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I began writing this article in early July 2023 but began to feel a little underwhelmed by it and so left it unfinished. However, after recent and renewed discussions around the relevance and usefulness of build steps, I decided to dust it off and get it finished. Let’s go! 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.
By Jennifer Shin , Tejas Shikhare , Will Emmanuel In 2022, a major change was made to Netflix’s iOS and Android applications. We migrated Netflix’s mobile apps to GraphQL with zero downtime, which involved a total overhaul from the client to the API layer. Until recently, an internal API framework, Falcor , powered our mobile apps. They are now backed by Federated GraphQL , a distributed approach to APIs where domain teams can independently manage and own specific sections of the API.
One of the more notable aspects of ChatGPT is its engine, which not only powers the web-based chatbot but can also be integrated into your Java applications.
Kubernetes adoption survey executive summary. Modern, cloud-native computing is impossible to separate from containers and Kubernetes adoption. While Kubernetes is still a relatively young technology, a large majority of global enterprises use it to run business-critical applications in production. The rapid adoption is driven—and challenged by—an ever-growing ecosystem of Kubernetes technologies that add advanced platform features, such as security, microservice communications, observability, s
This is a guest article by NK. You can view the original article Consistent hashing explained on systemdesign.one website. How does consistent hashing work?
If you use Windows, you will want to monitor Windows Events. A recent contribution of a distribution of the OpenTelemetry (OTel) Collector makes it much easier to monitor Windows Events with OpenTel. You can utilize this receiver either in conjunction with any OTel collector: including the OpenTelemetry Collector. In this article, we will be using observIQ’s distribution of the collector.
Kubernetes is an open-source container orchestration platform that helps manage and deploy applications in a cloud environment. It is used to automate the deployment, scaling, and management of containerized applications. It is an efficient way to manage application health with Kubernetes probes. This article will discuss Kubernetes probes, the different types available, and how to implement them in your Kubernetes environment.
Applications nowadays are distributed as microservices all over the cloud. Organizations use Kubernetes to manage these applications at scale, which has brought great flexibility and agility for development teams. However, microservices and multicloud applications have given rise to new challenges. Now, it is harder to configure communication between distributed services and secure the data in transit.
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Applications nowadays are distributed as microservices all over the cloud. Organizations use Kubernetes to manage these applications at scale, which has brought great flexibility and agility for development teams. However, microservices and multicloud applications have given rise to new challenges. Now, it is harder to configure communication between distributed services and secure the data in transit.
In the past few years, there has been a growing number of organizations and developers joining the Docker journey. Containerization simplifies the software development process because it eliminates dealing with dependencies and working with specific hardware. Nonetheless, the biggest advantage of using containers is down to the portability they offer.
In this article, I cover caching and how it works in.NET Core. So, we look at the following things one by one: Introduction of Caching What is Cache? Types of Cache Installation of REDIS Cache Cache Implementation So, let’s get started!
In a Kubernetes context, multi-tenancy refers to sharing one large cluster among multiple teams, applications, or users primarily in lower environments such as development and testing—mainly to reduce cost and operational overhead around managing many clusters. Multi-tenancy is becoming an essential requirement for platform teams deploying Kubernetes infrastructure.
By Jose Fernandez , Ed Barker , Hank Jacobs Introduction In November 2022, we introduced a brand new tier — Basic with ads. This tier extended existing infrastructure by adding new backend components and a new remote call to our ads partner on the playback path. As we were gearing up for launch, we wanted to ensure it would go as smoothly as possible.
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. Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience.
“Set it and forget it” is the approach that most network teams follow with their authoritative Domain Name System (DNS). If the system is working and end-users find network connections to revenue-generating applications, services, and content, then administrators will generally say that you shouldn’t mess with success. Unfortunately, the reliability of DNS often causes us to take it for granted.
In today's world, the need for highly available and fault-tolerant systems is more important than ever. Furthermore, with the increased adoption of microservices and containerization , the need for a reliable infrastructure that can automatically detect and recover from failures has become critical. Kubernetes , an open-source container orchestration platform, and Prometheus, a popular monitoring and alerting toolkit, are two tools that can be used to implement such a self-healing infrastructure
Deployment is the day when the software is finally released to the world. Yet, as Stackify CEO Matt Watson said, organizations lack confidence in deployment. One of the greatest strengths of agile is the ability to deploy rapidly. However, moving too fast and without following the right processes, one can witness problems like downtime, errors, and poor user experience.
At the time of writing, 99.9% of pages on the web include at least one image. The median image-weight per page landed at 881KB in 2022 , which is more than HTML, CSS, JS, and fonts combined! And while images do not block rendering (unless you do something silly ), it’s important to consider how we offer a reasonably pleasant experience while users are waiting for images to load.
Kubernetes is a widely used open source system for container orchestration. It allows for seamless running of containerized workloads across different environments. However, managing Kubernetes optimally can be a daunting task due to its complex architecture. Properly monitoring a Kubernetes cluster or any related environment can be difficult. Effective resource provisioning and management is a critical aspect of a Kubernetes cluster.
Honestly, I started writing this article, for no real reason and somewhat without context, in December 2022—over half a year ago! But, I left it in _drafts/ until today, when a genuinely compelling scenario came up that gives real opportunity for explanation. It no longer feels like trivia-for-the-sake-of-it thanks to a recent client project. I never thought I’d write an article in defence of DOMContentLoaded , but here it is… For many, many years now, performance engineers have been making a co
In the ever-evolving landscape of container orchestration, the shift from Docker Swarm to Kubernetes has become a significant trend. As organizations seek more robust, scalable, and reliable solutions for deploying and managing containerized applications , Kubernetes emerges as the clear frontrunner. This article delves into the nuances of transitioning from Docker Swarm to Kubernetes, focusing on best practices, strategic considerations, and the scaling advantages Kubernetes offers.
