Operations | Monitoring | ITSM | DevOps | Cloud

Announcing Puppet Compliance Enforcement Modules

Hi, it’s me... Back again with something exciting: Puppet’s new Compliance Enforcement Modules, or CEMs. We’ve been working on some pretty cool stuff since we launched Puppet Comply last year. Lots of great feedback has come in, and we’re thankful for every opportunity we get to show our customers how we can help. This feedback comes in many forms, but one of the things we’ve heard time and time again is that achieving compliance is still hard.

The Way We Work: N-able's hybrid work model

We’ve all seen the headlines. It’s no secret companies are being forced to re-examine the employee experience and what the future of work will look like in a post-pandemic world. With the adaptation to remote work, the pandemic created a new normal—where office and home life are blended, and people became accustomed to more flexibility. Now that flexibility is a benefit people don’t want to lose.

Using the Resource Timeline in Request Metrics

The Resource Timeline in Request Metrics is a heat map of all the files requested by your pages. It shows the range of resource load time and critical load events experienced by all users, not just a single point load. The data allows you to see which resources impact your page metrics as well as the variability in their load time.

Let's Encrypt DST Root CA X3 certificate set to expire

If you've been using Let's Encrypt for a while, you may have noticed that their certificates are signed by a root certificate titled DST Root CA X3. That root certificate is set to expire in a few hours. Any certificates still signed by that root will no longer be valid. But luckily, that shouldn't form a problem for most Let's Encrypt users. For a while now, new SSL issuances by Let's Encrypt have issued certificates against DST Root CA X3 (the one that is about to expire) and ISRG Root X1.

The U.S. Department of Defense formally authorizes Grafana, Grafana Enterprise, and Loki for its 100,000 developers

Not so long ago, development teams working for the U.S. Department of Defense could take anywhere from three to ten years to deliver software. “It was mostly teams using waterfall, no minimum viable product, no incremental delivery, and no feedback loop from end users,” Nicolas M. Chaillan, Chief Software Officer of the U.S. Air Force, said in a CNCF case study. “Particularly when it comes to AI, machine learning, and cybersecurity, everyone realized we have to move faster.”

What Is Distributed Tracing?

Modern software development is evolving rapidly, and while the latest innovations allow companies to grow through greater efficiency, there is a cost. Modern architectures are incredibly complex, which can make it challenging to diagnose and rectify performance issues. Once these issues affect customer experience, the consequences can be costly. So, what is the solution? Observability — which provides a visible overview of the big picture.