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TYSONS CORNER, VA, May 5, 2017 — F5 Networks (Nasdaq: FFIV) will move its corporate headquarters in Seattle, Washington, to a
In an effort to ensure the success of the mobile workforce, scientists from the University of California in San Diego have developed an automated troubleshooting system for wireless-access networks.
The enterprise-scale troubleshooting system, which initially was designed for the UCSD computer science building, is capable of detecting and diagnosing various problems often encountered when using a Wi-Fi connection.
The two most common problems related to wireless networks are slow performance and an unreliable connection. The prime causes of both are either a weak signal or a channel "clash" — when a wall or other physical obstacle between the device and the network's wireless access point (WAP) weakens the transmitted signal, making it more likely for neighboring connections to interfere with each other.
Channel clash damages reception on both sides. However, when it comes to wireless systems, there are many other possible sources of networking faults, such as unplugged cables, switched-off wireless network adapters, dysfunctional repeaters (intermediate devices that receive and regenerate the signal, broadcasting it further to extend the wireless network's range), driver incompatibility and wrongly configured network settings.
“Few organizations have the expertise, data or tools to decompose the underlying problems and interactions responsible for transient outages or performance degradations,” claim UCSD researchers who presented a paper on the troubleshooting system at ACM SIGCOMM, one of the world’s premier networking conferences, in 2007.
Stefan Savage, UCSD associate professor of Computer Science and head of the research project, says that even though people expect Wi-Fi to work, there is a general understanding that it’s not reliable. “If you have a wireless problem in our building, our system automatically analyzes the behavior of your connection — each wireless protocol, each wired network service and the many interactions between them,” Savage explains. “In the end, we can say it’s because of this that your wireless is slow or has stopped working, and we can tell you immediately.”
The Heart of the Problem
Wireless-access networks are complicated by such issues as shared spectrums, user mobility, authentication management, and the interaction between wired and wireless networks. Diagnosing problems in these complex networks often requires a huge amount of data, knowledge and time.
Because a wireless network comprises many pieces, when disruption occurs, it is very hard to pinpoint the problematic component. Usually, it is necessary to sift through huge amounts of data. “Wireless networks are hooked onto the wired part of the Internet with a bunch of Scotch tape and bailing wire — protocols that really weren’t designed for Wi-Fi,” Savage says. “If one of these components has a glitch, you may not be able to use the Internet even though the network itself is working fine.
"For example, someone using the microwave oven two rooms away may cause enough interference to disrupt your connection," Savage explains.
Yu-Chung Cheng, who as a doctoral student in computer science at UCSD was lead author on the paper, points out that network problems today are not consistent and may occur for a number of reasons. Many aren’t detected even by network administrators. But, says Cheng, now at Google, "We’ve created a virtual wireless expert who is always at work.”
The scientists presented a set of modeling techniques for automatically characterizing the source of wireless networking problems. In their research, they focused primarily on data-transfer delays unique to the set of standard over-the-air modulation techniques that define wireless local area networks (WLANs), media access dynamics and mobility management latency.
After two years of data collection and analysis, the UCSD automated help-desk system was implemented within the Computer Science building, where it has been up and running for close to a year, 24 hours a day. Today, all wireless help-desk issues go through the new automated system, which constantly monitors data relevant to the faculty's wireless network and catches transient problems. One of the interesting things the troubleshooting system has revealed, according to researchers, is that there is no single issue that affects wireless network performance, but rather many little things that interact and go wrong in ways one might not anticipate.
According to Savage, the research team is working with Wi-Fi-based Voice over IP (VoIP) phones. “Our system is the ultimate laboratory for testing new wireless gadgets and new approaches to building wireless systems,” he says.
Savage believes that future enterprise wireless networks will have sophisticated diagnostics and repair capabilities built into them. “I look at [our work] as an engineering effort,” he says. “How much the [future wireless networks] will draw from our work is hard to tell today. You never know the impact you are going to have when you do the work. We learn something new every week.”
Utilizing Mesh Networks
Troubleshooting wireless networks is a hot syllabu among networking experts. A team of scientists from the University of Texas, UC-Berkeley and Microsoft Research have developed a system for detecting wireless connectivity problems in unique mesh networks, where all the components can connect to each other through multiple hoops.
