On Tuesday, January 26, 2021, Apple released version 14.4 of its iOS, iPadOS, and tvOS products that included patches for three security vulnerabilities that affect iPhone 6s and later, iPad Air 2 and later, iPad mini 4 and later, and iPod touch 7th generation, as well as Apple TV.
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.
When we announced our license change for Elasticsearch and Kibana, moving the Apache 2.0-licensed source code to be dual licensed under both the Elastic License and SSPL, we also mentioned we would work closely with the community on a simplified and more permissive version of the Elastic License. I am happy to share the results with you. The Elastic License is already widely used.
Elasticsearch 7.10 made configuring the lifecycle of your data less complicated. In this blog post I’ll walk through some of the changes, how to use them, and some best practices along the way. Data lifecycle can encompass a lot of stages, so we’ll touch on.
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.
Back in October, we announced the Splunk OpenTelemetry Collector Distribution, which offered the industry’s first production-ready support for OpenTelemetry. This distribution is the recommended way that customers of Splunk’s award-winning observability products capture metrics and traces.
