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NklMish
@nklmishSoftware Engineer around JVM. Solutions Architect @confluentinc Give. Live. Love. Laugh. 🧘♂️🥥 nklmish[at]https://t.co/LpPvQHdIi0
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3 key requirements of an ideal Analytics platform - 1. Data freshness, 2. fast response times 3. Full SQL. Apache Pinot takes care of 1 and 2. Uber added a presto-pinot connector and now you can get all 3 on top of Pinot. eng.uber.com/engineering-sq…
#ksqldb is doing awesome ETL things in steaming data and saves a lot of time. We implemented this to filter and flatten the #debezium output for #mysql #cdc data. #kafka #ksql #json #etl lnkd.in/fM4-UHV
SSDs are getting crazy performance. We so need async IO to overcome the syscall overhead. tomshardware.com/uk/news/samsun…
Join this webinar with @RocksetCloud's @RocksDB founding engineer @dhruba_rocks to learn best practices for @apachekafka and event streams. January 14th - register now! register.gotowebinar.com/register/13132…
Managing Failure Modes in Microservice Architectures infoq.com/presentations/… < Hey Enterprise Architects, focus on this kind of thing in 2020! Good stuff from @adrianco up on @InfoQ Transcript included.
i wanted a better way to keep up with all new features from @awscloud ie. just show me the apis that changed with diffs. awsapichanges.info does just that, thanks @ben11kehoe for the feedback.
Fuck yeah. The accountability employees are able to bring to companies behaving badly is real and its powerful. What a great outcome. Let this be an inspiration to both journalists and employees on how to work together to reform companies.
Netflix have made their own Change Data Capture (CDC) tool for MySQL and PostgreSQL… though maybe it would have been better to contribute to @debezium? medium.com/netflix-techbl…
JAVA or C# would also be close, and there are good reasons to prefer those over C++ for servers. Many other languages would also be up there, the contrast is with Really Slow (but often productive and fun) languages.
My formative memory of Python was when the Quake Live team used it for the back end work, and we wound up having serious performance problems with a few million users. My bias is that a lot (not all!) of complex “scalable” systems can be done with a simple, single C++ server.
So, earlier today, Google published a whitepaper on 🌟BeyondProd🌟, about how Google does cloud-native security. Here’s a summary thread /1
My BPF book is publishing today as an eBook (it's already on Amazon), and InformIT have a 55% off for 2 or more Black Friday sale until Dec 3rd! Get copies for your whole team (thank you). Code "BF2019". informit.com/store/bpf-perf… brendangregg.com/bpf-performanc… #BPF
When messages are transmitted they should include at minimum: 1. Message name 2. Name of service which owns the contract of the message 3. Message version 4. Message unique id 5. Correlation id 6. Causation id 7. UTC Timestamp [1 of 5
Woot, support for helpful NullPointerExceptions (JEP 358, openjdk.java.net/jeps/358) has landed in the @java 14 early access builds! Opt-in for now (-XX:+ShowCodeDetailsInExceptionMessages), planned to be enabled by default in JDK 15. Loving this, great improvement 🤩! #OpenJDK
We think this is a big step in making stream processing easier. I'm really excited about it. confluent.io/blog/intro-to-…
Today marks a new release of KSQL, one so significant that we’re giving it a new name: ksqlDB confluent.io/blog/intro-to-… ksqlDB has 2 new additions: inbuilt @apachekafka connector mgt and pull queries. So stream processing apps will be as easy to build as CRUD apps w/ relational DBs
Announcing ksqlDB: the event streaming database for stream processing apps. ksqlDB combines the power of a stream processor with the familiarity of a relational database. Integrates natively with @apachekafka Learn more from @jaykreps: cnfl.io/introducing-ks…
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