Their research outlines a novel fault-diagnosis process in wireless mesh networks. It also details a method for employing trace-driven simulations to detect faults and to perform root-cause analyses. This approach was used to diagnose performance problems caused by packet dropping, link congestion, external noise and media access control (MAC) misbehavior, and researchers noted that “In a 25-node mesh network, we are able to diagnose over 10 simultaneous faults of multiple types with more than 80 percent coverage.”
Their troubleshooting framework integrates a network simulator, which collects traces and uses them to recreate a log of events that took place inside the real operational network. The simulator is applied to network management, such as performance tuning and “what-if” analysis for route simulation. According to the researchers, this technique can be applied to a large class of networks operating under different environments.
A Microsoft white paper offers more pointers on troubleshooting wireless mesh networks.
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For anyone practicing the news about Ticketmaster and Taylor Swift, or Twitter and Elon Musk, the problem of malicious bots might seem insurmountable.
These automated programs can snap up concert tickets in the blink of an eye, or pose as humans on social media, among countless other mischievous tasks. Bad bots are a big problem, accounting for one-quarter to as much as one-half of global internet traffic, or even more, by different estimates.
But they are not invincible.
That’s the assessment of F5 CEO François Locoh-Donou. Seattle-based F5 is one of a growing number of tech companies that offer solutions to detect, deter, and defeat bots. Others include Akamai Technologies, Cloudflare, Google, PerimeterX (Human), Imperva, DataDome and many others.
“You beat that automation — that bad automation from bad actors — with better technology, and that better technology does exist today,” he says.
Locoh-Donou joins us to discuss the issue on this week’s GeekWire Podcast. He says he cares about the syllabu not only because F5 is in the business of battling bots, but because of the threat they pose to trust in the digital world.
“The prevalence and sophistication of bots, over the last several years, has increased exponentially because of the availability of the technology, and availability of human talent that is used to power bots,” Locoh-Donou says.
“A number of retailers and certainly social media companies haven’t really understood or grasped the motivation of the people who are creating these bots, and the sophistication of these bots, and the way that they are distorting the information that we are looking at,” he added. “So that’s why bots have become such a big issue in the digital world.”
Many companies treat the battle against bots as a “DIY project,” hiring their own engineers to address the problem, or leaving it to their internal security teams to deal with it, which Locoh-Donou described as a mistake.
To be sure, F5 has a vested interest in that viewpoint. Its security products and services include Distributed Cloud Bot Defense, which resulted from the company’s $1 billion acquisition of Shape Security three years ago.
However, there’s a growing consensus in the tech industry that battling bots does require specialized technology.
“Organizations are beginning to realize that firewalls, denial of service attack prevention, and network security features … are insufficient to solve bot problems,” said Aite-Novarica Group, a financial services research and advisory firm, in a September 2022 report. “Purpose-built bot management solutions are a must to defend against today’s sophisticated bots and nefarious operators that quickly ‘out tool’ bot detection.”
The market is “reaching critical mass,” at an estimated $860 million overall this year, on track for a market size of $1.2 billion in 2025, Aite-Novarica estimates.
Aite-Novarica put F5’s bot detection and defense technology in the category of “best in class” in its report. Forrester Research categorized F5 as a “contender” in the bot management market, in an April 2022 report.
“Bad bots continue to consume resources and overwhelm organizations,” the Forrester analysts wrote. “Modern bot management tools must keep up with ever-evolving attacks, offer a range of out-of-the-box and customizable reports, and enable human end customers to transact business with little friction or frustration.”
It’s part of a burgeoning business for F5, the publicly traded Seattle-based enterprise tech company, which specializes in areas including application delivery and security, networking, and multi-cloud management. Security revenue at F5 reached $1 billion in its latest fiscal year, or 37% of overall annual revenue.
Locoh-Donou says F5’s anti-bot technology analyzes thousands of signals, looking for telltale patterns that indicate the presence of bots on their websites and applications. It then leverages artificial intelligence and machine learning for a second-stage analysis, looking at historical patterns and other data, in a technological arms race with attackers.
When Locoh-Donou reads stories such as the Ticketmaster bot problem, he says he feels sad and frustrated thinking about the thousands of legitimate fans — including his own kids — who want fair access to buy tickets.
