Operations | Monitoring | ITSM | DevOps | Cloud

As the name mentions, this will be something, like a cloud service, that can be triggered based on HTTP(S) requests.

OpenTelemetry is more than just becoming the open ingestion standard for observability. As one of the major Cloud Native Computing Foundation (CNCF) projects, with as many commits as Kubernetes, it is gaining support from major ISVs and cloud providers delivering support for the framework. Many global companies from finance, insurance, tech, and other industries are starting to standardize on OpenTelemetry.

Managing logs is a significant part of an SRE's daily grind. Scattered within heaps of log data are invaluable insights - those small bits of information that can unveil underlying issues and patterns critical for system monitoring and troubleshooting. However, in an era where the volume of logs is astronomical, how do you discern the relevant from the irrelevant? Sumo Logic's array of log analytics features comes to the rescue, wielding the might of artificial intelligence.

Prometheus and Grafana are the two most groundbreaking open-source monitoring and analysis tools in the past decade. Ever since developers started combining these two, there's been nothing else that they've needed. There are many different ways a Prometheus and Grafana stack can be set up.

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?

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.

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.

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.

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.

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.