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Anodot Cloud Cost Management

Anodot's cloud cost management solution enables you to visualize costs in a single screen — across AWS, Azure, GCP and Kubernetes. Anodot leverages proprietary ML-based algorithms to offer root-cause analysis and recommended remediation. With continuous monitoring and deep visibility, you gain the power to align FinOps, DevOps, and Finance teams and cut your cloud bill.

Welcome to the Future of Data Search & Exploration

You have more data coming at you than ever before. Over the next five years, the total amount of digital data is going to be more than twice the amount of data created since the advent of digital storage. With the success of your company often determined by how you anticipate and respond to threats – and leverage meaningful insights – you need the ability to quickly search and find insights in your data, despite this increasing deluge of information.

Best Practices to Maximize Cloud ROI

As businesses shift to a digital-first environment, cloud computing will play a dominant role in delivering greater flexibility and faster innovation. In a recent report by Deloitte, nearly 90% of US-based senior decision makers proclaim cloud to be the cornerstone of their digital strategy. Covid accelerated cloud migration initiatives, with no signs of slowing down. Gartner forecasts worldwide end-user spend on public cloud services will grow by 20.4% in 2022 to a total of $494.7 billion.

Exporting Splunk Data at Scale: See a Need, Fill a Need

The Core Splunk platform is rightfully recognized as having sparked the log analytics revolution when viewed through the lenses of ingest, search speed, scale, and usability. Their original approach leveraged a MapReduce approach, and it still stores the ingested data on disk in a collection of flat files organized as “buckets.” These immutable buckets are not human-readable and largely consist of the original raw data, indexes (.tsidx files), and a bit of metadata.

Kubernetes on the Edge: Getting Started with KubeEdge and Kubernetes for Edge Computing

Developers are always trying to improve the reliability and performance of their software, while at the same time reducing their own costs when possible. One way to accomplish this is edge computing and it’s gaining rapid adoption across industries. According to Gartner, only 10% of data today is being created and processed outside of traditional data centers.

How to parse body text into Elastic App Search during data ingestion

Elastic App Search allows developers to bring the power of Elasticsearch to mobile apps in a pretuned search experience. When parsing body text, the App Search crawler extracts all the content from the specified website and spreads it in fields depending on the HTML tags it finds. Text within title tags are assumed as title field, anchor tags are parsed as links, and body is parsed as one giant field with everything else.

Real-Time Energy Management with InfluxDB and eSoftLink IoT Platform

Smart energy IoT platforms are empowering consumers to track energy usage and even control spend based on their next bill’s forecast. Yet eSoftThings, a specialist in the Internet of Things (IoT) and artificial intelligence (AI), set out to push smart energy management even further, for both consumers and utility companies, through its IoT platform eSoftLink.

A new look for Delight, the free, cross-platform monitoring UI for Spark

Delight is a free, cross-platform monitoring UI for Apache Spark featuring: You can install it on top of any existing Spark infrastructure – EMR, Databricks, Spark-on-Kubernetes open-source, Cloudera/Hortonworks, … – by attaching an open-source agent to your Spark applications. Delight consists of an open-source agent attached to your Spark job, and a hosted backend accessible at delight.datamechanics.co.