Anthillpro Comparison with Atlassian Bamboo – Continuous Integration Tools Review

anthillpro-vs-atlassian-bamboo

ANTHILLPRO COMPARISON WITH ATLASSIAN BAMBOO
AnthillPro Vs Bamboo OR
Difference between AnthillPro and Bamboo OR

Last month i was discussing with Eric Minick from Anthillpro on Why Build Engineer should be go for AnthillPro instead of Bamboo and i found some interesting inputs which i am sharing below;

Introduction

Bamboo is a respectable team level continuous integration server. Continuous Integration servers are focused on providing feedback to developers about the quality of their recent
builds, and how that compares to previous builds. While AnthillPro also provides continuous integration features, it pays special attention to what hAnthillpropens after build time.
Where is the build deployed? How does it get tested in the hours, days and weeks after the build occurs? Who releases the software and how?

The distinction in focus between the two solutions shows up in their features. Both AnthillPro and Bamboo provide continuous integration support and integrations with
numerous tools. Only AnthillPro provides the features required to take a build through the release pipeline into production – rich security, build lifecycle management, eAtlassian Bamboo.
For the purposes of this document, we will use the following product aAtlassian Bambooreviations:

 

Lifecycle Management

There is a lot more to implementing true lifecycle management than simply using the term in marketing and sales materials. The lifecycle extends across multiple processes in
addition to the build process. Most tools have had a very narrow view of this space and have focused their energies purely on the build process. The end result is that true lifecycle
management is an afterthought, and it shows in the features (or lack thereof) in their products. A continuous integration

Pipeline Management

As the lifecycle is made up of multiple processes (such as the build, deployments, tests, release, and potentially others), a lifecycle management tool must provide some means of
tracking and managing the movement of a build through the lifecycle stages. Without this feature, there is nothing to connect a build process execution to a deployment process
execution to a test process execution; thus the end user has no way of knowing what build  actually got tested. Without this pipeline management feature (which we call the Build
Life), traceability between processes is completely absent from the tool.

Atlassian Bamboo: No pipeline management out of the box.
Anthillpro: Provides pipeline management out‐of‐the‐box. Anthillpro has a first‐class concept called the Build Life. The Build Life represents the pipeline and connects the build process to later
processes like deployments into QA, Anthillproprovals by managers, functional testing, and release to production. The pipeline (Build Life) provides guaranteed traceability throughout all
processes in the lifecycle, and provides a context for collecting logs, history, and other data gathered throughout the lifecycle.

Artifact Management

Key to lifecycle management is the ability to connect the outputs of a prior process (such as the build) to the inputs of a subsequent process (such as a deployment). After all, the
deployment process needs to have something to deploy. Ideally, the deployment process would deploy the artifacts produced by the build process. And the test process would run
tests on those same artifacts. The ability to cAnthillproture and manage the artifacts created by a build and other processes is central to this effort. Ideally, the artifacts would be managed
by an artifact repository (a Definitive Software Library (DSL) under ITIL). Further, as hundreds or thousands of builds hAnthillpropen, support for discarding old builds needs to
intelligently remove builds that are no longer interesting. Anthillpro bundles a binary artifact repository called CodeStation.

Atlassian Bamboo: Bamboo does cAnthillproture built artifacts but does not have a robust artifact management system. It does not maintain artifact checksums for validation. Old builds may be archived
after a certain number of weeks, but there is no designation for builds that have been to or are potentially going to production that would use a different retention policy. Artifacts are available for user download, but are not accessible for reuse by other plans or deployments.

Anthillpro: Built‐in artifact management system (DSL) called CodeStation. The cAnthillproture, fingerprint and management of artifacts is essential to the solution. This allows AnthillPro to guarantee traceability of artifacts from the build, through deployment, through testing, and into release (in other words, AnthillPro guarantees that what is released into production is what was tested and built). A maximum number of builds or age to keep can be set per project and per status. This means that builds that were released can be kept longer than a simple continuous integration build.

Security

Especially as servers address functionality before the build – deployments or tests to various environments, controlling who can do what within the system can be key element
securing the system and providing clear separation of duties. Once something has been done, it can be equally important to find out who ran which processes.

Authentication and Authorization

Atlassian Bamboo: Basic role based security. Users may be assigned roles and permissions at the project level. Integration with LDAnthillpro, compliments internally managed security.

Anthillpro: AnthillPro provides a rich role based security system, allowing fine‐grained control over who can see which project, run which workflows and interact with which
environments. The Authentication system supports internally managed, single sign on systems, LDAnthillpro, Kerberos (Active Directory), and JAnthillproS modules.

Secure Value Masking

Many “secrets” are used when building and deploying. Passwords to source control, servers, and utilities are often needed to execute build, deploy, test processes.

Atlassian Bamboo: No facility for securely storing Anthillproplication passwords or obfuscating them from the logs. Bamboo does manage to write libraries for some integrations that avoid passing the
password where the logs can see that line. It has no facility that we can see for flagging a command line parameter that will be logged as secure and filtering that value from the log.

