|By AppDynamics Blog||
|April 2, 2014 10:30 AM EDT||
Data is dumb but we can't seem to get enough of it these days. An entire industry has evolved to make sense of the massive amounts of data being generated every day. Massive data collection by itself does not guarantee the context required to solve business and IT problems... If we are smart about data, however, it will lead us in the right direction.
Today's businesses are defined by the software they run on, enabling them to innovate and create new services faster. Apple re-invented the music industry through software; Netflix changed the way we consume movies through software; grocery shopping, taxi-hire, parcel-logistics, car rental, travel booking... these are all industries that have been completely disrupted by software.
As more and more organisations depend upon the software they run on, the consumer demand for superior services, faster innovation, and improved performance continues to accelerate. As a result the software required to compete in this unforgiving market only continues to increase in its complexity.
It was only a few short years ago that when I wanted to book my family vacation, we all made the trip down to the local travel agent and sat around a desk while the agent tapped away on her green-screen searching for available flights and hotels. The process of booking our hotels has obviously changed dramatically, and so have the applications that support the process.
For example, below is a screen shot of the Business Transaction flow through a global travel site when a user makes a simple search for a hotel. All the user does is select a destination, some dates and maybe one or two preferences, but the resultant transaction kicks off more than 200 service requests before the results are returned to the user they can make their selection of preferred hotel.
This rise in application complexity often means we generate increasingly more structured and unstructured data from our applications such as log files, email, alerts, infrastructure stats, network stats etc. Close to 200 billion emails will be sent in 2014, I wonder how many of those emails are false alerts from monitoring tools?
I have been helping companies build monitoring strategies for nearly a decade, and the problem I used to regularly face was dealing with organisations that just didn't have enough data. IT departments didn't have the required information to be able to quickly diagnose and remediate problems when they occurred.
As organisations continue to have a greater dependency on the software they run on and application complexity continues to increase, there is a danger we swing the other way by collecting and storing too much data to be able to make sense of it in a timely manner. My colleague Jim Hirschauer often refers to this as the "home hoarders effect" drawing parallels with people who simply never throw anything out from their homes. The bigger the piles get the harder it is to find what you need, and at some point that pile is going to topple over.
Keep what you need
There are lots of good reasons to keep data, but "just in-case we need it" is not a good reason. It is important to think about why the data is being captured and stored and how it will help solve problems in the future. By keeping the relevant data and throwing away the clutter, you become more efficient and effective in troubleshooting and resolving problems.
But data alone isn't good enough to solve your business and IT problems. Data in and of itself is one-dimensional and dumb. Data doesn't tell you when there are problems, it doesn't tell you when business is going well, it doesn't tell you anything meaningful without some help and a lot more context. Let's explore an example to illustrate my point.
Let's say we have a couple of data points about a person. The data points are...
Heart Rate = 150 bpm
Blood Pressure = 200 over 100
Now tell me, is this person performing well? With these data points we have no idea. We need more data. The table below shows a list of some possible data points we can collect.
Notice the last attribute in the table. The activity provides us with the context we need to focus on the proper data points to figure out if the person is performing well or not. Here are some more relevant data points...
Distance Run = 100 meters
Time = 9.58s
Now can we determine if the person is performing well or not? I'm not much of a track and field aficionado so I have no idea if this is a good performance or not. I need point of comparison to determine if 9.58 seconds in the 100-meter dash is good. So here is our baseline for comparison sake...
100-Meter World Record Time = 9.69s
Well it looks like the person was performing really well. They set a world record in the 100-meter dash. All of the data points individually didn't tell us anything. We required correlation (context) and analytics (comparison to baseline) in order to turn data into information. I like to refer to this concept as creating Smart Data.
Smart Data Defined
Smart Data is actionable, intelligent, information.
Smart Data is created by performing correlation and analytics on data sets. AppDynamics correlates end user business transaction details with completion status (success, error, exception), response times, and all other data points measured at any given time. It automatically analyzes the entire data set to provide information from which to draw conclusions and take the appropriate action. This information is called Smart Data.
Being smart about your monitoring data collection allows you to isolate and resolve problems much faster, and with a much lower cost of ownership and overhead.
I have recently been working with a company to replace their legacy monitoring tool with AppDynamics. The environment they are monitoring is a good size, consisting of about 1,200 servers and their main application processes approximately 300,000 transactions per minute. They invested in a monitoring tool to help manage the performance of their applications which captured and stored all the data they could "just in-case" it was needed. Unfortunately this approach required an additional 92 servers to be provisioned for the monitoring tool itself, which consumed approximately 80TB of data storage per year. The increasing investments this customer needed to make in hardware, storage, people, and maintenance was too much to manage for them and they decided to look for a different approach.
