Tonight's menu: Kubernetes; amped app performance, distributed databases & Thai!

Hosted by Bay Area In-Memory Computing Meetup

Public group
Bay Area In-Memory Computing Meetup
Bay Area In-Memory Computing Meetup
Public group


68 Willow Road · Menlo Park, CA

How to find us

Come to the bar!

Location image of event venue


Join us Aug. 23 in Menlo Park for our next gathering of the Bay Area In-Memory Computing Meetup!

We'll be serving hot Thai cuisine and cold beverages and raffling off some cool gadgets along with all-access tickets to the In-Memory Computing Summit, Oct. 2-3 in Burlingame.

This meetup, as always, is free but you must RSVP to participate.

Let's take a look at the speaker lineup:
* Denis Magda, director of product management at GridGain Systems
* Roland Lee, head of products at Heimdall Data
* Sam Drake, architect of the Oracle TimesTen In-Memory Database

* 6 p.m. -- Dinner is served! Sumptuous Thai cuisine (prepared by Bootup's on-site executive chef) along with an assortment of cold beverages
* 6:10 p.m. -- opening remarks (Tom Diederich).
* 6:15 p.m. -- Talk 1 (Denis) "Best Practices for Deploying Distributed
* 6: 45 p.m. -- Talk 2 Databases and In-Memory Computing Platforms with Kubernetes" (Roland) "Increase Application Performance with SQL Auto-Caching; No Code Changes"
* 7: 15 p.m. -- Talk 3 (Sam) "What Makes an In-Memory Database Different?"
* 7:50 p.m. -- raffle drawings (enter the raffle here: ) See the bottom on the page for raffle prize details.
* 8 p.m. Finis

>> Talk one: Denis will explain how Kubernetes can orchestrate a distributed database or in-memory computing solutions using Apache Ignite as an example. He'll demonstrate how to:

* Deploy, provision and manage an IMDG or IMDB when you wish to keep data in RAM
* Set up and manage persistence for the in-memory technologies above or configure a disk-based distributed database
* Set up auto-discovery and automated horizontal scalability, and use other tricks for high availability

>> Talk two: (Roland): Configuring caches is complex. Engineering teams spend a lot of resources as it requires manual intervention (i.e. what to cache and invalidate) which is risky. In this session, you learn about the concept of a Database Proxy, talk about the various solutions in the market today and show you a demo.

One such proxy is Heimdall Data. It provides granular SQL analytics while safely auto-caching into the cache of your choice (e.g. GridGain, Redis, Elasticache, Hazelcast). There are zero changes required for your existing application or database.

>> Talk three: (Sam) In-memory databases are all the rage. But what makes them different than traditional databases? This presentation will discuss what makes in memory databases special and how you can best take advantage of them using examples based on the Oracle TimesTen In-Memory Database.

* * *
Raffle prizes!
>> 1st prize: GOTRAX Hoverfly (self-balancing) Hover board!
>> 2nd prize: Nintendo Classic Mini: Super Nintendo Entertainment System (Europe)! Not Region Locked (Select from MANY different languages). Includes 21 games... Star Fox (and the unreleased Star Fox 2!), Super Mario World, and many others.
>> 3rd prize: Atari Plug & Play Joystick. Includes 10 classic Atari video games! (Adventure, Asteroids, Breakout, Centipede, Missile Command & more).