Operations | Monitoring | ITSM | DevOps | Cloud

Tucker Callaway (CEO, Mezmo) and Kevin Petrie (Vice President of Research, Eckerson Group) had a conversation centered around enterprises taking control of their data and the growing need for consolidated collection and management of telemetry data. They discuss how enterprises can optimize telemetry pipelines, take charge of their data, and enhance their observability and security game.

Serverless architectures such as AWS Lambda have created new challenges in debugging code. Without a solid logging framework in place, you could waste precious hours tracking down simple defects in your functions. A strategic logging framework can be a powerful way to track down and resolve bugs. Let’s walk through how to get the most out of logging Lambda functions.

Are you looking for Kubernetes monitoring tools? Then you have come to the right place. Kubernetes has grown to become the container orchestration platform of choice. It simplifies managing your containerized workloads. You get the power of automating deployments, scaling resources, and keeping your applications running smoothly. But with great power comes added responsibility. And like any complex system, Kubernetes needs monitoring.

Netdata introduces its latest feature, the Alerts Configuration Manager, transforming the way users configure and manage alerts in their Netdata environment. This powerful tool integrates directly into the Netdata Dashboard, offering a streamlined and intuitive interface for both novice and experienced users.

While Sentry can automatically detect unhandled exceptions, poor performance, and even signals of user frustration such as rage clicks, there are some problems that only a human can identify. This is where Sentry’s new User Feedback widget can help.

Kubernetes stands out as a powerful orchestrator, managing the deployment, scaling, and operation of containerized workloads. A key component of Kubernetes observability and troubleshooting capabilities is the generation of events. These events serve as vital records, documenting incidents and changes within the cluster, offering real-time insights into the health and dynamics of the system.

As the holiday season rolls in, it’s not just about festive cheer and resolutions; it’s also time for industry leaders to cast their predictions for the new year. This year, Catchpoint’s thought leaders have stepped up with their hottest takes for 2024. Catchpoint experts are envisioning a transformative shift in the monitoring technologies, a heightened focus on performance as a key metric, and an integrated strategy for managing digital performance management.

As the "new guy" here at Cloudsmith (I was named CEO in August), I'm learning more every day about how customers use us to protect their software supply chains. We're doing everything we can to give you a single source of truth for every artifact - whether it's an open source package, a Docker container, a Linux image - that enters your software supply chain, and everything that you produce on the other side.

Its that time again, it’s the end of the year and it’s time to reflect on the things that have happened in the technology world and think about what went well, what didn’t go so well, where cloud providers are investing, and where we think they might be going in 2024.

In a keynote at AI.Dev, Robert Nishihara (CEO, Anyscale) described the shift: A year ago, the people working with ML models were ML experts. Now, they’re developers. A year ago, the process was to experiment with building a model, then put a product on top of it. Now, it’s ship a product, find the market fit, then create customized models. The general-purpose generative AI models available to all of us today (such as ChatGPT) change the way work is done.