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Meaningful Parameter Names in SNMP Events

Enterprise Alert offers the possibility to directly receive SNMP traps and generate alarms from them. The SNMP traps contain a number of parameters that are identified by OIDs. These OIDs are quite cryptic and not very meaningful. So-called MIB files are used to assign meaningful names to the OIDs. The following describes how you can use a script to import such MIB files to display meaningful names instead of OIDs in SNMP events. You can also use these names in alert policies.

Forrester's new Wave report and the consolidation of monitoring

We’re thrilled to share that Datadog has been recognized by Forrester Research as a Leader in its report, The Forrester Wave™: Intelligent Application And Service Monitoring, Q2 2019. Unlike previous industry analyst reports, which focused specifically on application performance or IT operations, this report gives a nod to the changing landscape, where customers want to have a unified view across all components of their software for faster problem detection and diagnosis.

Restify vs. Sails vs. Hapi: Node.js Framework Comparison

In the last decade, Node.js has rapidly risen in popularity as a server-side programming language. With that popularity, we’ve seen no shortage of frameworks aiming to make developers’ lives easier. Although they are lesser-known than other Node.js frameworks, Hapi, Sails, and Restify are a few options that have a lot to offer.

Cross Platform Hybrid Mobile App Development Tools

The world of internet is always changing. The term “Internet of Things” has reshaped the way we live now and companies are no exception. Gone are the days of using a single channel for work flow; most of the businesses rely on multiple devices and platforms to stay connected and manage operations. Owing to the ever-evolving needs of the clients, businesses are going mobile which means their market offering are available on the go.

Open Distro for Elasticsearch: What it Means and Why it's Important

Recently Amazon launched Open Distro for Elasticsearch, a distribution of Elasticsearch with a number of additional features. The project was created out of concern that Elasticsearch was starting to include proprietary features, and that Elastic was straying from its open source roots.