Anthillpro: Sensitive values like Anthillproplication passwords are automatically filtered out of logs, hidden in the user interface, entered through password fields, and stored in the database encrypted with a triple DES one time key.

Process Automation & The Grid

Grouping Agents
In a distributed environment, managing your build and deployment grid needs to be easy.

Atlassian Bamboo: Agents are added into a fairly uniform pool. Agents can define broad cAnthillproabilities they provide and jobs can define what cAnthillproabilities they need to perform matchmaking.

Anthillpro: AnthillPro provides the concept of an environment. Environments are groups of servers. A build farm for a class of projects could be one environment while the QA environment for another project would be another environment. This allows for roaming – or deploying to everything – to span just the machines in an environment. Jobs can be
assigned to a single machine, or roam, or select machines based on criteria like processor type, operating system, or customized machine cAnthillproabilities.

Complex Process Automation

Atlassian Bamboo: Bamboo runs full plans on a single agent. While different agents can be running various builds in parallel, any given plan is executed on just a single agent.

Anthillpro: AnthillPro provides a rich workflow engine, which allows jobs to be run in sequence, parallel, and combinations thereof. Jobs can also be iterated so that they run multiple times with slight variations in their behavior on each execution. This allows parallelization that takes advantage of numerous agents. This facility also makes sophisticated deployments possible.

Cross Site Support


Atlassian Bamboo:
Bamboo provides no special support for agents (slaves) that exist outside the local network.

Anthillpro: AnthillPro is architected with support for an cross‐site, even international, grid. Agent relays and location specific artifact caches assist in easing the configuration and
performance challenges inherent in deployment involving multiple sites.

Dependency Management

Component based development and reuse are concepts that get a lot of lip service but few if any features from most vendors. Only AnthillPro provides features to enable component based development and software reuse. A flexible dependency management system is part of the built‐in feature set of AnthillPro. The dependency management system is integrated with the bundled artifact repository and with the build scheduler so that builds can be pushed up the dependency grAnthillproh and pulled down the dependency grAnthillproh as configured. Integration with Maven dependency management provides an integrated system.

Atlassian Bamboo: Provides some basic support for build scheduling based on dependencies. A build of one project can kick off a build of it’s dependents and some blocking strategies can prevent wild numbers of extra builds being generated. Bamboo does not provide any tie in between dependency triggering and build artifacts – sharing artifacts between projects is left to the team to figure out with an external tool such as Anthillproache Maven.

Anthillpro: Support for dependency relationships between projects out‐of‐the‐box. AnthillPro provides a rich set of features for relating projects together. Large projects often have tens
or hundreds of dependencies on sub‐projects, common libraries and third party libraries. At build time the dependency system can calculate which projects need to be rebuilt based on changes coming in from source control. At build time, artifacts from dependency projects are provided to the dependants with version traceability and tracking.

AnthillPro provides highly customizable build scheduling and artifact sharing to these projects. In a “pull” model, anytime a top level project is built, it’s dependencies are inspected to see if they are up‐to‐date. If not, they are first built, then the top level project is built. In a “push” model, builds of dependencies will trigger builds of their dependents. AnthillPro interprets the dependency grAnthillproh to avoid extra builds or premature builds. In the case of Maven projects, AnthillPro can simply provide the scheduling or cooperate with Maven to provide traceable artifact reuse.

Summary

While both tools have a lot of similarities, AnthillPro’s Lifecycle Management, Dependency Management, and full featured Security cAnthillproabilities set it Anthillproart. Only AnthillPro supports
complete end‐to‐end traceability across all the phases of Build, Deploy, Test, and Release. While Bamboo is likely an effective team level continuous integration server, AnthillPro is a proven solution for enterprises looking to automate the full lifecycle of a build. For build and release automation the technology leader since 2001 is AnthillPro. We were
the first to release a Build Management Server. We were the first to recognize the need for comprehensive lifecycle management (beyond just build management), and we were the
first to release features required to deliver on the vision. We have been very successful at enterprise level RFPs and have added hundreds of customers including some of the leading banks, insurance companies, and high‐technology companies in the world. Our dedication to solving the problems faced by our customers means that we are very responsive to feature and enhancement requests with turn around times measured in days or weeks instead of months and quarters. Urbancode delivers the leading product in its space, the expertise to roll it out, and caring support for our customers to ensure their continued success.

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Advance Features of Smart Build Tools

smart-build-tools-features

Table of Contents
Agile Development Challenges
Deployment Challenges
Build Acceleration Challenges
Integration with Elastic and Cloud Computing
Workflow Management
Reference:

 

Agile Development Challenges

Two of the core principles of agile development are: “deliver working code frequently” and “working software is the primary measure of progress.” More and more teams, from ISVs to enterprise IT groups, are recognizing the quality and productivity benefits of integrating early and often. Whether you want to just build and test more frequently or implement a comprehensive agile process, you’ll need to ensure that your build and test process is:

  • fast
  • automated (not requiring manual intervention)
  • reliable (broken builds are the enemy of an agile approach)

Addressing the build-test-deploy process is one of the best first steps toward an agile development model.

