Operations | Monitoring | ITSM | DevOps | Cloud

Software-Defined Wide Area Network (SD-WAN) technology is revolutionizing the way organizations manage their network traffic. With its ability to decouple the data plane from the control plane, SD-WAN provides organizations with a more flexible, scalable, and cost-effective solution for managing their network traffic. However, understanding and troubleshooting SD-WAN performance can be a challenge, especially when it comes to the underlying physical network, or underlay.

Growth of cloud computing and the preference for data-driven decision-making have led to a steady increase in investments in observability over the years. Telemetry data is recognized as not only critical for maintaining a company’s infrastructure, but also for aiding security and business teams in making informed decisions. However, just increasing investment in observability technology is not enough.

Remember the first time you were at a wedding, or a party and you learned about dances like The Electric Slide? You know, those dances with a clear structure and steps to follow, which were a huge help to someone who was slightly challenged on the dance floor, like me? All you had to do was learn a few simple steps, and you could hang with even the best dancers.

Azure App Service is a platform as a service (PaaS) offering from Microsoft Azure that allows developers to quickly build, deploy, and scale web apps and APIs on Azure. Azure App Service is designed to be highly scalable, allowing you to easily scale your application to meet changing traffic demands. One of its most important features is auto-scaling, which allows your application to automatically adjust the number of instances it’s running based on changes in traffic or demand.

SQL and NoSQL are two database technologies widely adopted by many organizations for different use cases. Both technologies share the common goal of efficiently processing and managing data. Still, there are some significant differences. This article compares SQL and NoSQL, exploring their key differences in terms of language, structure, scalability, properties and support. We’ll also discuss examples, pros and cons and the most suitable application areas for each database type.

At Lumigo, we heavily depend on a set of tests to deploy code changes fast. For every pull request opened, we bootstrap our whole application backend and run a set of async parallel checks mimicking users’ use cases. We call them integration tests. These integration tests are how we ensure: Recently, we changed our old “traditional log traversing” of integration tests into *amazing* OpenTelemetry traces graphs.

“In this bleak world where technology has become a vital necessity, IT Service Management (ITSM) has become a key tool for many businesses.” It sounds like the introduction to a dystopian novel, doesn’t it? Easy, it’s not like that, today I didn’t get up very like Aldous Huxley. We will rather answer the question: What is ITSM exactly?

Everything you need to know about Prometheus Remote Write mechanism and storing metrics in long term storage such as Levitate.

In today's fast-paced software development world, Ephemeral Environments have emerged as a game-changer. These temporary, mirror-like copies of production environments are invaluable tools for testing code changes, debugging, and various development tasks. They offer developers a safe haven to experiment and test without impacting the stability of the production environment. One of the primary benefits of Ephemeral Environments is their fidelity to the production environment.

While more observability vendors are providing tracing ingestion and visualization as part of their core service, only Coralogix, the leading in-stream observability platform, supports a set of data optimization features that drive down cost, maximize insights and create a scalable tracing strategy unlike others.