Operations | Monitoring | ITSM | DevOps | Cloud

How Ivanti is Helping the Federal Government Make Zero Trust a Reality

As you may have heard, Ivanti was selected by the National Institute of Standards and Technology’s (NIST’s) National Cybersecurity Center of Excellence (NCCoE) to participate as a collaborator in its Implementing a Zero Trust Architecture project.

Using AI/ML to Increase Gaming Monetization

Gamers are not shy about reaching into their wallets for premium content and features. They also won’t hesitate to tap the uninstall button at the first sign of trouble. It’s not uncommon for a gamer to boot up a hotly anticipated new game or revisit an old favorite only to put it down days or weeks later. The culprit is often gaming monetization issues that get in the way of what would otherwise be a long-term rewarding gaming experience.

10x development speed with local serverless debugging

In this article you’ll find out how to 10x your development speed with local serverless debugging. Questions such as “what happens when you scale your application into millions of requests?”, “what to expect when going serverless?”, “how does it look like?”, or “how is it to build applications on serverless and work locally?” will be addressed.

How Much Does a Digital Experience Leader Make in IT?

Have you ever tried to search for a leadership position in IT that’s dedicated exclusively to employee experience, sometimes listed as end user experience or Digital Employee Experience (DEX)? I’m not talking about a CXO (Chief Experience Officer) role outside of IT—that position is usually advertised for customer experience or employee communications and human resources. I’m talking strictly enterprise IT.

The Benefits of Centralized Log Management and Analysis

Log centralization is kind of like brushing your teeth: everyone tells you to do it. But until you step back and think about it, you might not appreciate why doing it is so important. If you’ve ever wondered why, exactly, teams benefit from centralized logging and analysis, keep reading. This article walks through five key advantages of log centralization for IT teams and the businesses they support.

How to Reduce Alert Fatigue: Preventing Noisy Alerts and Error Messages

Monitoring solutions are a vital component in managing an application’s environment. From the systems layer all the way up to the end user’s connection to the app, you want to find out how the platform is performing. Indicators like CPU, memory, the number of connections, and overall health help teams make informed decisions for guaranteeing uptime. Teams monitor metrics (short-term information) and logs (long-term information) mainly from a reactive perspective.

How to Notify Your Team of Errors: Email vs. Slack vs. PagerDuty

Site Reliability Engineering (SRE) and Operations (Ops) teams heavily rely on notifications. We use them to know what’s going on with application workloads and how applications are performing. Notifications are critical to ensuring SREs and Ops teams can resolve errors and reduce downtime. They’re also crucial when monitoring environments — not only when running in production but also during the dev-test or staging phase.

How digital workflows ensure secure access at Copenhagen Airport

Access to any airport is tightly governed. When you’re one of Europe’s busiest airports and a high-profile piece of national infrastructure, you cannot have unauthorized people wandering about. At Copenhagen Airport, we have more than 20,000 people cleared to access the airport. These might be security staff, baggage handlers, IT service providers, catering teams, and others. As the airport has grown, so has the number of on-site workers.

Accelerating Machine Learning with MLOps and FuseML: Part One

Building successful machine learning (ML) production systems requires a specialized re-interpretation of the traditional DevOps culture and methodologies. MLOps, short for machine learning operations, is a relatively new engineering discipline and a set of practices meant to improve the collaboration and communication between the various roles and teams that together manage the end-to-end lifecycle of machine learning projects.

Accelerating Code Quality with DORA Metrics

What do Google’s DevOps Research and Assessment (DORA) and Rollbar have to do with each other? DORA identified four key metrics to measure DevOps performance and identified four levels of DevOps performance from Low to Elite. One way for a team to become an Elite DevOps performer is by focusing on Continuous Code Improvement.