➰ 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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Here's a practical example of how Formal Methods can make code faster: AWS's new proven-correct authorization engine is 65% faster (even at p99.9) than the previous version. https://lnkd.in/gVCdurKh Sean says in the talk "we wouldn't have attempted a lot of optimizations we did without this backing of proof". Formal methods allow us to optimize systems more boldly, by removing the risk that optimizations will affect correctness. They also allow our teams to move faster, with lower risk, by building confidence in correctness early on in the software development process.

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With AWS Machine Learning capabilities now easily accessible, individuals can build cutting-edge models that deliver real value with minimal effort. However, once you’ve proven a small use case, how do you scale and operationalize your models for enterprise use? To take a project from concept to production-ready, organizations need to incorporate enterprise-grade functionality—like tracking code changes, enforcing security standards, and ensuring policy and governance compliance. Using Terraform to build and manage the lifecycle of an ML/AI platform on AWS provides a scalable approach to address these requirements. Terraform can help orchestrate your infrastructure, ensuring your ML models are production-ready and enterprise-compliant. #MachineLearning #AWS #Terraform #AIOps #DevOps #CloudInnovation

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Take a look at ☁️ Emanuel Russo latest blog: it would be helpful for software engineers, specially in this season 😁

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Nice to see that the #CohereRerank API is now available on #AmazonBedrock enabling developers to improve the relevance of responses in #RetrievalAugmentedGeneration (#RAG) apps built in Bedrock. The reranker models rank a set of retrieved KnowledgeBase documents based on their relevance to a user's query, helping to prioritize the most relevant content to be passed to the Bedrock foundation models for response generation. For Amazon Bedrock Knowledge Base users, enabling the reranker is through a setting available in Retrieve and RetrieveAndGenerate APIs. The Rerank API supports Amazon Rerank 1.0 and Cohere Rerank 3.5 models. These models are available in US West (Oregon), Canada (Central), Europe (Frankfurt) and Asia Pacific (Tokyo). #AI #EnterpriseAI https://lnkd.in/e7a-eqvr

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45 days until #AWS #reinvent2024 in Las Vegas. Here is my top 10 list of the sessions I'm excited about: 1️⃣ OPN311 | Harnessing Apache ActiveMQ: ActiveMQ 6.x features and roadmap - with JB Onofré and Jules Graybill 2️⃣ ANT327 | What's new: Data streaming on AWS - with Ashish Palekarand Anusha Dasarakothapalli 3️⃣ ANT412 | Ingest streaming data into Apache Iceberg tables with AWS Streaming - with Ravikiran Rao and Amar Surjit 4️⃣ ANT324 | Accelerate value from data: Migrating from batch to steam processing - with Usama Naseem and Sofie Zilberman 5️⃣ ANT342 | Operate and scale managed Apache Kafka and Apache Flink clusters - with Sai Maddali and Ali Alemi 6️⃣ API401 | Multi-tenant Amazon SQS queues: Mitigating noisy neighbors - with Vinodh Kannan Sadayamuthu and Dirk Fröhner 7️⃣ API312 | Best practices to migrate your existing message broker to AWS - with Vinodh Kannan Sadayamuthu and Daniel Fargano 8️⃣ ANT318 | Building serverless streaming data pipelines for real-time analytics - with Mostafa Mansour and Gregory K. 9️⃣ AUT319 | Learnings from BMW's global software development platform on AWS - with Christian Mueller 🔟 FSI310 | BBVA Corporate & Investment Banking: Building a multi-region, multi-country data platform at scale - with Ignacio Fernandez and Federico Esteban What sessions have you marked as favorites? Drop the session ID in the comments. The catalog is available here:

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This is a big launch for Amazon Elastic Kubernetes service ! So far, EKS provided a managed control plane. But now, EKS can also manage infrastructure for your application. It provides the following functionality: 👉 Compute auto scaling and management 👉 Application load balancing management 👉 Pod and service networking and network policies 👉 Cluster DNS and GPU support 👉 Block storage volume support Miguel Lima Faraz Masood

