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Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. This approach has a handful of benefits.
To do this, we devised a novel way to simulate the projected traffic weeks ahead of launch by building upon the traffic migration framework described here. New content or national events may drive brief spikes, but, by and large, traffic is usually smoothly increasing or decreasing.
However, it’s essential to exercise caution: Limit the quantity of SLOs while ensuring they are well-defined and aligned with business and functional objectives. When the SLO status converges to an optimal value of 100%, and there’s substantial traffic (calls/min), BurnRate becomes more relevant for anomaly detection.
In this post, we compare ScaleGrid’s Bring Your Own Cloud (BYOC) plan vs. the standard Dedicated Hosting model to help you determine the best strategy for your MySQL, PostgreSQL, Redis™ and MongoDB® database deployment. This can result in significant cost savings for high traffic applications. SSH Access to Machine. No problem.
Over the course of this post, we will talk about our approach to this migration, the strategies that we employed, and the tools we built to support this. Functional Testing Functional testing was the most straightforward of them all: a set of tests alongside each path exercised it against the old and new endpoints.
RUM, however, has some limitations, including the following: RUM requires traffic to be useful. Because RUM relies on user-generated traffic, it’s hard to indicate persistent issues across the board. Real user monitoring limitations. RUM is ideally suited to provide real metrics from real users navigating a site or application.
One of the several deployment strategies is the blue/green deployment approach: In this method, two identical production environments work in parallel. One is the currently-running production environment receiving all user traffic (let’s say the “blue” one), the other is a clone of it (“green”), but idle.
VPC Endpoints give you the ability to control whether network traffic between your application and DynamoDB traverses the public Internet or stays within your virtual private cloud. Performant – DynamoDB consistently delivers single-digit millisecond latencies even as your traffic volume increases.
Or worse yet, sometimes I get questions about regaining normal operations after a traffic increase caused performance destabilization. But we can discuss common bottlenecks, how to assess them, and have a better understanding as to why proactive monitoring is so important when it comes to responding to traffic growth.
Taiji: managing global user traffic for large-scale internet services at the edge Xu et al., It’s another networking paper to close out the week (and our coverage of SOSP’19), but whereas Snap looked at traffic routing within the datacenter, Taiji is concerned with routing traffic from the edge to a datacenter. SOSP’19.
The scenario Service considerations In this exercise, we wanted to perform a major version upgrade from PostgreSQL v12.16 Then, we need a small downtime window just to move the traffic from the original instance to the upgraded one. to PostgreSQL v15.4.
There are many possible failure modes, and each exercises a different aspect of resilience. Next you record what effect you expect your mitigation strategy to have, which should drop its RPN and then let you focus on the new highest RPN, until there aren’t any high values left.
There are many possible failure modes, and each exercises a different aspect of resilience. Next you record what effect you expect your mitigation strategy to have, which should drop its RPN and then let you focus on the new highest RPN, until there aren’t any high values left.
There aren't a lot of high cards we can draw, but playing them in the right combination offers us a strategy. For example, ghost code - code that is not commented out but will conditionally never be executed - is likely to be confused for real code in a reverse-engineering exercise.
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