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ScaleUP 2020 Recap: Introducing Distributed Tracing & More

Today was a monumental day for Logz.io and our entire community. There is nothing more inspiring than seeing how people use the technology we’ve built to enhance their businesses. At ScaleUP 2020, our first ever global user conference, we hosted an exciting day of technical, customer-led sessions with our community. We also had the privilege of unveiling some ground-breaking new solutions and enhancements to our end-to-end cloud-native observability platform.

CloudFabrix announces Observability-in-a-Box with Edge AI Capabilities to simplify and accelerate AIOps deployments

CloudFabrix is enhancing its AIOps platform with native Observability and AI at the edge capabilities to bridge the gap between Observability and AIOps solutions. Enterprises are struggling with unifying multitude of expensive monitoring deployments as well as gaps in observability, specifically for modern application architectures that include usage of microservices, containers and Kubernetes.

IDC Technology Spotlight: Enterprise Cloud-Native Apps and Infrastructure Need Modern Observability

In a new research paper, Mary Johnston Turner, IDC research vice president for cloud management, explains why cloud-native applications and infrastructure require modern observability. IDC's research shows that 97 percent of global enterprises use connected cloud strategies that depend on a diverse mix of on-premises, off-premises, hosted, edge, and public cloud infrastructure.

Click, Fulfill, Wrap, Repeat: Getting Retailers Ready for the 2020 Holiday Season

On Dasher, on Dancer, on Prancer to online. Even Santa’s reindeer don’t know what to expect in the coming months as we brace for a very different retail holiday season. The global pandemic continues to influence shopper behaviors as retailers acknowledge that a playbook doesn’t exist for what’s to come.

Turning Telemetry into Actionable Insight with Moogsoft Observability Cloud

Under the hood, Moogsoft Observability Cloud extends AI-based intelligence so that it starts with raw observability data analysis. It discovers your infrastructure services to collect and analyze the time-series metrics locally, along with turning time-series metrics and event data from your existing tools into actionable insights.

ObservabilityCON Day 4 recap: a panel discussion on observability (and its future), the benefits of Chaos Engineering, and an observability demo showcase

Over the past four days, Grafana Labs' ObservabilityCON 2020 brought together the Grafana community for talks dedicated to observability. We hope you enjoyed all of the sessions, which are available on demand now. (Link to them from the schedule on the event page). The conference wrapped up with predictions and advice from observability experts, lessons in failure, and Grafana Labs team members showcasing ways Grafana and other tools fit into an observability workflow.

The Future of Ops Careers

Have you seen Lambda: A Serverless Musical? If not, you really have to. I love Hamilton, I love serverless, and I’m not trying to be a crank or a killjoy or police people’s language. BUT, unfortunately, the chorus chose to double-down on one of the stupidest and most dangerous tendencies the serverless movement has had from day one: misunderstanding and trash-talking operations.

Modernization Starts With Infrastructure

Today, every company is a software company and digital business is a core strategy for many organizations. To gain the much-needed agility and efficient scalability, companies in all verticals are modernizing their infrastructure by moving to hybrid, multicloud and cloud-native environments. Realizing that modern applications run on modern infrastructure, IT leaders are prioritizing infrastructure modernization initiatives.

Why Is Designing an Effective Application Logging Strategy Important?

Observability is made up of metrics, logs, and traces. These pillars help us understand the behavior of applications under normal execution, which further accelerates identifying anomalies in case of application failure or deviation from normal execution. Logging is not about tracing each and every operation, it is about sensible, consistent, and machine-readable log messages that expose the application behavior.