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Blog › CEO
05.20.2014 | Posted by Vance Loiselle, CEO
I originally envisioned this blog as a way to discuss our recent $30 million funding, led by our latest investor, Sequoia Capital, with full participation from Greylock, Sutter Hill and Accel. I’ve been incredibly impressed with the whole Sequoia team and look forward to our partnership with Pat. Yet despite 300 enterprise customers (9 of the Global 500), lots of recent success against our large competitor, Splunk, and other interesting momentum metrics, I’d rather talk about the ride and lessons learned from my first two years as a CEO.
- It’s Lonely. Accept It and Move On. My mentor, former boss and CEO of my previous company told me this, years ago. But at the time, it applied to him and not me (in hindsight I realize I did not offer much help). But, like being a first time parent, you really can’t fathom it until you face it yourself. I’m sure there’s some psychology about how certain people deal with it and others don’t. I’m constantly thinking about the implications of tactical and strategic decisions. I’ve learned that if you’re too comfortable, you’re not pushing hard enough. The best advice I can give is to find a Board member you can trust, and use him or her as a sounding board early and often.
- Trust Your Gut. There have been many occasions when I have been given good advice on key decisions. One problem with good advice, is you can get too much of it, and it isn’t always aligned. The best leader I ever met, and another long-time mentor, would always ask, ‘what is your gut telling you?’ More often than not, your gut is right. The nice thing about following your instincts, the only person to blame if it goes awry is yourself.
- Act Like It’s Your Money. I grew up in Maine, where $100,000 can still buy a pretty nice house. When I first moved to California from Boston it took me some time to get accustomed to the labor costs and other expenses. The mentality in most of the top startups in Silicon Valley is “don’t worry, you can always raise OPM (other people’s money)”. Though I understand the need to invest ahead of the curve, especially in a SaaS-based business like ours, I also believe too much funding can cause a lack of discipline. People just expect they can hire or spend their way around a problem.
- Don’t Be Arrogant. Just saying it almost disqualifies you. Trust me, I have come across all kinds. Backed by arguably the four best Venture Capital firms in the business, I have had plenty of opportunities to meet other CEOs, founders and execs. Some are incredible people and leaders. Some, however, act like they and their company are way too valuable and important to treat everyone with respect. Life is too short not to believe in karma.
- Listen Carefully. If a sales rep is having trouble closing deals, put yourself in his shoes and figure out what help he needs. If the engineering team is not meeting objectives fast enough, find out if they really understand the customer requirements. Often the smallest tweaks in communication or expectations can drastically change the results. Lastly, listen to your customer(s). It is very easy to write off a loss or a stalled relationship to some process breakdown, but customers buy from people they trust. Customers trust people who listen.
- It’s a People Business. Software will eat the world, but humans still make the decisions. We’re building a culture that values openness and rapid decision-making while aligning our corporate mission with individual responsibilities. This balance is a constant work in process and I understand that getting this balance right is a key to successfully scaling the Sumo Logic business.
- Find the Right VCs at the Right Time. I can’t take any credit for getting Greylock or Sutter Hill to invest in our A and B rounds, respectively. But I do have them to thank for hiring me and helping me. We partnered with Accel in November of 2012 and now Sequoia has led this recent investment. Do not underestimate the value of getting high quality VCs. Their access to customers, top talent, and strategic partners is invaluable. Not to mention the guidance they give in Board meetings and at times of key decisions. The only advice I can give here is: 1) know your business cold, 2) execute your plan and 3) raise money when you have wind at your back. Venture Capitalists make a living on picking the right markets with the right teams with the right momentum. Markets can swing (check Splunk’s stock price in last 3 months) and momentum can swing (watch the Bruins in the Stanley Cup – never mind they lost to the Canadiens).
- Believe. It may be cliché, but you have to believe in the mission. If you haven’t watched Twelve O’Clock High, watch it. It’s not politically correct, but it speaks volumes about how to lead and manage. You may choose the wrong strategy or tactics at times. But you’ll never know if you don’t have conviction about the goals.
OK, so I’m no Jack Welch or Steve Jobs, and many of these lessons are common sense. But no matter how much you think you know, there is way more that you don’t. Hopefully one person will be a little better informed or prepared by my own experience.
