InfluxDB IOx Tech Talks - December 2020 edition
InfluxDB IOx Tech Talks: A Rusty Introduction to Apache Arrow and How it Applies to a Time Series Database Paul Dix and Andrew Lamb provide an update on InfluxDB IOx and live Q&A.
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Analytics
Outlier Detection: The Different Types of Outliers
Time series anomaly detection is a tool that detects unusual behavior, whether it's hurtful or advantageous for the business. In either case, quick outlier detection and outlier analysis can enable you to adjust your course quickly, before you lose customers, revenue, or an opportunity. The first step is knowing what types of outliers you’re up against. Chief Data Scientist Ira Cohen, co-founder of Autonomous Business Monitoring platform Anodot, covers the three main categories of outliers and how you'll see them arise in a business context.
A Beginner's Guide to Microsoft Power BI & Network Reports
As a network admin or a network manager, you’re likely using a ton of software and tools—from network monitoring tools like Auvik to ITSMs like ServiceNow to communications apps like Microsoft Teams. With a lot of tools comes a lot of data, which can show you how your network and your team are performing over a period of time. The challenge is putting all of those pieces together to see the bigger picture.
Splunk Named a Leader in The Forrester Wave: Security Analytics Platforms, Q4 2020
We’re thrilled to share the news that Splunk has been named a Leader in The Forrester Wave™: Security Analytics Platforms, Q4 2020. It’s an honor to be named a Leader by Forrester. We view it as an affirmation of our commitment to customer success and a reflection of our ability to understand their needs. Through close collaboration with our customers, we have developed innovative solutions to protect their data hosted in on-premises, hybrid or multi-cloud environments.
BigPanda Event Correlation and Automation Overview
BigPanda allows you to resolve incidents quickly and easily in real-time, and drive IT Ops performance using reports and analytics. Here's a quick overview of the Incident 360 and Analytics consoles.
Analytic Workloads from BI to AI with VMware Tanzu Greenplum
VMware Tanzu Greenplum is a massively parallel processing (MPP) data platform based on the open source Greenplum Database project. It’s designed to run the full gamut of analytical workloads, from BI to AI. Because enterprise data lives and grows throughout an organization, it is suboptimal to copy large data sets between different systems as they aren’t able to perform fast enough, scale high enough, or offer the right features.
Pushing boundaries with Elastic Maps 7.10
Elastic Maps added several exciting features with the release of Kibana 7.10 that let you do even more with your location data. From making it easier to upload files with latitude and longitude fields to being able to trigger an alert when something moves across a boundary, there are a host of jaw droppingly cool new things to check out. I’ll be providing a good overview in this blog, but to see the real magic, I’d suggest: Now onto the good stuff!
TL;DR InfluxDB Tech Tips - Monitoring Tasks and Finding the Source of Runaway Cardinality
So you’re using InfluxDB Cloud, and you’re writing millions of metrics to your account. You’re also running a variety of downsampling and data transformation tasks. Whether you’re building an IoT application on top of InfluxDB or monitoring your production environment with InfluxDB, your time series operations are finally running smoothly. You want to keep it that way.
Discover InfluxDB on the Amazon Elastic Container Registry Public (Amazon ECR Public)
We are excited to partner with AWS and announce the availability of InfluxDB on the new Amazon Elastic Container Registry Public announced this week at AWS re:Invent. With this new registry, developers can now find their favorite open source products from within the AWS developer experience. At InfluxData, we believe it is important to bring our product — InfluxDB — to the platforms and ecosystems where our developers are building. And of course, many of our developers are building on AWS.
How JetBrains uses .NET, Elasticsearch, CSVs, and Kibana for awesome dashboards
Recently, the JetBrains .NET advocacy team published a deep-dive post powered by data we retrieved from the official NuGet APIs with the goal of better understanding our community's OSS past and trying to predict trends into the future. This resulted in a giant dataset. Given our experience with Elasticsearch, we knew that the best tool to process millions of records was what we're calling the NECK stack: .NET, Elasticsearch, CSV, and Kibana.