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Sightline Systems announces that its IIoT software, Enterprise Data Management (EDM), has been selected by a major global appliance manufacturer to provide real-time visibility into their manufacturing processes. This new software will be included in manufacturing operations around the world and will provide never before seen real time visibility. Sightline’s IIoT EDM software is planned for the multi-country roll out in Q3 of 2016 and will help the company attain a significant competitive advantage.

The Sightline IIoT EDM solution has already exceeded the expectations of other global manufacturers, providing high speed data collection and analysis of manufacturing processes. Sightline EDM for manufacturing simultaneously monitors multiple PLCs, manufacturing sensors, IIoT devices, storage devices, network devices, peripherals such as cameras and door locks and more all in real time. Millisecond analytics are critical for precision manufacturing and EDM is specifically designed to provide the real-time data manufacturers need to make smarter, more cost effective decisions on the fly.

“This company, which has asked to remain confidential, has found a real competitive advantage from using Sightline Systems’ software to monitor their manufacturing processes in real time,” says Brandon Witte, President and CEO of Sightline Systems. “The advanced EDM tool can analyze massive volumes of data created during the manufacturing process, correlate the data and provides highly sophisticated analytics in real time. The highly advanced processing ability allows engineers to quickly identify issues and make process improvements which can increase quality and reduce costs,” continued Witte.

The Sightline IIoT EDM software is the helping manufacturers gain a competitive advantage as the costs to produce goods continues to increase.  The Sightline solution is capable of capturing and analyzing millisecond level data which was previously cost prohibitive or technically not possible in manufacturing environments.  Sightline’s state of the art yet simple to deploy software leverages commodity class hardware yet can capture and visualize sub second data in real time.  Successful companies are leveraging the advanced data and analytics from EDM to ensure system-wide performance. Sightline EDM is used by world-renowned global companies to provide full visibility into IT and OT environments.  Its user-friendly dashboards highlight all active alerts and provides a comprehensive history for all mission-critical servers, operating systems, sensor data, monitored applications and more.

Sightline Systems is well known for providing top-level business intelligence and advanced analytics solutions that leverage time series data, predictive analysis, visualization, advanced alerting capability and more in real time to provide its customers with a higher level of insight than any other software company. Customers that implement Sightline’s solutions have noted enhanced efficiency, improved accuracy and increased profitability.

To learn more about Sightline Systems IIoT solution for manufacturing, contact Sightline Systems today at (703) 563-3000 or click here. EDM solutions are also available for a wide variety of industries. Learn more here.

Sightline Systems is currently seeking an experienced Marketing Associate to join our team in Fairfax,VA.

Who we are:

Sightline Systems is a software company located in Fairfax, VA that specializes in IT performance monitoring and analytics software. We are looking for a creative, motivated Marketing Associate to help us grow. This is a hands-on role that is responsible for the generation and development of marketing-qualified leads to help drive sales.

Responsibilities:

  • Help generate and follow up on new leads by creating content for and managing corporate social media accounts.
  • Attract visitors and convert site traffic in MQLs through calls-to-action, landing pages, and lead generation content
  • Assist with managing our marketing automation and lead nurturing tools
  • Optimize web site content for search engines
  • Report on performance of marketing activities and campaigns, gain insight and assess against goals
  • Help increase our contact database though organic methods
  • Participate in industry events and conferences
  • Provide market and industry research and analysis
  • The Marketing Associate will report to the VP – Sales

Requirements:

  • BA/BS degree or equivalent
  • A passion for marketing as well software and technology
  • 2+ years of marketing experience (post-college)
  • Proficient in the use of corporate social marketing tools and applications (LinkedIn, Twitter, Facebook, etc) to increase leads
  • Excellent communicator and creative thinker, with an ability to use both data and intuition to inform decisions
  • Exceptional written and oral communication skills
  • Fluency in English (written and oral)
  • Able to work in the U.S. without sponsorship

Bonus experience and skills:

  • Experience with the following marketing solutions Google Ads, HubSpot, Adobe, etc.

Benefits and Compensation:

Sightline provides all employees with medical, vision, dental, life and disability insurance, a 401k plan and free parking.  The Marketing Associate position pays a competitive annual salary based on level of experience and with the opportunity for annual performance-based bonuses.

About Sightline:

Sightline Systems offers real-time performance monitoring, big data analytics and visualization focused on root cause analysis, anomaly detection, capacity planning and forecasting for critical IT systems.  Sightline’s powerful analytics go beyond point-in-time data to include over time and real time trend analysis, with abnormal behaviors or events dynamically communicated for appropriate actions.

Qualified applicants should send a cover letter and resume to recruiting@sightline.com.

Sightline Systems is currently seeking an experienced Support Analyst to join our team in Fairfax,VA.

Who we are:

Sightline offers a real-time operations intelligence solution focused on analytics, root-cause analysis and correlation of data from any source — critical IT systems, applications, storage, databases — down to the process level.

