We’re back! That’s right, we have a new episode of Exception Perceptions to share with y’all. This is part 2 of of our Star Wars series, and this time we’re talking all about using errors to better understand user behavior.
Complex distributed systems run just about every service imaginable. Healthcare systems that monitor patient health, security systems, and financial systems are all mission-critical. Downtime, or lack of availability, loses money and can even put lives at risk. These systems must be monitored. Many measurements are useful to keep systems running with as little downtime as possible. One of those is Mean Time To Recovery. (MTTR.)
Meet the Honeycomb Beeline for Ruby. Like our Beelines for Go and Node, it understands the common packages you’re using and automatically instruments them to send useful events to Honeycomb. Then once you’ve got a chance to explore your app’s behavior, you can add custom fields specific to your app with just one line of code.
DevOps is changing the way companies develop and maintain software. By embedding operations engineers into software development teams, companies are reducing the average number of days from code completion to live production and eliminating wait time and rework, among other benefits. But as I pointed out in my previous post “Performance Testing in a DevOps World” performance testing remains the weakest link in the process.
Picking the right tools to handle the deployment will depend on your environment. Since there are so many ways to deploy to Azure services, we won't be able to get into the weeds, but I will cover enough so that you can hopefully find the right deployment solution for you.
It’s no secret that Kubernetes is the leader when it comes to container orchestration platforms. Since its 2014 release, the open source project has taken the world by storm and become one of the biggest success stories in the open source community.
Many enterprises are at the brink of digital transformation, which entails adopting new technologies that process a sea of both personal and enterprise-level data. Despite a surging number of innovations to prevent evolving cyber threats from hijacking that data, the sheer number of successful, high-profile data breaches and attacks recently highlight the insufficient security practices of organizations around the globe.
We live in a world of big data, where even small-sized IT environments are generating vast amounts of data. Once an organization has figured out how to tap into the various data sources generating the data, and the method for collecting, processing and storing it, the next step is analysis.
With the new privacy law updates in the form of the EU General Data Protection Regulation (GDPR), data privacy has become a hot topic. AppDynamics SaaS customers can be assured that AppDynamics and Cisco have also been preparing for GDPR readiness to help our customers with this new regulation.
We’ve significantly expanded our Pivotal Cloud Foundry (PCF) performance monitoring capabilities, adding an intuitive dashboard, new metrics, and advanced capabilities to deliver powerful insights into your PCF applications.
