Jeff Sheldon

The Site Reliability Engineering: How Google Runs Production System book is arguably one of the most prevalent and well-known SRE resources out there, but there are many other great options for folks looking to expand on their learning. We recently spoke to Google's Reliability Advocate, Steve McGhee, in our Humans of Reliability interview series. In addition to his interesting anecdotes on the early days of SRE at Google, and his journey to becoming a Reliability Advocate, he also shared a handful of his favorite SRE resources, which we compiled here into a list: https://lnkd.in/gpUVhyRa

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Nothing beats the combined power of Trino and Iceberg 💪 Check out this episode of the data engineering podcast to learn about how Kevin Liu and the team at Stripe are utilizing these technologies to build some interesting features ⬇️ #trinodb #ApacheIceberg #Icehouse

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What’s Next: RunWhen's Kyle Forster talks open source and microservices SDxCentral CEO Matt Palmer speaks with RunWhen's Kyle Forster about a better way for companies to support gigantic code bases.

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How do you keep engineering teams aligned with business goals while embracing innovation? Ada, the world’s leading customer service automation company, found the answer with Jellyfish. When pivoting to a generative-first strategy, Ada faced a key challenge: balancing innovation with supporting existing customers. They needed clarity on how their teams worked and invested their time. With Jellyfish, they achieved: 🚀 A 14% improvement in cycle times 🎯 Ranked in the top 97th percentile for “days with commits” 📈 Over 10% growth in technical investments “Jellyfish has become our go-to dashboard to understand how we’re operating as a team at a glance,” says William Mora, Head of Engineering at Ada. Now, Ada’s team is striking the perfect balance—focusing on reliability, experimentation, and investments that drive their business forward. Read the full story. Link in comments👇

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If you're a Director/VP or CTO running an engineering org and will be in NYC Tuesday night (11/19) apply to join us as we discuss personal productivity. Whether it's motivation, organization or optimization, we're going to dig into how we deliver more value, and better value what we deliver :) Should be a great discussion! Link in the comments!

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All the small web shops should look into this as a funnel for new biz and all the small and medium size businesses should really consider where your best ROI is at. Fix it and be accessible!

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➰ APIContext's latest insights on cloud-based API performance have been featured on Nordic APIs! In the 2024 report, we delve into crucial aspects affecting API efficiency: 🔐 Authentication is key. Ensuring robust authentication mechanisms in APIs is crucial, yet offloading this function can introduce complex challenges. 📖 DNS configurations matter. How you handle DNS settings can significantly impact API performance, particularly when tied to authentication processes. 🌐 The role of third parties. Critical third-party services play a significant role in 🔗 API transactions, underscoring the need for careful integration and monitoring. ⛅ Not all clouds are created equal. Differences in cloud services can drastically affect API performance, an essential consideration as APIs account for over 80% of all internet traffic. #APIs #CloudComputing #TechInsights #APIContext

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🌶 DORA metrics are great, but they don't cut it alone. We sat down with Jellyfish's Head of Engineering, Eli Daniel, to hear his take on what engineering leaders *should* be measuring. In this episode of Level Up, Kenneth Rose and Eli talk about: ▶ Feelings aren't facts—you need data to run an engineering org ▶ One set of metrics probably aren't going to cut it to make good decisions ▶ Engineering leaders need data as much as a sales leader 🎧 Listen to the full episode and let us know your favorite metrics to build and manage an efficient engineering team 💬 👇 Get the full episode link in the comments👇 #dora #engineering #leadership

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🔥 Eli Daniel, Head of Engineering here at Jellyfish, brought some serious insights to OpsLevel's latest Level Up episode! Here's a sneak peek into what they discussed: ▶ How to choose metrics tailored to your organization's goals ▶ Tips for analyzing where your team's time is being spent ▶ Scaling metrics for better alignment and resource allocation ▶ Why DORA metrics are just scratching the surface ▶ Balancing quantitative and qualitative metrics for a complete picture of team performance Check it out! 👇👇👇

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Was playing around with v0.dev before last weeks Next.js conf, wanted to stress test how much it could help someone build a complex feature in Catalyst. One of our merchants was looking to add a Gift Certificates section like Stencil has and we just haven't got to it yet within the out-of-the-box version. Was a perfect scenario! High level take? If you are building in Next.js you should 100% add v0 to your toolbox. It'll help you slice away at features much faster than any other AI solution in market. I include more notes in the PR along with a demo of what was built on GitHub: https://lnkd.in/eBm6wVdP