Sightline’s powerful analytics go beyond point-in-time data to include over time and real time trend analysis, with abnormal behaviors or events dynamically communicated for appropriate actions.

About the role:

We are looking for a creative, motivated Product Support Analyst to help us grow. The Product Support Team is the primary support interface for customers, resellers, and distributors.

The Analyst will assume ownership of support cases assigned by the Product Support Manager and will follow through until the case has been closed or reassigned to another individual. If a question cannot be immediately answered, the candidate will be expected to use available resource material and/or consult with product experts to advance the resolution of the issue in a timely manner.

What you’ll do:

  • Provide product support to customers, re-seller, and distributors
  • Develop automated test cases
  • Test new product releases
  • Take appropriate steps to bring any open support cases to resolution in a timely manner
  • Occasional travel to customer sites for sales support or on-site troubleshooting.
  • Work with the Product Engineering team to facilitate resolution of customer tickets and issues
  • Position reports to the Product Support Manager

Our ideal candidate:

Education and experience

  • Bachelor’s degree (or higher) in information technology, business, or a related field
  • 3+ years of work experience (post-college)
  • Experience working with a software product company
  • Client or customer facing work experience
  • End user support experience

Skills and abilities:

  • Fluency in English (written and oral)
  • Proficiency in Microsoft Office applications and overall computer skills
  • Time management skills to prioritize and meet deadlines
  • Highly organized with outstanding attention to detail
  • Individual who is creative and offers new ideas
  • Ability to work independently and as a member of a team
  • Flexibility to work in a changing environment
  • Ability to thrive in a fast-paced environment
  • Ability to work in the U.S

What we offer:

  • Competitive annual salary based on level of experience and with the opportunity for annual performance-based bonuses.
  • Medical, vision, dental, life and disability insurance, a 401k plan and free parking.

Qualified applicants should send a cover letter and resume to recruiting@sightline.com.

Big Data Visualization

Correlate, visualize and analyze thousands of datapoints in real-time

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Unified Monitoring

Consolidate multiple monitoring tools into a single pane of glass

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Performance Analytics

Visualize IT performance data in real time with predictive analytics

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Capacity Planning

Automatically forecast limited system resources before trouble strikes

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Root Cause Analysis

Diagnose and resolve hard-to-find performance issues faster

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In Linux, calculating available memory is not always straightforward. This is because Linux treats memory resources differently than other operating systems. Because of this, many Linux server monitoring tools do not properly calculate the true value of the property correctly, because of what Linux is doing with memory resources behind the scenes. So a Linux admin running a Linux system might see that they have zero (0) Memory resources available, when in fact plenty of memory is available.

Linux, by design, uses RAM memory for disk caching to speed up the system. This means that the Mem % Free metric will consistently be low (maybe 5%), when in actuality, the system is only using 50% of the RAM.

It is possible in Sightline EDM to accurately monitor Linux memory usage and generate alerts when the amount of real memory gets too low, as opposed to when the default Mem % Free metric only appears to be too low.

Currently, this needs to be done using an expression, which lets you build and define your own metrics using currently existing metrics. We will make 2 expressions in order to monitor real Linux memory usage.

  1. Mem Real Free GByte: We will make an expression called “Mem Real Free GByte”. It will add the following three metrics together: “Mem Buffers GByte” + “Mem Cached GByte” + “Mem Free GByte“. These metrics added together provide a metric which takes out the cache and buffers from the memory calculation.
  2. Mem Real pct Free: We will then create an expression called “Mem Real pct Free.” This metric provides a percentage value which can be used to create accurate Linux memory usage alerts across systems. This is because a percentage will be accurate whether the system has 4 GB or 40 GB. This is done by the following calculation: (“Mem Real Free GByte” / “Mem Total GByte“)  * 100. This takes the free GBytes and divides by the total GBytes the system has, and then multiplies the result by 100 to get a percentage. For example, if a 16 GB system has a “Mem Real Free GByte” value of 10 GB, then the calculation would be  (10/16) * 100, which equals 62.5%.

By using these expressions, it is possible to create meaningful alerts based on real memory instead of the default Mem % Free across a wide range of Unix systems.

The screenshot below shows the default Linux memory metric, Mem % Free, in the lower blue line hovering around 1% free, in comparison with the expression created for Mem Real pct Free, which shows the upper orange line around 36% free. Although the blue line appears to indicate that the Linux system is out of memory, that memory is actually being used for disk caching, whereas the orange line shows real memory around 36% free, which is a much better metric for creating performance alerts. 

sightline-edm-linux-memory-usage-screenshot.jpg

The difference can also be seen at the end of the graph, when an application begins using real memory, causing the orange line to dip down to 5%. The blue line does not reflect this change, however, because the system simply decreases the amount of memory available for disk caching and increases the amount of memory availabile to other applications, which effectively cancels each other out. In this way, it is possible to set up alerts to accurately monitor Linux memory usage in Sightline EDM’s IT Infrastructure monitoring system.

