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AWS OnDemand vs AWS Reserved Instances: The infrastructure costs can skyrocket with AWS OnDemand, while switching to a serverless architecture can cut costs significantly. The potential for cost savings with AWS serverless setups is clear. It's important to carefully consider all options to optimize.. read more
Nowadays, one should absolutely respect these rules: 1) Building a microservice distributed system without proper monitoring/observability tools can be challenging as it may be hard to identify the root cause of bottlenecks. 2) Understanding the basics of distributed systems, such as how they consis.. read more
Application servers like RoadRunner use long-lived PHP processes to handle multiple requests without constantly bootstrapping new execution environments, reducing overhead and improving performance. This tutorial will guide you through developing a PHP application on RoadRunner, explaining its setup.. read more
Understand how circuit breakers work in event-driven architectures, including the stateful checks and handling of slow requests. Implementations in serverless architectures, like using Elasticache for state storage, are discussed. Recommended resources for further reading and considerations for high.. read more
This guide details a GitOps-based CI/CD pipeline on GitHub Actions for SOC 2 compliance, with an emphasis on simplicity and developer experience. The workflow includes automated testing, artifact publishing, and infrastructure deployment controlled through pull requests... read more
Pod startup time is crucial for application performance and user experience. This blog post details how VolumeSnapshots were used to reduce startup times by 83% in AWS environments at Riskified. VolumeSnapshot is a Kubernetes feature that captures and restores application volumes, improving applicat.. read more
This blog post explores how to use observability tools to set and maintain Service Level Objectives (SLOs) for Kubernetes applications. Understanding the difference between SLOs, SLIs, and SLAs is crucial. The best observability tools for Kubernetes include Prometheus, Grafana, and Jaeger. These tools help you collect metrics, visualize data, and trace requests to set SLOs and troubleshoot performance issues. The key steps to using observability tools effectively involve observing your service's behavior, setting thresholds and error budgets for SLOs, and updating SLOs as your system evolves. By following these steps, you can ensure your Kubernetes applications meet performance and availability targets.
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The blog post explains what runbooks are and how they can improve IT operations. Runbooksare essentially detailed guides that provide step-by-step instructions for common IT tasks. This ensures consistent and efficient execution by the team.
Here are the key points:
Runbooks improve efficiency by eliminating the need to reinvent the wheel and reducing wasted time.
Clear instructions in runbooks help minimize errors and ensure tasks are completed correctly.
New team members can be empowered by having access to runbooks which helps them get up to speed quickly.
Downtime is reduced by providing a clear path to resolving incidents with runbooks.
Some examples of when to use runbooks include system maintenance procedures, incident response protocols, software deployment processes, and data backup and recovery procedures.
The blog post also clarifies the difference between runbooks and playbooks. Playbooks provide a broader overview of a process, outlining the overall strategy and key steps involved. Runbooks focus on specific tasks with step-by-step instructions.
Finally, the blog post offers some key tips for creating effective runbooks including keeping it clear and concise, using step-by-step instructions, including visuals, using version control, and regularly updating the runbooks.
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