Operations | Monitoring | ITSM | DevOps | Cloud

For the vast majority of organisations, it’s necessary to have some form of round the clock cover to support the business. Whilst it’s most commonly a concern for engineering, it’s increasingly common to have folks from various disciplines available out-of-hours. Irrespective of role, compensating people fairly is an important factor of running a healthy and effective on-call system.

Spring is blooming here at PagerDuty, and so is our automation product line. We’re thrilled to share some exciting product announcements. First, we’ve officially rebranded our automation product line, Rundeck®, as PagerDuty® Process Automation. Fundamentally, everyone who buys Rundeck becomes a PagerDuty customer, so we decided to make it less confusing.

Dad jokes lead the way in this episode as we interview Chris Martello, manager of application performance at Cengage. Chris is a wearer of many testing hats, but his passion is chaos and breaking things on purpose. Chaos was a natural fit for Chris with his background as a middle school science teacher, so when he made the jump to tech chaos engineering was a natural fit.

Welcome to the second post in a series of “How to Scale your AWS Infrastructure”. In the first post, we talked about horizontal scaling, autoscaling, CI/CD, infrastructure automation, containerization, etc. In this post, we will continue the discussion around databases, loose coupling, caching, CDN, etc. Let’s start the discussion with database scaling.

Observability is a new term that’s slowly entered the mainstream over the last two years. Today it’s used in the context of monitoring, but it’s much more than that. And it also goes way beyond visibility. So, in this blog, we set out to explore observability vs visibility and find out, what’s the difference? In a recent podcast, our friends at Riverbed neatly explained that seeing and observing are two different things, and can be compared to hearing vs listening.

Software engineering teams that adopt “as-code” practices, like using configuration files and automated workflows instead of manual configuration and tools, gain major improvements in velocity. But even companies that enjoy the success of as-code practices for development and delivery lag behind in applying them to operational concerns like monitoring and observability.

If you look back to the state of technology only a few decades ago, you’ll stumble upon a technological world full of silos and frustration. Two of an organization’s most vital teams—software development and IT operations—struggled to communicate effectively. Departments resided within silos, and development and testing were conducted at a snail’s pace.

Database backup protects your data by creating a copy of your database locally, or remotely on a backup server. This operation is often performed manually by database administrators. Like every other human-dependent activity, it is susceptible to errors and requires lots of time. Regularly scheduled backups go a long way to safeguarding your customers’ details in the case of operating system failure or security breach.

From setting up new hires with everything they need to get to work to troubleshooting technical difficulties, IT teams often field the same kinds of requests over and over. And while each request might feel like a small task, collectively they can add up to a huge time sink in the long run.