Operations | Monitoring | ITSM | DevOps | Cloud

Many companies today try to feed business metrics into APM or IT monitoring systems. Splunk, Datadog and others track your business in real time, based on log or application data – something that would seem to make sense. In practice, however, it fails to produce accurate and effective monitoring or reduce time to detection of revenue-impactful issues. Why? Because monitoring machines and monitoring business KPIs are completely different tasks.

It’s no secret that machine learning (ML) has experienced tremendous growth and adoption over the last few years. And why not? This exciting technology has enabled us to utilize the power of machines for a wide variety of applications and industries. From image processing to predicting to medical diagnosis, ML has begun to reshape the way we live.

Every successful company plans for sustainability and growth. Forecasting the growth path helps companies set their short- and long-term business objectives and make important decisions to help them reach their goals. Short-term forecasts are important in quarterly and annual budget planning and for ensuring that daily business operations help achieve long-term goals.

IT operations is at a crossroads. The increasing complexity of IT infrastructure and software is challenging IT teams and the business. So this year we decided to focus our survey on what IT Ops execs, managers and practitioners think about the current state of their operations, the future of their systems and the role automation and AIOps might play in their transformation.

Customers today are faced with a wide variety of industry terminology: APM, IOTA, BPM, OI, BAM and AIOps, just to name a few. Using different terminology like this might help large vendors expand their market size with different positioning offerings, but it certainly doesn’t help their customers understand what they’re getting. Companies spend tens of millions of dollars to solve their problems with the wrong solutions and struggle to get value from it.

OnPage provides a reliable incident alerting solution, built for today’s healthcare providers and IT professionals, ensuring that important notifications are sent to the right individuals at the right time, every time. Adopting OnPage as a pager service or IT alerting solution equates to HIPAA-compliant exchanges, without human errors or complications.

It may be back-to-school month, but the glitches never went on summer vacation! Check out the glitches that occurred since our last report…

Demand forecasting is the process of predicting future demand for a company’s products or services. Understanding how many customers will want to purchase or use something is critical for acquiring inventory, planning capacity, scheduling resources, producing products and managing the supply chain. How many people should you schedule for a work shift? How many widgets should you produce this quarter? When should you build additional capacity into your systems?

Last week, we spoke with a lot of folks at PagerDuty Summit, where we explored the power of error monitoring in a world that’s always on (or on-call). What a neat tweet. Throughout our conversations, one thing became clear: developers are seeking out increased efficiency — they want to minimize time to error detection and resolution. They want to know about issues, find the root cause, and fix them quickly so that they can move on to other things — like writing more code.

Yesterday, we kicked off PagerDuty Summit by launching new features that support the themes of Visibility and Intelligence. If you missed the keynotes or want to know more, check out this blog post. Today, we are making several announcements around two other themes that our CEO Jennifer Tejada touched on during her keynote yesterday: Platform and People. In fact, these themes are so closely related that we refer to them as one—that PagerDuty is a platform for people to do real-time work.