Operations | Monitoring | ITSM | DevOps | Cloud

Software is more than building code. Developing software and ensuring quality builds requires managing a complete software supply chain. With the many security threats across the supply chain, managing each and every aspect of the software you deliver to your customers, including the entire process of how it was made, is critical to your organization. This means setting up your software release cycle to include DevOps and security best practices.

Servers are a critical component of modern IT infrastructure, and they play a key role in delivering the services and applications that power our digital world. Efficient servers can handle higher workloads and respond to requests more quickly, resulting in faster application response times and improved customer satisfaction. By optimizing server efficiency, businesses can ensure that their servers are operating at their maximum potential, with all resources being utilized to their fullest capacity.

Concerns of automation taking away the available jobs for the workforce have prevailed for over 50 years. While automation can be a substitute for labor, David Autor declares, “Automation also complements labor, raises output in ways that lead to higher demand for labor, and interacts with adjustments in labor supply.” Automation can be invaluable for industries that provide professional services.

Automatic instrumentation is great, but to get the most out of your monitoring you often need to instrument your code. In this article I am going to explain how to instrument a Node.js express app with custom metrics using the Prometheus prom-client package. Although this article specifically addresses Node.js and express, my hope is that the general concepts are applicable to other languages too.

Google Cloud Platform (GCP), Google’s answer to Amazon Web Services (AWS) and Microsoft Azure, is steadily gaining steam. Launched in 2008 — just two years after AWS — GCP has taken the bronze medal in public cloud services for years. While it still occupies third place, its market share has steadily expanded: In Q4 2021, GCP owned 9% of the public cloud market, and by Q3 2022, it had jumped to 11%.

Checkly is the synthetic monitoring platform that scales. A core part of the Checkly platform is our monitoring as code workflow, which just got a massive boost with the launch of our TS/JS native Checkly CLI which is now in beta!

At incident.io, we deal with small incidents all the time—we auto-create them from PagerDuty on every new error, so we get several of these a day. As a team, we’ve mastered tackling these small incidents since we practice responding to them so often. However, like most companies, we’re less familiar with larger and more severe incidents—like the kind that affect our whole product, or a part of our infrastructure such as our database, or event handling.

Moving to the cloud is no small feat, especially for enterprise-scale infrastructure. And just imagine the complications when you need to deploy across more than one cloud. Multi-cloud deployment is sometimes characterized by slow, error-prone workloads, lack of consistency, and inflexibility that holds users back. In this blog, we’ll provide clear definitions, use cases, benefits, challenges, and factors to consider for multi-cloud deployment.

In this blog post, we’ll demonstrate how to use Cribl Search for anomaly detection by finding statistical outliers in host CPU usage. By monitoring the “CPU Busy” metric, we can identify unusual spikes that may indicate malware penetration or high load/limiting conditions on customer-facing hosts. The best part? This simple but powerful analytic is easily adaptable to other metrics, making it a versatile tool for any data-driven organization.

The formula of teleworking, extended among many companies from the phenomenon of Confinement, caused by the pandemic, has given rise to a new model of labor relations. A system already called “hybrid” because it combines teleworking with conventional physical presence.