“I feel frustrated when I see that, because it’s a distortion of the digital world. And I know that there are there solutions to solve that,” he said. “Companies have a responsibility to take this issue, this prevalence of bots, more seriously.”
So Ticketmaster’s bot problem could be solved with the right technology?
“Yes,” he said. “100%”
Reference to DataDome corrected since publication.
F5 Networks FFIV is scheduled to report its fourth-quarter fiscal 2022 results after market close on Oct 25.
The company’s earnings surpassed estimates in all of the trailing four quarters, the average beat being 8.4%.
For the fiscal fourth quarter, F5 Networks estimates revenues in the range of $680-$700 million ($690 million at the midpoint). The Zacks Consensus Estimate for revenues is pegged at $692.2 million, suggesting a year-over-year increase of 1.5%.
The company anticipates non-GAAP earnings in the range of $2.45-$2.57 per share ($2.51 at the midpoint). The Zacks Consensus Estimate stands at $2.54 per share, indicating a year-over-year decrease of approximately 15.6%.
F5, Inc. Price and EPS Surprise
F5, Inc. price-eps-surprise | F5, Inc. Quote
Factors to Consider
F5 Networks’ fiscal fourth-quarter performance is likely to have benefited from the hybrid work environment and the ongoing digital transformation wave, which is boosting the demand for secured communication networks.
F5 Network’s sustained focus on transitioning the business into a software-driven model is anticipated to have aided the company’s overall performance in the fiscal fourth quarter. The surging demand for multi-cloud application services is expected to have been a key growth driver during the quarter.
Growing traction for the Enterprise License Agreement and annual subscriptions by customers are likely to have boosted software growth in the to-be-reported quarter. F5 Networks expects revenues from the Software segment to increase in the 35%-40% range in full-fiscal 2022.
However, the ongoing industry-wide supply-chain constraints for components are likely to have negatively impacted F5 Networks’ systems sales during the fiscal fourth quarter. This, in turn, is anticipated to have partially offset the benefits of the growth projection for the software business, thereby leading to much slower growth in overall Product segment revenues. The Zacks Consensus Estimate for Product revenues stands at $342 million compared with the year-ago reported figure of $340 million.
What Our Model Says
Our proven model does not conclusively predict an earnings beat for FFIV this season. The combination of a positive Earnings ESP and a Zacks Rank #1 (Strong Buy), 2 (Buy) or 3 (Hold) increases the chances of an earnings beat. However, that’s not the case here.
F5 has an Earnings ESP of 0.00% and a Zacks Rank #1. You can uncover the best stocks to buy or sell before they’re reported with our Earnings ESP Filter.
Stocks With the Favorable Combination
Per our model, Equinor EQNR, Kimbell Royalty KRP and Murphy USA MUSA have the right combination of elements to post an earnings beat in their upcoming releases.
Equinor has an Earnings ESP of +25.07% and sports a Zacks Rank #1. The company is anticipated to report its third-quarter 2022 results on Oct 26. Equinor’s earnings surpassed the Zacks Consensus Estimate in each of the trailing four quarters, the average surprise being 7.3%. You can see the complete list of today’s Zacks #1 Rank stocks here.
The Zacks Consensus Estimate for EQNR’s third-quarter earnings is pegged at $1.78 per share, indicating a 109.4% surge from the year-ago quarter’s 85 cents per share. The consensus mark for revenues stands at $57.68 billion, suggesting a year-over-year increase of 147.9%.
Kimbell Royalty has an Earnings ESP of +21.88% and currently sports a Zacks Rank #1. The company is slated to report its third-quarter 2022 results on Nov 3. Kimbell’s earnings beat the Zacks Consensus Estimate twice in the preceding four quarters and missed on the other two occasions, the average surprise being 34.4%.
The Zacks Consensus Estimate for Kimbell’s third-quarter earnings stands at 32 cents per share, implying a year-over-year increase of 700%. KRP is estimated to report revenues of $67.8 million, which suggests a surge of 113.1% from the year-ago quarter.
Murphy has an Earnings ESP of +12.68% and carries a Zacks Rank #1 at present. The company is slated to report third-quarter 2022 results on Oct 26. Murphy’s earnings beat the Zacks Consensus Estimate in each of the preceding four quarters, the average surprise being 49%.
