Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Introducing Boolean-filtered metric queries

Health and performance issues are easier to understand—and to troubleshoot—when you can use tags to aggregate your data across many overlapping scopes. But while some scopes come directly from your infrastructure, others are constantly evolving to reflect the needs of your product or organization. You can only track your data effectively if you can define—and redefine—your scopes on the fly.

2 ways to set up static IP addresses for ALB

One highly requested feature of AWS’s Application Load Balancer is the ability to assign static IP addresses. Unfortunately, ALBs do not support this feature and it is unlikely they will in the near future. Today, the only way to achieve static IP addresses for your application behind an ALB is to add another layer in between the client and your ALB which does have a static IP address, and then forward requests to your ALB.

Introducing Serverless360 Cloud Docs (Preview)

Cloud Docs feature in Serverless360 helps you to document your Microsoft Azure Subscription. It comes with the capability to aggregate data from disparate Resource Providers in Microsoft Azure in a single report. This allows for the creation of composite technical documentation across resources enabling richer insights that would otherwise be impossible. Interpreting your cost and resource information on Microsoft Azure subscription into legible documentation is what Cloud Docs are for.

Netdata named to the Forbes Cloud 100 Rising Stars

We’re excited to announce that we’ve been named to the Forbes 2020 Cloud 100 Rising Stars. This is a list of the top 100 private cloud companies in the world, published by Forbes in partnership with Bessemer Venture Partners and Salesforce Ventures. The 20 Rising Stars represent young, high-growth and category-leading cloud companies who are poised to join the Cloud 100 ranks.

Netdata Agent v1.25 and Cloud enhancements

The v1.25.0 release of the Netdata Agent delivers on our commitment to make our metrics collection, visualization, and troubleshooting platform more stable and usable. We enhanced our recently-added Prometheus collector with user-configurable filtering and grouping, made dramatic improvements to the reliability of the Agent-Cloud link that streams metrics on-demand to your browser when you use Netdata Cloud, and more. Let’s jump in and look at each improvement.

Netdata versus Datadog: root cause analysis with metric correlations

When an incident strikes, and every minute spent on root cause analysis delays the time to resolution, the real-world consequences can be dire. Troubleshooting an event requires a certain data set: every metric, at the greatest granularity, in one place, available in real time. Limits on the number or type of metrics, collection frequency, or time to visualization can mean the difference between timely resolution and unacceptable losses in time, money, and productivity.

Introducing our first Netdata Cloud Insights feature: Metric Correlations for faster root cause analysis

Today, we are excited to launch our first Netdata Cloud Insights feature, Metric Correlations, developed for discovering underlying issues more quickly and identifying the root cause more efficiently. Read on to learn more about our approach to developing this new feature, how it works, and the many benefits you’ll find incorporating this into your team’s troubleshooting workflow.

Monitor Your Azure VM's Using Event Grid and Logic Apps

With the accelerated pace of digital transformation, DevOps, adoption of new platforms, and also managing cloud resources are becoming increasingly challenging for central IT. Applying available best practices, compliance requirements and cost management are adding to the challenge. With the Serverless technologies, customers can apply such policies to cloud resources and run them over a long time.

Reimagine All You Have Learned: APM and the Skills Gap

APM tools have been formerly and primarily siloed in the application development arena, with only the most important and mission-critical applications having their APM instrumentation extended into production use due to complexity and cost. In the modern world of application monitoring, the requirements for Dev and Ops need to be tightly integrated.