Sam Hamilton

➰ 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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Seismic’s AI enablement assistant, Aura Copilot, is now available for early access. Teams can now get faster access to answers and content, automate tedious tasks, and gain insights for better business decisions. Aura also now integrates with Microsoft Teams and Microsoft 365 Copilot to give teams in-the-moment answers and content recommendation. https://lnkd.in/d_mSbDXK

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🌟 From Raw Data to Behavioral Predictions—Effortlessly What if AI deployment didn’t require months of preparation? With BaseModel.ai now on the Snowflake Marketplace, you can transform behavioral data into predictions in just a few clicks. ✅ Rapid Deployment: Build and deploy models in a week.  ✅ Scalable Flexibility: Create multiple models for diverse use cases.  ✅ Privacy Guaranteed: Data never leaves the secure Snowflake environment. Say goodbye to complexity and hello to actionable insights. AI for behavioral data has never been this simple. 👉 Try BaseModel.ai Today  #AI #MachineLearning #BehavioralData #BaseModel #Snowflake #Synerise 

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🌉 San Francisco's Surprising Comeback: From 'Doom Loop' to Renaissance? Recent data suggests that San Francisco, once trapped in a pandemic-induced 'doom loop', is showing strong signs of recovery. Here's what's changing: 📈 Positive Trends: - Population Growth: Net gains over the past two years, with domestic in-migration positive for the first time since 2012. - Housing Market: Median home sale prices up 1.2% YoY to $1,427,500 in June. - Job Growth: The Bay Area added 7,400 jobs between January and June. Downtown Revival: Foot traffic beyond typical work hours has recovered to over 90% of pre-pandemic levels. - Crime Reduction: Property crime down 32% and violent crime down 14% in Q1 2024 compared to Q1 2023. - AI Boom: The city is positioning itself as a hub for the AI revolution. 🚧 Ongoing Challenges: - High office vacancy rates - Homelessness and drug crisis - Lagging tourism and business travel 🔑 Key Initiatives: - "Vacant to Vibrant" program offering free rent to businesses in empty storefronts - Increased police patrols and encampment sweeping - Crackdown on open-air drug dealing 💡 Expert Insight: "The rising AI empire is giving the city a new edge. Funding, talents, and culture related to the AI revolution will help the city turn the corner." - Lu Chen, Senior Economist at Moody's Analytics 🤔 What's Your Take? Are these positive trends sustainable, or is it too early to declare a comeback? How can other cities learn from San Francisco's recovery strategies? What role will AI play in reshaping urban economies, particularly in tech hubs? https://lnkd.in/gCnPCBRU

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Turbocharge your cloud applications: ⚡ Vector search on Memorystore for Redis is now GA, offering ultra-fast in-memory search for #generativeAI apps where user experience matters ⚡ New node types are GA on Memorystore for Redis Cluster #GoogleCloudNext #GoogleCloudConsulting

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Confluent's Field CTO, Kai Waehner, shares insights on the future of streaming analytics and data management, highlighting the importance of reliable data flow, collaboration, and security. Discover how Confluent's cutting-edge platform revolutionizes streaming analytics. Read the full interview: https://lnkd.in/gSMVCmvy #StreamingAnalytics #DataManagement #FutureOfData #BusinessIntelligence

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Can probabilistic models, like LLMs and Nate Silver's election forecast model, ever truly be perfect, with no errors? According to Nate Silver: "We don’t talk about it much, but there’s a small amount of error introduced into the model because it’s probabilistic rather than deterministic. The margin of error on 40,000 simulations is about ± 0.5 points of win probability for either candidate; after 80,000, it declines, but only to ± 0.35." Sounds like a familiar refrain around Infactory as we discuss the limitations of LLMs... P.S. Vote!

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Worth reading: How the Apache Arrow Format Accelerates Query Result Transfer by Ian Cook One of the hidden problems of intersystem communication is transcription of data formats. Ian does a wonderful job of explaining the "why" of Apache Arrow as well as the "how" of its advantages. Read on...

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This has been an eventful week for the entire data streaming ecosystem from StreamNative, Confluent, and Redpanda Data. There's no doubt that data streaming is undergoing rapid and transformative developments. It’s particularly interesting to see RedPanda embracing our "New CAP Theorem" (https://lnkd.in/gcuqViBm) by offering cloud topics and following our lead, as well as Confluent’s, in introducing Iceberg integration. We’re excited to see our peers following the path set by the Ursa engine, as it represents what a future-proof data streaming platform should look like. https://lnkd.in/gRZZWC_7 🔺 Tackling the New CAP Theorem: It must offer flexibility in balancing Cost, Availability, and Performance. At StreamNative, we address this with two WAL backends—latency-optimized disk-based replication (via BookKeeper) and cost-optimized object storage replication (via S3). ☁ Flexible Deployment Options: It must be deployable across a range of environments—from Public Cloud to Private Cloud—with options for BYOC, Dedicated, and Serverless deployments. This gives customers the flexibility to choose the deployment that best suits their needs without compromising feature parity, performance, security, or sovereignty. https://lnkd.in/gVQr8867 🌊 Multi-Modal Engine: It must be capable of handling table-stream duality. Streaming data directly into a lakehouse is becoming a must-have feature. Reducing barriers between data streams and lakehouses accelerates data usage and enables enterprise-ready, real-time data for GenAI applications. 🔗 Multi-Semantics via Multiple Protocols: It should support both queuing and streaming semantics, allowing customers to choose the right option for their workloads—whether it's low-latency queuing for transactional use cases or high-volume data streaming for less latency-sensitive applications. At StreamNative, we enable this through support for multiple protocols, including Pulsar, Kafka, MQTT, and others. 👯 Multi-Tenancy: Multi-tenancy must be built in from the start, preventing teams from having to manage multiple small clusters within a single organization. #ApachePulsar stands out as the leader in multi-tenancy, being the only data streaming solution that natively supports this feature. It’s no surprise that more engines will start to look like Ursa in the next 2-3 years. If you're attending the Current Summit next week, stop by our booth. Let’s talk about Ursa, Kafka, and the future of data streaming!