11.25.2013 | Posted by Vance Loiselle, CEO
The annual craze of getting up at 4am to either stand in line or shop online for the “best” holiday deals is upon us. I know first-hand, because my daughter and I have participated in this ritual for the last four years (I know – what can I say – I grew up in Maine). While we are at the stores fighting for product, many Americans will be either watching football, or surfing the web from the comfort of their couch looking for that too-good-to-be-true bargain. And with data indicating a 50% jump in Black Friday and Cyber Monday deals this year, it’s incumbent on companies to ensure that user experiences are positive. As a result, the leading companies are realizing the need to obtain visibility end-to-end across their applications and infrastructure, from the origin to the edge. Insights from machine data (click-stream in the form of log data), generated from these environments, helps retailers of all stripes maximize these two critical days and the longer-term holiday shopping season.
What are the critical user and application issues that CIOs should be thinking about in the context of these incredibly important shopping days?
User Behavior Insights. From an e-commerce perspective, companies can use log data to obtain detailed insights into how their customers are interacting with the application, what pages they visit, how long they stay, and the latency of specific transactions. This helps companies, for example, correlate user behavior with the effectiveness of specific promotional strategies (coupons, etc) that allow them to rapidly make adjustments before the Holiday season ends.
The Elasticity of The Cloud. If you’re going to have a problem, better it be one of “too much” rather than “too little”. Too frequently, we hear of retail web sites going down during this critical time. Why? The inability to handle peak demand – because often they don’t know what that demand will be. Companies need to understand how to provision for the surge in customer interest on these prime shopping days that in turn deliver an exponential increase in the volume of log data. The ability to provide the same level of performance at 2, 3 or even 10x usual volumes in a *cost-effective* fashion is a problem few companies have truly solved. The ability of cloud-based architectures to easily load-balance and provision for customer surges at any time is critical to maintaining that ideal shopping experience while still delivering the operational insights needed to support customer SLAs.
Machine Learning for Machine Data. It’s difficult enough for companies to identify the root cause of an issue that they know something about. Far more challenging for companies is getting insights into application issues that they know nothing about. However, modern machine learning techniques provide enterprises with a way to proactively uncover the symptoms, all buried within the logs, that lead to these issues. Moreover, machine learning eliminates the traditional requirement of users writing rules to identify anomalies, which by definition limit the ability to understand *all* the data. We also believe that the best analytics combine machine learning with human knowledge about the data sets – what we call Machine Data Intelligence – and that helps companies quickly and proactively root out operational issues that limit revenue generation opportunities.
Security and Compliance Analytics. With credit cards streaming across the internet in waves on this day, it’s imperative that you’ve already set up the necessary environment to both secure your site from fraudulent behavior and ensure your brand and reputation remain intact. As I mentioned in a previous post, the notion of a perimeter has long since vanished which means companies need to understand that user interactions might occur across a variety of devices on a global basis. The ability to proactively identify what is happening in real-time across your applications and the infrastructure on which they run is critical to your underlying security posture. All this made possible by your logs and the insights they contain.
Have a memorable shopping season and join me on twitter – @vanceloiselle – to continue the conversation.
11.19.2013 | Posted by Vance Loiselle, CEO
There is little debate that the “Obamacare” rollout has been choppy at best. Regardless of which side of the political debate you fall, many of us in technology, CIOs and software executives alike, can learn from this highly publicized initiative as we approach the November 30th deadline. Development of new applications, especially web applications, is no longer just about the myopic focus on Design, Develop, Test, and Rollout. The successful development and deployment of these applications must have a holistic, information-driven approach, which includes the following four key processes:
- Application Quality Analytics – the constant tracking of the errors, exceptions, and problems that are occurring in each new release of the code.
- Application Performance Analytics – the real-time measurement of the performance of the application as the users are experiencing it.
- Security Analytics – the real-time information required to analyze and conduct forensics on the security of the entire application and the infrastructure on which it runs.
- User Analytics – real-time insights on which users are in the application, what pages they are viewing, and the success they’ve had in conducting transactions in the application.
