The document discusses continuous deployment and practices at Disqus for releasing code frequently. It emphasizes shipping code as soon as it is ready after it has been reviewed, passes automated tests, and some level of QA. It also discusses keeping development simple, integrating code changes through automated testing, using metrics for reporting, and doing progressive rollouts of new features to subsets of users.
Caching has been an essential strategy for greater performance in computing since the beginning of the field. Nearly all applications have data access patterns that make caching an attractive technique, but caching also has hidden trade-offs related to concurrency, memory usage, and latency.
As we build larger distributed systems, caching continues to be a critical technique for building scalable, high-throughput, low-latency applications. Large systems tend to magnify the caching trade-offs and have created new approaches to distributed caching. There are unique challenges in testing systems like these as well.
Ehcache and Terracotta provide a unique way to start with simple caching for a small system and grow that system over time with a consistent API while maintaining low-latency, high-throughput caching.
Terracotta (an open source technology) provides a clustered, durable virtual heap. Terracotta's goal is to make Java apps scale with as little effort as possible. If you are using Hibernate, there are several patterns that can be used to leverage Terracotta and reduce the load on your database so your app can scale.
First, you can use the Terracotta clustered Hibernate cache. This is a high-performance clustered cache and allows you to avoid hitting the database on all nodes in your cluster. It's suitable, not just for read-only, but also for read-mostly and read-write use cases, which traditionally have not been viewed as good use cases for Hibernate second level cache.
Another high performance option is to disconnect your POJOs from their Hibernate session and manage them entirely in Terracotta shared heap instead. This is a great option for conversational data where the conversational data is not of long-term interest but must be persistent and highly-available. This pattern can significantly reduce your database load but does require more changes to your application than using second-level cache.
This talk will examine the basics of what Terracotta provides and examples of how you can scale your Hibernate application with both clustered second level cache and detached clustered state. Also, we'll take a look at Terracotta's Hibernate-specific monitoring tools.
Caching has been an essential strategy for greater performance in computing since the beginning of the field. Nearly all applications have data access patterns that make caching an attractive technique, but caching also has hidden trade-offs related to concurrency, memory usage, and latency.
As we build larger distributed systems, caching continues to be a critical technique for building scalable, high-throughput, low-latency applications. Large systems tend to magnify the caching trade-offs and have created new approaches to distributed caching. There are unique challenges in testing systems like these as well.
Ehcache and Terracotta provide a unique way to start with simple caching for a small system and grow that system over time with a consistent API while maintaining low-latency, high-throughput caching.
Terracotta (an open source technology) provides a clustered, durable virtual heap. Terracotta's goal is to make Java apps scale with as little effort as possible. If you are using Hibernate, there are several patterns that can be used to leverage Terracotta and reduce the load on your database so your app can scale.
First, you can use the Terracotta clustered Hibernate cache. This is a high-performance clustered cache and allows you to avoid hitting the database on all nodes in your cluster. It's suitable, not just for read-only, but also for read-mostly and read-write use cases, which traditionally have not been viewed as good use cases for Hibernate second level cache.
Another high performance option is to disconnect your POJOs from their Hibernate session and manage them entirely in Terracotta shared heap instead. This is a great option for conversational data where the conversational data is not of long-term interest but must be persistent and highly-available. This pattern can significantly reduce your database load but does require more changes to your application than using second-level cache.
This talk will examine the basics of what Terracotta provides and examples of how you can scale your Hibernate application with both clustered second level cache and detached clustered state. Also, we'll take a look at Terracotta's Hibernate-specific monitoring tools.
Using Groovy? Got lots of stuff to do at the same time? Then you need to take a look at GPars (“Jeepers!”), a library providing support for concurrency and parallelism in Groovy. GPars brings powerful concurrency models from other languages to Groovy and makes them easy to use with custom DSLs:
- Actors (Erlang and Scala)
- Dataflow (Io)
- Fork/join (Java)
- Agent (Clojure agents)
In addition to this support, GPars integrates with standard Groovy frameworks like Grails and Griffon.
Background, comparisons to other languages, and motivating examples will be given for the major GPars features.
