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Observing Availability
On the heels (by a few weeks) of my previous post on measuring availability in data streaming systems, here is my 3rd article - it focuses on building observability to monitor the availability of a data streaming service. https://bit.ly/3Agh50X
Measuring Availability in Data Streaming
How should you think about availability and SLA contracts with respect to streaming data systems? #availability #streaming
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Measuring Service Availability
If you’ve ever owned a software system, be it a web site, a web service, or even a scheduled job, you have likely had to define the availability of your system in order to set expectations with your users and customers. Availability is commonly defined in terms uptime and is usually expressed as a percentage of uptime in a given year. When a system is unavailable to a client or customer, the…
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Measuring Service Availability
This is a the first in a series of posts dealing with non-functional considerations (e.g. scalability, availability, operability, observability, reliability, performance, data quality, etc...) for software services from a software developer's / architect's perspective. #availability Measuring Service Availability
If you’ve ever owned a software system, be it a web site, a web service, or even a scheduled job, you have likely had to define the availability of your system in order to set expectations with your users and customers. Availability is commonly defined in terms uptime and is usually expressed as a percentage of uptime in a given year. When a system is unavailable to a client or customer, the…
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The world we live in today is fed by data. From self-driving cars and route planning to fraud prevention to content and network recommendations to ranking an...
“What is the difference between an obstacle and an opportunity? Our attitude toward it. Every opportunity has a difficulty, and every…
At QCon New York last month, PayPal and LinkedIn each unveiled new software projects designed to speed and simplify the movement of data. Both were designed internally to better manage the crushing amount of data and transactions each each Internet service gets, and both are being released as open source packages.
PayPal open-sources NameNodeAnalytics : a useful tool for identifying common HDFS NameNode anti-patterns (e.g. small files, empty files, old files)
PayPal's latest open-source project, Gimel, simplifies data access in the heterogenous big data world we live in.
Romit Mehta and Deepak Chandramouli from PayPal spoke at the recent QCon.ai Conference about Gimel data analytics platform and how it can be used to commoditize data access. InfoQ spoke with Mehta and Chandramouli about the data platform and its support in the areas of security,
QCon.ai is a software practitioner conference in San Francisco designed for software developers, data engineers, and team leaders focused on AI and machine learning.
QCon AI is coming! If interested in speaking about data engineering or data science, ping me.
Wesley Reisz talks to Sid Anand, a data architect at cybersecurity company Agari, about building cloud-native data pipelines. The focus of their discussion is around a solution Agari uses that is built from Amazon Kinesis Streams, serverless functions, and auto scaling groups.
Cloud Native Data Pipeline talk @ GoTo Chicago
Presented at QCon Shanghai 2016 as a keynote
Cloud Native Data Pipelines talk presented at QCon Tokyo & Shanghai 2016
This presentation was recorded at GOTO Chicago 2016 http://gotochgo.com Siddharth "Sid" Anand - Data Architect at Agari Inc ABSTRACT Big Data companies (e.g....
Excited to host QCon SF's #Architectures track this November http://bit.ly/2cc1gi6 with speakers from Slack, Instagram, Twitch, Google, & Dropbox /cc Keith Adams Lisa Guo John Rizzo Rajat Monga and Preslav Le
We were fortunate to sit down with the Sultan of Scalability, Mr. Sid Anand. We talked about how he helped move some of the biggest names in tech from SQL to...