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Efficient database operations in middleware can dramatically improve overall system performance, reduce latency, and enhance user experience. This blog post explores various techniques to optimize database performance , specifically in the context of middleware applications.
This gives fascinating insights into the network topography of our visitors, and how much we might be impacted by high latency regions. Round-trip-time (RTT) is basically a measure of latency—how long did it take to get from one endpoint to another and back again? What is RTT? RTT isn’t a you-thing, it’s a them-thing. Go and sign up.
Optimized performance and enhanced customer experiences. This local SaaS presence minimizes latency and maximizes the speed and reliability of data access. Dynatrace on Microsoft Azure allows enterprises to streamline deployment, gain critical insights, and automate manual processes. The result?
A common query from users revolves around the precise measurement of latency in APISIX. When utilizing APISIX, how should one address unusually high latency? In reality, discussions on latency measurement are centered around the performance and response time of API requests.
By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction.
What about single-core performance? “Latency” is the duration from the execution of a load instruction (to an address that misses in all the caches), and the completion of that load instruction when the data is returned from memory. The example below is for a 2005-era processor with 60 ns memory latency and 6.4
This versatility provides a cost-effective solution to reduce global network latency by bringing the database closer to the end user. PolyScale operates a global network of PoPs (Points of Presence). Think of PoPs as regional database connections.
A quick canary test was free of errors and showed lower latency, which is expected given that our standard canary setup routes an equal amount of traffic to both the baseline running on 4xl and the canary on 12xl. What’s worse, average latency degraded by more than 50%, with both CPU and latency patterns becoming more “choppy.”
While Microsoft offers their own Azure Database product, there are other alternatives available that may be able to help you improve your MySQL performance. In this blog post, we compare Azure Database for MySQL vs. ScaleGrid MySQL on Azure so you can see which provider offers the best throughput and latencyperformance.
With the rise of microservices architecture , there has been a rapid acceleration in the modernization of legacy platforms, leveraging cloud infrastructure to deliver highly scalable, low-latency, and more responsive services. Traditional blocking architectures often struggle to keep up performance, especially under high load.
Service Level Objectives (SLO) tracking: Honeycomb charts can visualize SLOs, helping you monitor whether your services meet performance and reliability targets. This is useful for identifying performance bottlenecks and understanding the overall user experience. Based on the color, you immediately see if any SLOs are off track.
Upload files with HTML Upload files with JavaScript Receive uploads in Node.js (Nuxt.js) Optimize storage costs with Object Storage Optimize performance with a CDN Secure uploads with malware scans Today, we’ll do more architectural work, but this time it’ll be focused on optimizing performance.
This extends Dynatrace visibility into Citrix user experience and Citrix platform performance. Platform performance —get visibility into the performance of the Citrix platform to optimize application delivery. Dynatrace Extension: SAP ABAP platform performance. Dynatrace Extension: NetScaler performance.
In this post, we are going to compare the performance and pricing of DigitalOcean PostgreSQL vs. ScaleGrid PostgreSQL to help you determine the best PostgreSQL hosting service on DigitalOcean. Compare Latency. lower latency compared to DigitalOcean for PostgreSQL. PostgreSQL DigitalOcean Performance Test. Compare Pricing.
However, the process for effectively scaling Elasticsearch can be nuanced, since one needs a proper understanding of the architecture behind it and of performance tradeoffs. This extra network overhead will easily result in increased latency compared to a single-node architecture where data access is straightforward.
This article outlines the key differences in architecture, performance, and use cases to help determine the best fit for your workload. Architecture Comparison RabbitMQ and Kafka have distinct architectural designs that influence their performance and suitability for different use cases.
This article takes a plunge into the comparative analysis of these two cult technologies, highlights the critical performance metrics concerning scalability considerations, and, through real-world use cases, gives you the clarity to confidently make an informed decision. However, the question arises of choosing the best one.
Compare Latency. On average, ScaleGrid achieves almost 30% lower latency over DigitalOcean for the same deployment configurations. MySQL DigitalOcean Performance Benchmark. We are going to use a common, popular plan size using the below configurations for this performance benchmark: Comparison Overview. Compare Pricing.
CPU isolation and efficient system management are critical for any application which requires low-latency and high-performance computing. To achieve this level of performance, such systems require dedicated CPU cores that are free from interruptions by other processes, together with wider system tuning.
Application performance is critical for delivering a fast and responsive user experience. Slow performance, or high latency, can lead to frustrated users and lost revenue for the organization. From a high level, application latency refers to the delay between the user's request and the application's response.
This article explores SLOs for service performance. According to the Google Site Reliability Engineering (SRE) handbook, monitoring the four golden signals is crucial in delivering high-performing software solutions. SLOs, as a measure of service quality, can track the related availability, reliability, and performance.
Mobile applications (apps) are an increasingly important channel for reaching customers, but the distributed nature of mobile app platforms and delivery networks can cause performance problems that leave users frustrated, or worse, turning to competitors. What is mobile app performance? Issue remediation.