What Is Distributed Tracing? The rise of microservices has enabled users to create distributed applications that consist of modular services rather than a single functional unit. This modularity makes testing and deployment easier while preventing a single point of failure with the application. While applications begin to scale and distribute their resources amongst multiple cloud-native services, tracing a single transaction becomes tedious and nearly impossible.
Docker is a containerization technology that allows developers to package and deploy applications in lightweight, portable containers. These containers are isolated from the host operating system, which makes them portable across different environments and eliminates the “works on my machine” problem. Docker is a popular platform for creating and managing containerized applications; however, several alternatives for Docker can also be used for this purpose.
Part 1: The Challenge and the Workload FinOps is an evolving practice to deliver maximum value from investments in Cloud. Most organizations in their journey of adopting FinOps focus on highly tactical and visible activities. They perform activities post-deployment of the applications to help them understand and then optimize their cloud usage and cost.
What Is Istio Ambient Service Mesh? Istio, an open-source and widely used service mesh, is used to manage network and security for cloud-native applications. In September 2022, Istio project released ambient mesh — a modified and sidecar-less data plane for Istio developed for enterprises that want to deploy mTLS and other security features first, and seek to deploy an advanced network later.
Kubernetes has become the de facto standard for container orchestration, enabling organizations to build, deploy, and scale modern applications with efficiency and agility. As more organizations adopt Kubernetes, the need for proper security and management of sensitive data within these environments becomes paramount. One crucial aspect of ensuring a secure Kubernetes infrastructure is the effective management of secrets, such as API keys, passwords, and tokens.
The concept of distributed applications is certainly not new. Whoever has a long IT career certainly remembers a number of different technologies implementing distributed components even in the early years. Nowadays, is all about microservices. They are a new form by which we consider today the concept of distributed computing. Their peculiarity is that their communications are based essentially on REST and messaging protocols, which have the advantage of being widely spread standards.
Software testing is the demonstration of looking at the relics and the way the product behaves under test by approval and check. A business can appreciate and comprehend the risks of implementing software by receiving an objective, independent view of the software through software testing. Although it is possible to determine the correctness of software by assuming certain hypotheses, software testing cannot identify all software failures.
In the ever-evolving world of DevOps , the ability to gain deep insights into system behavior, diagnose issues, and improve overall performance is one of the top priorities. Monitoring and observability are two key concepts that facilitate this process, offering valuable visibility into the health and performance of systems. While these terms are often used interchangeably, they represent distinct approaches to understanding and managing complex systems.
Day two of Dynatrace Perform began with a great discussion between Kelsey Hightower , Distinguished Developer Advocate at Google Cloud Platform and Andi Grabner , DevOps Evangelist at Dynatrace. The theme of their discussion was redefining the boundaries of people, processes and platforms. Kelsey began the discussion by explaining that his career took off when he began focusing on the fundaments.
In Part 1 , we looked at the overview of FinOps as an evolving practice to deliver maximum value from investments in the cloud. We also discussed the challenge or the need for shifting left FinOps for better optimization of your cloud usage and cost. In part 2 of the series, we will walk you through the steps on how you go about creating the FinOps cost model for an example solution.
Fraud detection becomes increasingly challenging in a digital world across all industries. Real-time data processing with Apache Kafka became the de facto standard to correlate and prevent fraud continuously before it happens. This article explores case studies for fraud prevention from companies such as Paypal, Capital One, ING Bank, Grab, and Kakao Games that leverage stream processing technologies like Kafka Streams, KSQL, and Apache Flink.
When organizations move toward the cloud, their systems also lean toward distributed architectures. One of the most common examples is the adoption of microservices. However, this also creates new challenges when it comes to observability. You need to find the right tools to monitor, track and trace these systems by analyzing outputs through metrics, logs, and traces.
This is an article from DZone's 2023 Software Integration Trend Report. For more: Read the Report In recent years, the rise of microservices has drastically changed the way we build and deploy software. The most important aspect of this shift has been the move from traditional API architectures driven by monolithic applications to containerized microservices.
In this post, you will learn how to create a Docker image for your GraalVM native image. By means of some hands-on experiments, you will learn that it is a bit trickier than what you are used to when creating Docker images. Enjoy! Introduction In a previous post , you learned how to create a GraalVM native image for a Spring Boot 3 application. Nowadays, applications are often distributed as Docker images, so it is interesting to verify how this is done for a GraalVM native image.
The release candidate of OpenTelemetry metrics was announced earlier this year at Kubecon in Valencia, Spain. Since then, organizations have embraced OTLP as an all-in-one protocol for observability signals, including metrics, traces, and logs, which will also gain Dynatrace support in early 2023. Realizing the promise of OpenTelemetry is a challenge for most organizations.
Kubernetes has emerged as a game-changing technology, revolutionizing the world of container orchestration. But what exactly is Kubernetes, and why has it garnered such widespread acclaim? Here we'll explore the benefits of Kubernetes. Let's take a look! In today's fast-paced digital landscape, organizations are constantly seeking innovative solutions to streamline application deployment, scale their infrastructure, and improve operational efficiency.
Kubernetes (also called K8s) remains the most in-demand container for developers. Originally developed by engineers at Google, K8s has achieved global fame as the go-to solution for hosting across on-premise, public, private, or hybrid clouds. Insights from Statista show the Kubernetes market share of the public cloud went from 16% in 2021 to 45% in 2022.
Code coverage is a software quality metric commonly used during the development process that let’s you determine the degree of code that has been tested (or executed). To achieve optimal code coverage, it is essential that the test implementation (or test suites) tests a majority percent of the implemented code. There are a number of code coverage tools for languages like Java, C#, JavaScript, etc.
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