Software Developer

Tyler Anderson

tyler@tyleranderson.dev
1-415-630-0302

3757 Market Street, San Francisco, CA, 94131, USA

Experienced Software Developer seeking a small, nimble team to make useful things.

Python, JavaScript, Shell Scripting/BASH, Redis, Docker, AWS, PHP,
Perl, HTML, CSS, Apache, Linux, OS X, Windows, Lucene/Solr, MySQL,
Postgres, MongoDB, ElasticSearch, Splunk, Fluentd


Riverbed Technology, San Francisco
2004-2019


Riverbed Engineering Infrastructure Development
2011-2019, Engineering Analytics

Experienced Software Generalist responsible for designing, developing, and
maintaining tools that provide insight into the function, reliability, and
customer usage patterns of Riverbed's products. The tools saw heavy usage by
engineering during the initial design and development of a new product line or
feature and then transitioned into a long life with the Riverbed sales and tech
support teams.

I set up and coded complete systems from the data collection on the client,
through backend storage and processing, to the final display in a browser. I
continued my support after development and trained other engineers to maintain,
extend, and use the tools.

Some highlights include:

    Performance & Trouble Monitoring

    Monitors a live stream of logs, config data, and performance metrics
    from Riverbed SDWAN products installed in customers' networks. Split
    live datastreams to feed multiple in‑house and third‑party processing
    applications. Adjustable granularity reserves expensive compute resources
    for critical accounts, but all data is stored in S3 for a detailed,
    retroactive analysis when a problem is detected.

    Easy to use plug-in modules for data collection unburden developers and
    encourage structured logging, simplifying long term product support.

    Python, Perl, AWS, Docker, Fluentd, JavaScript, HTML/CSS

    Product Usage Analyzer

    Customizable views of Riverbed's products in the field. The visual
    charts and reports provided by this tool determine the focus of QA,
    prioritize the roll out of product lines and new features, and sharpen
    sales programs targeting existing customers likely to upgrade or expand.

    Receives daily reports from over 100k appliances. Allows user discovery
    through a fast, context-sensitive autocomplete. Creative backend query
    management provides a noticeable speed increase. Tool allows users to
    create and share custom dashboards.

    Python, AWS, Postgres, Redis, JavaScript, Knockout.js, HTML/CSS

    Sysdump Analyzer

    Automated analysis of sysdumps generated by a user's action, or in
    response to an event, like a process crash. Modular design parses large,
    free form dump texts into JSON for further analysis and display on
    internal and customer-facing support portals.

    Highlights out-of-bounds values. Stacktrace matching automatically
    opens support cases and bugs for known or emerging problems. Support
    staff can subscribe to data streams by product line, customer, support
    case, or serial number. A portable version is available for use in
    secure locations like financial institutions or Federal sites.

    Python, JavaScript, MySQL, HTML/CSS, Postfix

    Historical Timeline

    Aggregates key appliance or account information from disconnected internal
    and external applications into a single scrollable, zoomable, timeline
    graphic. Support cases, system dumps, software upgrades, reboots, and
    RMAs are all visually flagged.

    Python, JavaScript, MySQL, HTML/CSS, Oracle, Salesforce


Riverbed Hardware Platforms/OEM
2008-2010, QA Technical Lead
2006-2008, QA Engineer

Distributed workload across team members. Determined time, equipment, and
personnel requirements for testing and qualification of internally designed
and off-the-shelf servers and individual components, such as USB flash devices,
compact-flash memory cards, SSD, HDD, RAM, CPU, cooling fans, power supplies,
fiber network interface cards, PoE, and hardware and software RAID.

Designed and developed scripts for bug reproduction, performance testing, and
UL certification of Riverbed appliances. Assisted early adopter customers and
critical accounts with hardware upgrades and restoration of software. Reviewed
customer-facing technical documentation.

Python, Bash, MySQL, HTML/CSS, TCL/Expect, Perl


Riverbed Sales Operations
2004-2006

Designed, developed, and maintained an application used by senior management
and sales staff to track inventory and order statuses during Riverbed's start‑up
phase. It was replaced by an Oracle installation sometime after the RVBD IPO.

The system automatically dispatched orders to contract manufacturers for
processing and shipping, and notified the customer and sales staff with
tracking information.

PHP, JavaScript, MySQL, HTML/CSS