Operations | Monitoring | ITSM | DevOps | Cloud

What is Synthetic Monitoring?

Synthetic monitoring is automated testing of critical business transactions and user experiences. Synthetic monitoring helps businesses find, fix and prevent availability issues, performance issues and 3rd party vendors from giving you an insight into performance improvements that you can make to your website and supply chain to improve conversions and user happiness. Synthetic monitoring is also sometimes called user journey monitoring.

Artificial Intelligence and Machine Learning Play a Role in Endpoint Security

ML-enhanced endpoint protection can keep schools safe from cyberattacks. Here are three benefits district leaders will find when investing in this advanced technology. Long before the pandemic, K–12 cyberattacks were a serious concern. The shift to remote learning has only increased the danger.

3 Ways IT Teams Can Manage Tool Sprawl

Since schools transitioned to remote learning, districts have added or upgraded their IT education technology and monitoring tools to provide better outcomes for all. But it’s not necessarily a good thing. The saturation of edtech tools may be leading to wasted money, inefficiencies, and missed opportunities. In 2020, the deployment of edtech tools in schools increased by nearly 90% year-over-year.

Effective DataOps Tools for Improving Performance

Some of the best-selling books of all time are self-help books. Reading about the potential for change always intrigues people enough to buy the book. To succeed in enacting positive change, you must do just that—change. People’s habits are familiar and safe, and change requires effort down an unknown path. People aren’t sure of the outcome, and as a result, usually stick with the proven method—even if it’s what they’re trying to change.

10 CTO Tools Every Tech Leader Should Be Using

Managing technology isn't your only responsibility as a CTO. You could be the CIO, Digital Enabler, Data Officer, and Engineering Leader all rolled up into one, whether you work at a startup, scaleup, or enterprise. Your role as a C-suite executive for engineering requires you to research and implement the newest, most efficient technologies. As CTO, you’re responsible for: The list goes on and on. That's why you, of all people, need the right tools to manage your vital role in the digital world.

Peripheral vision for CIOs starts with AI-powered service operations

Lisa Wolfe, product marketing director at ServiceNow, co-wrote this blog. The stream of global disruptions these past couple of years has not only put business continuity plans to the test, but has also tested the ability of organizations to simply survive. To operate at the “speed of a digital business” and to endure the next wave of unexpected change will require peripheral vision—the ability to help predict and fix issues before they impact employees or the business.

Do You Know What's Keeping Your Cloud Team up at Night?

Cloud teams are busy. In fact, Virtana’s recently published State of Hybrid Cloud and FinOps survey found that 44% of respondents have deployed more than half of their workloads in a public cloud, and 88% have deployed more than one-quarter of their workloads in a public cloud. That’s a lot of migration, optimization, and management on the cloud team’s plate; and it’s not just for right now but for the foreseeable future.

OpenStack Xena and OpenStack Charms 21.10

The release of OpenStack Charms 21.10 brings native support for OpenStack Xena in Charmed OpenStack. This latest version of OpenStack comes with initial support for SmartNICs in Nova and further improvements around Neutron Open Virtual Network (OVN) driver integration. In order to further simplify the job of the cloud operations teams, the OpenStack Charms 21.10 release offers improved day-2 automation, including additional charm actions and better upgrade experience, and new operations documentation.

The Benefits of Structuring Logs in a Standardized Format

Image via Pixabay As any developer or IT professional will tell you, when systems experience issues, logs are often invaluable. When implemented and leveraged effectively, the data produced by logging can assist DevOps teams in more quickly identifying occurrences of problems within a system. Moreover, they can prove helpful in enabling incident responders to isolate the root cause of the problem efficiently. With that being the case, maximizing the value of log data is vital.