a key technical practice which can contribute to the successful implementation of DevOps, it stops the database being a bottleneck and makes releases faster and easier. Conversely, perhaps, the automation and audit trails it introduces can help to protect personal data within databases and make compliance part of the same process rather than an additional time-consuming step outside it.