Application Quality Analytics – Is it really necessary that in the year 2013, that development of applications still need to be 4 parts art and 1 part science? I’m sure that the Secretary of Health and Human Services, Kathleen Sibelius, wished it was more science when she testified in front of Congress about why the site was not ready. She had no real-time information or metrics at her disposal about the number of defects that were being fixed each day, the number of errors being encountered by users, the severity of the errors, and the pace at which these errors and defects were being resolved.
These metrics are sitting there in the log files (data exhaust from all applications and software components to track what the software is doing), and are largely untapped by most development organizations. Moreover, this data could be shared between multiple teams to pinpoint the root cause of problems between the application itself and the network and infrastructure on which it is running. It was so frustrating to see CGI (the contractor hired to build the application) and Verizon (the contractor hired to host the application in their “cloud”) passing the buck between each other in front of Congress.
Application Performance Management – Much has been made about the performance of Healthcare.gov. The HHS secretary even had gall to say that the site had not crashed, it was just “performing slowly”, while in the congressional hearing there was a live image on the screen informing users that the site was down. The site was down AND performing slowly because the site’s developers are stuck in a previous generation of thinking – that you can measure the site performance without taking into account user analytics. It’s not good enough to measure application performance by sampling the transaction response times periodically. Testers and managers need access to real-time information about each user, the session they were running, the performance at each step, and the outcomes (e.g. new plan sign-up created or failed, 5 insurance plans compared, pricing returned from 2 out of 3 carriers, etc.) along the way. Most monitoring tools look at just the application or just the network and infrastructure it runs on, and have little to no visibility about the outcomes the user is experiencing. Guess what? Most, if not all, of this information is sitting in the logs waiting to be harnessed.
Security Analytics – I appreciated when Secretary Sibelius was asked about what steps had been taken to ensure the privacy and security of the data that fellow Americans had submitted on Healthcare.gov. The reality is that most IT organizations have very bifurcated organizations to address security and application development. The old school view is that you put a web application firewall in place and you close down the ports, and your perimeter is safe. The reality today is that there is no perimeter. People have mobile phones and tablets and use third-party services to store their documents. Healthcare.gov itself is dependent on 3rd parties (insurance carriers) to provide and receive private information.
The most effective way today to ensure some level of security is to have a real-time security analytics and forensics solution in place. These solutions can scan every element of user and system activity, from – you guessed it – the log data, and determine everything from invalid logins and potential breaches to unauthorized changes to firewall rules and user permissions.
User Analytics – Ok, I get it, the Obama administration did not want to share information about how many people had signed up on Healthcare.gov for weeks. The argument was made that the accuracy of the data could not be trusted. Either it was a political maneuver or incompetence, but either reason is sad in the year 2013. And why do the White House and HHS have the right to keep this information a secret? The American taxpayers are paying the hefty sum of $200M+ to get this application up and running. Shouldn’t we know, in real-time, the traction and success of the Affordable Care Act? It should be posted on the home page of the web site. I guarantee the information about every enrollee, every signup – successful or failed – every county from which they logged in, every plan that was browsed, every price that was displayed, every carrier that’s providing quotes was AVAILABLE IN THE LOG DATA.
There has been a lot of coverage about President Kennedy recently and we are reminded that he challenged our government to put people on the moon in the 1960s, and they did – with a very limited set of computer and software tools at their disposal. I would ask the CIOs and software types out there, let’s learn from the Healthcare.gov rollout, and embrace a modern, information-driven approach to developing and rolling out applications. And President Obama, if you need some help with this, give me a shout – I’m ready to serve.
08.30.2012 | Posted by Vance Loiselle, CEO
Recently Splunk announced the availability of its cloud offering, which is just further validation that large enterprises, along with the rest of the world, are moving from on-premise to cloud solutions. In this post I’ll share a few thoughts on why Sumo Logic started in the cloud and raise a few questions about Splunk’s announcement as it relates to the broader machine data search and analytics market.
06.25.2012 | Posted by Vance Loiselle, CEO
What is Free Machine Data Search and Analytics?
Today we announce Sumo Logic Free, the first and only free, enterprise-class machine data search and analytics service. The free version of Sumo Logic’s cloud-based service offers full functionality, including:
- Loading, indexing and archival of machine data
- Distributed search
- Real-time analytics
- Proactive monitoring and alerting
- Reporting and visualization
- Role-based access controls
Our cloud-based approach eliminates the need for expensive premise-based solutions that require upfront investments in hardware and software as well the headache of constant management and upgrades . The Sumo Logic service delivers a petabyte-scale platform that provides companies with access to valuable operational insights from their machine data—all in real time.