.NET developers have a lot of options when it comes to databases these days. Apache Cassandra is a scalable, fault-tolerant database that has already found its way into more than 25% of the Fortune 100 and continues to grow in popularity. But what makes it different from the myriad of other options available? In this talk, we’ll take a deep dive into Cassandra and learn about:
- Cassandra’s internals and how it works
- CQL (the SQL-like query language for Cassandra)
- Data Modeling like a pro
- Tools available for developers
- Writing .NET code that talks to Cassandra
If there’s time and interest, we’ll finish up with how some companies are already using Cassandra to power services you probably interact with in your daily life. You’ll leave with all the tools you need to start build highly available .NET applications and services on top of Cassandra.
Introduction to memcached, a caching service designed for optimizing performance and scaling in the web stack, seen from perspective of MySQL/PHP users. Given for 2nd year students of professional bachelor in ICT at Kaho St. Lieven, Gent.
Distributed system coordination by zookeeper and introduction to kazoo python...Jimmy Lai
Zookeeper is a coordination tool to let people build distributed systems easier. In this slides, the author summarizes the usage of zookeeper and provides Kazoo Python library as example.
Akka is using the Actors together with STM to create a unified runtime and programming model for scaling both UP (multi-core) and OUT (grid/cloud). Akka provides location transparency by abstracting away both these tangents of scalability by turning them into an ops task. This gives the Akka runtime freedom to do adaptive automatic load-balancing, cluster rebalancing, replication & partitioning
Building highly scalable website requires to understand the core building blocks of your applicative environment. In this talk we dive into Jahia core components to understand how they interact and how by (1) respecting a few architectural practices and (2) fine tuning Jahia components and the JVM, you will be able to build a highly scalable service
This is a presentation given on October 24 by Michael Uzquiano of Cloud CMS (http://www.cloudcms.com) at the MongoDB Boston conference.
In this presentation, we cover Hazelcast - an in-memory data grid that provides distributed object persistence across multiple nodes in a cluster. When backed by MongoDB, objects are naturally written to Mongo by Hazelcast. The integration points are clean and easy to implement.
We cover a few simple cases along with code samples to provide the MongoDB community with some ideas of how to integrate Hazelcast into their own MongoDB Java applications.
[Download the slide to get the entire talk in the form of presentation note embedded in the ppt] Apache ZooKeeper is the chosen leader in distributed coordination. In this talk, I have explored the atomic elements of Apache ZooKeeper, how it fits everything together and some of its popular use cases. For ZooKeeper simplicity is the key and as a consumer of the API, our imagination enables us to push the limits of the ZooKeeper world.
Es el conjunto de medidas preventivas y reactivas de las organizaciones y de los sistemas tecnológicos que permitan resguardar y proteger la información buscando mantener la confidencialidad, la disponibilidad e integridad de la misma.
Using Groovy? Got lots of stuff to do at the same time? Then you need to take a look at GPars (“Jeepers!”), a library providing support for concurrency and parallelism in Groovy. GPars brings powerful concurrency models from other languages to Groovy and makes them easy to use with custom DSLs:
- Actors (Erlang and Scala)
- Dataflow (Io)
- Fork/join (Java)
- Agent (Clojure agents)
In addition to this support, GPars integrates with standard Groovy frameworks like Grails and Griffon.
Background, comparisons to other languages, and motivating examples will be given for the major GPars features.
.NET developers have a lot of options when it comes to databases these days. Apache Cassandra is a scalable, fault-tolerant database that has already found its way into more than 25% of the Fortune 100 and continues to grow in popularity. But what makes it different from the myriad of other options available? In this talk, we’ll take a deep dive into Cassandra and learn about:
- Cassandra’s internals and how it works
- CQL (the SQL-like query language for Cassandra)
- Data Modeling like a pro
- Tools available for developers
- Writing .NET code that talks to Cassandra
If there’s time and interest, we’ll finish up with how some companies are already using Cassandra to power services you probably interact with in your daily life. You’ll leave with all the tools you need to start build highly available .NET applications and services on top of Cassandra.
