Hiring at Terracotta - Performance/Testing Engineer and or Lead

Working at Terracotta is just about the best job someone could want (my humble opinion). Fast paced, super smart people, lots of interesting problems and widely adopted products wrapped up in a nice little package known as a fast growing startup. So send your resume now!

These positions can be either in San Francisco or Noida India.

About Terracotta:

Terracotta is the a fast growing company behind the most widely used software for application scalability, availability and performance. Our software is deployed in more than 250,000 enterprise installations, including the majority of the Fortune 2000.

Snap-in Scale and Performance

Terracotta's software products provide snap-in performance and scale for enterprise applications. With a simple change in two lines of configuration, Terracotta customers can run enterprise applications 10x faster and scale them―from one node, to 1000s, even to the cloud―without re-writing code or compromising performance or reliability.

A Leader in Distributed Caching

In “The Forrester Wave™: Elastic Caching Platforms, Q2 2010,” Forrester named Terracotta a Leader in this emerging market and ranked us strongest in strategy among eight elastic caching platforms.

http://www.terracotta.org

Where we are:

Our main headquarters are in San Francisco, CA in the SOMA area. We have an office in Noida, India and we have super star developers all over the world.

Description for LEAD QA Engineer

At Terracotta quality and stability in our product are our primary

objectives. Join our highly motivated, fast paced, agile, quality driven development team

where you will have many great opportunities to make an impact on

product capabilities and success in your role as QA Lead.

As a valued member of our tech lead team you will:

* Develop, maintain, and enhance both unit testing and performance

testing frameworks

* Design test strategies, develop test tools and implement test cases to

ensure highest quality deliverables for maintenace and new feature releases

* Improve the overall productivity of all of your co-workers by

identifying tools and processes to increase overall efficiency

* Create and maintain functional, performance, stress and endurance tests

* Diagnose and debug issues in a production environment

* Work closely with Engineering to understand the Product Architecture

and work on identifying, designing or enhancing existing test frameworks

to support backend test development

* Mentor and manage QA Engineers in a distributed team

Qualifications

* Proven track record as a lead in development and/or QA

* Motivated to improve existing processes, test strategies

* Strong knowledge of Java or other related programming languages

* Strong Knowledge in at least one scripting language such as Perl or Ruby

* Experience in creating back end test frameworks

* Ability to work independently to triage issues and prioritize tasks

* Strong understanding of QA Process

* Strong communication skills (verbal and written)

* Experience with code coverage and test tool development

* Experience with UNIX

* Experience with distributed caches, high availability products, and/or NoSQL solutions

* Experience with common java frameworks and containers such as Spring, Jetty, Hibernate, Ehcache, Quartz

* Ability to focus on multiple projects while in differing SDLC phases

If that's you and you meet most of the below criteria send us your resume careers@terracottatech.com.

Hiring at Terracotta...

Working at Terracotta is just about the best job someone could want (my humble opinion). Fast paced, super smart people, lots of interesting problems and widely adopted products wrapped up in a nice little package known as a fast growing startup. So send your resume now!

About Terracotta:

Terracotta is the a fast growing company behind the most widely used software for application scalability, availability and performance. Our software is deployed in more than 250,000 enterprise installations, including the majority of the Fortune 2000.

Snap-in Scale and Performance

Terracotta's software products provide snap-in performance and scale for enterprise applications. With a simple change in two lines of configuration, Terracotta customers can run enterprise applications 10x faster and scale them―from one node, to 1000s, even to the cloud―without re-writing code or compromising performance or reliability.

A Leader in Distributed Caching

In “The Forrester Wave™: Elastic Caching Platforms, Q2 2010,” Forrester named Terracotta a Leader in this emerging market and ranked us strongest in strategy among eight elastic caching platforms.

http://www.terracotta.org

Where we are:

Our main headquarters are in San Francisco, CA in the SOMA area. We have super star developers all over the world.

Who we are looking for:

Have you written or worked on a distributed system, messaging system or NoSQL solution? Do you love cool, hard problems? Are you good at design API's that work well in todays Java Applications? Can you work both in a group and on your own?

