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“We don’t expect individual projects to be legitimately ‘multicloud’ (where a single application runs in multiple environments) but we can expect to see organizations looking for a common set of tools and capabilities that allow them to build and run applications in a second or third cloud environment.”
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SecOps Spends Its Day Monitoring
Developers, Security and Operations. DevSecOps. The operations part of the term usually refers to IT operations. However, today narrows in on SecOps who work in security operations centers (SOCs) and cyber incident response teams (CIRTs). The Cyentia Institute’s survey of 160 of these security analysts shows they face some of the same challenges developers and IT operations teams do. They spend more time on monitoring than any other activity, but they much rather solve problems and “hunt” new threats. SecOps do not like reporting, nor do they like something called Shift Ops, which is the actual details of change control and making sure the team doesn’t burn out. Given the shortage of information security professionals, it is concerning that only 45 percent of respondents said their job experience was meeting their expectations.
Cyentia suggests that automation can reduce the time spent on monitoring, letting analysts focus on intrusion prevention and threat intelligence. This is likely true, especially if the monitoring is being done at scale at a managed security service provider (MSSP). Yet, like DevOps, SecOps is also looking to make their dashboards more actionable, using AI to screen out unimportant noise.
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For this episode of The New Stack Makers, we talk with Steve Herrod, a venture capitalist at General Catalyst, where he focuses on infrastructure. He recently published an article on LinkedIn called “Cloud vs. Edge – This is Not a Cage Match.”
Hear how existing companies are like elephants, where Herrod looks for engineers to staff his startups, recommendations for existing companies wanting to update their stacks, what he sees as the trends for 2018, and which two things about serverless fascinate him.
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Big Data in the Big Apple
We captured a lot of database news that came out of New York this week.
On Monday, we caught up with database giant Oracle at its Cloud Day event. If there was any doubt that Oracle is serious about the cloud, those days are over. In his event-opening keynote, Oracle CEO Mark Hurd predicted that by 2025, there will be 80 percent fewer data centers than today, that 80 percent of IT budgets will be spent on cloud services, that dev/test will be done in the cloud, and that all enterprise data will be stored in the cloud. He also predicted that Oracle would be the choice for all these enterprises migrating their ops to the cloud, thanks to the company’s deep engineering expertise and robust channel network.
Although the company has been late to the cloud game, Oracle is making up speed quickly. Last September, it launched a cloud-based “Autonomous Database.” Oracle uses “Autonomous” to convey that software will be automatically upgraded and patched, with no downtime to the user. It also means that users will be able to grow and shrink the processing and storage resources based on their actual demand.
This week, the company expanded on the autonomous concept, launching Oracle Autonomous Data Warehouse Cloud Service for analytics, Oracle Autonomous Database OLTP for transactional and mixed workloads, and Oracle Autonomous NoSQL Database for fast, massive-scale reads and writes.
We also got the chance to catch up with time-series database provider InfluxData, a sponsor of The New Stack, at that company’s Influx Days event Tuesday. The company has just closed a $35 million Series C round of funding led by Sapphire Ventures, which funds category-leading growth technology companies. Round participants included new investor Harmony Partners, and existing investors Battery Ventures, Mayfield Fund and Trinity Ventures.
How will the company use the money? The company plans to double its workforce, including doubling the number of engineers working on the company’s flagship InfluxDB open source time-series database, InfluxData CEO Paul Dix told us. Influx is doing a big push towards InfluxDB 2.0, a major upgrade that it plans to release by year’s end. New enterprise features include multi-tenancy and metadata support, the later allowing users to better pair time-series material with other data. It will also formally introduce a new database query language, called IFQL, designed specifically for investigating time-series datasets.
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Monitoring microservices effectively still can be a challenge, as many of the traditional performance monitoring techniques are ill-suited for providing the required granularity of system performance. Now a former Google and Weave engineer have developed an approach, called the RED Method, that seems to be helping with the task.
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Buoyant’s William Morgan delves into the history of the service mesh. The idea of a service mesh is still a fairly new concept for most people, so it may seem a little funny to already be talking about its history. But at this point Linkerd has been running in production by companies around the world for over 18 months — an eternity in the cloud-native ecosystem — and we can trace its conceptual lineage back to developments that happened at web-scale companies in the early 2010’s. So there’s certainly a history to explore and understand.
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Many developers have included learning ML in their new year resolutions for 2018. Janakiram MSV has put together this guide on where to get started, pointing out the basic concepts in math, programming languages and algorithms to get started.
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THURSDAY APRIL 19, 2018 // BOSTON CONVENTION CENTER, ROOM 254-B
Cloud Foundry Summit
Join us in Boston for the first stop on the 2018 TNS Pancake Breakfast world tour as we discuss how Cloud Foundry and Kubernetes are growing up. How do developers and users spend their time now that open source software projects are giving them such a hand in building applications at scale on open common platforms? That’s just a taste of what we’ll chat about over carbs and conversation at the Boston Cloud Foundry Summit. 20% off with code CFNA18TNS. Register Now!
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The key to successful deployment of Kubernetes lies in picking the right environment based on the available infrastructure, existing investments, the application needs and available talent. Depending on whether Kubernetes is deployed on premises, on a single cloud provider, hybrid cloud or multi-cloud, users will face different technical challenges and will need a different set of tools for deployment. These factors also affect how operations teams approach security with Kubernetes, and it’s critical to understand security in the context of these environments.
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We are grateful for the support of our ebook foundation sponsor:
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