Cindi's Weblog
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Thursday Mar 12, 2009
Today's release of the Series 7000 software (1.0.4) update includes significant fixes for disk hotplug and cluster rejoin and restart. See the Fishworks wiki or the Sun Download Center for more details on the specific issues addressed.
Friday Mar 06, 2009Continuing on our path to perfection, the next software
update for the Sun Storage 7000 series was released today. The update
is applicable to all Series 7000 platforms and
contains a critical fix for the CIFS server. Customers using the CIFS feature are
strongly encouraged to update their 7110, 7210, and 7410 systems to
ak-2008.11.20.1.1.
Downloads are available from the Sun Download Center. A matrix of our software update releases for the Series 7000 may be found on the Fishworks wiki. The matrix includes additional release information and a list of bugs fixed in each release. Wednesday Feb 11, 2009The second software update for the Sun Storage 7000 series was released today. The update is applicable to all Series 7000 platforms and
contains a critical fix for the IPv6 network stack and addresses some problems in the NDMP back-up service. Customers using IPv6 for network connectivity or NDMP for back-up are
strongly encouraged to update their 7110, 7210, and 7410 systems to
ak-2008.11.20.1.0.
Downloads are available from the Sun Download Center. A matrix of our software update releases for the Series 7000 may be found on the Fishworks wiki. The matrix includes additional release information and a list of bugs fixed in each release. Tuesday Jan 13, 2009The first software update for the Series 7000 was released yesterday. The update is applicable to all Series 7000 platforms and contains a critical fix for the CIFS server. Customers using CIFS are strongly encouraged to update their 7110, 7210, and 7410 systems to ak-2008.11.20.0.1.
Downloads are available from the Sun Download Center. A matrix of our software update releases for the Series 7000 may be found on the Fishworks wiki. The matrix includes additional release information and a list of bugs fixed in each release. Tuesday Dec 02, 2008So what does a project like Fishworks look like? I put together a visual representation of the Fishworks project using Code Swarm that has been captured in a video. The video shows how the Fishworks team and project evolved based on changes made to the source code over the course of two and half years. The code swarm tool uses organic visualization techniques to model the history of a project based on source code files and their relationship to the developers that create and modify them. It's a very cool tool and a bit addictive. There are a number of code swarm project visualizations available online. The OpenSolaris and Image Packaging System (IPS) projects have been represented by Code Swarm based on raw commit data made to each project. The OpenSolaris Code Swarm pulses as a single blob of source as developers come and go within the orbit of a vast code base. In contrast, the Fishworks project shows well-defined orbits surrounding each developer. This is a testament to the almost constant activity of a small number of developers on a well-partitioned source base. I have elided gate re-synchronizations to better represent the project and the contributions of each developer. This avoids single bursts of activity by what seems to be one developer as seen in the IPS Code Swarm. Fishworks CodeSwarm from John Danielson on Vimeo Code Swarm runs natively in Subversion and Mercurial repostitories. The Fishworks project source base was controlled by SCCS with logs created by Teamware. I converted the Teamware 'putback' logs to the Code Swarm input XML format . I do wonder how the visualization would change if I accounted for lines of code changed per file. I might be able to use Eric's code tracking script to generate suitable input. In the meantime, enjoy the show. Monday Nov 10, 2008Fishworks is the name of a team of engineers at Sun Microsystems. The FISH in Fishworks is an acronym for Fully Integrated Software and Hardware and is the underlying software that unites operating system functionality, a pleasing user interface,
and hardware capabilities to create a plug-it-in-and-it-just-works
experience for appliances such as that found in the new Sun Storage 7XXX product line. At the top of the Fishworks appliance stack is a new user interface. A single AJAX based development environment supports a web In some sense, Fishworks was born some 8 years ago with some key innovations that went into Solaris 10 for storage (ZFS), observability (DTrace), management (SMF), and RAS (FMA). These technologies delivered the right set of abstractions and capabilities necessary to build our appliance software. The Fishworks software stack uses these technologies and other operating system libraries to create the environment in which users and administrators interact via the UI. The control point for appliance operation, configuration, and management is not the operating system but rather the Fishworks appliance software. The operating system can be thought of as the "micro-code" in our software stack and the appliance software controls base operating system functions and hardware for a simple, just-works experience. As an example, all distinct functionality is expressed as a SMF service in Solaris 10. The appliance software uses The Fishworks software is designed to be extensible and applicable to other types of appliances. New appliance prototypes may be created by simply adding a new "class"
and the necessary metadata to describe features and purpose. Over the last few months, I've prototyped a couple of non-storage appliances. I was amazed by how quickly I had a functioning appliance up and running. You can imagine how powerful this is going forward. We now have the foundation to rapidly build new fully integrated systems and I'm really excited to continue work on some new prototypes and look for ways to build on the current developer environment. If that wasn't enough, I get to work with an incredibly talented bunch of people. Cindi Friday Jun 08, 2007Just today, I posted the first draft of the Sensor Abstraction Layer design document. The project addresses the problem of aggregating and analyzing telemetry exported by disparate sources such that the results may be observed via standard interfaces. The basic design is composed of three distinct sub-layers: a provider layer, a collection layer and a analyzer layer. At the lowest level, the provider layer exports interfaces to read sensor or statistical values without having to understand the implementation details of the subs-system exporting the telemetry.