The Zacks Consensus Estimate for quarterly earnings is pegged at $7.82 per share, suggesting a year-over-year increase of 96.5%. MUSA’s quarterly revenues are estimated to increase 29.7% year over year to $5.96 billion.
Stay on top of upcoming earnings announcements with the Zacks Earnings Calendar.
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Zacks Investment Research
A month has gone by since the last earnings report for F5 Networks (FFIV). Shares have added about 9.4% in that time frame, outperforming the S&P 500.
Will the recent positive trend continue leading up to its next earnings release, or is F5 due for a pullback? Before we dive into how investors and analysts have reacted as of late, let's take a quick look at the most recent earnings report in order to get a better handle on the important drivers.
F5 Q4 Earnings & Revenues Outpace Estimates
F5 reported strong fourth-quarter fiscal 2022 results, wherein both the top and bottom lines surpassed the respective Zacks Consensus Estimate.
The Seattle-based company’s non-GAAP earnings of $2.62 per share beat the Zacks Consensus Estimate of $2.54. Although the bottom line declined 13% from the year-ago quarter’s $3.01 per share, the figure came in way higher than management’s guided range of $2.45-$2.57 per share.
During the reported quarter, F5 Networks witnessed a 3% increase in its revenues amid a global chip shortage scenario in the semiconductor industry. The company’s non-GAAP revenues were $700 million, which surpassed the Zacks Consensus Estimate of $692.2 million. The top line was in line with the top end of the guided range of $680-$700 million.
Top Line in Detail
Product revenues (50% of total revenues), which comprise Software and Systems sub-divisions, increased 3% year on year to $350 million. Software sales jumped 13% year over year to $172 million, accounting for approximately 49.1% of the total Product revenues. However, System revenues slumped 5% to $178 million, making up the remaining 50.9% of the total Product revenues. This downside was due to the ongoing global chip shortage.
Global Service revenues (50% of total revenues) grew 2% to $350.1 million.
F5 Networks registered sales growth across the Americas, witnessing a year-over-year increase of 6.3%. The company registered a 3% and 1.7% decrease in sales growth from the EMEA and APAC regions, respectively. Revenue contributions from the Americas, EMEA and APAC regions were 61%, 23% and 17%, respectively.
Customer-wise, Enterprises, Service providers and Government represented 66%, 13% and 21% of product bookings, respectively.
Margins
GAAP and non-GAAP gross margins contracted 220 and 230 basis points (bps) to 78.9% and 81.4%., respectively.
GAAP and non-GAAP operating expenses went up 4.2% and 8.2%, respectively, to $445 million and $378.8 million. F5 Networks’ GAAP and non-GAAP operating margins shrunk 310 and 510 bps to 15.4% and 27.3%, respectively.
Balance Sheet & Cash Flow
F5 Networks exited the September-ended quarter with cash and short-term investments of $884.6 million compared with the previous quarter’s $738.4 million.
During the fiscal fourth quarter, the company generated $154.3 million of operating cash flow compared with the $71 million reported in the previous quarter.
In fiscal 2022, F5 Networks’ operating cash flow totaled $442.6 million. The operating cash flow remained under pressure due to strong multi-year subscription sales, which impacted the cash collection process.
F5 Networks repurchased shares worth $500 million during fiscal 2022.
Full-Year Highlights
For fiscal 2022, F5 Networks reported revenues of $2.7 billion, indicating an increase of 3% year over year. The company reported non-GAAP earnings of $10.19 per share compared with $10.81 per share reported a year ago.
Non-GAAP gross margin contracted 130 bps to 82.6%. Non-GAAP operating expenses increased 6.6% to $1.45 billion.
Non-GAAP operating income decreased from $822.2 million a year ago to $778.3 million in fiscal 2022. Consequently, the non-GAAP operating margin contracted 270 bps to 28.9%.
Guidance
F5 Networks projects non-GAAP revenues in the $690-$710 million (mid-point of $700 million) and non-GAAP earnings per share in the $2.25-$2.37 band (mid-point of $2.31) for first-quarter fiscal 2023.
For fiscal 2023, F5 Networks provided an estimate of 9-11% total revenue growth. The company expects software sales to grow 15-20%.