Introduction to memcached, a caching service designed for optimizing performance and scaling in the web stack, seen from perspective of MySQL/PHP users. Given for 2nd year students of professional bachelor in ICT at Kaho St. Lieven, Gent.
Distributed system coordination by zookeeper and introduction to kazoo python...Jimmy Lai
Zookeeper is a coordination tool to let people build distributed systems easier. In this slides, the author summarizes the usage of zookeeper and provides Kazoo Python library as example.
Akka is using the Actors together with STM to create a unified runtime and programming model for scaling both UP (multi-core) and OUT (grid/cloud). Akka provides location transparency by abstracting away both these tangents of scalability by turning them into an ops task. This gives the Akka runtime freedom to do adaptive automatic load-balancing, cluster rebalancing, replication & partitioning
Building highly scalable website requires to understand the core building blocks of your applicative environment. In this talk we dive into Jahia core components to understand how they interact and how by (1) respecting a few architectural practices and (2) fine tuning Jahia components and the JVM, you will be able to build a highly scalable service
This is a presentation given on October 24 by Michael Uzquiano of Cloud CMS (http://www.cloudcms.com) at the MongoDB Boston conference.
In this presentation, we cover Hazelcast - an in-memory data grid that provides distributed object persistence across multiple nodes in a cluster. When backed by MongoDB, objects are naturally written to Mongo by Hazelcast. The integration points are clean and easy to implement.
We cover a few simple cases along with code samples to provide the MongoDB community with some ideas of how to integrate Hazelcast into their own MongoDB Java applications.
[Download the slide to get the entire talk in the form of presentation note embedded in the ppt] Apache ZooKeeper is the chosen leader in distributed coordination. In this talk, I have explored the atomic elements of Apache ZooKeeper, how it fits everything together and some of its popular use cases. For ZooKeeper simplicity is the key and as a consumer of the API, our imagination enables us to push the limits of the ZooKeeper world.
Es el conjunto de medidas preventivas y reactivas de las organizaciones y de los sistemas tecnológicos que permitan resguardar y proteger la información buscando mantener la confidencialidad, la disponibilidad e integridad de la misma.
Through the Lens of an iPhone: Charleston, SCPaul Brown
The following photos were entirely taken and processed by me with an iPhone. See more: http://paulgordonbrown.com/category/iphoneography/
iPhoneography is the art of creating photos with an Apple iPhone. This is a style of mobile photography that differs from all other forms of digital photography in that images are both shot and processed on the iOS device.
Coming up with a gift doesn’t have to be hard or expensive, especially if it’s for your mom. Here are some gift ideas that will surely be appreciated by her.
Shared by: http://www.familychiropractic.com.sg/
We have a team of 50 application developers who have unmatched expertise, comprehensive knowledge of variety of programming languages and tools and wealth of experience that enables them to develop seamless mobile and tablet applications on all operating systems with perfection and guaranteed satisfaction.
Local Government Balances Security, Flexibility and Productivity with BlackBe...BlackBerry
Upgrading to BES10 was a straightforward process for the Council. Using BlackBerry Balance technology enables councilors to attend to their personal lives while putting in long hours at the office. For those Council members using iPads, the Secure Work Space container, which has Federal Information Processing Standard (FIPS) certification, enables the Council’s IT team to configure, secure and wipe sensitive data should devices be lost or stolen. Data Leakage Prevention (DLP) also ensures work information cannot be shared outside the Secure Work Space.
Inside the Atlassian OnDemand Private CloudAtlassian
In order to launch Atlassian OnDemand, we needed to rethink the way we did infrastructure. Join Atlassian SaaS Platform Architect, George Barnett as he discusses how we delivered a scalable platform that runs tens of thousands of JVMs, all while reducing the cost by ten-fold. This talk will cover design decisions, technology choices and the lessons learned during the build out.
Cloud meets Fog & Puppet A Story of Version Controlled InfrastructureHabeeb Rahman
Talk at rootconf - A conference at Bangalore for sysadmins.