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🕵️‍♀️ Kubernetes Secrets got you puzzled? Sam Gabrail, Platform Engineer and Trainer, has your back. In his latest video and blog, Sam demystifies Kubernetes Secrets, busts common myths, and shows you how to secure them effortlessly with Akeyless Security. Learn: ✔️What Kubernetes Secrets are and why you need them. ✔️Types of Kubernetes Secrets and their uses. ✔️Common misconceptions debunked. ✔️Hands-on demo with Akeyless. Check the blog and video for clear, actionable insights and take control of your Kubernetes Secrets. Read here to get started! https://okt.to/sEPfSu #DevSecOps #DevOps #SecretsManagement

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Folks I've spoken to about Amazon have likely heard me talk about the importance of the PR/FAQ process, a.k.a. "the working backwards process". This blog posts gives a very nice example of a PR/FAQ. https://lnkd.in/edTeuVRQ. Note that the blog doesn't capture the presumably 100s of reviews/discussions/rewrites that this doc represents, which is a part of the real value. When the process is done it all looks so simple, but getting a large organization to make a decision to something simple and do it in a BIG way is the challenge the fun of it all.

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Build your transcoder with FFMPEG 7.0.1

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AWS deprecating a few services. "S3 Select, CloudSearch, Cloud9, SimpleDB, Forecast, Data Pipeline, and CodeCommit" The one-stop-cloud-shop was never a thing. At least for me. https://lnkd.in/dxc6FrTy #aws #devops #architecture

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Well done #AWS for promptly fixing an S3 billing edge-case! Interesting S3 cost issue in this blog: "How an empty S3 bucket can make your AWS bill explode". In brief: external unauthorised (denied) requests to a new empty S3 bucket were being charged - $1,300 within two days. The author had inadvertently chosen the same bucket name that was the placeholder default configuration in a popular open-source tool!    https://lnkd.in/eNEqedR8 That blog was published on 29th April 2024. On 13th May, AWS fixed this problem: "Amazon S3 will no longer charge for several HTTP error codes". https://lnkd.in/eMXuhhu8 To quote that announcement: "bucket owners will never incur request or bandwidth charges for requests that return an HTTP 403 (Access Denied) error response if initiated from outside their individual AWS account or AWS Organization."

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KubeVirt is a way to run VMs on Kubernetes. No, not resources in Pods (like a container), but actual Virtual Machines. It creates a new resource via the KubeVirt CRDs that is a VM-based object, not a container. In this quick 5 minute article, you'll learn how to install it on any Kubernetes cluster. https://buff.ly/47vDRRm #kubernetes #devops #platformengineering

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I wanted to seek the advice of my friends, colleagues and peers regarding AWS EKS. it seems that the default settings are to build it with the API public to the internet. This feels like a very bad Idea to me, but on the plus side, it means my helm charts are very easily deployed by git hub runners. So my question, what do people do regarding EKS API access, and if people keep it private only, how do they then connect from services outside of AWS like GitHub actions? Thanks in advance... ** UPDATE ** Just to close the loop on this, and many thanks for all of your thoughts and suggestions. I've implemented a hosted Github runner inside our VPC which is running perfectly. Thanks :-)

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Sometimes small changes are a big deal. S3's per-account bucket limit has meant that buckets have been more of a human provisioning thing, starkly different from objects, which tend to be interacted with primarily from code. For years, customers have been asking us to increase this limit -- and in the storage innovation talk at re:Invent this year, i'd tell a bit of a story about why it was a more complicated bit of work than you might expect. With this limit increase, buckets have become a much more programmatic construct. We hear customers talking about using buckets, with these limit increases, as a way of managing data sharing with their own customers and using them to more effectively isolate data for specific jobs and teams. If larger numbers of buckets opens up a new pattern for you, I'd love to hear more about it. These launches, like object consistency, S3 conditionals, and big bucket limit increases have a tendency to fly a little below radar. But they are the ones that I actually hear the most excitement back from developers about, because they really broaden S3 as a programmatic interface to your data, and a building block for really incredible systems. I'm so impressed with the hard and careful work on the team that went in to getting this one out. https://lnkd.in/gA2cWATM

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Sharing a great technical blog post from Tomas Hruby. As organizations increasingly adopt eBPF dataplanes as a faster and higher performing alternative to kube-proxy, compatibility issues can arise. This blog goes over some challenges of integrating NodeLocal DNSCache with eBPF and provides a solution tailored for Calico environments. Don't hesitate to reach out if you have any questions about Calico eBPF! https://lnkd.in/gH89DKyJ

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