Qualifications:

• Works hard and solves hard problems
• Strong OO/Framework design sense
• Understand the Java Landscape in a deep way (i.e. Spring, J2EE, Ehcache, Quartz, Rest, SOAP, NoSQL)
• Excited about performance, caching and scale-out
• Love to code and write tests
• Works well in a team and individually
• Believes that the only way to know if something works is to test it in a repeatable way

Nice to have:

• Experience with open-source
• Live in/near San Francisco
• Tech Lead experience

Responsibilities:

• Design and build the next generation of scale-out, performance and HA software.
• Contribute to and extend Terracotta, Ehcache and/or Quartz Scheduler, some of the most popular and widely used frameworks in Java

If that's you and you meet most of the below criteria send us your resume careers@terracottatech.com.

A Couple Minutes With Some Toolkit Samples

Last night we released Beta 2 of the Terracotta 3.3 release. It has a number of improvements and updates to the Terracotta Toolkit including improved naming and factoring and additional clustered classes like AtomicLong and List. You can grab that or to get the absolute latest you can grab a nightly (my preference because the beta doesn't work with maven)

I pushed a couple of toolkit samples to GitHub (which by the way is awesome!). I didn't do hardly any cleanup or comments so just post questions to the blog if you need help.

http://github.com/sharrissf/Terracotta-Tools-and-Samples/

If your a Git user already I don't need to tell you how to check it out. If your not just hit "download source" on the upper right of the web page and don't worry about Git.

Four examples are included:

PlayingWithMapOfLocksExpress - A quick sample that show's how to create a clustered Map of Locks.

PlayingWithToolkitBarrier - Example of using a Cyclic barrier to coordinate between processes

PlayingWithToolkitClusterInfo - Example showing how to register a listener for cluster events.

PlayingWithToolkitQueue - Little sample on using a queue between two nodes

PlayingWithToolkitClusterCounter - Basic sample that show's using a clustered atomic long

You can run these from the command line by:

1. Downloading and unpacking the nightly build or beta from Terracotta
2. Staring the Terracotta server by calling the ./bin/start-tc-server.sh
3. Running 2 instances of the compiled versions of any of the above

java -cp target:INSTALL_DIR/common/terracotta-toolkit-1.0-runtime-ee-1.0.0-SNAPSHOT.jar PlayingWithToolkitClusterInfo

You can also run them using the Terracotta Maven Plugin:

mvn tc:run

To switch between the samples edit the pom.xml

A Couple Minutes With The Terracotta 3.3 Beta

With Terracotta platform version 3.3 our goal of creating an accessible application performance and scale-out solution is taking another big step forward. It's important to us that developers can find success using the ubiquitous Ehcache for performance, Hibernate for an ORM, Http Web Sessions for user state and Quartz for scheduling in a single node application. Then, without much thought or effort, add a couple lines of config to achieve scale-out and HA serving needs all the way through enterprise apps and into the cloud.

We have focused on a couple of high level areas in this release to take our solution to the next level.

• Simple Scale - Reduce the need for tuning and tweaking with an improved next gen datastore. It will allow the everyday user to achieve the kinds of scale needed for massive applications both in data size and number of nodes.

• Improved Visibility - We have added panels for Quartz and Sessions to our developer console giving full visibility to the full suite of performance and scale-out products. We have also added a more product focused organization of information in the tool.

• Simple HA - A new panel that makes it easier to monitor interesting events that occur in a cluster. Pre-built templates for various configurations. Simplified way of migrating nodes, better defaults.

• Modularity - We have exposed some of our most powerful pieces and parts as a versioned standard API that can be simply coded against to get things like, locking, queuing, maps and cluster topology. We use this API to build all four of our core products (Ehcache, Quartz, Hibernate 2nd level cache, Web Sessions).

While not everything made into the beta, enough is there to get a taste of where we are going. I encourage people to download it and try it as soon as possible. GA is just around the corner. Learn more on the release notes page.

Steve Jobs Stanford Commencement

Was reading a couple stories on the web this morning and I ran into two somewhat interesting lists over at Time Magazine. I kinda mocked the first one upon reading the title "Top 10 College Dropouts." I laughed and said to my Coworker and friend Orion, "Must be a slow news day!" Followed by spending the next 10 or 15 minutes dissecting the article. How many were either from or lived in California? how many dropped out of Harvard? Who the heck is Buckminster Fuller? "About 10 minutes in Orion rightly pointed out, "Article can't be too bad since you've spent the last 10 minutes talking about it." Of course he was right.