The post will provide a comprehensive guide to understanding the key principles and best practices for optimizing the performance of APIs. What Is API Performance Optimization? API performance optimization is the process of improving the speed, scalability, and reliability of APIs.
This dual-path approach leverages Kafkas capability for low-latency streaming and Icebergs efficient management of large-scale, immutable datasets, ensuring both real-time responsiveness and comprehensive historical data availability. This integration will not only optimize performance but also ensure more efficient resource utilization.
In the fast-paced digital world, where every millisecond counts, understanding the nuances of network latency becomes paramount for developers and system architects. Latency, the delay before a transfer of data begins following an instruction for its transfer, can significantly impact user experience and system performance.
Let's kick off the new year by celebrating someone who has not just had a huge impact on web performance over the past few years, but who has even more exciting stuff in the works for the future: Annie Sullivan! Annie and her team navigate this arduous task with true passion for web performance and for improving the user experience.
by Jason Koch , with Martin Spier , Brendan Gregg , Ed Hunter Improving the tools available to our engineers to help them diagnose, triage, and work through software performance challenges in the cloud is a key goal for the cloud performance engineering team at Netflix. to the broader community.
Benefits of Caching Improved performance: Caching eliminates the need to retrieve data from the original source every time, resulting in faster response times and reduced latency. Reduced server load: By serving cached content, the load on the server is reduced, allowing it to handle more requests and improving overall scalability.
Dynatrace OTel Collector Understand your applications with ease Due to a lack of contextual insights and actionable intelligence, application teams often find themselves overwhelmed by data, unable to quickly identify the root causes of performance issues.
As organizations continue to migrate to the cloud, it’s important to get in front of performance issues, such as high latency, low throughput, and replication lag with higher distances between your users and cloud infrastructure. MySQL on AWS Performance Test. AWS High Performance XLarge (see system details below).
We want to make scale, availability and low latency access to data as easy as possible for everyone, and it’s all about where your data lives. CockroachDB was built to address these challenges and we’ve recently simplified a multi-region deployment of a consistent database down to a few simple, declarative SQL statements applied as DML.
We note that for MongoDB update latency is really very low (low is better) compared to other dbs, however the read latency is on the higher side. The latency table shows that 99th percentile latency for Yugabyte is quite high compared to others (lower is better). Again Yugabyte latency is quite high. Conclusion.
Scaling RabbitMQ ensures your system can handle growing traffic and maintain high performance. Optimizing RabbitMQ performance through strategies such as keeping queues short, enabling lazy queues, and monitoring health checks is essential for maintaining system efficiency and effectively managing high traffic loads.
High performance. Does it affect latency? Yes, you can see an increase in latency. So, if you’re hosting your application in AWS or Azure and move your database to DigitalOcean, you will see an increase in latency. Meltdown Performance Impact on MongoDB: AWS, Azure & DigitalOcean. Simple pricing.
When serving and storing files on the web, there are a number of different things we need to take into consideration in order to balance ergonomics, performance, and effectiveness. Plotted on the same horizontal axis of 1.6s, the waterfalls speak for themselves: 201ms of cumulative latency; 109ms of cumulative download. It gets worse.
Currently, publicly available wifi hotspots are the preferred networks for video consumption, but poor network infrastructure also leads to unbearable video buffering and latency. However, OTT streaming delivery requires something faster than what the internet offers in terms of how chunks/fragments are supposed to flow.
By Jose Fernandez , Sebastien Dabdoub , Jason Koch , Artem Tkachuk The Compute and Performance Engineering teams at Netflix regularly investigate performance issues in our multi-tenant environment. Traditional performance analysis tools such as perf can introduce significant overhead, risking further performance degradation.
Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult. This presents a challenge for IT operations teams, specifically in identifying and addressing performance issues or planning how to prevent future issues.
Allegro experimented with different performance optimization options to improve Apache Kafka producer tail latency and eventually switched all its clusters to the XFS filesystem. The company used Kafka protocol sniffing, JVM profiling, and eBPF, which proved instrumental in identifying and eliminating performance bottlenecks.
Improve AWS performance! As organizations continue to migrate to the cloud, it’s important to get in front of performance issues, such as high latency, low throughput, and replication lag with higher distances between your users and cloud infrastructure.
When organizations implement SLOs, they can improve software development processes and application performance. SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time. SLOs improve software quality.
A lot of companies—even if they are aware that performance is key to their business—are often unsure of how, when, or where performance testing sits within their development lifecycle. To make things worse, they’re also usually unsure whose responsibility performance measuring and monitoring is.
The first phase involves validating functional correctness, scalability, and performance concerns and ensuring the new systems’ resilience before the migration. These include Quality-of-Experience(QoE) measurements at the customer device level, Service-Level-Agreements (SLAs), and business-level Key-Performance-Indicators(KPIs).
The Journey to HTTP/3 Network performance, such as low latency and high throughput, is critical to Pinners’ experience. The aim was to enhance the user experience and improve critical business metrics by leveraging the capabilities of the modern HTTP/3 protocol.
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