Social Media Ideas for Data Performance

Throughput vs Goodput: The Performance Metric You Are Probably Ignoring in LLM Testing

In this blog post, we will see the difference between throughput and goodput, why throughput alone can give you a dangerously false sense of confidence, and how goodput, the metric...

BI Serving Pointers; Maximizing for Performance and TCO

Your BI dashboards are slow, and tuning them is costing too much time and money.It's...

Real-Time Monitoring of JMeter Load Tests with Grafana and InfluxDB

Running a load test without real-time visibility is a bit like flying a plane without instruments. JMeter produces rich performance data — response times, throughput, error rates,...

Database Performance Testing: From Hidden Bottlenecks to Production-Ready Releases

Database bottlenecks often stay hidden until production traffic exposes them. This blog explains how enterprises can use Database Performance Testing to detect query, schema, concu...

Amazon Redshift delivers faster performance for BI dashboards and real-time analytics

Today, we’re excited to announce a new performance optimization in Amazon Redshift that improves the response times of low-latency SQL queries, such as those used in real-time anal...

Ramping Up to Modern Performance - Key takeaways

What AI benchmarks miss about real-world performance

Presented by F5Enterprise AI teams have spent years solving for compute, securing GPU allocations, negotiating cloud capacity, and benchmarking training throughput. The assumption...

Performance Testing RAG Applications: Complete Engineering Guide

In this blog post, we will see how to perform a performance test on a retrieval-augmented generation (RAG) application properly, covering both speed and correctness, and how to wir...

How Query Sampling Improves Database Performance

Full query capture and query sampling are the two techniques that engineering teams rely on for optimizing database performance. Some people assume that full query capture is the s...

AI-powered performance recommendations for Amazon Redshift

In this post, you learn how to build an AI-powered solution that collects the telemetry, pre-computes performance signals, correlates them with CloudWatch, and uses Amazon Bedrock...

Debugging and Performance Tuning in Pega Using PAL, Tracer, and Clipboard

Performance defects in Pega rarely present as a single, obvious fault. A slow harness render, an unexpected stage transition, a case that opens correctly but saves slowly, or a dat...

Performance and Apache Iceberg's Metadata

This is Part 3 of a 15-part Apache Iceberg Masterclass. Part 2 covered the metadata structures of all five table formats. This article focuses on exactly how query engines use Iceb...

Deep dive: How Lightning Engine delivers 4.9x faster Apache Spark performance

From foundational ETL and analytics to the frontier of generative AI, Apache Spark serves as the architectural backbone for global data processing. However, as data volumes scale,...

A systematic approach to benchmarking SQL processing engines on AWS

Selecting the right SQL processing solution for large-scale data analytics is a critical decision for organizations. As data volumes grow exponentially, the technology landscape ha...

Specbee: How to optimize your Drupal website's performance and pass core web vitals (a practical guide)

Slow Drupal site costing you rankings? Learn some impactful fixes that work - caching, images, hosting, and the Drupal 11.3 improvements worth knowing about. Included is a real cas...

Intelligence Per Dollar

Yesterday Microsoft added a new metric to a model release card, one that will likely become a standard.1 Average token usage. In the first row, the Microsoft model hits 71.6 on SWE...

From Open SQL to CDS Views: Rewriting SAP Data Access for Performance at Scale

Modern SAP landscapes running on SAP HANA demand a rethink of how ABAP programs access data. Traditional Open SQL queries embedded in ABAP code have served developers for decades,...

Optimizing I/O Performance in .NET

I/O operations impact application responsiveness, scalability, and costs. Enhancing file access, HTTP requests, and networking improves user experience while reducing resource cons...

Snowflake Postgres Powers Low-Latency ML Feature Serving

Snowflake's ML team chose Snowflake Postgres to power their Online Feature Store — demonstrating 2.5x lower latency and 7x higher QPS than Databricks Lakebase in production benchma...

Feature Flag Debt: Performance Impact in Enterprise Applications

Feature flags have become standard practice in enterprise applications, enabling teams to release code into production environments without exposing new features to users. As teams...

Records in Production: Where They Shine and Where They Silently Fail

Records are one of the most genuinely useful additions to modern Java. They eliminate boilerplate, communicate immutability at the type-system level, and compose beautifully with s...

How RF Engineers Analyze LTE & 5G KPIs Using Excel (Before Automation)

Every LTE and 5G network generates an enormous amount of performance data every day. Base stations report thousands of Key Performance Indicators (KPIs), including accessibility, r...

Optimizing High-Volume REST APIs Using Redis Caching and Spring Boot (With Load Testing Code)

High-volume REST APIs can easily become bottlenecked by database access, leading to high latency and poor throughput. Even after optimizing SQL queries and adding indexes, a databa...

Measuring Content Performance Effectively

Ever stare at a traffic spike and still have no idea whether that post actually helped your business? Measuring Content Performance Effectively starts when you stop treating pagevi...