Observability allows visibility into distributed systems for automated problem identification and resolution. Observability-driven development (ODD) is an approach to shift left observability to the earliest stage of the software development life cycle. This article provides a guide on ODD and its benefits, its role in SDLC, and key considerations for adoption.
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User experience is the number one priority for every business in the market today. As a developer, even the brief you get on your project talks about the simplicity of the user interface it is supposed to feature.
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No-code and low-code platforms provide rapid development, but there are limitations of customizations, integrations, and extensibility. On the other hand, high-code development offers high-level customizations with better extensibility. So, the question is which one to choose. Here are all the answers on what to choose and when between no-code vs. low-code vs. high-code.
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Observability defines an automated and proactive approach to monitoring modern and complex IT systems. This article discusses the three types of observability - infrastructure, data, and ML for beneficiaries such as DevOps, data, and ML engineers. It covers critical components, tools, and real-time examples.
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There is a confusion cloud around observability vs. monitoring. Some use the two terms interchangeably, while others consider these entirely different entities. Continue reading to find out how the two are related and why it is important for you to understand the difference.
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Going fast does not always mean you win the race! When you rush your software development, it can lead to technical debt, and you may pay more interest than your initial investment! So here is a comprehensive guide on tech debt, its causes, types and top ways to manage it.
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APM tools came into existence to ensure the high performance of enterprise apps. They provided the details regarding performance bottlenecks. However, when cloud-native apps came into play, APM tools lacked full-stack visibility, leading to the birth of observability. The article discusses the evolution of IT monitoring from APM to enterprise observability.
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Your cloud costs can quickly get out of hand if your DynamoDB usage is not managed efficiently. But you can dynamically control the throughput capacity of your tables and optimize storage to reduce overall costs. This article lists some practical ways that you can implement to optimize DynamoDB usage and achieve cost efficiency.
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If DevOps implementation is one of the obstacles you have successfully conquered, your battle has just begun. Analyzing the right metrics and KPIs gives you a clear picture of your business growth, its current performance, and things that require improvement.
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Thanks to agile methodology, the importance of measuring the overall productivity of a software team is drastically increased. Businesses are now keen on adopting software development metrics and have also started monitoring different Key Performance Indicators (KPIs) to merge quality gaps within the software product.
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Amazon DynamoDB is one of the fastest-growing database services today. However, it is a NoSQL database that requires data modeling quite different from SQL databases. In this blog post, you will find out some best practices by our experts for working with DynamoDB. It also talks about when and when not to use DynamoDB.
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What comes to your mind first when you hear the word software development? Complex commands, coding standards, algorithms, and data structures. Right? The code written with strange symbols and characters sometimes seems like an alien language. But the truth is - leading software engineers recommend writing code that is easy to understand.
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