AppDynamics "smart data" approach to analytics means this particular customer now only requires two reporting servers and the storage requirements were reduced to just 1TB per year. Collecting only the data required to make smart decisions gave them both a 98% reduction in hardware costs and more effective analytics in the process.
Adding business context
Smart data is not just about resolving problems faster though. In October last year we introduced Real-time Business Metrics and described how AppDynamics customers can use Real-time Business Metrics to extract and present business metrics directly from within their applications. These business metrics provide business context enabling customers to turn smart data into actionable information. Our customers, for example, can see the exact revenue impact of performance problems, the end user experience during an app upgrade, or the real-time impact of marketing campaigns. Smart analytics not only clearly show the business benefits of making immediate improvements, they help direct where limited resources should be invested for further business and application improvement going forward.
AppDynamics is focused on delivering actionable intelligence to sell problems for IT operations and development teams as well as business owners. To learn more about Real-time Business Metrics read here.
The post A New Breed of Actionable Analytics written by Tom Levey appeared first on Application Performance Monitoring Blog from AppDynamics.
On Dice.com, the number of job postings asking for skill in Amazon Web Services increased 76 percent between June 2015 and June 2016. Salesforce.com saw its own skill mentions increase 37 percent, while DevOps and Cloud rose 35 percent and 28 percent, respectively. Even as they expand their presence in the cloud, companies are also looking for tech professionals who can manage projects, crunch data, and figure out how to make systems run more autonomously. Mentions of ‘data science’ as a skill ...
Jul. 29, 2016 11:46 AM EDT
Adding public cloud resources to an existing application can be a daunting process. The tools that you currently use to manage the software and hardware outside the cloud aren’t always the best tools to efficiently grow into the cloud. All of the major configuration management tools have cloud orchestration plugins that can be leveraged, but there are also cloud-native tools that can dramatically improve the efficiency of managing your application lifecycle. In his session at 18th Cloud Expo, ...
Jul. 29, 2016 11:30 AM EDT Reads: 1,213
SYS-CON Events announced today that LeaseWeb USA, a cloud Infrastructure-as-a-Service (IaaS) provider, will exhibit at the 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. LeaseWeb is one of the world's largest hosting brands. The company helps customers define, develop and deploy IT infrastructure tailored to their exact business needs, by combining various kinds cloud solutions.
Jul. 29, 2016 11:15 AM EDT Reads: 1,330
Amazon has gradually rolled out parts of its IoT offerings in the last year, but these are just the tip of the iceberg. In addition to optimizing their back-end AWS offerings, Amazon is laying the ground work to be a major force in IoT – especially in the connected home and office. Amazon is extending its reach by building on its dominant Cloud IoT platform, its Dash Button strategy, recently announced Replenishment Services, the Echo/Alexa voice recognition control platform, the 6-7 strategic...
Jul. 29, 2016 11:15 AM EDT Reads: 665
[webcast] Mastering DevOps Automation | @DevOpsSummit @IBMDevOps #IBM #Cloud #DevOps #ContinuousDelivery
Deploying applications in hybrid cloud environments is hard work. Your team spends most of the time maintaining your infrastructure, configuring dev/test and production environments, and deploying applications across environments – which can be both time consuming and error prone. But what if you could automate provisioning and deployment to deliver error free environments faster? What could you do with your free time?
Jul. 29, 2016 11:00 AM EDT Reads: 418
Up until last year, enterprises that were looking into cloud services usually undertook a long-term pilot with one of the large cloud providers, running test and dev workloads in the cloud. With cloud’s transition to mainstream adoption in 2015, and with enterprises migrating more and more workloads into the cloud and in between public and private environments, the single-provider approach must be revisited. In his session at 18th Cloud Expo, Yoav Mor, multi-cloud solution evangelist at Cloudy...
Jul. 29, 2016 11:00 AM EDT Reads: 490
Extreme Computing is the ability to leverage highly performant infrastructure and software to accelerate Big Data, machine learning, HPC, and Enterprise applications. High IOPS Storage, low-latency networks, in-memory databases, GPUs and other parallel accelerators are being used to achieve faster results and help businesses make better decisions. In his session at 18th Cloud Expo, Michael O'Neill, Strategic Business Development at NVIDIA, focused on some of the unique ways extreme computing is...
Jul. 29, 2016 11:00 AM EDT Reads: 505
UpGuard has become a member of the Center for Internet Security (CIS), and will continue to help businesses expand visibility into their cyber risk by providing hardening benchmarks to all customers. By incorporating these benchmarks, UpGuard's CSTAR solution builds on its lead in providing the most complete assessment of both internal and external cyber risk. CIS benchmarks are a widely accepted set of hardening guidelines that have been publicly available for years. Numerous solutions exist t...
