Wednesday, April 28, 2021

Expanding Open Source in the Cloud

Heikki Nousiaine (@hnousiainen, Founder/CTO at @aiven_io) talks about how Aiven delivers a broad set of open source data and messaging services via the public cloud, as a managed service. 

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Topic 1 - Welcome to the show. Before we dive into the work you’re doing to expand open source innovation, let’s talk about your background. 

Topic 2 - Let’s talk about Aiven and the services it provides - all the most popular open source “data-centric” projects (Kafka, Cassandra, Elasticsearch, PostgreSQL, MySQL, Redis, InfluxDB, Grafana), on top of AWS, Azure, GCP, DigitalOcean and UpCloud - plus a bunch of popular integrations (logging, monitoring, authentication, etc.)

  • SRE / Support Models
  • Pricing Models
  • Integrating with the underlying cloud

Topic 3 - How do you typically engage with customers / developers? How much work is typically needed to get those teams initially successful with a given service?

Topic 4 - How does Aiven think about the cloud “shared responsibility model”, in terms of where Aiven’s service stops and the customer's engagement starts? Who is responsible for the data?

Topic 5 - What open source projects are on your radar for adding new services?

Topic 6 - As more technology companies are migrating applications to the cloud, or creating SaaS offerings, are there opportunities for companies to partner with Aiven on the breadth of services you offer? 


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Sunday, April 25, 2021

If Kubernetes is Boring, What's Next

As Kubernetes evolves beyond 5yrs of adoption, many say that it is becoming “boring”.  So where does the popular open source project and community go next? 

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If Kubernetes is boring, what’s next for Kubernetes?

  1. Kubernetes has now shipped 21 releases, which is nearly as many as OpenStack (24 releases), and more than VMware vSphere (12-15 releases).
  2. Kubernetes is shifting from 4 releases a year to 3 releases a year. 
  3. On average, 170-180 companies are contributing monthly. 
  4. It’s widely available both in private cloud and public clouds
  5. Large percentage of larger companies have projects running on Kubernetes
So what might be next? 

  1. To some extent, the projects surrounding and adjacent to Kubernetes are gaining attention and momentum - Serverless, Service Mesh, Multi-Cluster Management Tools, Security Tools, Operators, Helm Charts
  2. Kubernetes is being used across Private Clouds, Public Clouds, a variety of Edge use-cases, and is gaining adoption by Telcos for 5G/Edge use-cases.
  3. Beginning to see some thinking and frameworks around how to use Kubernetes as a Hybrid/Multi-Cloud control plane, not just for Cluster deployment. 
  4. Edge use-cases are interesting, since Edge has so many varied deployment models   - Does Kubernetes need to be miniaturized? Does Kubernetes ship too often?
  5. AI/ML/Analytics use-cases are exploding as most frameworks are making Kubernetes the default orchestration framework.
  6. Gitops is starting to gain some momentum as an automated, single-source-of-truth management model for Kubernetes clusters and application deployment.
  7. The new way of companies using the public cloud are now trying to figure out how to manage Cloud costs, especially as Kubernetes drives more self-service engagement with platforms.

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Wednesday, April 21, 2021

Why Silicon Matters in the Cloud

Garry Binder (@garrybinder, Chief Security Architect @Intel) talks about the challenges of public cloud scale, performance and security.

SHOW: 508

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SHOW NOTES:


Topic 1 - Welcome to the show. Before we get into today’s discussion, give us a little bit on your background and some of the areas you focus on.  

Topic 2 - We’ve done quite a few shows with Intel over the years. This is where we were first introduced to how much work Intel does directly for the largest public cloud providers. Can you give us a sense of how much Intel has evolved to help the cloud providers deliver the scale and performance they do today? 

Topic 3 - A few months ago we spoke about Confidential Computing. We all know that security is a challenge best solved with defense-in-depth. Can we talk a little bit about the intersection of embedded security in silicon, and being able to keep up with new performance challenges with the new Ice Lake architecture? 

Topic 4 - How do we raise awareness that these native capabilities are available across all the cloud providers - AWS, Azure, Google, Oracle, etc., when software features tend to dominate the headlines? 

Topic 5 - What do you see as some of the next-generation security challenges that the cloud is well-positioned to (maybe) better handle that we could in data centers?

Topic 6 - Sometimes people see Intel as being one-step removed from the technology companies they directly engage with. What are some of the ways that people can more directly engage in all the programs (developer tools, reference architectures, etc.) that Intel creates?


