Welcome!

Microservices Expo Authors: Elizabeth White, Liz McMillan, Pat Romanski, Carmen Gonzalez, Roger Strukhoff

Related Topics: @DevOpsSummit, Java IoT, Microservices Expo, Containers Expo Blog, SDN Journal

@DevOpsSummit: Article

Cloud's Provisioning Problem | @DevOpsSummit #IoT #DevOps #BigData

Cloud and software-defined architectures have brought to the fore the critical nature of load balancing

What DevOps Can Do About Cloud's Predictable Provisioning Problem

Go ahead. Name a cloud environment that doesn't include load balancing as the key enabler of elastic scalability. I've got coffee... so it's good, take your time...

Exactly. Load balancing - whether implemented as traditional high availability pairs or clustering - provides the means by which applications (and infrastructure, in many cases) scale horizontally. It is load balancing that is at the heart of elastic scalability models, and that provides a means to ensure availability and even improve performance of applications.

But simple load balancing alone isn't enough. Too many environments and architectures are wont to toss a simple, network-based solution at the problem and call it a day. But rudimentary load balancing techniques that rely solely on a set of metrics are doomed to fail eventually. That's because a simple number like "connection count" does not provide enough context to make an intelligent load balancing decision. An application instance may currently have only 100 connections while another has 500, but if the capacity of the former is only 200 while the capacity of the other is 5000, a decision based on "least connections" is not the right one.

Application-aware networking tells us that load balancing decisions - even rudimentary ones - should be made based on a variety of variables such as application load, response time, and capacity. That means a modern load balancing service capable of not just tracking these metrics but gathering them from the application instances under management.

(Un)Predictable Provisioning
In data centers, it is best practice to deploy application instances on similarly capable hardware. This is because doing so provides predictable capacity and performance that can be used to better scale an application and ensure compliance with service level expectations.

When moving to a cloud environment - whether public or private - this practice can be lost. In the public cloud, that's because you have no control over the underlying hardware capabilities - you can only specific the compute capabilities of an instance. In a private cloud, you have more control over this but may not have provisioning systems intelligent enough to provide the visibility you need to make a provisioning decision in real time.

That can lead to problems. Consider this nugget from a recent blog post:

One thing that I’ve learned is that you can end up on a variety of different hardware but they don’t always act the same. Stackdriver has been a great help with this. For example, if we’re firing up 6 web servers, Stackdriver can help us see that 5 are cruising along at 20% CPU, while one is at 50% CPU. It allows us to see and address that anomaly.

http://www.stackdriver.com/devops-focus-matt-trescot-studyblue/

Let's assume, for a moment, this is true. Because it can be. Anyone who's ever dealt with hardware servers knows it's true - hardware, though matched in terms of basic capacity, can wind up performing differently. That's due to a number of things including the natural degradation of capacity over time due to "wear and tear" as well as the possibility of misconfiguration or the presence of some other artifact or code that may be eating up cycles. operational axiom 2a

In any case, the reason is not as important as the fact that this happens. It's important because we know operational axiom #2: as load increases, performance decreases. It also follows that as load increases, capacity decreases because, well, capacity and load go hand in hand.

Thus, in a cloud environment the aforementioned situation presents a problem: one of the "servers" is at a disadvantage and is not going to perform as well as the other five. Not only that, but its capacity as understood (and likely configured manually) by the load balancing is now inaccurate. The load balancing service believes all six servers have a capacity of X connections, but the reality is that a higher CPU utilization rate can reduce that.

A simple load balancing service is not going to adjust because it doesn't have the visibility or intelligence to make that connection. Whether the service is configured to use round robin (almost never a good idea) or a least connections (can be an acceptable choice if all other factors are predictable) algorithm, service levels are going to degrade unless the service is aware enough to recognize the discordance occurring.

Thus, we end up with a situation in which predictable performance and availability are, well, not necessarily predictable. Which introduces operational risk that must, somehow be countered.

Correcting for Unpredictable Provisioning

state-of-apm-issuesIn enterprise-class data centers, application aware networking services are able to factor in not just connection counts and response times, but server load and a variety of other variables that can offset the unpredictability of provisioning processes. As noted earlier, application-aware load balancing services have the visibility and programmability necessary to monitor and measure the status of application instances and servers for a variety of metrics including CPU utilization (load).