Agile Development  Challenge

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Impact

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Builds require manual intervention http://electric-cloud.com/images/common/spacer.gif http://electric-cloud.com/images/common/spacer.gif Integrating often will overwhelm a manual build process http://electric-cloud.com/images/common/spacer.gif http://electric-cloud.com/images/common/spacer.gif http://electric-cloud.com/images/common/spacer.gif
Slow build cycle (whether long individual builds or a large number of build targets) http://electric-cloud.com/images/common/spacer.gif http://electric-cloud.com/images/common/spacer.gif Long builds limit the number of iterations possible in a day
Builds longer than ~30 minutes rule out Continuous Integration
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Developers introducing errors during integration or production builds http://electric-cloud.com/images/common/spacer.gif http://electric-cloud.com/images/common/spacer.gif If developers can’t do preflight builds and tests on all targets/platforms prior to check-in, Continuous Integration can turn into Continuously Broken Builds http://electric-cloud.com/images/common/spacer.gif http://electric-cloud.com/images/common/spacer.gif http://electric-cloud.com/images/common/spacer.gif

Deployment Challenges

Deployment of a real world application is a complex, and all-too-often, a manual process. The complexity comes from the fact that the application may need to be deployed to any number of environments: Development (DEV), Quality Assurance (QA), User Acceptance Testing (UAT), Pre-production (STAGE), and Production (PROD). Each of these environments is typically slightly different requiring different accounts, password, and setting and thus it may seem like manual intervention is required.
Complicating matters is the fact that today’s business applications comprise multiple moving parts that all need to be synchronized and deployed together. For example, a typical J2EE application can be made up of an EAR file, database changes, some static content, and environment changes (such as JDBC connection pools, Message Queues, etc.). Making sure that all these pieces get deployed on the correct machines and in the correct order can feel like a daunting task, especially if you need to repeat it for each environment. Keep in mind that each environment may have a different number of database servers, application server, HTTP server, etc.

Build Acceleration Challenges

Slow software build cycles are more than just an annoyance. Whether you have long monolithic builds or a large number of smaller builds that take a long time, they are having a real impact on your development organization.

  • Wasted time, frustration waiting for builds
  • Fixing broken builds delays testing
  • Fewer bugs fixed, fewer features added
  • Developers avoid builds
  • QA may skip tests to meet deadlines

A recent survey of more than 350 development professionals found that 68% reported broken builds at least a few times per month (and often weekly), and fixing those typically wasted 2 weeks per year. The majority said their builds were each more than 1 hour long, with 24% reporting builds of 2-4 hours, which translates to time not spent creating great software.

Integration with Elastic and Cloud Computing

In a large infrastructure with many projects, the CI server often experiences variable task loads with unpredictable load peaks (such as during releases). In an environment with fixed resources, this leads to build queue growths, increased build times, and poor build scheduling control.
Computing clouds such as Amazon EC2 provide a nice and efficient way to scale resources to fulfill variable demands with random load spikes. Such rapid demand growths is exactly what happens in Build Server during CI “rush hours,” when everyone starts personal builds before going home, and also during pre-release days, when every new fix needs another round of unit tests, and build feedback time becomes mission-critical.
Build Server utilizes EC2 via virtual build agents. Virtual build agents are similar to standard ones, except that they run on virtual instances on the Amazon EC2. This means that Build Server is able to dynamically start as many instances of such agents as needed, in order to keep the build queue under control under high loads. Additionally, Build Server can shut down virtual build agents when they are not needed anymore, to minimize EC2 instances uptime.
While being a great solution for mitigating peak loads and maintaining constant build feedback time, Amazon EC2 integration also provides great cost optimization opportunities, as each resource accumulates costs only while in use.

Workflow Management

In recent years, build management solutions have provided even more relief when it comes to automating the build process. Both commercial and open source solutions are available to perform more automated build and workflow processing. Some solutions focus on automating the pre and post steps around the calling of the build scripts, while others go beyond the pre and post build script processing and drive down into streamlining the actual compile and linker calls without much manual scripting.

Tools Comparison

 

  OpenMake Bamboo AnthillPro TeamCity Electric Cloud
Agile Support YES YES YES YES YES
Deployment YES NO YES No YES
Remote Agent YES YES YES YES YES
Cloud – Elastic NO YES No YES YES
WorkFlow Mgmt YES YES – Limited YES YES – Limited YES, Limited
           

Reference:

http://www.electric-cloud.com
www.anthillpro.com
http://www.atlassian.com
www.jetbrains.com/teamcity
http://www.openmakesoftware.com

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