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In the latest episode of Prodcast, Silvia Botros (SRE Architect, Twilio, and author of "High Performance MySQL, 4th edition") and Niall Murphy (Co-founder & CEO, Stanza) join hosts Steve McGhee and Jordan Greenberg, to discuss many topics near and dear to reliability: cultural shifts in database engineering, rate limiting, load shedding, holistic approaches to reliability, proactive measures to build customer trust, and much more!

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🚀 Launch day! Very excited to share that you can now programmatically access resource-level cost data through the Vantage API! This API allows customers to access hundreds of supported resources (i.e. S3 Buckets, EBS Volumes, EC2 instances, etc.) across 8 different providers like Amazon Web Services (AWS), Microsoft Azure and Google Cloud. Some really interesting aspects about this API: - You can use Vantage Query Language (VQL) for ad-hoc filtering of resources. So if you wanted to enumerate over all resources that had a particular cost allocation tag, that's supported out of the box (including Virtual Tags). - This API also supports management of Resource Reports. So if you had a Resource Report for all unattached EBS volumes that are over a certain cost threshold you can hit that Resource Report endpoint to see all the latest resources that meet that criteria on an ongoing basis. - We've integrated with hundreds of List/Describe APIs across all the providers to not only provide cost information in the API but also metadata from the service APIs themselves. Using that same EBS example above, this allows for you to see other attributes like iops or volume size with the cost data in a singular API. Extensibility through the API has always been part of the core ethos of Vantage from the very beginning. Over the last four years we've invested in having near-full coverage of all features available via the API and Terraform. This new resource API opens up an entirely new set of use-cases and future integrations that are going to be very interesting so....stay tuned. #finops #boom https://lnkd.in/eaq8hd2Y

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A wonderful nonprofit super advanced, highly secure AI based platform not driven by ads, or special interest, but majority of the informed society. A first real step to allow people to build up trust, by their deeds and actions. The platform will use AI to eliminate misinformation, AI bots, information overload, and enforce transparency & truth. Each person on this platform is real, has a unique global ID and alive on the network and they can express their political views under either a unique anonymous avatars without fear, or choose their real information. The ultimate goal is to percolate up Trusted leaders, as they buildup their trust worthiness credentials that can advance their society or their cause to make their society and eventually planet earth a better place for all, regardless of gender , race or religion, etc. Please support this nonprofit platform to build a better future for your children and future genertations.

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Exciting news for customers: Fine-tuning for Anthropic’s Claude 3 Haiku model is now available in Amazon Bedrock—currently the only managed service to offer this capability. This means our customers can now customize Claude 3 Haiku with their own data to build GenAI applications tailored to their specific needs, while keeping their data secure. Since we launched the preview a few months ago, we've already seen some great use cases. One of our customers, Robin AI, a legal AI company, is using this feature to optimize legal workflows and help lawyers speed up contract processes. With a fine-tuned Claude 3 Haiku in Bedrock, they are helping lawyers finish contract review processes 90% faster. Will be great to see how other customers use this new capability. https://lnkd.in/g2jU8Kfv

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My hope, quixotic as it may be, is for pricing transparency, particularly around inferencing cost...and the elimination of boto3 :-) I know. zero chance. we'll get more services= more opportunities to create massive AWS tech debt. You'll start innocuously enough with a Sagemaker instance reading from a single s3 bucket...and 9 months later you'll get your first bill- 500k (minus the 5k credits you were generously gifted) #ai #rethinkcloudinfra #datascience https://lnkd.in/d3Jf_C2M

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🚀 Exciting News: "Head First C# (5th Edition)" is launched! 🚀 I’m thrilled to announce that "Head First C# (5th Edition)" is officially available on Amazon! 🎉 Check it out: https://lnkd.in/ecuTbaie 👀 After all the hard work, updates, and excitement, it's incredibly rewarding to see it out in the world and ready to help new and experienced developers alike. You can download the first four chapters for free today from our GitHub page: https://bit.ly/hfcsharp This edition is packed with modern C# features, hands-on projects, and engaging exercises designed to make learning C# as effective and fun as possible. Whether you’re just starting out or looking to sharpen your skills, there’s something in this book for everyone. Check it out on Amazon, and I’d love to hear what you think! Your support means the world to me, and I’m so excited for you to dive into C# with this new edition. #HeadFirstCSharp #CSharp #Programming #SoftwareDevelopment #TechBooks #OReillyMedia #ModernCSharp #DeveloperSkills #LearnToCode #BookLaunch O'Reilly

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Did you hear? Anthropic's upgraded Claude 3.5 Sonnet model is now on Vertex AI! When building with the upgraded Claude 3.5 Sonnet on Vertex AI, you get a platform to take your workloads from concept to production with fully managed infrastructure, robust security and privacy, and advanced developer tools. Get all the details, here →

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Did you hear? Anthropic's upgraded Claude 3.5 Sonnet model is now on Vertex AI! When building with the upgraded Claude 3.5 Sonnet on Vertex AI, you get a platform to take your workloads from concept to production with fully managed infrastructure, robust security and privacy, and advanced developer tools. Get all the details, here →

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