What's perhaps even more interesting is that programmability enables extensibility of gathering and monitoring those statistics. If the application instance can present a variable which you deem critical for making load balancing decisions, programmability of the load balancing service makes it possible to incorporate that variable into its algorithm (or create a completely new one, if that's what it takes).

All these factors combine to answer the question, "Why does the network need to be dynamic?" or "Why do we need SD<insert preferred "N" or "DC" here>?"

Dynamic implies an ability to react in the face of unanticipated (unpredictable) situations. Unpredictable provisioning that can result in inconsistent capacity and performance has to be countered somewhere, and that somewhere is going to be upstream of the application instances exhibiting erratic behavior. Upstream is usually (and almost always in any of today's scalable architectures) an ADC or load balancing service.

That load balancing service must be application-aware and programmable if it's going to execute on its mission of maintaining performance and availability of applications in the face of the potentially unpredictable provisioning processes of cloud computing environments.

DevOps: More than just deployment
DevOps practitioners must become adept at not only understanding the complex relationships between performance and availability and capacity and load, but how to turn those business and operational expectations into reality by taking advantage of both application and network infrastructure capabilities.

DevOps isn't, after all, just about scripting and automation. Those are tools that enable devops practitioners to do something, and that something is more than just deploying apps - it's delivering them, too.

•   •   •

Excerpt from the State of APM Infographic courtesy of Germain Software, LLC.

More Stories By Lori MacVittie

Lori MacVittie is responsible for education and evangelism of application services available across F5’s entire product suite. Her role includes authorship of technical materials and participation in a number of community-based forums and industry standards organizations, among other efforts. MacVittie has extensive programming experience as an application architect, as well as network and systems development and administration expertise. Prior to joining F5, MacVittie was an award-winning Senior Technology Editor at Network Computing Magazine, where she conducted product research and evaluation focused on integration with application and network architectures, and authored articles on a variety of topics aimed at IT professionals. Her most recent area of focus included SOA-related products and architectures. She holds a B.S. in Information and Computing Science from the University of Wisconsin at Green Bay, and an M.S. in Computer Science from Nova Southeastern University.

