Do you use CloudWatch Log Classes? They can help you save big time on your CloudWatch bill. ☁💸 Checkout our latest post: https://lnkd.in/gFzBr848 #AWS #CloudWatch #FinOps #CloudCosts
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How to Setup TTL for Records and Practical Use Cases https://lnkd.in/ddEDJZwJ Amazon Web Services (AWS) #aws #awslambda #businesscompassllc
How to Setup TTL for Records and Practical Use Cases
https://businesscompassllc.com
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Learn how to optimize storage costs and query performance by compacting small log files into larger objects using AWS Step Functions via Josh Hart, Kim Banga, and Thomas Moore on Amazon Web Services (AWS) https://lnkd.in/dhR7BwsT #aws #awscloud
Optimizing storage costs and query performance by compacting small objects | Amazon Web Services
aws.amazon.com
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There are many very useful services on AWS that don't require you to spin up any VMs or setup anything else to use. One thing that is key to using AWS (and other cloud providers) is understanding how billing works and make sure you setup alarms for billing and use tools like Cost Anomaly Detection to help notice unexpected charges. This article from José David Arévalo is a very interesting read about a case where costs for the Amazon Athena service spun out of control for them and some tips on how to avoid something like this happening to you. Amazon Athena is a serverless query engine that allows you to run SQL-like queries on data sitting in S3 buckets. It is a great tool that allows you to look through your data without setting up an actual database. https://lnkd.in/eWB5wHq5
When AWS Athena costs skyrocket: Key lessons and how to avoid them
jdaarevalo.medium.com
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Amazon DataZone now integrates with AWS Lake Formation hybrid access mode to simplify secure and governed data sharing in the AWS Glue Data Catalog. This helps customers use Amazon DataZone for data access control across on-premises and cloud data lakes. #aws #awscloud #cloud #amazondatazone #announcements #awsglue #awslakeformation
Amazon DataZone announces integration with AWS Lake Formation hybrid access mode for the AWS Glue Data Catalog
aws.amazon.com
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If you’re ever browsing through the different AWS services and offerings, you might have come across AWS State Machines and gotten scared by the name. In reality, the state machine service allows you to chain events easily and seamlessly. In addition to its usage to chain other AWS services together, State Machines have some cool integrations up their sleeves, which can save you writing your own logic. Less moving parts means less stuff that can break! I wrote a two part blog about real life scenarios you can solve using AWS state machines. Scenario 1: How to log CloudTrail events to DynamoDB by using a State Machine to write directly to DynamoDB. Scenario 2: How to trigger a lambda function multiple times in parallel. (parallel data processing using lambda and state machines) I hope these blogs can help you dip your toes into state machines, or help you solve a problem for your business! https://lnkd.in/ed5epSnu https://lnkd.in/eaUYy8UT #aws #serverless #cloud #tutorial #awscommunity
Log CloudTrail events to DynamoDB using AWS State Machine
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CloudTrail logs object operations like PutObject and GetObject for auditing. Leverage high performance and low cost for latency-sensitive workloads. #aws #awscloud #cloud #amazonsimplestorageservices3 #announcements #awscloudtrail #launch #news
Monitor data events in Amazon S3 Express One Zone with AWS CloudTrail
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Curious about how to build a multi-cloud resource data lake for SecOps, ITOps, and FinOps functions and how to normalize the data to perform analytics against it? Check out this Amazon Web Services (AWS) bog post that details how to avoid operational challenges with applications distributed across a cloud estate that spans not only multiple Cloud Service Providers (CSPs) but also regions and accounts on AWS (or Subscriptions and Projects on other providers).
Building a Multicloud Resource Data Lake Using CloudQuery | Amazon Web Services
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At LazyPay, we adopted FinOps practices to optimize cloud spending and promote 💵 financial accountability and 🔍 transparency. Read our blog on this is a playbook for anyone looking to optimize the cost 💰 of a data platform. For more, follow: Shubham Setia
Big Data, Bigger Savings: A Million-Dollar Success Story
techblog.lazypay.in
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The Amazon Athena Neptune connector is an AWS Lambda function that connects Athena to Neptune to query the graph. This post provides a guide to integrate the connector and query Neptune using Gremlin and SPARQL. #aws #awscloud #cloud #amazonathena #amazonneptune #awsglue #intermediate200 #technicalhowto
Query RDF graphs using SPARQL and property graphs using Gremlin with the Amazon Athena Neptune connector
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Migrating data to the cloud can be complicated, but with Protegrity and Amazon Web Services (AWS), it can be both efficient and effective. In this post by Alexandre Charlet, Principal Solution Engineer at Protegrity, and Venkatesh A. of AWS, they describe value of a joint solution. I learned a lot. I hope you do too. https://lnkd.in/eeQ-TFdJ
Data Tokenization with Amazon Redshift Dynamic Data Masking and Protegrity | Amazon Web Services
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