Followed that up by clicking a link taking me to the next list called "Top 10 Commencement Speeches." I know what your thinking now, "How much free time does this guy have?" I was enjoying a little candy after a hard working morning ;-). Anyway, I digress. I noticed that one of the names was on both lists. You guessed it, Steve Jobs, someone that anyone who has ever built anything of any kind should at least respect.

I set about to watch the commencement speech he gave in 2005. He basically tells 3 stories from his life experience. Much like Randy Pausch's last lecture their is a lot to be learned here. The first two stories are awesome and inspirational and many of us can relate to and learn from them. The third is also good/inspirational but a bit dark and kind of scary and depressing.

Anyway, since in this speech Steve talks so much about time, I will lead in with the opinion that listening to this commencement is time well spent. Check it out!

A Couple Minutes With Non-Stop Ehcache

Sometimes you just want to have an SLA (Service Level Agreement) when dealing with a component like a cache. You want to know that no matter what goes wrong, disk failures, deadlocks, network down, database locked up (for write-through) your threads won't be blocked for longer than your SLA. In the security world this is analogous to Layered Security where one is protected at multiple layers from breaches. In this case you are protected at multiple layers from hangs.

Non-Stop Ehcache

In comes NonStopCache. This is a decorator for Ehcache that allows one to specify an SLA. When using this decorator no operation is allowed to take longer than the SLA provided. All operations are isolated from the cache via a thread pool providing complete protection. The NonStopCache has multiple ways of configuring it. One can setup whether to serve stale data, perform noops or throw exceptions when SLA's are being violated covering most of the cases one needs.

Getting Started

Here's what I did to get started using clustered Ehcache and NonStopCache:

• Download Ehcache 2.1
• Download the NonStopCache 1.0
• Start the Terracotta server

ehcache-2.1.0-beta/terracotta/bin/start-tc-server.sh

• run the below program (source code below)

java -cp .:ehcache-core-2.1.0-beta.jar:slf4j-api-1.5.8.jar:slf4j-jdk14-1.5.8.jar:ehcache-terracotta-2.1.0-beta.jar:ehcache-nonstopcache-1.0.0-beta.jar MyFirstNonStopEhcacheSample

NOTE: Kill the Terracotta server when the printed output instructs you too.

Let's review the output:

Regular cache. No Decorator
The size of the cache is: 0
After put the size is: 1
Here are the keys:
Key:0
Done with cache.

Sleeping, Stop your server
Disconnected NonStop with noop cache.
The size of the cache is: 0
After put the size is: 0
Here are the keys:
Done with cache.

Disconnected NonStop with local reads cache.
The size of the cache is: 1
After put the size is: 1
Here are the keys:
Key:0
Done with cache.

Disconnected NonStop with exception cache.
Exception in thread "main" net.sf.ehcache.constructs.nonstop.NonStopCacheException: getKeys timed out
at net.sf.ehcache.constructs.nonstop.behavior.ExceptionOnTimeoutBehavior.getKeys(ExceptionOnTimeoutBehavior.java:114)
at net.sf.ehcache.constructs.nonstop.behavior.ClusterOfflineBehavior.getKeys(ClusterOfflineBehavior.java:120)
at net.sf.ehcache.constructs.nonstop.NonStopCache.getKeys(NonStopCache.java:264)
at MyFirstNonStopEhcacheSample.addToCacheAndPrint(MyFirstNonStopEhcacheSample.java:45)
at MyFirstNonStopEhcacheSample.(MyFirstNonStopEhcacheSample.java:40)
at MyFirstNonStopEhcacheSample.main(MyFirstNonStopEhcacheSample.java:60)

What Just Happened?

The cache is first loaded into an ordinary undecorated cache. This is performed before the server kill and proceeds without incident. The next round of operations on the cache were performed with the server down.

Since that cache is configured as noop all operations are ignored and the size of the cache appears as zero. This is great for when you just want to not bother with the caching if it isn't available.

Next round is local reads. This allows you to use the values that are available locally while the cache is unavailable. This is especially nice for read only or mostly read only caches that fit in memory and are always available.

