InfoQ Homepage Time Series Data Content on InfoQ
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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.
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Twitter Open Sources Its Telemetry Tool Rezolus for Detection of Short-Lived Anomalies
Twitter Engineering open sourced their telemetry tool called Rezolus, which can detect anomalies in system performance metrics by sampling them at a higher rate.
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Scaling Graphite for Metrics Collection on AWS at Teads Engineering
Teads Engineering shared their story of scaling Graphite deployment from a single server, trying out various approaches like BigGraphite, and finally settling on the go-graphite stack and a custom HA architecture on AWS.
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RedisTimeSeries Module Adds Time Series Database Features to Redis
Redis Labs announced the general availability of a module RedisTimeSeries to provide time series storage and analysis functions.
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Timescale Cloud: Managed Time Series Database on Azure, Google Cloud and AWS
Timescale announced the availability of Timescale Cloud, a fully managed version of their time series database on Azure, GCP, and AWS. It provides time series analysis functions, the ability to scale up and down, visualization integration with tools like Grafana and Tableau, and data encryption.
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Grafana Adds Log Data Correlation to Time Series Metrics
The Grafana team announced an alpha version of Loki, their logging platform that ties in with other Grafana features like metrics query and visualization. Loki adds a new client agent promtail and serverside components for log metadata indexing and storage.
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Inside Stack Overflow’s Monitoring Systems
Nick Craver, architecture lead at Stack Exchange, wrote about their monitoring systems in a recent article. He discussed the philosophy and motivation behind their monitoring strategy and talked about their toolset - mainly Bosun, Grafana and Opserver.