Gist of the talk:-
Puppet is a great configuration management tool and git is great at version controlling.AWS lets you create instances in few clicks. But when it comes to large deployments only automation(where tools come together) can make you productive and happy. I will take you through following.. Fog - The Ruby cloud services library and how it helps you to create vendor neutral cloud deployments, Puppet- Multi region puppet masters, Ruby- How Ruby pulls the strings together in EC2/ELB/RDS creation, Security group creation, IP authorization, Route53 DNS etc, Git- how we use git to version control deployment configs/configurations.
Continuous Integration Testing in DjangoKevin Harvey
Continuous Integration is like having a robot that cleans up after you: it installs your dependencies, builds your project, run your tests, and reports back to you. This presentation outlines two methods for CI: Travis and Jenkins.
This session will re-evaluate Cassandra’s relationship with runtime and build systems, pointing out ways that the existing systems fall down, and identifying avenues for improvement. Over the past few years, a number of platforms have emerged for running user code. Container runtimes like Docker, container orchestrators such as Kubernetes, and metrics collections agents like Prometheus and Spectator have all gained popularity and mind-share. Cassandra functionality such as metrics, bootstrapping, and monitoring integrates with the newer paradigms, but in an ad-hoc and improvised fashion. By taking a purposeful approach to integrating with these new methods of deployment, the Cassandra community can more fully benefit from their advertised strengths. The Cassandra build system based on Ant+Ivy dates to the early 2000’s, and reflects legacy complexity that could be avoided with modern build systems. Cassandra’s system package builds are not much better and often fail to integrate with industry standards such as systemd. Iterating on the existing systems is difficult, but this technical debt slows innovation in our build systems. In this talk, we propose solutions to make building, deploying and monitoring Cassandra easy and low overhead, while taking advantage of cloud advancements wherever possible.
DataStax: Testing Cassandra Guarantees Under Diverse Failure Modes With JepsenDataStax Academy
The increasing prevalence of large-scale distributed systems necessitates careful testing and understanding of the invariants and guarantees at play. In particular, Kyle Kingsbury's "Call Me Maybe" series has increased awareness of this need for developers and administrators alike. In this talk, Joel will discuss these issues in the context of his efforts as an intern at DataStax to develop extensive testing coverage via Kingsbury's Jepsen library.
This was a talk given internally at BloomReach as well as a guest lecture to a grad level Data Structures and Algorithms class at the University of Texas at Arlington.
A Deep dive on the history of containers, and how they work under the cover utilizing Linux Kernel features such as Process Namespaces and Control Groups.
I also go over a bit of the history of Container technology, going from Chroot and Jails and Zones, to LXC and Docker
Bulletproof Networks provides managed hosting services to some of the largest companies in Australia. Bulletproof implements strong isolation of customer environments, and this can present unique challenges when re-using Puppet code across our customer base. Additionally, the environments range in size from small to very large, and our tools + processes need to be able to handle both uses cases equally well.
In this talk Lindsay + Mick will cover how Bulletproof's approach to these problems has evolved over the last 4 years, and some of the tools Bulletproof has developed and built upon to provide an awesome service to our customers.
How does GROU.PS scale to serving 1PB of assets each month. memcache, nginx, gearman, tornado, libevent, kqueue, epoll, mysql, sharding, replication, memcached, tokyo cabinet
The DrupalCampLA 2011 presentation on backend performance. The slides go over optimizations that can be done through the LAMP (or now VAN LAMMP stack for even more performance) to get everything up and running.
(ARC402) Deployment Automation: From Developers' Keyboards to End Users' Scre...Amazon Web Services
Some of the best businesses today are deploying their code dozens of times a day. How? By making heavy use of automation, smart tools, and repeatable patterns to get process out of the way and keep the workflow moving. Come to this session to learn how you can do this too, using services such as AWS OpsWorks, AWS CloudFormation, Amazon Simple Workflow Service, and other tools. We'll discuss a number of different deployment patterns, and what aspects you need to focus on when working toward deployment automation yourself.
Disqus talks about how they scale their Python web application to over 500 million visitors a month.
