techfindin

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COME BACK FROM HIATUS!!!

Hello everyone! I’m not sure if people are still viewing my studyblr blog. Though anyway, the last few updates that I had posted was about my graduation and finally having a degree in Bachelor of Science in Civil Engineering.

After that, I reviewed for the most prestigious engineering examination here in the Philippines, the engineering licensure examination :) [This examination decides if you’ll be acknowledge as a professional engineering in the Philippines] And I managed to pass the examination on my first take! As I have said before, “I may have graduated, but I’ll always be studying-engineering” and right now, I was accepted as a research assistant in South Korea, currently taking my master’s degree, major in structural engineering! I’m not sure if I could still post those pretty lecture notes anymore, so, do you have any idea how I could still make my blog go on? :)

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AMQP protocol support

OpenWire support for ActiveMQ 5 clients

STOMP protocol support

HornetQ Core protocol support for HornetQ 2.4,2.5 clients

JMS 2.0 and 1.1 support

High availability with shared store and non shared store (replication)

Flexible Clustering

High performance journal for message persistence

Queue memory limitation

SSL support

Management over JMX, JMS and core protocol

Large message support

Topic hierarchies

Producer flow control

Consumer flow control

Diverts

Last value queue

Message Groups

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Impala is the open source, native analytic database for Apache Hadoop. Impala is shipped by Cloudera, MapR, Oracle, and Amazon.

Do BI-style Queries on Hadoop

Impala provides low latency and high concurrency for BI/analytic queries on Hadoop (not delivered by batch frameworks such as Apache Hive). Impala also scales linearly, even in multitenant environments.

Unify Your Infrastructure

Utilize the same file and data formats and metadata, security, and resource management frameworks as your Hadoop deployment—no redundant infrastructure or data conversion/duplication.

Implement Quickly

For Apache Hive users, Impala utilizes the same metadata, ODBC driver, SQL syntax, and user interface as Hive—so you don't have to worry about re-inventing the implementation wheel.

Count on Enterprise-class Security

Impala is integrated with native Hadoop security and Kerberos for authentication, and via the Sentry module, you can ensure that the right users and applications are authorized for the right data.

Retain Freedom from Lock-in

Impala is open source (Apache License), so you can self-support in perpetuity if you wish. However, technical support for those who want it is available via a Cloudera Enterprise subscription.

Expand the Hadoop User-verse

With Impala, more users, whether using SQL queries or BI applications, can interact with more data through a single repository and metadata store from source through analysis.

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Ibis is a new Python data analysis framework with the goal of enabling data scientists and data engineers to be as productive working with big data as they are working with small and medium data today. In doing so, we will enable Python to become a true first-class language for Apache Hadoop, without compromises in functionality, usability, or performance. Having spent much of the last decade improving the usability of the single-node Python experience (with pandas and other projects), we are looking to achieve:

100% Python end-to-end user workflows

Native hardware speeds for a broad set of use cases

Full-fidelity data analysis without extractions or sampling

Scalability for big data

Integration with the existing Python data ecosystem (pandas, scikit-learn, NumPy, and so on)

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Bosun is an open-source, MIT licensed, monitoring and alerting system by Stack Exchange. It has an expressive domain specific language for evaluating alerts and creating detailed notifications. It also lets you test your alerts against history for a faster development experience.

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Stout is a deploy tool for static websites. It takes a website and uploads it to S3 in a more reliable way than other tools.

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Kontena provides tools for deploying, managing, scaling and monitoring containerized applications on any cloud infrastructure.

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Geogig: Git for Geo Spatial Data

Geogig

GeoGig is an open source tool that draws inspiration from Git, but adapts its core concepts to handle distributed versioning of geospatial data.

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Apache Mina: Apache NIO

Apache Mina

Apache MINA is a network application framework which helps users develop high performance and high scalability network applications easily. It provides an abstract event-driven asynchronous API over various transports such as TCP/IP and UDP/IP via Java NIO.

Apache MINA is often called:

NIO framework library,

client server framework library, or

a networking socket library

Apache MINA comes with many subprojects :

Asyncweb : An HTTP server build on top of MINA asynchronous framework

FtpServer : A FTP server

SSHd : A Java library supporting the SSHH protocol

Vysper : An XMPP server

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An extremely simple, pluggable static site generator.

