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Simplified onboarding using configuration rules

If your business is growing, then so too must your IT infrastructure. Servers, VMs, databases, nodes, pods, containers, and all of your digital resources spawn up and down—all in accordance to your business' needs. The catch is all of these infrastructure elements have to be monitored without it being a herculean task to your team to do so. Here are some pain points that arise every time a server or VM is added: Configuration rules will help you solve all these problems and more.

Simplified device health monitoring and mapping for software-defined networks

Are you juggling too many different types of network monitoring dashboards at once? If you're using software-defined networks (SDNs) and also managing traditional networks, it can be quite challenging to monitor them both at the same time since you need to remember which tool is responsible for monitoring which network and keep switching between them. Doing this can be a real hassle, but worry not!

How can multi-step synthetic transaction monitoring help your online business?

Multi-step synthetic transactions, also known as multi-step transactions or multi-step scripts, are automated tests that simulate complex user interactions with a website or web application. Unlike a single-step transaction (like page load), multi-step transactions involve a series of sequential steps or workflows that mimic real-world user journeys.

Synthetic monitoring for TFA-backed applications

Two-factor authentication (TFA, sometimes 2FA) is a crucial security measure that adds an extra layer of protection to your online account. It goes beyond the traditional password-based authentication by requiring a second form of verification. In TFA-backed applications, users are supposed to provide two forms of verification before gaining access to their accounts.

Ensure continuous delivery by monitoring Jenkins pipeline performance

Jenkins pipelines play a pivotal role in achieving continuous delivery in software development processes. Continuous delivery (CD) is a software delivery approach aimed at ensuring that code changes are systematically and automatically prepared for release to production. In modern software development practices, CD pipelines streamline the process of building, testing, and deploying software, enabling organizations to accelerate software delivery and provide value to its customers.

Monitoring diverse IT endpoints with custom SNMP monitoring

As our world becomes more connected, the number of network devices is growing at an unprecedented rate. This poses a challenge for network administrators who need to keep track of all the devices that are added to their network every day. Relying only on monitoring tools with a standard device repository may no longer be sufficient, leading to monitoring gaps and leaving the network vulnerable to potential security risks. Imagine that you have a device that appears as "unknown" in your monitoring tool.

Optimizing the performance of Flutter apps with Site24x7 mobile APM

F lutter, a powerful and versatile open-source framework developed by Google, can be used to develop a wide range of applications across multiple platforms. Th is framework comes with pre-built widgets that developers can use to build an application's UI layouts, making it incredibly easy to use.

12 best practices for DevOps and IT teams to handle monitoring alerts

"Music is noise that makes sense," said author Yann Martel, implying that if a sound doesn't make sense, then it is perceived as just noise. Noise can thus be defined as any alert that affects our senses and disturbs our peace without adding any value. The digital age drowns us in stimuli of all kinds all the time, making the struggle to ignore noise in order to filter for sense harder than ever.

Why you should monitor microservice mediator APIs

Microservice mediator APIs provide a flexible, scalable, and decentralized approach to microservices communication, enabling organizations to build robust, modular, and maintainable applications. They shield microservices from the details of the other implementations and promote loose coupling, helping to ensure autonomy, scalability, and independence among microservices.