The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
Data streaming is important for getting insights in real time and reacting to events as fast as possible. Its application is wide, from banking transactions and website click analytics to IoT devices and motorsports. The last example represents a really interesting use case.
In the mid of December, SolarWinds disclosed that the company experienced a highly sophisticated, manual supply chain attack on versions of the Orion network monitoring product released in March – June 2020. The company shared that the attack was most likely conducted by foreign hackers and intended to be narrow, remarkably targeted, and manually executed attack.
In this post we want to lay out typical price which someone would incur in running SigNoz. This would give potential users an idea of what resources they would need to provision & typical monthly cost at different application load and sampling rates.
Our Makefile entry point for developing against the Mattermost Server already tries to simplify things for developers as much as possible. For example, when invoking make run-server, this build tooling takes care of all of the following (among other things!).
Storage devices for networking, or NAS servers are in good health. And no wonder, since we have increasingly more data to save and more need to use them from different locations. Traditionally, NAS servers have been considered a cheaper (and also more limited) alternative to other types of servers. However, NAS servers can also be used to carry out different tasks. But before we get into that, how about we find out more about what a NAS server is?
I’m delighted to announce that Honeycomb has raised $20M in Series B funding, led by e.ventures Growth, with participation from existing investors Scale Venture Partners, Storm Ventures, Next World Capital, and Merian Ventures, and joined by Industry Ventures. Honeycomb has led the conversation and momentum behind observability for years, and now we’re poised to scale the product, community, and practice even further.
In this article, we will build a CI/CD pipeline with the AWS Cloud Development Kit (CDK) and debug a test it using Dashbird’s observability tool. In 2021, continuous integration and continuous delivery, or short CI/CD, should be part of every modern software development process. It helps deliver new features and bug fixes much faster.
Some of you may have seen recently that we are trying to commoditize machine learning through our MLTK smart workflows. Here I’d like to outline another example of an MLTK smart workflow, designed to help improve the usability of the predictive capabilities in ITSI.
