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As a company that relies solely on search traffic, we know firsthand how vital SEO tools can be for a …
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Through load testing, businesses may determine how well their system performs under typical and predicted peak loads, ensuring that it can withstand the demands of actual usage. We will discuss the concept of load testing in this blog article, as well as its significance and practical application to ensure optimum performance. So let’s start now!
E-commerce platforms, online services, and apps that suffer large traffic volumes or seasonal surges in user activity need to perform load testing more than others. Businesses may reduce the risk of system breakdowns, sluggish response times, and poor user experiences by doing extensive load testing. Organizations can preserve their reputation, keep clients, and seize growth possibilities with the aid of this proactive approach.
In today’s text, I want to take a closer look at gRPC and REST, probably two of the most commonly used approaches for creating API nowadays.
I will start with a short characteristic of both tools — what they are and what they can offer. Then I will compare them according to seven categories, in my opinion, most crucial for modern-day systems.
Have you ever seen the “exec /docker-entrypoint.sh: exec format error” error message on your server while running any docker image or Kubernetes pods? This is most probably because you are running some other CPU architecture container image on your server, or did you ever use --platform linux/x86_64 option on your Apple silicon M1, M2 MacBook? If yes, then you are not getting the native performance of Apple silicon, and it may be draining your MacBook battery. To avoid this kind of error and performance issue, we need to run the correct multi-arch container image, or we may need to build our own image because all container public image does not have the multi-arch image available.
In this blog post, we will learn what are multi-arch container images. How does it work? How to build and promote them? and we will write a sample code for building a multi-arch image in the CI/CD pipeline.
In this tutorial, we explore the powerful combination of Hazelcast and Redpanda to build high-performance, scalable, and fault-tolerant applications that react to real-time data.
Redpanda is a streaming data platform designed to handle high-throughput, real-time data streams. Compatible with Kafka APIs, Redpanda provides a highly performant and scalable alternative to Apache Kafka. Redpanda's unique architecture enables it to handle millions of messages per second while ensuring low latency, fault tolerance, and seamless scalability.
In the fast-paced world of software engineering, staying relevant and continuously improving is essential for career advancement. While technical skills are crucial, they are not the sole determining factor for success. Atomic Habits, a groundbreaking book by James Clear, provides valuable insights into the power of small habits and how they can transform our lives. This article explores the application of atomic habits to software engineering and how software engineers can leverage this book to propel their careers forward.
Software engineering is a dynamic field constantly changing new technologies, standards, and practices. To thrive in such an environment, balancing acquiring new skills and honing existing ones is vital. Atomic Habits emphasizes the significance of habits in achieving long-term success. By establishing small, consistent routines, software engineers can steadily progress and avoid becoming obsolete in a rapidly evolving industry.
The waterfall model is a software development methodology that has been used for several decades in the industry. This model is a sequential and linear approach to software development, where each phase of the development process is completed before moving on to the next one. The model is called "waterfall" because the flow of the development process is depicted as a waterfall, where the output of one phase becomes the input of the next phase.
The waterfall model is one of the oldest and most widely used models in software development. It is a sequential approach to software development that divides the development process into phases. Each phase must be completed before the next one can begin. This model is popular because it is easy to understand, and its sequential nature makes it easy to plan and manage.
Want to jump straight to the answer? The best free property management software for most people is Innago or Rentler. …
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Best automation practices refer to a set of guidelines or recommendations for creating effective and efficient automated tests. These practices cover various aspects of the testing process, including planning, designing, implementing, executing, and maintaining automated tests.
Cypress is a popular testing tool that has gained significant popularity in recent years due to its user-friendly testing framework and built-in features that simplify the testing process.
Amidst the rapid advancements in the utility and energy industry, where demands continually escalate, the role of IT operations has grown significantly, requiring enhanced capabilities to ensure seamless operations. The global IT operations and service management market is expected to grow by 7.5% by 2025. The IT infrastructure and services will reach $35.98 billion by 2025. To address this need, the integration of cloud computing and virtualization has emerged as a groundbreaking solution as these technologies boast scalability and flexibility, entirely transforming the operational landscape. This article discusses the profound influence these elements have on IT operations within the utility and energy sector, providing a robust and adaptive infrastructure for the future. Before moving on to the main article, here is a pertinent case study that helps demonstrate the importance of such digital transformation. Presented below is the journey of Enel, a multinational energy company and one of the world's leading integrated electricity and gas operators.
Headquartered in Italy, Enel operates in more than 30 countries across four continents, supplying energy to around 70 million end users. With such a vast scale of operations, Enel faced the need to revolutionize its traditional IT structure to meet the growing demands of digitalization and data management. To tackle this challenge, Enel planned a robust digital transformation strategy that placed a strong emphasis on cloud computing and virtualization. Enel migrated its legacy IT systems to a hybrid cloud model. Partnering with leading technology providers, they transitioned 70% of their workloads to the cloud. This offered an enhanced ability to scale operations in line with the growing computational demands and data storage needs. The cloud-based model significantly cut down the costs as it operates on a pay-per-use basis, thereby saving on infrastructure maintenance and energy costs. Alongside the transition to the cloud, Enel embraced virtualization to maximize the utilization of its IT resources. The company was able to run multiple virtual machines on single physical servers, reducing hardware needs while maintaining or enhancing system performance. Enel reported enhanced system reliability and security after their transition. The cloud's redundant systems and disaster recovery mechanisms provided the robust support necessary for their critical operations. In addition, advanced security protocols, including encryption, multi-factor authentication, and routine security audits, further bolstered the protection of their vast digital infrastructure.
In this post, I will dive into the latest trends in bug fixes to improve software quality. We analyzed more than a million git commits to gain insight into how developers collaborate, troubleshoot bugs, and enhance their code.
We also deciphered sentiments from their messages, adding another layer to our understanding. In the upcoming sections, I will dive deep into these fascinating discoveries.
In today’s digital world, efficient collaboration and streamlined workflows are essential for businesses across various industries. Online proofing has emerged as a powerful tool for simplifying the review and approval process of visual content,...
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Integration Platform as a Service (iPaaS) refers to a cloud-based platform that facilitates the integration of various applications, systems, and data sources within an organization. It provides a centralized hub where businesses can connect and manage their disparate systems, enabling seamless communication and data exchange.
The importance of iPaaS lies in the growing complexity of modern business environments. Organizations today rely on a multitude of applications, both on-premises and in the cloud, each with its own data formats and protocols. iPaaS offers a comprehensive solution to address these challenges, providing a unified platform for integration that simplifies processes, enhances efficiency, and enables better decision-making.