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Looking for advice to handle tough times? 🚀  📕𝙏𝙝𝙚 𝙃𝙖𝙧𝙙 𝙏𝙝𝙞𝙣𝙜 𝘼𝙗𝙤𝙪𝙩 𝙃𝙖𝙧𝙙 𝙏𝙝𝙞𝙣𝙜𝙨 by Ben Horowitz isn't your typical business book—it's a raw, no-nonsense guide to surviving the toughest moments in entrepreneurship, leadership and business. Whether you're making gut-wrenching decisions or leading through crises, this book gives you the playbook for the problems no one else talks about. As a professional navigating today's business landscape, this book has been invaluable to me. #BusinessLeadership #EntrepreneurshipChallenges

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A new post for my blog this morning, on the great new paper from the Amazon MemoryDB team: https://lnkd.in/eeKYfzBW This paper is a great reminder that distributed systems aren't just about scalability. Availability, durability, consistency, performance, and consistent performance are all equally important. Distribution makes them easier to achieve. Read the team's paper here: https://lnkd.in/eWxuuSTA

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A core tenet for #AWS has always been that, if it was possible to take care of scaling, resilience, availability, security, and cost management of our customer's infrastructure components, we should do so. Eventually, this became known as "serverless", which encompasses much more than executing code without the need for servers. Amazon SQS and S3 were the first AWS services launched, and they were "serverless" from day one. A good example of this philosophy in practice is Aurora Serverless, which provides on-demand auto-scaling for Amazon Aurora databases. It proactively scales up resources during peak periods to ensure the predictable performance when you require it. When demand subsides, it seamlessly scales back down, reducing waste. And with granular, second-by-second billing, you can truly optimize for cost. Remember, the essence of frugal architecture is robust monitoring driving the ability to optimize costs. To dive deeper into how Aurora Serverless exemplifies this principle, I recommend reading the latest paper here: https://lnkd.in/e4uPK6wv #AWS #serverless #databases

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If you want to hear about how the cloud is a mess of idleness and gross over-provisioning (and how to fix that!), here's my recent presentation at ContainerDays (10 mins). https://lnkd.in/e68w7Y8n

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It's never been easier to setup on-call alert sources! Never flip through a doc again with our turn-by-turn guidance. Test your alert to make sure it's working or just send mock alerts from any alert source to emulate the real thing 😎.

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Very useful overview of the CDN market...

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Discover the top 10 In-Memory Computing platforms revolutionizing data processing in 2024! Curious about which platforms made the cut? We've compared industry leaders like GigaSpaces XAP Skyline, Hazelcast, Apache Ignite, and more. Learn how these powerful tools can supercharge your operations and drive innovation. Don't miss our expert analysis and comparison table! Read the full article: https://lnkd.in/dR-R7xGk  Massimo Brignoli #InMemoryComputing #BigData #DataProcessing #TechInnovation #PerformanceOptimization

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Nearly a year ago, I wrote a big long twitter thread on how we lost the battle to give "observability" a meaningful technical definition. These days, observability is just a generic synonym for telemetry. But this is what semantic versioning was made for: to describe backwards-incompatible breaking changes. Observability 1.0 -- metrics, logs and traces. Three pillars, many tools. You pay to store your data over and over in RUM, APM, logging, monitoring, dashboards, profiling, tracing, product analytics, and other tools. Cardinality is sharply limited, and correlating data between tools is limited, predefined, and relies on lots of guessing and intuition. Observability 2.0 -- arbitrarily-wide structured log events as your single source of truth, from which you can derive metrics, logs, traces, etc. Your data is rich and wide, with lots of context; you can slice and dice, zoom in and out, visualize over time as a trace. It's more like business intelligence than traditional monitoring. https://lnkd.in/gMJPwnQU

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Ever wondered how Stripe maintains 99.999+% availability? Our internal Database as a Service system handles version upgrades, resharding, and more while ensuring consistency without any downtime. Check out our latest blog post to lean!

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