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By Pavithra Parthiban
Prometheus is an open-source monitoring and alerting toolkit that helps developers and operators track the performance and health of their systems. One of its key features is the ability to use buckets to measure and analyse distributions of data. Buckets are essential for tracking HTTP request durations, database query times, and memory usage, helping to understand system behaviour.
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By Pavithra Parthiban
With systems more interconnected than ever, the ability to communicate quickly and efficiently has become crucial today. This is where gRPC, an open-source framework by Google, comes in to transform the way APIs are designed and utilized. In this blog, we will explore what gRPC is, how it works, how it differs from existing protocols like REST, and the best practices for Optimizing its full potential.
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By Sujitha Sakthivel
Long-running queries in MySQL can significantly impact the performance and availability of your database. They can consume server resources, lock tables, and block other queries, leading to cascading performance issues. In this blog, we will explore why long-running queries occur, how to detect them, and best practices for managing and optimizing them.
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By Pavithra Parthiban
PHP 8.4 introduces several exciting features, improvements, and optimizations. This blog enhances usability, performance, and security, paving the way for more efficient and expressive coding. Let’s dive into the most notable features of PHP 8.4.
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By Sujitha Sakthivel
Managing log files effectively is crucial for ensuring a well-performing, reliable system. Logrotate, a popular log management tool, provides a flexible way to automatically rotate, compress, and remove old logs. Among its many configurations, two common approaches to trigger log rotation are size-based and time-based rotation. In this blog, we will explore the differences between these methods, compare their use cases, and help you decide which approach (or combination) suits your needs best.
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By Pavithra Parthiban
ClickHouse, a columnar database designed for high-performance real-time analytics, is excellent at handling large datasets with speed and efficiency. However, performance issues can occur due to factors like unoptimized queries, resource contention, or improper configuration. As data and query complexity grow, keeping ClickHouse fast can be challenging. This blog will explore common bottlenecks, how to diagnose and resolve them, and include a Python script for automating diagnostics. Lets get started!
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By Pavithra Parthiban
Heroku is a popular platform for deploying and scaling applications, and one of its standout features is its centralized logging system. Heroku logs give you visibility into your application’s behaviour, infrastructure events, and platform activities. When paired with a robust monitoring solution like Atatus, you can transform raw log data into actionable insights that keep your applications running smoothly.
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By Pavithra Parthiban
Atatus database monitoring takes you to the next level by offering comprehensive tools to track query performance, uncover bottlenecks, and optimize database efficiency. A core feature of our database monitoring is query signatures, where we leverage MurmurHash to generate unique, consistent identifiers for normalized SQL queries. This enables efficient aggregation and analysis of query metrics, even for complex workloads.
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By Pavithra Parthiban
OpenTelemetry and OpenTracing are two closely connected open-source projects that enhance observability in modern distributed systems. They are designed to instrument application code for generating telemetry data. OpenTelemetry is a comprehensive, vendor-neutral framework that helps capture various types of telemetry data, while OpenTracing focuses specifically on tracing and provides a way to instrument applications for that purpose.
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By Pavithra Parthiban
If you have ever faced performance issues in an application, whether it's sluggish load times, long processing delays, or poor scalability you have probably been told that optimizing the code or database is the solution. But what does that really mean in practice? A lot of the time, it boils down to one of two causes: either a poorly optimized algorithm (often with quadratic or exponential time complexity) or an inefficient database query.
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