In October of last year, I joined Sumo Logic to lead sales and go-to-market functions with the goal of successfully launching our newly established Japan region in Tokyo. The launch was highly received by our customers, partners, prospects and peers in the Japanese market and everyone walked away from the event optimistic about the future and hungry for more!
I made the trip up to Seattle for KubeCon North America at the end of 2018 along with a bunch of us from Sumo Logic. KubeCon is a conference that specializes in all things Kubernetes and focuses on updating the world on the state of the Kubernetes ecosystem. This year’s event was massive with 8,000 attendees, and talks given by representatives from Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure to name a few big wigs that were there.
As discussed in our previous post, we recently had the opportunity to present some interesting challenges and proposed directions for data science and machine learning (ML) at the 2018 Scale By the Bay conference. While the excellent talks and panels at the conference were too numerous to cover here, I wanted to briefly summarize three talks in particular that I found to represent some really interesting (to me) directions for ML on the java virtual machine (JVM).
We finally made it to another new year, and that means it’s time to reflect on the learnings from the previous year while also preparing for many new opportunities and challenges ahead. The enterprise tech and security industry didn’t seem to slow in 2018, so there’s no reason we would expect 2019 to be any different. So what will those “hot button” topics be this year?
In this latest SnapSecChat video series, our CSO, George Gerchow, talks about the imperative for building the next-gen security operations center (SOC) of the future. Why? Because today’s IT landscape is becoming increasingly complex and cloud-based.
This year, at Sumo Logic’s third annual user conference, Illuminate 2018, we presented Sumo Logic Notebooks as a way to do data science within the Sumo Logic platform. Sumo Logic Notebooks integrate Sumo Logic data, data science notebooks and common machine learning frameworks.
It finally happened. At the start of DockerCon Europe and a week before KubeCon was set to take place in the U.S., researchers discovered the first major vulnerability within Kubernetes, the popular cloud container orchestration system.
Data science and machine learning have gotten a lot of attention recently, and the ecosystem around these topics is moving fast. One significant trend has been the rise of data science notebooks (including our own here at Sumo Logic): interactive computing environments that allow individuals to rapidly explore, analyze, and prototype against datasets.
To gain a better understanding of the adoption and usage of machine data in Europe, Sumo Logic commissioned 451 Research to survey 250 executives across the UK, Sweden, the Netherlands and Germany, and to compare this data with a previous survey of U.S. respondents that were asked the same questions. The research set out to answer a number of questions, including: Is machine data in fact an important source of fuel in the analytics economy?
Today at Amazon Web Services (AWS) re:Invent we announced some new applications and integrations with popular AWS services, including the newly-released AWS Security Hub, AWS WAF and AWS Aurora for MySQL and PostgresSQL.