Telemetry data is logged according to collection parameters established for a collector . Sensor telemetry is passed from collectors to the analyzer layer for the purpose of online analysis. For example, we may want to collect telemetry for our network sub-system based upon GLD-aware NIC driver kstats, protocol-specific errors and memory usage as seen in netstat(1M) to help predict unhealthy hardware or software or to ensure QOS guarantees. We can use many of the concepts and the infrastructure developed for the Solaris Fault Manager. For example, telemetry data can be passed as FMA standard events and logged using the Extended Accounting format developed for the errlog and fltlog. We can also leverage the fmd(1M) tool set to observe telemetry logs and analysis results.
Hope to have more details soon...
Cindi
Friday May 04, 2007The Solaris Fault Management Architecture has come a long way since Mike Shapiro and I started talking about it way back in 2001. We started out with a bang as the industry leader in fault management technology:
The members of our original development team have changed along the way, but our commitment to improving the architecture and adding new content remains steadfast. Since the introduction of FMA in Solaris 10, additional content has been added to support new platforms and extend FMA concepts into other subsystems. Just look at what we've delivered since S10 was released a short 2 years ago:
Enables all detector banks and sets all documented MCi_CTL bits Full machine-check and error-poller handling for all error types documented in the BKDG Diagnosis engine rules for all error types Response agent: core offline, page retire
Diagnostic correlation based on transmit/receiver error information Connections to platform machine-check error handling Connections to FMA-aware leaf drivers for increased availability and diagnosability Diagnosis engine rules for all error described in PCI-E Base Specification
Generates SNMP traps (notifications) for FMA diagnosis FM MIB permits additional details by UUID
Web browsable interface to view 3730 FMA Events 338 FMA Knowledge Articles CLIs to extract event payload and message content
Updated WDD chapter for writing FMA-aware drivers
Infrastructure to inject errors in a simulation environment What's best is that Solaris FMA is getting noticed and showing real benefits. The Sun Service organization estimates that platforms shipping without FMA support can cost $252 per-unit per-year. Let's do the math...if Sun sells 100,000 units per year that means after 3 years, Solaris with FMA is saving Sun $75,600,000. 100000 units per year x $252 per unit x 3 years = $75,600,000 I don't know about you, but I wouldn't mind saving $75,000,000.00 a year. A paper presented by Mike Shapiro and Dong Tang at the Dependable Systems Network 2006 demonstrated a decrease in annual system downtime by 37-54% using quantitative analysis of the FMA memory retirement capabilities. InfoWorld gave Solaris FMA a nod by awarding our team members its 2005 Innovation of the Year Award. So, what are we working on now? Well, we are continuing to deliver on the promise of Predictive Self-Healing. Work is on-going to support out-the-door fault management capabilities for new processors, platforms and I/O subsystems. With the announced support for Intel on Solaris (or is it Solaris on Intel?), we are busily working on a FMA implementation for Intel processors. Solaris will be the first OS to take full advantage of industry-leading x86 processor error handling features. In the I/O space, we are beefing up leaf drivers, adding FMA error handling and diagnosis for SCSI problems and using SMART disk data to actively predict impending disk failures for all platforms. The Xen project gives us an opportunity to deploy a FMA in a virtualized environment. We'll take some of the infrastructure we delivered for LDOMs and use it to connect hypervisor error handling to a DOM0 diagnosis environment. But that's not all...we are looking at ways to use sensor telemetry to offer better fault prediction, manage resource guarantees and power budgeting. On the software front, we are modifying the techniques we've used to diagnose hardware problems to be useful for software diagnosis. This is a huge under-explored area that will keep Solaris in the fore-front with leading-edge availability and serviceability. Stay tuned, we're not done with FMA just yet. Cindi |
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