Jul. 29, 2016 11:00 AM EDT Reads: 778
Qosmos has announced new milestones in the detection of encrypted traffic and in protocol signature coverage. Qosmos latest software can accurately classify traffic encrypted with SSL/TLS (e.g., Google, Facebook, WhatsApp), P2P traffic (e.g., BitTorrent, MuTorrent, Vuze), and Skype, while preserving the privacy of communication content. These new classification techniques mean that traffic optimization, policy enforcement, and user experience are largely unaffected by encryption. In respect wit...
Jul. 29, 2016 10:53 AM EDT Reads: 222
[webcast] Continuous Delivery in the Enterprise | @DevOpsSummit @IBMDevOps #IBM #DevOps #ContinuousDelivery
To leverage Continuous Delivery, enterprises must consider impacts that span functional silos, as well as applications that touch older, slower moving components. Managing the many dependencies can cause slowdowns. See how to achieve continuous delivery in the enterprise.
Jul. 29, 2016 10:45 AM EDT Reads: 486
SYS-CON Events announced today that Venafi, the Immune System for the Internet™ and the leading provider of Next Generation Trust Protection, will exhibit at @DevOpsSummit at 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. Venafi is the Immune System for the Internet™ that protects the foundation of all cybersecurity – cryptographic keys and digital certificates – so they can’t be misused by bad guys in attacks...
Jul. 29, 2016 09:45 AM EDT Reads: 1,462
The cloud market growth today is largely in public clouds. While there is a lot of spend in IT departments in virtualization, these aren’t yet translating into a true “cloud” experience within the enterprise. What is stopping the growth of the “private cloud” market? In his general session at 18th Cloud Expo, Nara Rajagopalan, CEO of Accelerite, explored the challenges in deploying, managing, and getting adoption for a private cloud within an enterprise. What are the key differences between wh...
Jul. 29, 2016 09:45 AM EDT Reads: 2,126
In his session at Cloud Expo, Robert Cohen, an economist and senior fellow at the Economic Strategy Institute, will provide economic scenarios that describe how the rapid adoption of software-defined everything including cloud services, SDDC and open networking will change GDP, industry growth, productivity and jobs. This session will also include a drill down for several industries such as finance, social media, cloud service providers and pharmaceuticals.
Jul. 29, 2016 09:07 AM EDT Reads: 286
Security, data privacy, reliability, and regulatory compliance are critical factors when evaluating whether to move business applications from in-house, client-hosted environments to a cloud platform. Quality assurance plays a vital role in ensuring that the appropriate level of risk assessment, verification, and validation takes place to ensure business continuity during the migration to a new cloud platform.
Jul. 29, 2016 08:00 AM EDT Reads: 455
SYS-CON Events announced today the Kubernetes and Google Container Engine Workshop, being held November 3, 2016, in conjunction with @DevOpsSummit at 19th Cloud Expo at the Santa Clara Convention Center in Santa Clara, CA. This workshop led by Sebastian Scheele introduces participants to Kubernetes and Google Container Engine (GKE). Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn the key concepts and practices for deploying and maintainin...
Jul. 29, 2016 07:45 AM EDT Reads: 972
Aspose.Total for .NET is the most complete package of all file format APIs for .NET as offered by Aspose. It empowers developers to create, edit, render, print and convert between a wide range of popular document formats within any .NET, C#, ASP.NET and VB.NET applications. Aspose compiles all .NET APIs on a daily basis to ensure that it contains the most up to date versions of each of Aspose .NET APIs. If a new .NET API or a new version of existing APIs is released during the subscription peri...
Jul. 29, 2016 07:30 AM EDT Reads: 1,005
There will be new vendors providing applications, middleware, and connected devices to support the thriving IoT ecosystem. This essentially means that electronic device manufacturers will also be in the software business. Many will be new to building embedded software or robust software. This creates an increased importance on software quality, particularly within the Industrial Internet of Things where business-critical applications are becoming dependent on products controlled by software. Qua...
Jul. 29, 2016 07:15 AM EDT Reads: 1,635
In addition to all the benefits, IoT is also bringing new kind of customer experience challenges - cars that unlock themselves, thermostats turning houses into saunas and baby video monitors broadcasting over the internet. This list can only increase because while IoT services should be intuitive and simple to use, the delivery ecosystem is a myriad of potential problems as IoT explodes complexity. So finding a performance issue is like finding the proverbial needle in the haystack.
Jul. 29, 2016 06:45 AM EDT Reads: 2,367
"We host and fully manage cloud data services, whether we store, the data, move the data, or run analytics on the data," stated Kamal Shannak, Senior Development Manager, Cloud Data Services, IBM, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Jul. 29, 2016 05:00 AM EDT Reads: 1,435
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, discussed how research has demonstrated the value of Machine Learning in delivering next generation analytics to imp...
Jul. 29, 2016 04:45 AM EDT Reads: 2,571