InfoQ Homepage Time Series Data Content on InfoQ
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Grafana Unveils Smarter Logs, an MCP Server, and TraceQL Upgrades in Latest Releases
Grafana Labs has published major updates across two of its core observability products: Grafana 12.3, and Grafana Tempo 2.9. The two releases have distinct improvements in monitoring, logs, and tracing for Grafana users.
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Grafana Labs Releases Mimir 3.0 with Redesigned Architecture for Enhanced Performances
Grafana Labs has released Grafana Mimir 3.0. This is a significant advancement for the open-source, horizontally scalable time series database. The release features a new design that separates read and write operations. This change greatly boosts performance, reliability, and cost efficiency for organizations handling metrics at scale.
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Inside Uber’s Query Architecture: Simplifying Layers and Improving Observability
Uber rebuilt its Apache Pinot query architecture, replacing the Presto-based Neutrino system with a lightweight proxy called Cellar and Pinot’s Multi-Stage Engine Lite Mode. The redesign simplifies SQL execution, improves resource management, and ensures predictable performance for large-scale analytics workloads.
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Amazon Timestream for InfluxDB Adds Support for InfluxDB 3 Core and Enterprise
InfluxData has launched InfluxDB 3 Core and Enterprise on Amazon Timestream, offering a high-speed, open-source time-series database for real-time applications. With enhanced security, scalability, and performance, developers can seamlessly integrate with AWS services. InfluxDB 3 redefines data management for AI-driven environments, enabling rapid analytics and decision-making.
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The Open-Source Version of InfluxDB 3 Reaches GA
Two years after releasing the GA version of InfluxData’s enterprise edition, their open-source version also reached that level of maturity. Conceptualised for real-time workloads and ease of running, the core version leaves aside features like long-term storage optimisations, compaction or high availability (HA), read replicas, or fine-grained access controls.
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IBM Granite 3.2 Brings New Vision Language Model, Chain of Thought Reasoning, Improved TimeSeries
IBM has introduced its new Granite 3.2 multi-modal and reasoning model. Granite 3.2 features experimental chain-of-thought reasoning capabilities that significantly improve its predecessor's performance, a new vision language model (VLM) outperforming larger models on several benchmarks, and smaller models for more efficient deployments.
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Inside Netflix’s Distributed Counter: Scalable, Accurate, and Real-Time Counting at Global Scale
Netflix engineers recently published a deep dive into their Distributed Counter Abstraction, a scalable service designed to track user interactions, feature usage, and business performance metrics with low latency. The system balances performance, accuracy, and cost through configurable counting modes, resilient data aggregation, and a globally distributed architecture.
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Timescale Bolsters AI-Ready PostgreSQL with pgai Vectorizer
Timescale recently expanded its PostgreSQL AI offerings with pgai Vectorizer. This update enables developers to create, store, and manage vector embeddings alongside relational data without the need for external tools or additional infrastructure.
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Improving the Efficiency of Goku Time-Series Database at Pinterest
Pinterest has modernized and enhanced its Goku time-series database. The recent updates focus on optimizing storage and resource usage without compromising service quality.
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Inside InfluxDB 3.0: Exploring InfluxDB’s Scalable and Decoupled Architecture
InfluxData recently unveiled the system architecture for InfluxDB 3.0, its newest time-series DB. Its architecture encompasses four major components responsible for data ingestion, querying, compaction, and garbage collection and includes two main storage types. The architecture caters to operating the DB on-premise and natively on major cloud providers.
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Amazon Launches What-If Analyses for Machine Learning Forecasting Service Amazon Forecast
Amazon is announcing that now its time-series machine learning based forecasting service Amazon Forecast can run what-if assessments to determine how different business scenarios can affect demand estimates. What-if analysis is an effective business technique for simulating hypothetical scenarios and stress testing on planning assumptions by recording potential outcomes.
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Building an SLO-Driven Culture at Salesforce
Salesforce built a platform to monitor Service Level Objectives (SLOs). The platform provided service owners with deep and actionable insights into how to improve or maintain the health of their services, to find dips in SLIs, to find dependent services that weren’t meeting their own SLOs, and overall provide a better understanding of customers’ experience with their services.
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Lightstep Connects Tracing and Metrics with New Change Intelligence Feature
Lightstep has released a number of improvements to their observability platform. These include native support for OpenTelemetry metrics, a new underlying time series database, and Change Intelligence, a new feature that looks to connect unusual patterns with impacting changes by bringing together system metrics and trace data.
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AWS Releases Amazon Timestream into General Availability
AWS recently announced the general availability of Amazon Timestream, a serverless purpose-built database that exposes time-series data through SQL. With Amazon Timestream, customers can save time and costs in managing the lifecycle of time series data by keeping recent data in memory and moving historical data to a cost-optimized storage tier based on user-defined policies.
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Predicting the Future, Amazon Forecast Reaches General Availability
In a recent blog post, Amazon announced the general availability (GA) of Amazon Forecast, a fully managed, time series data forecasting service. Amazon Forecast uses deep learning from multiple datasets and algorithms to make predictions in the areas of product demand, travel demand, financial planning, SAP and Oracle supply chain planning and cloud computing usage.