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GRSecurity: Harden those Boxes

GRSecurity

For over the past decade, grsecurity has provided webhosting companies and other users of Linux the highest level of security available for any mainstream OS.

Unlike other expensive security "solutions" that pretend to achieve security through known-vulnerability patching, signature-based detection, or other reactive methods, grsecurity provides real proactive security. The only solution that hardens both your applications and operating system, grsecurity is essential for public-facing servers and shared-hosting environments.

Only grsecurity provides protection against zero-day and other advanced threats that buys administrators valuable time while vulnerability fixes make their way out to distributions and production testing.

Add increased authentication for administrators, audit important system events, and confine your system with no manual configuration through advanced Role-Based Access Control.

Use Trusted Path Execution to prevent users from executing their own binaries or binaries in unsafe locations.

Invisibly reinforce the most common filesystem isolation, turning it into a true jail.

Through partnership with the PaX project, creators of ASLR and many other exploit prevention techniques -- some now imitated by Microsoft and Apple, grsecurity makes many attacks technically and economically infeasible by introducing unpredictability and complexity to attempted attacks, while actively responding in ways that deny the attacker another chance.

Available for free under the GNU GPL version 2 with commercial support and the opportunity to sponsor our work, grsecurity brings you the security of the next decade, today.

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Boxen: Automatic for Mac

Boxen

Boxen is your team's IT robot. It's a dangerously opinionated framework that automates every piece of your development environment. GitHub, Inc. wrote the first version of Boxen (imaginatively called “The Setup”) to help employees start shipping on day one. It's configuration management for everyone: Designers, HR mavens, legal eagles, and developers. We believe that development is production, so we value consistency, predictability, and reproducibility over artisanal, hand-tweaked development environments.

We ditched The Setup and wrote Boxen so it's easily usable by any company, not just GitHub. We've extracted most Boxen features into modules that can be mixed and matched to create your perfect environment, and custom behavior is always just a module away.

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Astyanax: Brother to Cassandra

Astyanax

Astyanax is a Java Cassandra client library. Astyanax was the son of Hector in Greek mythology. As such, Astyanax is a refactoring of Hector into a cleaner abstraction for the connection manager and a simpler API.

Astyanax provides a complete abstraction of the connection pool implementation from the API layer. Some key features include,

    Automatic failover with context

    Pinning request to a specific host

    Host partitions based on token ranges

    Pluggable latency tracking strategy

    Pluggable host selection (ex. Round Robin, Lowest latency first)

    Pluggable bad host detector to determine when to mark a host as down (ex. if it times out too frequently)

    Pluggable monitor interface. There is no logging inside the connection pool.

    Pluggable host retry backoff strategy.

    Pluggable node discovery strategy. Can use ring_describe or custom node registry service.

    Minimal use of synchronized by using non-blocking data structures

Provided implementations

    Basic round robin

    Token aware

    Bag of connections

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Bamboo: Data Bamboozled

Bamboo

bamboo is an application that systematizes realtime data analysis. bamboo provides an interface for merging, aggregating and adding algebraic calculations to dynamic datasets. Clients can interact with bamboo through a REST web interface and through Python.

bamboo supports a simple querying language to build calculations (e.g. student teacher ratio) and aggregations (e.g. average number of students per district) from datasets. These are updated as new data is received.

bamboo uses pandas for data analysis, pyparsing to read formulas, and mongodb to serialize data.

bamboo is open source software released under the 3-clause BSD license, which is also known as the “Modified BSD License”.

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Suro: Pipe that Data In

Suro

Suro is a data pipeline service for collecting, aggregating, and dispatching large volume of application events including log data. It has the following features:

It is distributed and can be horizontally scaled.

It supports streaming data flow, large number of connections, and high throughput.

It allows dynamically dispatching events to different locations with flexible dispatching rules.

It has a simple and flexible architecture to allow users to add additional data destinations.

It fits well into NetflixOSS ecosystem

It is a best-effort data pipeline with support of flexible retries and store-and-forward to minimize message loss

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Harvest, clinically mine data.

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MADlib: Analytics In-Database

MADlib

MADlib is an open-source library for scalable in-database analytics. It provides data-parallel implementations of mathematical, statistical and machine-learning methods for structured and unstructured data.

The MADlib mission: to foster widespread development of scalable analytic skills, by harnessing efforts from commercial practice, academic research, and open-source development.