Hydrolix is a streaming data lake platform designed to handle large amounts of immutable log data at a lower cost than traditional solutions. The platform is particularly well-suited for observability data and offers real-time query performance on terabyte-scale data. Hydrolix uses an ANSI-compliant SQL interface, is schema-based and fully indexed, and is designed for high-cardinality data. It is purpose-built for log data and focuses on data that comes in once and never changes. Hydrolix is currently used by companies in industries like media, gaming, ad tech, and telecom security that require long-term retention of data. The company recently announced a $35 million Series B round, and its technology serves as the basis for Akamai's observability product TrafficPeak. The platform is designed to save costs for companies dealing with billions of transactions a day and terabytes of data, as it can store data for longer periods than traditional solutions like Splunk or Datadog, thereby reducing costs or increasing retention.
A digital twin is a virtual replica of a real-world physical product, system, or process, serving as its digital counterpart for purposes such as simulation, integration, testing, monitoring, and maintenance. The concept originated from NASA in 2010 as an attempt to improve the physical-model simulation of spacecraft. Digital twins exist throughout the entire lifecycle of the physical entity they represent and are the underlying premise for Product Lifecycle Management. In the manufacturing industry, digital twin technology is being extended to the entire manufacturing process, allowing benefits such as virtualization to be extended to domains such as inventory management, machinery crash avoidance, tooling design, troubleshooting, and preventive maintenance. Digital twinning also enables extended reality and spatial computing to be applied not just to the product itself but also to all of the business processes that contribute towards its production.
With the addition of profiling to OpenTelemetry, we expect continuous production profiling to hit the mainstream.
This article explains the differences between observability, telemetry, and monitoring, and how they work together to help teams understand and improve their software systems. It also discusses the benefits of using OpenTelemetry, a standard for creating and collecting telemetry for software systems, and Honeycomb's observability platform.
Honeycomb introduces a new tool, Honeycomb for Frontend Observability, to enhance web application performance. The tool integrates OpenTelemetry instrumentation as an NPM package to collect and analyze Core Web Vitals data, offering actionable insights to improve SEO and site performance.
New Relic's Nic Benders discusses the importance of the Innovation Centre in Hyderabad, their vision for AI, the benefits of their technologies for Indian digital businesses, and more.
OpenTelemetry offers a standardized process for observability, but its functionality is a work in progress. Its usefulness depends on the observability tools and platforms used in conjunction with OpenTelemetry.
This article discusses causal inference, an emerging field in machine learning that goes beyond predicting what could happen to focus on understanding the cause-and-effect relationships in data. The author explains how to detect and fix errors in a directed acyclic graph (DAG) to make it a valid representation of the underlying data.
This article discusses the importance of empowering developers to take control over their applications across environments by adopting live debugging observability practices to reduce the disconnection between developers and their live applications in production.
PySpark for time-series data, discussing data ingestion, extraction, and visualization with practical implementation code.
