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Harish Ganesan @harish11g

Ex-CTO , 13 yrs in Cloud. Tweets about AWS, AI, Data, Kubernetes @invisibl_io harish11g.blogspot.com Chennai , India Joined August 2010
  • Tweets
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  • Followers
    1K
  • Following
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Harish Ganesan @harish11g

4 years ago

Building Internal Kubernetes Platforms: Part 1 – Self Service #Kubernetes #platforms invisibl.io/blog/building-…

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Harish Ganesan @harish11g

5 years ago

Does @TigerGraphDB have neo4j graph data science library equivalent to make our life easy ? any python libraries for the same will be useful in our evaluation

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Harish Ganesan @harish11g

5 years ago

Currently evaluating Neo4j vs AWS Neptune ? any suggestions which is better for building knowledge graphs, complex traversals and integration with ML/AI community.neo4j.com/t/neo4j-vs-aws… #neptune #neo4j

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Harish Ganesan @harish11g

5 years ago

TimescaleDB vs. InfluxDB comparison. We have chosen TimescaleDB as our storage, will share my experience in coming months. blog.timescale.com/blog/timescale… #timeseries #influxdb #timescaledb

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Harish Ganesan @harish11g

5 years ago

ThirdEye: #LinkedIn’s Business-Wide Monitoring Platform engineering.linkedin.com/blog/2019/01/i…

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Harish Ganesan @harish11g

5 years ago

Knowledge graphs for #SRE, How it is useful in incident response . Good one from @dm03514 medium.com/dm03514-tech-b…

Harish Ganesan retweeted
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Raghu @raghuramanb

5 years ago

1/ Out of all #reInvent announcements so far, the only announcement that I keep going back in my head is the S3 strong read-after-write consistency. Read on 👇 🧵#aws #s3

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Harish Ganesan @harish11g

5 years ago

Good one

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Raghu @raghuramanb

5 years ago

Good one

Harish Ganesan retweeted
raghuramanb Profile Picture

Raghu @raghuramanb

5 years ago

1/ We have had @dynamodb streams for Change Data Capture of DynamoDB tables for few years now. But yesterday a new Kinesis Data Streams based model was announced and it got me digging into the differences between them. A thread on the key differences 👇 aws.amazon.com/about-aws/what…

Harish Ganesan retweeted
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Raghu @raghuramanb

5 years ago

You have a Data Lake on S3. Your users use many #AWS services (Athena, Glue, EMR) to analyze data. You have sensitive data that needs to be restricted to only few users. Irrespective of which service they use. Here’s how: cloudstaq.io/column-level-p… #datalake #datagovernance

Harish Ganesan retweeted
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Raghu @raghuramanb

5 years ago

If you are building a Data Lake, here’s a logical view of all the components that are involved The top section “Governance & Security” is super important and is often not well thought through until issues start cropping up #datalake #analytics #datagovernance

Harish Ganesan retweeted
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Raghu @raghuramanb

5 years ago

1/ How to build an analytics pipeline on #AWS that can analyse a TB of data for $100? A thread 👇

Harish Ganesan retweeted
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Raghu @raghuramanb

5 years ago

1/ One of the AWS services that always amazes and excites me is @dynamodb . And I also eagerly wait every year for @jeffbarr update on how AWS powered Prime Day that year where I rush to see DynamoDB numbers. A thread on how DynamoDB has evolved and scaled over the years 👇

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Harish Ganesan @harish11g

5 years ago

Excellent thread on #awscloud #dynamodb by @raghuramanb

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Raghu @raghuramanb

5 years ago

Excellent thread on #awscloud #dynamodb by @raghuramanb

Harish Ganesan retweeted
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Raghu @raghuramanb

5 years ago

1/ Everyone understands the power of APIs. But what happens when a Database gets an API? #AWS #Redshift got one recently and it opens up plenty of new use cases. A thread 👇

Harish Ganesan retweeted
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Raghu @raghuramanb

5 years ago

Streaming ETL in AWS Glue now supports reading from self managed Kafka. With this, you can use Glue to process streaming data from Kinesis Data Streams, Amazon MSK, Self managed Kafka anywhere (cloud or on-prem). More details here: docs.aws.amazon.com/glue/latest/dg… #AWSGlue #Kafka

Harish Ganesan retweeted
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Raghu @raghuramanb

5 years ago

If you are building a Data Lake, it is super important that these 3 pillars are completely de-coupled: Compute, Storage and Catalog. This will allow you to solve wide range of use cases and provide maximum flexibility in tools that you can use #datalake

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Harish Ganesan @harish11g

5 years ago

Continuous Delivery for Declarative #Kubernetes, #Serverless and Infrastructure Applications pipecd.dev

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Harish Ganesan @harish11g

5 years ago

Kubernetes Cluster Cloner github.com/doitintl/Clust… #Kubernetes #EKS #AKS #GKE

Harish Ganesan retweeted
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Lumigo @Lumigo

5 years ago

Congrats to everyone at @awscloud on the release of AWS Lambda Extensions. @theburningmonk has written up our take on it and how we're supporting it bit.ly/3ltEGkO

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