Tracing and Observability: The Advanced Stage of Monitoring in Platform Engineering

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Monitoring and logging provide the fundamental metrics and insights necessary for assessing system health, but when it comes to deeply understanding a system’s inner workings and dependencies, tracing and observability take things to an advanced level. In this post, we’ll explore what tracing and observability are and how they fit into a platform engineering perspective. …

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Monitoring Microservices: Challenges and Best Practices

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In the world of platform engineering, microservices have emerged as the go-to architectural style for building scalable and easy-to-maintain applications. While the benefits are numerous, monitoring these microservices can present its own set of challenges. In this blog post, we delve into why monitoring microservices is essential, the challenges involved, and best practices for overcoming …

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The Importance of Real-Time Monitoring in Platform Engineering

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In the fast-paced world of digital services and interconnected systems, the old adage “time is money” has never been truer. This is particularly applicable to the realm of platform engineering, where systems are expected to be both resilient and responsive. Here, real-time monitoring becomes not just a convenient feature, but an indispensable asset for any …

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Log Analytics in Platform Engineering: Making Sense of Big Data

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Introduction In today’s fast-paced digital environment, the need for real-time insights has never been greater. The platform engineering landscape is rife with data, from transaction logs to user activity and server statistics. But what do you do with all this data? The answer is Log Analytics, a critical component of any robust platform engineering strategy. …

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Serverless, Kubernetes, or Cloud: What’s Best for Your Use-Case? A Platform Engineering Perspective

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Introduction In the evolving landscape of software architecture, three contenders vie for the top spot when it comes to scalability and efficiency: Serverless, Kubernetes, and traditional Cloud Services. Each offers unique benefits, and choosing the right one for your use-case can be a complex decision. This post aims to demystify these options and help you …

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Comparing Serverless Offerings: Choosing the Right Fit for Your Scalability Needs

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In our previous post, we discussed how serverless architecture marks a significant step forward in automated scalability. But serverless is not a monolithic concept; there are several cloud providers offering distinct serverless services. Each comes with its pros and cons, affecting everything from scalability to cost-efficiency. In this post, we will compare popular serverless offerings …

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Serverless Architecture: A Leap Forward in Automated Scalability

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Scalability has always been a cornerstone of successful software platforms. In a world where user demands can spike at any moment, scalability can be the difference between a platform that excels and one that falters. Traditional architectures have been able to scale, but often at the cost of complexity and manual oversight. Enter serverless architecture, …

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Automating Security Protocols: How Platform Engineering Builds Safer Systems

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In today’s interconnected world, security is not just a feature but a necessity. As security threats grow in complexity, the need for advanced security protocols has never been more critical. But how can we manage such intricate security layers without becoming overwhelmed? The answer lies in automation through platform engineering. This post will delve into …

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Automated Monitoring and Alerts: Keeping an Eye on Platform Health

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In an era where downtime is not an option and issues must be resolved before they affect users, automated monitoring and alerts are more than conveniences—they are necessities. Through the lens of platform engineering, we’ll explore why automated monitoring is crucial for maintaining platform health, how alerts can be more than just noise, and the …

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Orchestrating Microservices: Automation’s Role in Managing Complex Systems

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In today’s software landscape, monolithic architectures are giving way to microservices for their scalability, flexibility, and maintainability. However, with the boon of microservices comes the bane of complexity. This is where automation, a key pillar of platform engineering, plays an essential role. In this post, we’ll explore how automation simplifies the orchestration of microservices and …

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