Video is available here: http://pycon.blip.tv/file/4880330/
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
3. Continuous Deployment
# Update the site every 5 minutes
*/5 * * * * cd /www/example.com
&& git pull
&& service apache restart
Saturday, March 10, 12
9. The Good
- Develop features
incrementally
- Release frequently
- Smaller doses of QA
The Bad
- Culture Shock
- Stability depends on
test coverage
- Initial time investment
Saturday, March 10, 12
11. Development
- Automate testing of complicated
processes and architecture
- Simple can be better than complete
- Especially for local development
- python setup.py {develop,test}
- Puppet, Chef, Buildout, Fabric, etc.
Saturday, March 10, 12
12. Production Staging
PostgreSQL PostgreSQL
Memcache Memcache
Redis Redis
Solr Solr
Apache Apache
Nginx Nginx
RabbitMQ RabbitMQ
(and 100 other painful-to-configure services)
CI Server Macbook
PostgreSQL PostgreSQL
Memcache Apache
Redis Memcache
Solr Redis
Apache Solr
Nginx Nginx
RabbitMQ RabbitMQ
Saturday, March 10, 12
13. Bootstrapping Local
- Simplify local setup
- git clone dcramer@disqus:disqus.git
- make
- python manage.py runserver
- Need to test dependancies?
- virtualbox + vagrant up
Saturday, March 10, 12
14. Progressive Rollout
We actively use early versions of features
before public release
Saturday, March 10, 12
15. Deploy features to portions of a user base at a
time to ensure smooth, measurable releases
https://github.com/disqus/gargoyle
Saturday, March 10, 12
16. • Iterate quickly by hiding features
• Early adopters are free QA
from gargoyle import gargoyle
def my_view(request):
if gargoyle.is_active('awesome', request):
return 'new happy version :D'
else:
return 'old sad version :('
Saturday, March 10, 12
17. SWITCHES = {
# enable my_feature for 50%
'my_feature': range(0, 50),
}
def is_active(switch):
try:
pct_range = SWITCHES[switch]
except KeyError:
return False
ip_hash = sum([int(x) for x
in ip_address.split('.')])
return (ip_hash % 100 in pct_range)
Saturday, March 10, 12
18. Review ALL the Commits
phabricator.org
Saturday, March 10, 12
24. Integration Requirements
- Developers must know when they’ve
broken something
- IRC, Email, IM
- Support proper reporting
- XUnit, Pylint, Coverage.py
- Painless setup
- apt-get install jenkins *
https://wiki.jenkins-ci.org/display/JENKINS/Installing+Jenkins+on+Ubuntu
Saturday, March 10, 12
25. Shortcomings
- False positives
- Reporting isn't accurate
- Services fail
- Bad Tests
- Test coverage
- Regressions on untested code
- Feedback delay
- Integration tests vs Unit tests
Saturday, March 10, 12
26. Fixing False Positives
- Re-run tests several times on a failure
- Report continually failing tests
- Replace external service tests with a
functional test suite
Saturday, March 10, 12
27. Maintaining Coverage
- Raise awareness with reporting
- Fail/alert when coverage drops on a build
- Commit tests with code
- Coverage against commit diff for
untested regressions
- Utilize code review
Saturday, March 10, 12
28. Speeding Up Tests
- Write true unit tests
- vs slower integration tests
- Mock external services
- Distributed and parallel testing
- Matrix builds
Saturday, March 10, 12
30. <You> Why is mongodb-1 down?
<Ops> It’s down? Must have crashed again
Saturday, March 10, 12
31. Meaningful Metrics
- Rate of traffic (not just hits!)
- Business vs system
- Response time (database, web)
- Exceptions
- Social media
- Twitter
Saturday, March 10, 12
32. Graphite
(Trafficgraphite.wikidot.com
across a cluster of servers)
Saturday, March 10, 12
33. Sentry
sentry.readthedocs.org
Saturday, March 10, 12
35. Getting Started
- Package your app
- Value code review
- Ease deployment; fast rollbacks
- Setup automated tests
- Gather some easy metrics
Saturday, March 10, 12
36. Going Further
- Build an immune system
- Automate deploys, rollbacks (maybe)
- Adjust to your culture
- There is no “right way”
- SOA == great success
Saturday, March 10, 12
