Operations | Monitoring | ITSM | DevOps | Cloud

Your Puppet Enterprise (PE) installation’s primary job is to compile catalogs and send them to agents to be enforced. When you deploy code, all catalog compilation stops and waits for the code deploy to complete. This impacts performance in any installation, and the impact escalates with more frequent code deployments. Code deployments usually increase when you use Continuous Delivery for Puppet Enterprise, making the impacts of stopped catalog compilations even more apparent.

Software development in the banking and finance industry can make you feel like you’re wearing chains. Regulation, compliance, upfront costs, privacy, legacy systems, fear of cyberattacks, and an “if it ain’t broke” approach can lead to a lack of innovation. Despite these challenges, some technology-forward banks like Capital One, JP Morgan Chase, HSBC, and Wells Fargo have embraced the cloud and introduced DevSecOps and cloud-friendly architectural practices.

At Netdata, we love two things more than anything else: Our goal is to make troubleshooting and monitoring as seamless as possible with the open-source Agent. This includes giving you pre-configured alerts so that you get notified immediately when a disruption occurs. The Netdata Agent comes with over 250 pre-configured and optimized alerts.

The word open source was first coined by Christine Petersen to a working group that was dedicated, with a goal to share open-source software practices in the broader marketplace. The working group values sharing of software for better use, cheaper offering and preventing vendor lock-in.

Most developers care about building the next big thing. Automating your build, test, and release processes allows you to maintain focus on innovating and delivering value to your users. By combining the power of best-in-class CI/CD workflow orchestration with managed environments-as-a-service, developers can stay focused on building what’s next.

Our Analytics & ML lead Andrew Maguire recently had a chance to share our new Anomaly Advisor feature with the wider CNCF community. In his demonstration he did some light chaos engineering (using Gremlin and stress-ng) to generate some real anomalies on his infrastructure and watch how it all played out in the Anomaly Advisor in Netdata Cloud. There were also some great questions and discussion from the audience around ML in general and in the observability space itself.

Early technical decisions can help make or break a product. The effort to make the right decisions can be a great unifier between standout engineers and top notch executives At Cycle we've been obsessing over the nuances of infrastructure automation for years. So far, it's landed us on the G2 grid as a high performer in a category dominated by the goliaths of the cloud world.