F5 Networks anticipates non-GAAP earnings to grow in the low-to-mid teens.
How Have Estimates Been Moving Since Then?
In the past month, investors have witnessed a downward trend in estimates revision.
The consensus estimate has shifted -10.85% due to these changes.
VGM Scores
Currently, F5 has an average Growth Score of C, though it is lagging a lot on the Momentum Score front with an F. However, the stock was allocated a grade of C on the value side, putting it in the middle 20% for this investment strategy.
Overall, the stock has an aggregate VGM Score of C. If you aren't focused on one strategy, this score is the one you should be interested in.
Outlook
Estimates have been broadly trending downward for the stock, and the magnitude of these revisions indicates a downward shift. Notably, F5 has a Zacks Rank #3 (Hold). We expect an in-line return from the stock in the next few months.
Performance of an Industry Player
F5 is part of the Zacks Internet - Software industry. Over the past month, Snap (SNAP), a stock from the same industry, has gained 7.7%. The company reported its results for the quarter ended September 2022 more than a month ago.
Snap reported revenues of $1.13 billion in the last reported quarter, representing a year-over-year change of +5.7%. EPS of $0.08 for the same period compares with $0.17 a year ago.
For the current quarter, Snap is expected to post earnings of $0.09 per share, indicating a change of -59.1% from the year-ago quarter. The Zacks Consensus Estimate remained unchanged over the last 30 days.
Snap has a Zacks Rank #3 (Hold) based on the overall direction and magnitude of estimate revisions. Additionally, the stock has a VGM Score of C.
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CloudShark Academy will provide hands-on training on collaborative network analysis for enterprise IT and devops teams
DOVER, N.H., Nov. 10, 2022 /PRNewswire/ -- QA Cafe, a leading provider of test solutions and collaborative network analysis tools for broadband access, enterprise networks, consumer electronics, and service providers, today announced a partnership with Packet Detectives (DuBois Training & Consulting, LLC) to create CloudShark Academy, an expert training program for enterprise IT and DevOps teams looking to onboard and provide professional development opportunities for their personnel.
Packet Detectives, spearheaded by highly-recognized industry expert Betty DuBois, offers network analysis training and consulting services to businesses and individuals worldwide. They bring over 20 years of experience in network analysis and troubleshooting to their clients, helping them to understand the fundamentals of network packet capture and investigation for a wide array of use cases.
"Packet capture analysis is such a critical part of network and application troubleshooting," said Betty. "But, it isn't well understood and often done in ways that are heavily siloed or outside of an organization's standard operating procedures. Working with QA Cafe through their CloudShark Enterprise solution lets us teach these valuable skills while also showing how to collaborate on packet data during investigations and getting everyone involved to work as a team."
"Betty has been so valuable to the community for years," said Erica Johnson, CEO at QA Cafe. "Combining her experience and teaching expertise with CloudShark's collaborative, web-based platform for network, security, and application troubleshooting is an obvious choice that will benefit enterprises, government agencies, and educational and financial institutions everywhere. We're excited to see how CloudShark Academy grows out of this partnership."
CloudShark Enterprise is a secure solution that enables network and security teams to organize, analyze, and collaborate on packet captures. It can be deployed on-premises or in the cloud, with no need to get sensitive data to local machines or install policy-violating software on workstations. For more information, see https://www.qacafe.com/analysis-tools/cloudshark/
About DuBois Training & Consulting, LLC
Betty DuBois is the Chief Detective for Packet Detectives, an application and network performance consulting and training firm based in Washington, DC. She has been solving network and application troubleshooting mysteries since 1997.
Experienced with a range of hardware and software packet capture solutions, she captures the right data, in the right place, and at the right time to find the real culprit.
Betty presents at SharkFest, the Wireshark Developer and User Conference, and is active in the Wireshark community.
You can find more on the web at https://www.bettydubois.com/.
About QA Cafe
QA Cafe is a dynamic software company and leading provider of network testing solutions and analysis tools for broadband access, home networks, consumer electronics, finance, healthcare, government, cybersecurity, and enterprise IT.
You can find QA Cafe on the web at www.qacafe.com.
Press inquiries can be directed to pr@qacafe.com or by phone at +1-603-319-6192.
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SOURCE QA Cafe LLC
