Twenty-five years ago, BUFF® invented the tubular headwear category with our Original BUFF® product. As the outdoor industry has progressed, we have evolved with it, incorporating the latest in technical fabric innovations while remaining true to our heritage of quality and craftsmanship. It’s the reason that athletes and outdoor enthusiasts trust our products, and why BUFF® is the original multifunctional headwear.Currently you are not logged in. You may browse our catalog, but to order you have to log in! 80% cotton / 20% polyester. Earphone port in kangaroo pocket and neck. Ribbed cuffs and hem. Lined hood with drawstring. XS - S - M - L - XL - 2XL - 3XL - 4XL Center Back Sleeve Length (C)Black and Burgundy Jacquard Print Tie Navy Textured Skinny Fit Suit Pants Black Acid Wash Printed T-Shirt Brown Washed Twill Casual Shirt Black Cord and Silver Look Claw Necklace* ashed Black Raw Edge Scoop Neck T-Shirt $ HEAVY BLEND™ VINTAGE CLASSIC ADULT FULL ZIP HOODED SWEATSHIRT

50% Cotton, 50% Polyester Air jet yarn = softer feel and reduced pilling Cross dyed shades (2 colours in one fabric) Contrast dark grey flatcord Brass zipper with contrast dark grey trim Twin needle stitching at waistband and cuffs 1 x 1 rib with spandex Quarter-turned to eliminate centre crease S - M - L - XL - 2XLPrague - Dodging The StodgeLast week, as the Treyvon Martin killing became the nation's most discussed flashpoint, Jon Stewart, often the country's voice of both mockery and reason, was on vacation. So upon his show's return from break on Monday night, the anchor and his correspondents spent much of the episode dissecting the televised furor and controversy added to the sad saga. After taking down CNN's Zapruder-like examination of the 911 call George Zimmerman, Martin's killer, made before the incident, Stewart and his team pivoted to the much-maligned comments made by Geraldo Rivera concerning the hooded sweatshirt that Martin was wearing during the confrontation.

Expressing amazement and incredulousness at Rivera's suggestion that Martin made himself a target by wearing the hoodie, Stewart brought on Wyatt Cenac and John Oliver to further examine the issue. Oliver was wearing a hoodie in solidarity -- calling all reporters not wearing them a racist -- while Cenac went a few steps further with his attire. On Tuesday, Rivera gave a mixed apology, offering regret if his words offended, but standing by his anti-hoodies for minority youth message. The Daily Show with Jon Stewart Get More: Daily Show Full Episodes,Political Humor & Satire Blog,The Daily Show on Facebook TV Premiere Dates 2017: The Complete Guide Broadcast TV Scorecard: Complete Guide to What's New, Renewed and Canceled TV Pilots 2016: The Complete Guide to What Lives, Dies and Still Has a PulseThe author of one of the larger side stories that has cropped up around the shooting death of 17-year-old Trayvon Martin, Geraldo Rivera tried to retire for good the controversy and ill will that he has engendered over the past two weeks.

Rivera said in a Fox News appearance on March 23 that he believed that the hoodie Martin was wearing the night he was followed, shot and killed by George Zimmerman made him a suspicious looking "gangsta wannabe," and thus made him an obvious target for a suspicious neighborhood watch captain. With Martin's parents, Sybrina and Tracy, appearing as guests on his show Sunday night, Rivera offered a mea culpa for his words.bcg hoodies "What I was trying to do was caution parents allowing kids to wear hoodies or similar clothing in certain circumstances, particularly if they were minority young men could be dangerous," Rivera said. superdry lumberjack hoodie blue"But I never intended to hurt anyone’s feelings and certainly Sybrina and Tracy, I never intended to hurt your feelings. bill belichick hoodie wins

I want to personally convey my deepest apologies to both of you. I am sorry, Tracy, if anything I said added to your misery.” The apology was reminiscent of an earlier statement he made, which apologized for causing offense but stood by his initial message. “I remain absolutely convinced of what I said about asking for trouble," he wrote in a letter to Politico a few days later. mutemath hoodie"There’s trouble enough for minority boys and young men not to provoke mad responses from paranoid jerk offs."pierce the veil sweatshirt amazon Martin's father accepted this apology, but not without defending his son.zyzz hoodie "Your apology is accepted. Let me just add one thing with the wearing of the hoodie," he said. "I don’t think America knows that, in fact, at the time of the incident when he initially made the call, it was raining.