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Sunday, April 18, 2021

10 Lessons for Surviving the Tech Industry

Over the course of a career, you'll have to make critical decisions about jobs, managers, salaries, technical vs. business focus, and career paths. These 10 tips can help to make better decisions. 

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10 Lessons for Surviving the Tech Industry

  1. Early in your career, get a certification, and work on something mainstream. Give yourself some foundations to build upon. 
  2. Early in your career, it’s OK to take risks on companies, if you are able to get a lot of experience (either breadth or depth).
  3. Most people in tech don’t have a huge cash-out (IPO, Acquisition, etc.), but if you do, bank it to give yourself options (future savings, job hopping, change of career, etc.)
  4. Have a side hustle. Have a mix of business and technical skills.
  5. Always be learning something new. Being able to learn new stuff is the skill. 
  6. Find a community of people (online or live) that can be mentors, sounding boards, or just “trusted” people. 
  7. Find managers that support you, encourage you, and promote you. Sometimes ride with them on the next journey.
  8. Title, salary, job scope or location…..you can only pick 2 (maybe 3Most people leave bad managers, not the company. 
  9. Work/Life balance is really hard to find. There’s no right answer, it’ll come and go in waves. Ride waves when they come, because they don’t always come back. 
  10. Work on your communication skills. 


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Wednesday, April 14, 2021

Managing Unstructured Data in the Cloud

Paige Hinckley, (Sr. Director Global Alliances & GTM @Qumulo) talks about the evolution of scalable file and unstructured data in the public cloud. 

SHOW: 506

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SHOW NOTES:


Topic 1 - Welcome to the show. Before we jump into discussing data in the cloud, let’s talk a little bit about your background, as you’ve been at the center of several recent technology transitions? 

Topic 2 - Let’s start by understanding how the use of file data has changed over the years. So many applications involve video, or huge data lakes for analytics, or massive content repositories for research. How has the scale evolved over the years? 

Topic 3 - Qumulo does some very unique things around scalability and performance that are very critical for industries like media/entertainment, healthcare, research. What are some of the use cases that best take advantage of Qumulo Q Cloud? 

Topic 4 - As you work with companies moving file data to the cloud, what are some of the tips and lessons you’ve seen that lead to faster success? 

Topic 5 - How does Qumulo work with partners in the tech industry to bring your innovation to customers?


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Sunday, April 11, 2021

Lessons Learned from docker

The docker project evolved out of the PaaS movement, unlocking polyglot cloud-native applications. But it was only a piece of the puzzle to enable platforms, applications and a broader ecosystem. What lessons can be learned from the docker ecosystem?

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HOW DID docker/DOCKER EVOLVE?

Between 2008 and 2013, dozens of PaaS platforms emerged. Within the platform, they all had a model for allocating compute resources, mostly through the use of Linux LXC and cGroups -- what would become containers. dotCloud was the PaaS company started by Solomon Hykes that eventually became Docker. 

LESSONS LEARNED FOR THE FUTURE

  • Containers were a fundamental building block for next-gen applications and platforms.
  • Docker/docker created a massive community of users, but frustrated the ecosystem of partners. 
  • Project / Company naming conflicts are very hard to resolve (“docker” vs. “Docker”)
  • Successful ecosystems allow a broad set of participants to monetize different elements of the technology. Not having a monetization model is not a good plan. 
  • Docker was the last software company to not monetize through offering a managed/SaaS cloud service. 

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Wednesday, April 7, 2021

DevOps Efficiency through Integration

Brendan O’Leary (@olearycrew, Sr. Dev Evangelist @GitLab, CNCF Board) talks about Developer Productivity, how to improve flow, integrated tool chains, and tips to improve organizational dynamics.  

SHOW: 504

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SHOW NOTES:


Topic 1 - Welcome to the show. Software supply-chains have been in the news quite a bit lately. Before we get into that, tell us about your background and what gets you passionate about developer productivity? 

Topic 2 - Let’s talk about “the State of Developer Productivity” in 2021. What are developers able to do well, and where are their big bottlenecks today? 

Topic 3 - I constantly get questions of “do we fix this with better tools, or better organizations. I’m pretty sure the answer is a combination of both, but do you see one side or the other having a bigger impact? 

Topic 4 - GitLab does a very good job bringing together the tools developers need across the software-supply chain. When do you see an integrated “platform” gain more adoption, and when does the developer desire for “pick our tools” tend to stay in place?   

Topic 5 - Is the Solarwinds hack making a lot of companies rethink how they build software? 

Topic 6 - What are some of the best tips you have to help developer teams get more efficient, more productive? 


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