Showing posts with label SaaS. Show all posts
Showing posts with label SaaS. Show all posts
Wednesday, October 23, 2019
Wednesday, March 20, 2019
Monday, December 31, 2018
2018 Year in Review
Labels:
AWS,
Azure,
Bitcoin,
Blockchain,
Gartner,
GCP,
HCI,
Kubernetes,
Open Source,
SaaS
Wednesday, August 15, 2018
Thursday, March 29, 2018
Friday, September 1, 2017
Friday, June 30, 2017
Friday, June 9, 2017
Friday, February 10, 2017
Tuesday, January 24, 2017
Friday, August 19, 2016
Thursday, July 14, 2016
Wednesday, June 22, 2016
Thursday, June 16, 2016
Thursday, May 12, 2016
Friday, November 6, 2015
Wednesday, August 19, 2015
Sunday, March 29, 2015
The Cloudcast #184 - Streaming Analytics for Distributed Applications
Projects of the Week - None this week
- SignalFx Website - https://signalfx.com/
- SignalFx REST API - https://support.signalfx.com/hc/en-us/articles/201270489
- TheNewStack covers SignalFx launch - http://thenewstack.io/signalfx-a-saas-to-monitor-apps-at-any-scale/
Topic 1 - Came out of Stealth recently (3/12), Give a quick overview of the company and the problem you are trying to solve… Given what SignalFx offers, it’s important to understand the people behind it. Let’s start with the background of the team - lots of large, webscale, distributed system background. [how much is “productizing lessons learned”?; how much is “the will be different in 5yrs”?]
Topic 2 - What does streaming analytics mean? Why do companies care about getting analytics faster? Why build an analytics engine to solve a monitoring problem?
Topic 3 - You mention (intro video) that you’re a company that builds services for distributed systems, which are run by product teams, not IT. You were previously at VMware. Can you talk about the different mindset those product teams have vs. IT teams, especially how SignalFx takes their ideas and feedback?
Topic 4 - Walk us through how your customers interact with your service? Where do metrics come from (app, message queue, etc)? How do you secure that API interaction? How are metrics different from logs or events?
Topic 5 - In the same vein as the shift from IT to the Product Groups, your co-founder mentions that Developers are closer to production than ever. What does that mean to the evolution of tools and overall psyche of application developers?
Labels:
Cloud Analytics,
Cloud Computing,
Cloud Monitoring,
CloudFx,
Karthik Rau,
Metrics,
SaaS
Saturday, March 21, 2015
The Cloudcast #183 - Container-Centric Application Deployments
Topic 1 - It’s unusual for us to have guests from different companies, but your stories have commonality. But let’s talk about both of your backgrounds (and company backgrounds) first.
Topic 2 - When I was watching this video of Khash (Cloud 66) at this Hacker News meetup in London, it looked to me like a concept I call “unstructured PaaS”, which is sort of a DIY PaaS, with the best-of technologies.
Topic 3 - We’re curious to learn more about ContainerNet, that is the backbone for the container networking of Cloud66 (using Weave technology) and how it really works.
Topic 4 - Both of you are at the forefront of this transition of container-centric application deployments. Where do you see the maturity in the market and what are the next big opportunities?
Topic 5 - You both seem to believe in the model of modularity for these new architectures. Beyond “giving customers choice”, what are the big focus areas in building elements of these modular architectures?
Topic 6 - What are some of the tangible business advantages that you’ve heard from customers when it comes to choice and modularity in this container-centric application model?
Wednesday, February 25, 2015
New ByteSized DevOps Podcasts - Logging, Monitoring and Application State
A few weeks ago we introduced the ByteSized DevOps Podcast series. Initial feedback from the community was very strong, so we've decided to do some more. We plan to release a few every week or two. Let us know what topics you'd like to see covered.
Monitoring and Logging
Stateful vs. Stateless Apps
Monitoring and Logging
Stateful vs. Stateless Apps
Labels:
DevOps,
Logging,
Monitoring,
Open Source,
SaaS,
Scale-Out,
Stateful,
Stateless
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