After that we go to the exception version. If you have a cache of important coherent data but you don't want threads blocked this setting is for you. It will blow cache operations out of the thread so your container can just keep going by either showing an error page or getting the data from elsewhere.

Some interesting points here:

• These decorators are all being used on the same cache. This way you can make the behavior specific to the user of the cache. It gives tremendous flexibility.
• You'll notice this little sample flies through despite the timeout being set to 13 seconds. This is because it's in fail fast mode. In this configurable mode if the cache knows it can't communicate it will return the failure case immediately. If that's not what you want you can instead set it up to not fail fast and wait the full timeout no matter what.
• I did this work in config but the same setup can be done in code

The Code

MyFirstNonStopEhcacheSample.java



And the Config file ehcachenonstop.xml:

A Couple Minutes With Terracotta Toolkit Nightly

A couple days ago I wrote a short blog about our goal of creating a Terracotta Toolkit for others to easily build simple to use scaled out frameworks, tools and in some cases apps. This same exact toolkit is used to build Ehcache, Hibernate, Http Sessions and Quartz with Scale and HA just by adding 2 lines of config. I was pretty shocked and excited about what a tremendous reaction this blog and the toolkit received. Usually when I write a blog most of it's traffic comes from awesome sites like DZone but this blog was different. I actually got considerably more direct traffic from things like e-mails and twitter than anything conventional. That kind of viral excitement shows a much deeper level of curiosity and is tremendously motivating for the team here. Anyway, I digress.

Me being the curious type I decided to do something a little dangerous yesterday. I asked Geert, one of the leads on the Terracotta toolkit project, if we were in a state where I could play around with it a bit and get a sense of how hard it is to get started. We discussed the usual caveats, "We haven't agreed on some of the naming and factoring stuff yet?" which I clearly understood. Knowing that fact and that I'd be working off a nightly(this link downloads it) I set out to follow his simple instructions and see just how easy it was. Here is what I did.

Geert gave me a simple cyclic barrier sample to work off of. This is a sample I've whipped up my self a few times over the years. Many of our earliest users leveraged Terracotta strictly as a distributed lock manager and that's what this simple sample does as well. You start the app with a barrier name and a node count and it just hangs until the node count is reached. Seems like as good of a sample as any to highlight how to get started with the toolkit.

• Downloaded the nightly and unpacked

tar -xzvf terracotta-trunk-nightly-rev15534.tar.gz

• Grabbed a quick sample app

import org.terracotta.api.ClusteringToolkit;

import org.terracotta.api.TerracottaClient;

import org.terracotta.coordination.Barrier;

public class PlayingWithExpressBarrier {

public static void main(String[] args) {

final String barrierName = args[0];

final int numberOfParties = Integer.parseInt(args[1]);

//Start the Terracotta client

ClusteringToolkit clustering = new TerracottaClient(

"localhost:9510").getToolkit();

//Get an instance of a barrier by name

Barrier barrier = clustering.getBarrier(barrierName,

numberOfParties);

try {

System.out.println("Waiting ...");

int index = barrier.await();

System.out.println("... finished " + index);

} catch (Exception e) {

e.printStackTrace();

}

}

}

• I worked in eclipse so at this point all I had to do is add the toolkit jar to the classpath to get it to compile

terracotta-trunk-nightly-rev15534/common/terracotta-toolkit-1.0-runtime-1.0.0-SNAPSHOT.jar

• Now kickoff the Terracotta server

terracotta-trunk-nightly-rev15534/bin/start-tc-server.sh

• And run the sample 3 time

java -cp .:terracotta-toolkit-1.0-runtime-1.0.0-SNAPSHOT.jar barrierName 3

The first two nodes should hang waiting for the 3rd node. Once the 3rd node is started all three should run to completion. This is just a little taste of what is coming.

The toolkit will have highly concurrent maps, locks, counters, queues, evictors and more so stay tuned. All of the toolkit classes will have tests in our TCK. The toolkit will run on any 1.5/1.6 JVM and requires no boot-jars, agents or container specific code. Given versions of the TCK will allow people to just drop in that toolkit jar at runtime for any app developed using that version of the API provided by the version of the TCK. I'll talk a bit more about how versioning the toolkit API will work in a future blog but it will work like any other spec. You can use any implementation that implements the spec. Enjoy, much more to come.