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We shared how the new Jellyfish API is unlocking endless possibilities for engineering teams. But what does it actually look like in action? We paired it with Amazon Web Services (AWS) Q Business, a GenAI Assistant, to test its potential. The result? Faster API utilization, natural language insights, and streamlined workflows. Ready to explore what’s possible? Check out the blog for all the details. ⬇️

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This is the initial infrastructure Tradescoop was built on. A few things have changed, some additions and removals; for example, we’ve gone from MongoDB on Digital Ocean to Mongo Atlas, Redis cloud to Memorystore, but the general appraoch remains. Simplicity. Shouts to Karl Obinna Amalu, CSM for cleaning it up and adding color ✨ #gcp #infrastructure #devops

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At Forge, our mission is crystal clear: helping software companies build thriving ecosystems through plugins. Here’s how we do it: ͐➡ Technical Enablement & Infrastructure: Everything you need to support your ecosystem from libraries, SDKs, plugin hosting and tooling ➡ Ecosystem Seeding: Getting your ecosystem off the ground with early-stage momentum. ➡ Security, Compliance & Governance: Peace of mind for you and your users. Companies like Shopify, Salesforce, Miro, Microsoft, Slack, Zoom, and Atlassian have already set the gold standard. They’ve shown why extensible ecosystems are a modern blueprint for success. Our goal? To bring this capability to every software company—whether you’re a startup or scaling fast. Extensibility isn’t just a buzzword. It’s a growth engine: 🪄 It fuels revenue. 🪄 It builds long-term scalability. 🪄 And most importantly, it empowers your customers with solutions they never imagined possible. 🔥 Forge makes that possible. #plugins #productlaunch #startup #saas #technology #api

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How @IronMountain built its InSight DXP on @MongoDB https://buff.ly/3zD1gUu We caught up with Adam Williams, Vice President of Global Platforms at Iron Mountain, to talk about use of MongoDB and scaling. Here's a look at some of the key takeaways.

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Thanks for having us on the show, Simon Maple and Tessl! On this episode of The AI Native Dev, Omer Rosenbaum and Simon broke down the best ways to leverage AI for code documentation, especially when it comes to legacy languages like COBOL. Listen/watch the entire episode here (or wherever you get your podcasts!)→ https://lnkd.in/earhGr6f

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If you are jumping into Rust and Lambda, you need to be thinking about observability. OTel is where you want to look. And plugging OTel traces into Datadog will turbo-charge your insights. Here's how to get started https://lnkd.in/gSwA5sWX

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iManage in the press! Are you ready for the latest round-up of ungated content? If so, check down below: TechRound spills the tea on how iManage overcame its challenges, shaped its evolution and market position: https://lnkd.in/e-V4UTGF Notified shares its predictions on the global legal tech market: https://lnkd.in/e7HqyAxa Alex Smith, Global Product Lead for Knowledge, Search and AI, iManage, shares his thoughts on how billable time should be approached differently now that AI has reduced workflow times from days to hours: https://lnkd.in/emUNPpWJ Jack Shepherd, Legal Practice Lead, iManage, shares his insights on the impact of agentic AI and why you should exercise caution: https://lnkd.in/eW-DZXQ2 #iManage #AI

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📈 Exciting news for Pinecone and Datadog users! Our integration now fully supports Pinecone Serverless indexes, making it easier than ever to gain insights into your vector database’s health and improve performance. With this integration, you’ll have access to: • Detailed performance metrics on latency, usage, throughput, and more • Automatic alerts to help you stay on top of key metrics Explore the documentation to get started: https://lnkd.in/esAUaPVA Plus, for those using Prometheus, all metrics are accessible via HTTP service discovery, enabling seamless monitoring of indexes across all regions. Learn more about using Prometheus for Pinecone monitoring here: https://lnkd.in/ezYiyQzB #Pinecone #Datadog #Observability #Monitoring #Prometheus #Serverless #DataAnalytics

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Practical explanation of API’s the next time you are in a buzzword salad meeting… https://lnkd.in/e-HSTwC3

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