Operations | Monitoring | ITSM | DevOps | Cloud

At OpenObservability, we had the pleasure to sit down with Andre Boutet, the Senior Director of Cloud Operations and Services for OneSpan. Andre had a conversation with our CTO, Jonah Kowall, around what observability means to his team and his organization. Teaser: It’s not just about ensuring uptime and availability for external systems. It’s a philosophy with a foundation on supporting the entire development lifecycle.

Netdata Cloud works differently from other monitoring solutions. Most solutions limit the number and frequency of metrics because they rely on architectures that aggregate data. Netdata Cloud, however, streams limited metadata from each node running the Netdata Agent, keeping you in control of the data on your systems. The advantage of this architecture is that there is no limit to the number or frequency of metrics, regardless of the scale or complexity of your IT infrastructure.

When I first started the project that became the Netdata Agent, I was trying to solve a painful, real-world problem: IT infrastructure monitoring tools fell short when it came to providing complete, granular metrics in real time. Believe me, I had no shortage of tools to choose from, but each of them lacked something either in the ability to see every metric I needed, or see it at the frequency required.

When your company is born in the first Industrial Revolution, how do you stay relevant in the digital age? For Schneider Electric, the answer is continuous innovation, driven by its heritage in the electricity market. Founded in the 1880s, Schneider Electric is a leading provider of energy and automation digital solutions for efficiency and sustainability.

The Activate program from Amazon Web Services (AWS) is an easy way to get a little bit of help for your cloud-based startup. Depending on the stage of your startup and some other criteria, you could get up to $100,000 in sweet, sweet AWS credits. So how do you know if you qualify for AWS Activate? Here’s the deal.

Deploying a new feature to production is a momentous occasion. It's important to ensure that everything goes properly at this stage, as deployments tend to be error-prone when not handled correctly. To examine why this is and how you can avoid it, let's take a look at the different types of deployments available and where some of them fall short.

Without SRECon happening this year and the world turned upside down from COVID-19, we set out to hold a virtual event to bring SREs together to share their experiences of what has changed. Last week’s SRE from Home was exactly that. With 1900 registrants, 20 lively Slack channels, six illuminating and entertaining talks from a diverse range of experts in the field and our #askanSRE panel answering attendees’ questions with a candid generosity, it was an amazing, jam-packed day.

In their presentation at the swampUp 2020 conference, IT service manager Marija Kuester and her team at Siemens AG revealed how they use JFrog Artifactory to deploy and scale their Inner Source Hub service, and meet the challenging needs of their key business stakeholders. In the recorded session, the Siemens team outlined the service architecture with rich insights into the IT service deployment and internal developer adoption.

Deploying a new feature to production is a momentous occasion. It's important to ensure that everything goes properly at this stage, as deployments tend to be error-prone when not handled correctly. To examine why this is and how you can avoid it, let's take a look at the different types of deployments available and where some of them fall short.

Kubernetes provides a powerful networking model for microservices. One of the pillars of this model is that each pod has its own IP address and is directly addressable within the cluster. As a consequence, each Kubernetes cluster usually has a flat virtual network that external hosts can’t reach directly. That means routing traffic from clients outside the cluster to services deployed inside the cluster requires some additional work.