@MicroservicesExpo Stories
Get deep visibility into the performance of your databases and expert advice for performance optimization and tuning. You can't get application performance without database performance. Give everyone on the team a comprehensive view of how every aspect of the system affects performance across SQL database operations, host server and OS, virtualization resources and storage I/O. Quickly find bottlenecks and troubleshoot complex problems.
"Dice has been around for the last 20 years. We have been helping tech professionals find new jobs and career opportunities," explained Manish Dixit, VP of Product and Engineering at Dice, in this SYS-CON.tv interview at 19th Cloud Expo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
SYS-CON Events has announced today that Roger Strukhoff has been named conference chair of Cloud Expo and @ThingsExpo 2017 New York. The 20th Cloud Expo and 7th @ThingsExpo will take place on June 6-8, 2017, at the Javits Center in New York City, NY. "The Internet of Things brings trillions of dollars of opportunity to developers and enterprise IT, no matter how you measure it," stated Roger Strukhoff. "More importantly, it leverages the power of devices and the Internet to enable us all to im...
Rapid innovation, changing business landscapes, and new IT demands force businesses to make changes quickly. In the eyes of many, containers are at the brink of becoming a pervasive technology in enterprise IT to accelerate application delivery. In this presentation, attendees learned about the: The transformation of IT to a DevOps, microservices, and container-based architecture What are containers and how DevOps practices can operate in a container-based environment A demonstration of how ...
DevOps is being widely accepted (if not fully adopted) as essential in enterprise IT. But as Enterprise DevOps gains maturity, expands scope, and increases velocity, the need for data-driven decisions across teams becomes more acute. DevOps teams in any modern business must wrangle the ‘digital exhaust’ from the delivery toolchain, "pervasive" and "cognitive" computing, APIs and services, mobile devices and applications, the Internet of Things, and now even blockchain. In this power panel at @...
Financial Technology has become a topic of intense interest throughout the cloud developer and enterprise IT communities. Accordingly, attendees at the upcoming 20th Cloud Expo at the Javits Center in New York, June 6-8, 2017, will find fresh new content in a new track called FinTech.
Keeping pace with advancements in software delivery processes and tooling is taxing even for the most proficient organizations. Point tools, platforms, open source and the increasing adoption of private and public cloud services requires strong engineering rigor – all in the face of developer demands to use the tools of choice. As Agile has settled in as a mainstream practice, now DevOps has emerged as the next wave to improve software delivery speed and output. To make DevOps work, organization...
Without lifecycle traceability and visibility across the tool chain, stakeholders from Planning-to-Ops have limited insight and answers to who, what, when, why and how across the DevOps lifecycle. This impacts the ability to deliver high quality software at the needed velocity to drive positive business outcomes. In his general session at @DevOpsSummit at 19th Cloud Expo, Phil Hombledal, Solution Architect at CollabNet, discussed how customers are able to achieve a level of transparency that e...
Kubernetes is a new and revolutionary open-sourced system for managing containers across multiple hosts in a cluster. Ansible is a simple IT automation tool for just about any requirement for reproducible environments. In his session at @DevOpsSummit at 18th Cloud Expo, Patrick Galbraith, a principal engineer at HPE, discussed how to build a fully functional Kubernetes cluster on a number of virtual machines or bare-metal hosts. Also included will be a brief demonstration of running a Galera MyS...
@DevOpsSummit at Cloud taking place June 6-8, 2017, at Javits Center, New York City, is co-located with the 20th International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to wait for long developm...
As we enter the final week before the 19th International Cloud Expo | @ThingsExpo in Santa Clara, CA, it's time for me to reflect on six big topics that will be important during the show. Hybrid Cloud: This general-purpose term seems to provide a comfort zone for many enterprise IT managers. It sounds reassuring to be able to work with one of the major public-cloud providers like AWS or Microsoft Azure while still maintaining an on-site presence.
Between 2005 and 2020, data volumes will grow by a factor of 300 – enough data to stack CDs from the earth to the moon 162 times. This has come to be known as the ‘big data’ phenomenon. Unfortunately, traditional approaches to handling, storing and analyzing data aren’t adequate at this scale: they’re too costly, slow and physically cumbersome to keep up. Fortunately, in response a new breed of technology has emerged that is cheaper, faster and more scalable. Yet, in meeting these new needs they...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more business becomes digital the more stakeholders are interested in this data including how it relates to business. Some of these people have never used a monitoring tool before. They have a question on their mind like “How is my application doing” but no id...
In his session at 19th Cloud Expo, Claude Remillard, Principal Program Manager in Developer Division at Microsoft, contrasted how his team used config as code and immutable patterns for continuous delivery of microservices and apps to the cloud. He showed how the immutable patterns helps developers do away with most of the complexity of config as code-enabling scenarios such as rollback, zero downtime upgrades with far greater simplicity. He also demoed building immutable pipelines in the cloud ...
@DevOpsSummit taking place June 6-8, 2017 at Javits Center, New York City, is co-located with the 20th International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. @DevOpsSummit at Cloud Expo New York Call for Papers is now open.
In IT, we sometimes coin terms for things before we know exactly what they are and how they’ll be used. The resulting terms may capture a common set of aspirations and goals – as “cloud” did broadly for on-demand, self-service, and flexible computing. But such a term can also lump together diverse and even competing practices, technologies, and priorities to the point where important distinctions are glossed over and lost.
Without lifecycle traceability and visibility across the tool chain, stakeholders from Planning-to-Ops have limited insight and answers to who, what, when, why and how across the DevOps lifecycle. This impacts the ability to deliver high quality software at the needed velocity to drive positive business outcomes. In his session at @DevOpsSummit 19th Cloud Expo, Eric Robertson, General Manager at CollabNet, showed how customers are able to achieve a level of transparency that enables everyone fro...
Monitoring of Docker environments is challenging. Why? Because each container typically runs a single process, has its own environment, utilizes virtual networks, or has various methods of managing storage. Traditional monitoring solutions take metrics from each server and applications they run. These servers and applications running on them are typically very static, with very long uptimes. Docker deployments are different: a set of containers may run many applications, all sharing the resource...
Join Impiger for their featured webinar: ‘Cloud Computing: A Roadmap to Modern Software Delivery’ on November 10, 2016, at 12:00 pm CST. Very few companies have not experienced some impact to their IT delivery due to the evolution of cloud computing. This webinar is not about deciding whether you should entertain moving some or all of your IT to the cloud, but rather, a detailed look under the hood to help IT professionals understand how cloud adoption has evolved and what trends will impact th...