This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Boost your operational resilience: Combining availability and security is now essential. Leverage AI for proactive protection: AI and contextual analytics are game changers, automating the detection, prevention, and response to threats in real time. Its time to adopt a unified observability and security approach.
Dynatrace Live Debugger makes troubleshooting efficient, seamless, and non-disruptive. At Dynatrace, we understand your challenges when dealing with external packageswhether you’re hustling with reverse engineering, automatically fetching open source code, or playing the guessing game.
Game Analytics Yimeng Tang , Claire Willeck , SagarPalao User Acquisition Incrementality for NetflixGames Netflix has been launching games for the past three years, during which it has initiated various marketing efforts, including User Acquisition (UA) campaigns, to promote these games across different countries.
Then, boom a performance or availability issue pops up. Together with the upcoming Dynatrace plugin for Gemini Code Assist, it keeps developers inside their editor and surfaces real-time performance and availability problems with their root cause all without breaking focus. You know that feeling when you’re deep in the zone?
These game-changing features elevate your data interactions, opening up vast possibilities for advanced queries and efficient data management tailored to your needs. Unlock deeper insights Using Dynatrace Query Language (DQL), you can extract game-changing insights from raw span data with precision.
These insights have shaped the design of our foundation model, enabling a transition from maintaining numerous small, specialized models to building a scalable, efficient system. At inference time, when multi-step decoding is needed, we can deploy KV caching to efficiently reuse past computations and maintain lowlatency.
Incremental Backups: Speeds up recovery and makes data management more efficient for active databases. Performance Optimizations PostgreSQL 17 significantly improves performance, query handling, and database management, making it more efficient for high-demand systems. Start your free trial today!
HAProxy is one of the cornerstones in complex distributed systems, essential for achieving efficient load balancing and high availability. More importantly, HAProxy is critical in upholding high availability — a fundamental requirement in today's digital landscape where downtime can have significant implications.
A Validation Framework For Unreal Engine By Adam Davis, Jimmy Fusil, Bhanu Srikanth and Girish Balakrishnan Game Engines in Virtual Production The use of Virtual Production and real time technologies has markedly accelerated in the past few years. Virtual Production?—?A
The system could work efficiently with a specific number of concurrent users; however, it may get dysfunctional with extra loads during peak traffic. For example, the gaming app has to present definite actions to bring the right experience. An app is built with some expectations and is supposed to provide firm results.
Several pain points have made it difficult for organizations to manage their data efficiently and create actual value. Limited data availability constrains value creation. This approach is cumbersome and challenging to operate efficiently at scale. Even in cases where all data is available, new challenges can arise.
While this is a relatively stream-lined process, it is not as efficient if a candidate is interested in or qualified for multiple roles within the organization. Some of the areas for which we are actively seeking backend engineers include Streaming & Gaming Technologies, Product Innovation, Infrastructure, and Studio Technologies.
How To Build A Real-Time Multi-User Game From Scratch. How To Build A Real-Time Multi-User Game From Scratch. The same night I set out to build the first prototype for a game that would become Autowuzzler. The game stage was embedded in a Next.js and wanted to focus mainly on the game. Martin Grubinger.
Incorporating synthetic monitoring and observability-driven automation can greatly streamline the workflow for DevOps teams, allowing for continuous improvements in system reliability and efficiency. As illustrated by the Jenga game metaphor, even minor changes in complex infrastructure can topple the entire tower.
State and local agencies must spend taxpayer dollars efficiently while building a culture that supports innovation and productivity. APM helps ensure that citizens experience strong application reliability and performance efficiency. Forty-three percent of respondents plan to use more in the next year and a half.
The Databases app is the only tool you need to monitor and understand the availability and performance impact of all your observed databases. This data equips you to adjust and optimize systems for peak efficiency. Figure 5: Statement performance overview shows time-waited statistics for database statements What’s next?
AI-enabled chatbots can help service teams triage customer issues more efficiently. Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. What is explainable AI?
This is only possible because of our no-index approach and massive parallel processing capabilities, which enable Dynatrace to offer extra-long data retention (15+ months) at full granularity that is cost-efficient and fast. With Dynatrace and Smartscape for DQL, metrics are a completely different game.
The time and effort saved with testing and deployment are a game-changer for DevOps. The “scheduler” determines the placement of new containers so compute resources are used most efficiently. Initially developed by Google, it’s now available in many distributions and widely supported by all public cloud vendors.
This way, disruptions are minimized, MTTR is significantly decreased, and DevSecOps and SREs collaborate efficiently to boost productivity. The managed plugin pulls data from Dynatrace every 10 min, filters for open events and available root cause and prevents duplication by adding comments to each event processed.
Developers need efficient methods to store, traverse, and query these relationships. Similarly, relationships are essential in many other use cases such as financial modeling, risk analysis, genome research, search, gaming, and others. Social media apps navigate relationships between friends, photos, videos, pages, and followers.
Learn how RabbitMQ can boost your system’s efficiency and reliability in these practical scenarios. Use cases for RabbitMQ encompass areas like order processing in eCommerce, real-time notifications, and multiplayer gaming, showcasing its adaptability to different operational needs. Wondering where RabbitMQ fits into your architecture?
Versatile, feature-rich cloud computing environments such as AWS, Microsoft Azure, and GCP have been a game-changer. Keeping track of performance, response time, and efficiency can be cumbersome, especially when teams use a multicloud strategy that spans cloud environments and on-premises systems. “You
Unlike generic DIY query frontends, the Dynatrace Problems app is a tailor-made solution for efficiently supporting operations use cases. The new problem experience transparently displays all the available details, with prominently displayed root-cause markers to precisely guide your attention.
by Liwei Guo , Ashwin Kumar Gopi Valliammal , Raymond Tam , Chris Pham , Agata Opalach , Weibo Ni AV1 is the first high-efficiency video codec format with a royalty-free license from Alliance of Open Media (AOMedia), made possible by wide-ranging industry commitment of expertise and resources.
December 2 1pm-2pm CMP 326-R Capacity Management Made Easy with Amazon EC2 Auto Scaling Vadim Filanovsky , Senior Performance Engineer & Anoop Kapoor, AWS Abstract :Amazon EC2 Auto Scaling offers a hands-free capacity management experience to help customers maintain a healthy fleet, improve application availability, and reduce costs.
Improving the Cloud - More Efficient Queuing with SQS. Customers from various verticals (media, social gaming, mobile, news, advertisement) such as Netflix, Shazam and Scopely have used SQS in variety of use-cases requiring loose coupling and high performance. Werner Vogels weblog on building scalable and robust distributed systems.
The deep dive data in Dynatrace has then been used to make many system improvements where bottlenecks had been automatically highlighted with the context available for the team to prioritize what to fix first. Finally, “observability-led development” is something the team is working towards over the next 12 months.
With these clear benefits, we continued to build out this functionality for more devices, enabling the same efficiency wins. Throughout this evolution, we’ve been able to maintain high availability and a consistent message delivery rate, with Pushy successfully maintaining 99.999% reliability for message delivery over the last few months.
When the world experiences tougher times, we see organizations turn to technology to gain efficiencies, to transform through digitization and automation. Before concluding his session, Rick thanked our virtual audience again as he looked forward to 2023 being a game-changing year. Powering UP innovations.
Exploring artificial intelligence in cloud computing reveals a game-changing synergy. This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details.
By the end of this series, we hope you will gain an understanding of how Psyberg transformed our data processing, making our pipelines more efficient, accurate, and timely. Psyberg: The Game Changer! Iceberg metadata and Psyberg’s own metadata form the backbone of its efficient data processing capabilities. Let’s dive in!
However, shifting from reactive to proactive cloud operations helps organizations stay ahead of the game. Operations teams can run more efficiently. Organizations hit this cloud operations wall when replacing static virtual machines with dynamic container orchestration and expanding to multicloud environments.
Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs). How digital experience monitoring changes the game.
Like Kubernetes, it allocates resources efficiently and ensures high availability and fault tolerance. Likewise, Red Hat OpenShift helps organizations administer Kubernetes more efficiently. Because it’s based on Kubernetes, OpenShift provides containerization and orchestration of containerized workloads.
Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.
As I have talked about before, one of the reasons why we built Amazon DynamoDB was that Amazon was pushing the limits of what was a leading commercial database at the time and we were unable to sustain the availability, scalability, and performance needs that our growing Amazon.com business demanded. The opposite is true.
In this scenario, it is also crucial to be efficient in resource utilization and scaling with frugality. In short, each cluster is, in reality, a single database with high availability and other functionalities built in. This is due to the multiplexing and the very efficient way ProxySQL uses to deal with high load.
AIOps–one term but two different ball games. Inevitably, this leads to one very important question addressing the efficiency of ML: can such an AI ever keep up with frequent changes and deployments? And of course, this type of information needs to be available to the AI and therefore be part of the entity. Conclusion.
Operational Efficiency: The majority of the changes require metadata configuration files and library code changes, usually taking days of testing and service release to adopt the updates. The adoption of an externalized rule evaluation engine was a major game-changer. three plans and one offer homogeneously applied to all regions.
HDR was launched at Netflix in 2016 and the number of titles available in HDR has been growing ever since. This is achieved by more efficiently spacing the ladder points, especially in the high-bitrate region. Mbps range followed by the four 4K points at 8, 10, 12 and 16 Mbps, as was done on the fixed ladder. Krasula, A. Choudhury, S.
This post mines publicly available data on the pace of compatibility fixes and feature additions to assess the claim. Consistent improvement is the name of the game, and it can still have positive impacts, particularly as users lean on the system more heavily over time. Count of APIs available from JavaScript by Web Confluence.
We launched DynamoDB last year to address the need for a cloud database that provides seamless scalability, irrespective of whether you are doing ten transactions or ten million transactions, while providing rock solid durability and availability. Let’s walk through another gaming example. DynamoDB Refresher.
Today, I'm happy to announce that the AWS Europe (Stockholm) Region, our 20th Region globally, is now generally available for use by customers. With this launch, AWS now provides 60 Availability Zones, with another 12 zones and four Regions expected to come online by 2020 in Bahrain, Cape Town, Hong Kong, and Milan.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content