Operations | Monitoring | ITSM | DevOps | Cloud

Performance testing plays a critical role in application reliability. It enables developers and engineering teams to catch issues before they reach production or impact the end-user experience. Understanding performance test results and acting on them, however, has always been a challenge. This is due to the visibility gap between the black-box data from performance testing and the internal white-box data of the system being tested.

Dive into the world of chaos engineering and resilience testing with ephemeral environments, ensuring your systems can withstand unexpected challenges.

Pepperdata’s ability to halve cloud costs at top enterprises may seem radical and new, but it’s absolutely not. Pepperdata has been hardened and battle tested since 2012, and our software is currently deployed on about 100,000 instances and nodes across some of the largest and most complex cloud deployments in the world. We’re an AWS ISV Accelerate partner focused on helping customers save money running Spark on Amazon EMR and Spark and microservices on Amazon EKS.

Observability dashboards are powerful tools that enable teams to visualize and monitor the performance, health, and behavior of their applications and infrastructure. However, building observability dashboards is not a straightforward task, and many organizations make common mistakes hindering their ability to gain meaningful insights and respond to issues effectively.

The rapid software development process that exists today requires an expanding and complex infrastructure and application components, and the job of operations and development teams is ever growing and multifaceted. Observability, which helps manage and analyze telemetry data, is the key to ensuring the performance and reliability of your applications and infrastructure.

It’s been only a few days since the Bun 1.0 announcement and it’s taken social media by storm! And rightly so. Bun promises better performance, and Node.js compatibility and comes with batteries included. It comes with a transpiler, bundler, package manager and testing library. You no longer have to install 15 packages before writing a single code line. It creates a standardised set of tools and addresses the fractured nature of the Node.js ecosystem.

It’s IT Pro Day! It's the time of year we all get together to recognize the hard work IT Pros do all year round. So, let’s gather ‘round the warmth of the server room and share stories of bravery in the face of angry end users, feats of impressive networking skill, cyber defense heroism, and other harrowing IT stories. SolarWinds proudly established IT Pro Day in 2015 to show some much-needed recognition to the IT Pros who keep everything running.

Synthetic monitoring is one holistic technique within the wide world of IT monitoring and application performance monitoring (APM) and it’s focused on web performance. Synthetic monitoring emulates the transaction paths between a client and application server and monitors what happens. The goal of synthetic monitoring is to understand how a real user might experience an app or website. In this article, let’s go deep with this topic.

How do you come to grips with all of the code engineers are committing, pushing, merging, and deploying within your organization? Have you started even looking at that data? If not, you’re missing out on a crucial source of productivity, security, and Software Development Life Cycle (SDLC) data. But how can you get a handle on all of that code-related activity?