Cloud and DevOps lay the foundation of digital transformation. Master them by learning lesser-known strategies, industry best practices, and lessons from tech giants.
Moving to the cloud is one thing, and saving costs is another. One of the reasons why organizations migrate to the cloud is to reduce infrastructure costs. However, caveats like overprovisioning, wasted resources and management issues lead to higher cloud costs. So, here are some best practices to reduce cloud costs and save more on your bills!
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Testing in production helps you catch the bugs before the final version goes into production. Observability facilitates testing in production by providing full-stack visibility inside production and infrastructure. This article focuses on observability within testing and covers the impact of observability on testing in production and three testing phases.
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Observability is an evolution of APM and NPM solutions aiming to monitor and troubleshoot infrastructure and application-level issues proactively. This article deep dives into ten companies that have successfully adopted Observability.
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In today's distributed environment age, having proper infrastructure and architecture visibility has become a massive challenge. That’s where observability comes into the picture. It aims to make IT systems high-performant, efficient, and fault-tolerant. This article provides a comprehensive view of observability by covering benefits, challenges, tools, and best practices.
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Observability has taken over all the conversations in the site reliability engineering landscape. But do you know exactly how much money it can save for your business? Or is it that the observability's cost outweights the savings because of benefits? Find out all this and more in our detailed cost-benefit analysis of observability.
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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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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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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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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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In the age of containerized applications, getting full-stack visibility is challenging. That’s where monitoring comes into play, as it helps you to detect possible issues and bottlenecks. This article breaks down every nitty-gritty of Kubernetes monitoring in a simplistic manner.
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According to Gartner, the worldwide spending on public-cloud services is forecast to grow up to $304.9 billion in 2021, up from $257.5 billion in 2020. By 2024, more than 45% of the IT spending will shift from traditional solutions to the cloud. Despite such heavy spending on the cloud, one in every three organizations fail to realize its benefits.
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