So Trayvon had every right to have on his hood. He was protecting himself from the rain. So if being a suspicious, walking in the rain with your hoodie on is a crime, then i guess the world is doing something wrong.” Rivera's comments sparked a national debate about racial profiling, with various celebrities and even a congressman wearing a hoodie in support. Those high profile names joined a national movement of hoodie wearers marching in demand of Zimmerman's arrest, which has yet to occur.Cloud management tools form a constantly evolving landscape. Just a few weeks ago, . In June, Google was . In October of last year, . Heat was introduced in OpenStack Havana in 2013. Even older tools like Chef, Salt, and Scalr (that’s us!) aren’t that old, and they are constantly changing as new releases get introduced. And all in all, these tools make the same promise: “manage your cloud (better)”. But does that mean they are one and the same? There definitely is some overlap, but these tools have strongly diverging focuses, and this post hopes to shed some light as to what those are.

To make this more concrete, we’ll look at an example. Let’s assume you are a DevOps engineer, and have your favorite N-tier web application running in your cloud of choice, backed by your favorite database. How did you get there? If your application is to be backed by a database, it definitely needs to know how to connect to it (e.g. what is the IP of your database server?!). There are tons of options here (DNS is one), but if you are dealing with a reasonably complex (or redundant) deployment, the right choice is usually cluster discovery software. Cluster discovery systems provide a centralized repository of configuration information. In our example, application servers would connect to the cluster discovery system in order to retrieve the IP of the database servers they should use, but this is of course applicable to many other use cases. Now, of course, you still need to somehow hardcode connection details to access your cluster discovery system! For this reason, cluster discovery systems are expected to be highly-available and redundant, so that discovering the cluster discovery system doesn’t become a problem.

This is of course something you should bear in mind when choosing one! Popular cluster discovery systems include: ZooKeeper, Etcd, Consul, and SmartStack. It’s important to note that there are other pieces of software that can play that role too, like Chef Server. Now, it’s great that your application server knows about its upstream database, but how does it use that information? For starters, you need to actually deploy the application, which usually involves installing dependencies, pulling down some source code or binary blobs, and creating configuration files (those are usually based off of a template, and use information provided by cluster discovery). This deployment step is performed using configuration management software. There are plenty of options here, but popular choices today include Chef, Puppet, Salt, and Ansible. Of course, venerable bash scripts haven’t disappeared yet, and you can definitely still use them to perform your deployment and configuration tasks.

Newer alternatives like Docker serve a similar purpose, and only differ in the sense that instead of configuring your application instance, you’re pulling down a pre-configured OS image. Choosing and standardizing upon a configuration management system can be tricky, but it usually comes down to your operations team’s preferences (What language are they familiar with? How much do they value community, documentation? Those kinds of things.). Now, it’s great to be able to deploy your app and discover your upstream servers, but how did you actually get that application server? Getting you that application server is the role of a provisioner. Provisioners have two responsibilities. First, they are responsible for making API calls to your cloud platform (e.g. AWS, OpenStack) in order to get you the resources that you need. To that end, usually offer a very thin layer of abstraction over your cloud’s API (e.g. retrying API calls that fail). Second, they are responsible for bootstrapping the configuration management process.

In other words, provisioners are responsible for telling your application server it’s supposed to be an application server. This is usually achieved using (or Sysprep on Windows), or simply by SSHing into the newly-provisioned application server. Given the relative simplicity of provisioners, some have historically been bundled along with configuration management software. For example, Salt provides salt-cloud, and Chef provides knife-ec2, knife-openstack and others. Of course, this doesn’t mean that you can’t use Salt unless you use salt-cloud, or that you can’t use Chef unless you use knife! When choosing a provisioner, you must be mindful to account for portability (and especially so if you are considering adopting hybrid cloud): some provisioners are tied to a single cloud, and limit your ability to move from one cloud to another. Now, how did your provisioner know that it should be deploying an application server in the first place? Providing that information is the role of Cloud Orchestration Platforms, such as Scalr, Netflix Asgard, AWS CloudFormation or OpenStack Heat.

Arguably, Terraform is one too. Using a cloud orchestration platform, you define what your infrastructure should look like, and the platform takes care of the heavy lifting to make it happen, which usually means identifying the API calls the provisioner needs to make. Note that the provisioner is most of the time integrated in the cloud orchestration platform itself (Asgard is an exception and uses AWS ASGs). How you define what your infrastructure should look like depends on the cloud orchestration platform. Some platforms rely on JSON (CloudFormation) or YAML files (Heat), whereas other supply a web-based GUI and an API (Scalr, Asgard). Ultimately, cloud orchestration platforms differ in terms of complexity (what’s the learning curve?), capabilities (does this cloud orchestration platform limit what my DevOps engineers can do with my cloud?), and multi-cloud support (does this cloud orchestration platform support all the clouds I intend to use?). Some Cloud Orchestration Platforms do more than resolve differences between your infrastructure definition and actual infrastructure, and bundle management capabilities, such as: