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Design a photo-sharing platform similar to Instagram where users can upload their photos and share it with their followers. High Level Design. Component Design. API Design. We have provided the API design of posting an image on Instagram below. API Design. Problem Statement. Architecture. Data Models.
Design an instant messenger platform such as WhatsApp or Signal which users can utilize tosend messages to each other. Currently, he is in the Alexa Shopping organization where he is developing machine-learning-based solutions to send personalized reorder hints to customers for improving their experience. Problem Statement.
Design a location-based social search application similar to Tinder which if often used as a dating service. Currently, he is in the Alexa Shopping organization where he is developing machine-learning-based solutions to send personalized reorder hints to customers for improving their experience. Problem Statement.
This is a guest post by Ankit Sirmorya. Ankit is working as a Machine Learning Lead/Sr. Machine Learning Engineer at Amazon and has led several machine-learning initiatives across the Amazon ecosystem. Ankit has been working on applying machine learning to solve ambiguous business problems and improve customer experience.
Design a video streaming platform similar to Netflix where content creators can upload their video content and viewers are able to play video on different devices. Problem Statement. We should also be able to store user statistics of the videos such as number of views, video watched duration, and so forth.
This article will explore the concept of multi-layered caching from both architectural and development perspectives, focusing on real-world applications like Instagram, and provide insights into designing and implementing an efficient multi-layered cache system.
Stranger Things imagery showcasing the inspiration for the Hawkins Design System by Hawkins team member Joshua Godi ; with art contributions by Wiki Chaves Hawkins may be the name of a fictional town in Indiana, most widely known as the backdrop for one of Netflix’s most popular TV series “Stranger Things,” but the name is so much more.
How can we achieve a similar functionality when designing our gRPC APIs? A production contains multiple fields such as: title, format, schedule dates, scripts aka screenplay, budgets, episodes, etc, but let’s keep this example simple and focus on filtering out schedule dates and scripts when requesting a production.
By Ricky Gardiner , Alex Borysov Background In our previous post , we discussed how we utilize FieldMask as a solution when designing our APIs so that consumers can request the data they need when fetched via gRPC. API designers should aim for simplicity, but make their APIs open for extension and evolution.
Creating an ecosystem that facilitates data security and data privacy by design can be difficult, but it’s critical to securing information. When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration.
Introduction. What comes to your mind when you hear the term Black box, specifically concerning testing? Well, it is something that is not very common to listen to but remains an essential form of software testing.
Test tools are software or hardware designed to test a system or application. Some test tools are intended for developers during the development process, while others are designed for quality assurance teams or end users.
The Scheduler service enables this and is designed to address the performance and scalability improvements on Actor reminders and the Workflow API. In this post, I am going to deep dive into the details of how the Scheduler service was designed and its implementation to give you some background. Prior to v1.14 Prior to v1.14
For more: Read the Report Employing cloud services can incur a great deal of risk if not planned and designed correctly. Power outages and network issues are common examples of challenges that can put your service — and your business — at risk.
For example, we invest in next-generation, royalty-free codecs and sophisticated video encoding optimizations. Video downscaling is the most pertinent example herein, which tailors our encoding to screen resolutions of different devices and optimizes picture quality under varying network conditions. A visual example is shown below.
Fluent Bit is a telemetry agent designed to receive data (logs, traces, and metrics), process or modify it, and export it to a destination. Fluent Bit was designed to help you adjust your data and add the proper context, which can be helpful in the observability backend. See the example below. managed-by: Helm app.kubernetes.io/name:
It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers. Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. Greenplum Architectural Design.
Sure, Zoom has made some design decisions that made sense as a small spunky startup that don't make a lot of sense as a defacto standard, but that's to be expected. What's incredible is from the outside they've shown little in the way of apparent growing pains, though on the inside it's a good bet a lot of craziness is going on.
How To Design For High-Traffic Events And Prevent Your Website From Crashing How To Design For High-Traffic Events And Prevent Your Website From Crashing Saad Khan 2025-01-07T14:00:00+00:00 2025-01-07T22:04:48+00:00 This article is sponsored by Cloudways Product launches and sales typically attract large volumes of traffic.
An application example is a session store recording recent actions. Application example: photo tagging; add a tag is an update, but most operations are to read tags. Application example: user profile cache, where profiles are constructed elsewhere (e.g., Application example: user status updates; people want to read the latest.
In my previous article on Pydantic, I introduced you to Logfire in one of the code examples as an observability platform designed to provide developers with insights into Python applications.
And by “sample” we mean “an example”, like food samples in your local grocery store. The example business logic we use in our template computes the top hundred movies/shows in every country where Netflix operates on a daily basis. " ) COMMENT "Example dataset brought to you by Dataflow. test_sparksql_write.py
What data would you like to have if you were designing an asset suite? Here’s an example: Purple Hearts is a film about an aspiring singer-songwriter who commits to a marriage of convenience with a soon-to-deploy Marine. In this blog post, we talk about two approaches to create effective artwork. We don’t want to make clickbait.
This includes custom, built-in-house apps designed for a single, specific purpose, API-driven connections that bridge the gap between legacy systems and new services, and innovative apps that leverage open-source code to streamline processes. Each has its own role to play in successfully implementing this tactical trifecta at scale.
It helps to understand whether a program can be used on any operating system other than the one for which it was designed. Let’s find out what is configuration testing with an example and how does it work? Or whether there is any work required to make software run in the new environment.
One of the more popular use cases is monitoring business processes, the structured steps that produce a product or service designed to fulfill organizational objectives. Let’s examine a few practical business process monitoring examples. Choose an attribute common to each business event (for example, order_id) as the correlation ID.
For example, each deliverable in the project, like the requirements, design, code, documents, user interface, etc., Testing can also be divided based on the sub-stages or activities in testing, for instance, test case generation and design, test case execution and verification building of the testing database, etc.
Bring logic to data with easy-to-build apps As a unified observability and security platform, Dynatrace is designed to be open and customizable from the ground up. Let’s explore some real-life custom solution examples that leverage the power of the Dynatrace core platform technologies to go beyond observability.
Options at each level offer significant potential benefits, especially when complemented by practices that influence the design and purchase decisions made by IT leaders and individual contributors. A few examples: Reduce roundtrips between services (for example, the N+1 query pattern).
For example, the team must establish specific thresholds for desired service performance behavior. Fast feedback cycles on model improvements While the Site Reliability Guardian was originally designed to validate new software releases, Dynatrace has internally extended its application area to include validation of models for Davis AI.
For example, a member-triggered event such as “ change in a profile’s maturity level” should have a much higher priority than a “ system diagnostic signal”. For example, entirely relying on a Pull model wherein the device frequently calls home for updates would result in chatty mobile apps.
Microsoft initially designed the OS for internal use to develop and manage Azure services. Microsoft designed the kernel and other aspects of the OS with an emphasis on security due to its focused role in executing container workloads. This design approach helps eliminate the need to patch and maintain essential packages.
But there are other related components and processes (for example, cloud provider infrastructure) that can cause problems in applications running on Kubernetes. Synthetic Monitoring is used to simulate defined customer behavior, for example when opening a website and clicking a certain button. Dynatrace Kubernetes documentation .
For example, we have a service that stores a movie entity’s metadata or a service that stores metadata about images. In Pic 1 below, we have an example of an application which is used by editors to review their work. We don’t allow incompatible changes, for example, users can not change the data type of a property.
For example, Amazon Web Services (AWS) charges for data transfer between Amazon EC2 instances within the same region. Suboptimal architecture design. Poorly designed cloud solutions can become costly over time. Aligning workload types and sizes with instance performance and capacity requirements is essential to keep costs down.
The whole experience is designed to fit into your individual data governance and compliance framework. With this three-layer design, you enjoy maximum flexibility in managing sensitive data points end-to-end. See the process-group settings example in the screengrab below.
At Netflix we strongly prefer schema-first development because: The schema design is front and center of the developer experience. Although it might be marginally quicker to generate schema from the code, putting the time into designing your schema in a human readable, collaborative way is well worth the effort towards a better API.
Dynatrace is designed to scale easily across the entire Kubernetes stack. The scope of automatic workload instrumentation is user-configurable, for example, by namespace. Lifecycle management of Dynatrace components (for example, ActiveGate and OneAgent) is automatic and secure.
For example, teams can program synthetic test tools to send large volumes of simultaneous resource requests to a new application and evaluate how well it responds. Consider a synthetic test designed to evaluate an e-commerce shopping application. Are all requests met in a reasonable amount of time? First is a test of the home screen.
In the example below, we demonstrate how to use workflows to ingest data from the GitHub API, capturing detailed information about runners and integrating it seamlessly into Dynatrace business events for actionable insights. However, these use cases are just the beginning.
We identified common design patterns and architectures scattered across various tools which were all duplicating efforts in some way or another. By designing to rigid interfaces defined by a host application, both the plugin and host can be developed in parallel. In our example, we need to define two areas that can be extended?—?the
Designed to reach beyond petabyte (PB) scale, OpenPipeline will—at its launch— quintuple the ingest throughput from 100 TB a day per tenant to 500 TB a day per tenant. OpenPipeline extracts data with context and transforms it into more efficient formats, for example, logs to metrics. Commitment to privacy.
After all, a test script can be a useful tool for designing a module's interface by writing example code that will use it. There are good arguments for both approaches. When you first start, you probably have no idea how many tests your scripts will contain.
Step-by-step setup The log ingestion wizard guides you through the prerequisites and provides ready-to-use command examples to start the installation process. The pre-defined monitoring mode settings, for example, Full-Stack, are pre-selected following your platform administrators guidelines.
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