This week all eyes were on Google for its annual cloud conference, Google Next 2018, which was held in San FranciscoView in browser »
The New Stack Update

ISSUE 127: Google Next 2018

Talk Talk Talk

“What’s key here is we’re breaking apart the functions that our services do into the smallest possible elements that we can independently deploy and iterate on.”

Eddie Dingels, senior vice president of engineering for WeatherBug.
Add It Up
The serverless community has definitively moved from free-time experimentation to professional usage. Compared to its last year’s survey, Serverless Inc.’s 2018 study found that respondents using serverless at work rose from 45 percent in 2017 to 82 percent in 2018.

Still, the movement has managed to attract many people that had previously not been involved with programming. Twenty-four percent of respondents said they had limited or no experience with the public cloud prior to using serverless. Although it is possible they had used private clouds, a more likely explanation is that the respondents are not programmers and are using low- or no-code solutions to execute business logic.

The New Stack is about to launch its own survey about serverless architectures and FaaS. We look forward to hearing about your own experiences.
What's Happening

The biggest challenge for businesses today is the development of software at speed, at scale. For startups, this may be second nature, but for large enterprises, it's the nature of the beast: the bigger the company, the slower it probably moves. For developers inside of these enterprises, it can be easy to feel left behind. As the world moves on to cloud-based AI, IoT, serverless, event-driven streaming servers, the typical enterprise developer with a monolith, database, and an actual datacenter can easily get a feeling of being old and boring.

Grace Andrews, solutions engineer at New Relic, said that most enterprises have the same problem: speed. Find out more about it in this episode of The New Stack Makers.

Helping Enterprises Move Faster With New Relic's Grace Andrews

Google Next 2018

This week all eyes were on Google for its annual cloud conference, Google Next 2018, which was held in San Francisco. The company launched a plethora of new services for the conference. Perhaps the biggest news for scalable cloud-native computing was the release of Knative, a framework for running serverless jobs across different clouds, and even on in-house servers, using the exact same code base. Launched as a community project, Knative relies on containers, Kubernetes, and the ISTIO service mesh. It already has buy-in from Pivotal, SAP, IBM, and Red Hat and other enterprise-focused companies.

Other releases targeted other needs. The company launched its own fully-managed Kubernetes distribution, called "GKE On-Prem,” which incorporates Knative. Google also took this opportunity to announce the 1.0 version of ISTIO, which the company has been heavily involved in building. On the artificial intelligence front, the company has been busy making machine learning jobs easier, both by adding ML capabilities to its BigQuery data warehousing service, as well as through the introduction of new services aimed to streamline much of the complexities of setting up ML jobs, including the introduction of AutoML Natural Language and AutoML Translation services that can be used to create custom ML models.

Google Cloud may be trailing behind both Microsoft Azure and Amazon Web Services in terms of enterprise adoption, but this show illustrates how the company is working hard to catch up.   

Fight Alert Fatigue: How to Wake Up Your Alerts Strategy

Engineering teams today face a growing imperative to keep systems running smoothly. As a result, a sound alerts strategy is now mission-critical for nearly every engineering team. In this contributed piece, Scalyr’s Steven Czerwinski offers some tips around notifications, thresholds and metrics to help you find the optimum alerts strategy.

Cilium: Making BPF Easy on Kubernetes for Improved Security, Performance

In the world of containers and microservices, Linux security based on iptables and ports just doesn’t cut it anymore, according to Thomas Graf, chief technology officer of Covalent, the company behind the Cilium project. It’s using the extended version of Berkeley Packet Filter (BPF) to improve and simplify visibility, performance and scalability of applications on Kubernetes.

Q&A LinkedIn’s Nikolai Avteniev: Code Review in the Age of DevOps

Earlier this year, LinkedIn engineer Nikolai Avteniev gave a talk at the Software Craftsmanship conference in New York City about the modern code review process and how it’s practiced at LinkedIn. One of the key lessons he imparted was that software must have an “owner” — software that doesn’t have a clearly defined owner will have more bugs. Read all about it here.

On The Road
Serverlessconf // JULY 29 - AUGUST 1, 2018 // SAN FRANCISCO @ THE REGENCY CENTER


Serverlessconf is a community-led conference focused on sharing experiences building applications using serverless architectures. Serverless architectures enable developers to express their creativity and to focus on meeting user needs rather than spend time managing infrastructure and looking after servers. Our aim at Serverlessconf is to discuss how to design, build, deploy, maintain, and gain efficiencies from software built with modern (serverless) cloud technologies. 10% off conference ticket with code TNS10off. Register now!
CI/CD With Kubernetes
Kubernetes helps accelerate software delivery in much the same way containers improve the delivery process. While the benefits of containers in the DevOps, continuous integration, and continuous delivery pipelines will be familiar, many developers and DevOps teams are still figuring out how to best implement Kubernetes. In this ebook, we’ll explore use cases and best practices for how Kubernetes helps facilitate continuous integration and continuous delivery.
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