The Industrial Internet of Things (IIoT) is changing the landscape of the U.S. manufacturing industry.  Companies that understand the patterns and trends and position themselves to prepare for the impending advances will most certainly gain a competitive edge in the global marketplace. 

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Companies no longer have the luxury of being anything but data-driven. Data used to be something to simply maintain and manage, but now it’s a valuable asset that companies use to gain a competitive edge. With change happening so rapidly, how are manufacturers preparing to take advantage of the massive amounts of data that is available and more importantly, how are they using that data to really take advantage of the power that IIoT delivers?

When posing the question of how manufacturing companies are preparing for IIoT, many manufacturing leaders think of IIoT as something far off in the distance, but they don’t really understand the full impact that is coming. Many see it as a fad or something that may only have some effect on the way they handle day-to-day operations in the long run.  As we begin to peel back the layers of IIoT, one sees that there is a strong potential for a shift to occur that will change the entire manner in which manufacturing companies operate similar to what the manufacturing industry saw when they were first implementing automation and began using IT and other electronics. As a result, manufacturing leaders are seeking to develop formal and informal IIoT strategies that will position their companies to take advantage of new opportunities to streamline efficiencies, reduce downtime and stimulate profitability sooner rather than later.


Where We’ve Been and Where We’re Going

If one reviews the history of manufacturing, there are four distinct manufacturing industrial revolutions spanning from the initial mechanical production facilities to mass production to use of electronics and IT to IIoT and systems integration. The fourth industrial revolution, or Industry 4.0, will allow manufacturers to leverage the Industrial Internet of Things (IIoT) to collect vast amounts of sensor and network data, apply advanced analytics and further utilize new technology such as robots and 3-D printing to improve quality and output.

While some progressive manufacturers see where the industry is headed, many are only at the starting gate of the next wave of innovation fueled by IIoT applications and solutions. According to a recent study by Smart Industry, many manufacturers are focused on learning and benchmarking to formulate winning strategies. Many will be using the findings to reduce operational costs, optimize asset utilization, improve worker productivity, enhance workplace safety, enhance the customer experience and create new business models and revenue streams.


IIoT Will Produce More “A-Ha” Moments for Manufacturers

The best way for the manufacturing industry to capitalize on IIoT is by gathering more data from sensors and systems and utilizing it to make business-driven decisions. While that may seem as though it is not an easy task, by adding advanced analytics solutions now, manufacturers will most certainly have more “a-ha” moments as they produce insights previously clouded by uncertainty or unattainable due to limited resources and time.

The advanced platforms will enable manufacturers to gather the right data, at the right time which can be leveraged to make well-informed, and most importantly, proactive business decisions. These tools will provide more insight and will enable manufacturers to develop a major engine to identify and create new products, services and profit centers all while simultaneously improving production efficiency, reducing costs, preventing downtime, ensuring quality and enhancing their overall ability to strategically plan business operations.


Manufacturers Aren’t Really Sure Where to Begin

Data is being collected by sensors, PLCs and more to the point some manufacturers are overwhelmed with data and aren’t really sure where to start. With so much data readily available, many manufacturers are wondering how to start implementing IIoT technologies in a thoughtful manner. Many manufacturers are taking a very close look at the data they want to collect and how they will use the information to streamline efficiencies, realize opportunities and produce a sizeable return on investment (ROI).

Manufacturers are concerned by a host of obstacles for adopting IIoT in their companies, with the most notable being cybersecurity. Cybersecurity concerns, lack of overall IIoT knowledge internally, legacy products that do not have obvious IIoT connectivity and lack of senior management support and commitment, just to name a few, are among the most pressing issues that keep manufacturers up at night. In order to wrap their arms around these challenges, proactive manufacturers will need to gain a better understanding of how to leverage advanced analytics. The traditional manufacturing business model is quite reactive and relies on management to be the primary driver of change, production that is driven by a sales forecast, and system improvements if, and only if, it is perceived to be “broken.”  As the manufacturing landscape advances due to IIoT, manufacturers must begin to take a more holistic view of the entire company to better understand how one part of the operation affects other parts in order to take advantage of enormous opportunities for improvement and to proactively gain the competitive edge.

As manufacturers begin to take a more holistic approach, many are working with internal teams, suppliers and consultants to decide the most valuable data to collect, what systems require enhancement, how the data will help them realize opportunities as well as how to gauge the full impact of IIoT changes within and outside the company. The two most critical issues are data management and cybersecurity. These areas will be critical challenges for the company to address as it affects future competitiveness

IIoT is most definitely changing the landscape of the manufacturing industry as we know it. Manufacturers that read the trends, understand data patterns and begin to lay the foundation now to proactively take advantage of the technological advances will be poised to remain viable in the global marketplace throughout the decades to come.