Why Are Companies Embracing Machine Data?
The volume, velocity and variety of machine data (logs, events, configuration changes, clickstream, etc.) being generated by applications, networks, servers, and mobile devices is overwhelming IT organizations. Our goal is to give every enterprise a way to search and analyze this machine data to troubleshoot application problems, proactively monitor performance and availability, and gain valuable operational and customer insights.
For those companies just initiating the search for the right approach to handling their Big Data, we provide a purpose-built, scalable Big Data service to harness all the great information IT organizations have at their disposal. We leverage our patent-pending Elastic Log Processing ™ platform to intelligently scale and tune the service as the enterprise grows, so IT organizations can focus on delivering value to the business.
Free Service = Win – Win.
We know that once customers start using our service, they’ll quickly see the power and value of the insights they can glean, and will want to use it for more use cases and with more data. In addition, as more customers use our service in interesting and strategic ways, we’ll be able to apply their insights for the benefits of future customers and for future product development.
05.23.2012 | Posted by Vance Loiselle, CEO
Since this is my initial blog as CEO of Sumo Logic, I thought the best way to introduce myself was not to bore you with my biography but to tell you what drew me to Sumo and my impressions to date.
When you’re considering not only leaving a great job, but asking your family to move cross-country, it had better be for a good reasons. In my case, there were four:
1. Exceptional Team: Everyone knows you need great people to create great things. Sumo Logic was started by really thoughtful technologists who have lived the problems they are solving. They have been building enterprise software to tackle Big Data from a security and log management perspective for the past ten years and know the pitfalls of on-premise architectures. Most importantly, they work their tails off to ensure they look at every technical and product issue through the eyes of the customer, without sacrificing their vision for the product and the company.
You can always tell the quality of a person by the people around them. The founders here have attracted amazing talent. And the combination of their technical brilliance, sense of humor and dedication to meeting their commitments are evident in our product.
A great team with a great idea is often not enough — you need great backing. And I’ll stack our investors against anyone’s. Our board of directors includes Silicon Valley stars Greylock Ventures, Sutter Hill Ventures and Shlomo Kramer, and provides me the advice and stewardship necessary for rapid growth and long-term success.
2. Big Opportunity: This market is massive — there is no other way to describe it. The volume, velocity and variety of the machine data being generated by applications, networks, servers, mobile devices, etc. is overwhelming IT organizations. And every enterprise needs a way to search and analyze this machine data to troubleshoot application problems, proactively monitor performance and availability, and gain insights about their customers. The machine data explosion, growing at 48% per year, is clearly at the heart of the Big Data revolution.
Now add the cloud to that equation. Today’s on-premise solutions, with their outdated architectures, simply can’t keep up with this explosion in data. People want easy to deploy, highly scalable, cloud-based solutions.
3. Differentiated Product: When I first got into software, I thought you could win with hard work and a good product. I quickly learned that to really be successful you need that “secret sauce” that no one else has, where customers’ eyes light up when they see it. When the Sumo team walked me through the solution, it was clear that this product had the secret sauce. It just “hits” you in the demo—when you realize that all of the hours being spent searching logs and other bits of machine data—that there is a much smarter way to find that needle in the haystack. Moreover, the only way to deal with all of this data is to build an architecture that is elastic at every one of the key processing points so that it can easily handle the terabytes of data per day and still provide analytics in real time. Lastly, the only way to pull off the scale, flexibility and ease of use required is to do it in the cloud, so our customers benefit from the economies of scale and quick time to value we provide.
4. Quick Traction: Ultimately, you can have all the great people and technology in the world. But it’s the market that decides whether you’ve got a winner or not. Since our launch in January, we’ve added customers far faster than we predicted — across three continents, no less. We have active trials in some of the largest, most demanding companies in the world. And our product is winning key industry awards.
In the coming weeks I’m looking forward to hearing from you, meeting many of you, and sharing updates on Sumo Logic and my thoughts on the industry in general. And if you want in on the excitement of solving some of the biggest problems in IT for customers around the world, join us.