What’s New in SPM 1.13.0

We pushed a new SPM release to production this morning and it’s loaded with goodies.  Here is a quick run-down of a few interesting ones. The slightly longer version can be found in SPM Changelog:

PagerDuty integration. If you are a PagerDuty user, your alerts from SPM can now go to your PagerDuty account where you can handle them along with all your other alerts.

Ruby & Java libraries for Custom Metrics.  We open-sourced sematext-metrics, a Ruby gem for sending Custom Metrics to SPM as well as sematext-metrics for doing the same from Java.

Coda Metrics & Ruby Metriks support.  We open-sourced sematext-metrics-reporter, a Coda’s Metrics reporter for sending Custom Metrics to SPM from Java, Scala, Clojure, and other JVM-based apps, and we’ve done the same for Metriks - the Ruby equivalent of Coda’s Metrics library.

Puppet metrics. We begged James Turnbull to marry Puppet and SPM and write a Puppet report processor thats sends each of the metrics generated by a Puppet run to SPM, which he did without us having to buy him drinks….yet.

Performance.  We’ve done a bit of work in the layer right behind the UI to make the UI a little faster.

CentOS 5.x support.  Apparently a good number of people still use CentOS 5.x, so we’ve update the SPM client SPM to work with it.  You can grab from SPM Client page.

@sematext

What’s new in SPM 1.12.0

We’ve been very heads down since our last official release of SPM, as you can see from our SPM Changelog.  Here is some more info about new things you’ll find in SPM:

  • For the impatient – there is now a demo user (click on this and you will be logged in as the demo user).  This lets you into both SPM and Search Analytics even if you don’t have an account, so you can see  reports for various types of SPM Apps as well as what Search Analytics reports are like.
  • The SPM Client (aka SPM Agent) can now be installed as an RPM or a Debian packages – check SPM client page.  Until now, the installer was completely written in Bash, but using Jordan Sissel’s fpm we were able to easily put together SPM Client packages.  Moreover, you can now easily install SPM Client on Redhat, CentOS, Fedora, Debian, Ubuntu, SuSE, Amazon Linux AMI, and maybe some other smaller distros we didn’t get to test.  If you try it on some  other distro, please let us know if it worked or if you had issues, so we can help!
  • SPM for Hadoop can now be used to monitor Hadoop HDFS, MapReduce, and YARN clusters.  We have tested SPM for Hadoop with CDH (Cloudera Hadoop Distribution), but it should work just as well with Apache Hadoop, or HDP (Hortonworks Data Platform), and perhaps MapR’s Hadoop distros as well.  Of course, you can use the same Sematext Apps account to monitor any number of your clusters and clusters of any type, so it’s extremely easy to switch from looking at your Hadoop metrics, to HBase metrics, to Solr or ElasticSearch metrics.  We are working on expanding monitoring support to other technologies.  Tell us what you would like SPM to monitor for you!
  • SPM users already loved the Overview panel in SPM (see Screenshots), but the new Custom Dashboards are even cooler!  Here are some things to know about the new SPM Dashboards:
    • You can have any number of them and you can name them – there are no limits
    • You can add any SPM graph to any of your existing dashboards and it’s super easy to create a new dashboard when you realize you want the graph you are looking at on a new dashboard
    • You can drag and drop dashboard panels wherever you want, resize them, and they’ll nudge other panels around and snap onto a neat, invisible grid
    • You can add graphs from any number of different SPM applications to the same dashboard.  So you can create a dashboard that has all the graphs that are important to you and your application(s), and combine metrics from different (types of) apps in a single view.  For example, you can have a dashboard that shows the number of HBase compactions as well as ElasticSearch index merging stats on the same dashboard, right next to each other.
    • Not only can you mix and match graphs from different SPM Apps on the same dashboard, but if you are a Search Analytics user you can also have Search Analytics graphs right next to your performance graphs!  That’s powerful!
    • And for those who discovered Logsene, our soon to be announced Data & Log Analytics service, you can imagine how eventually SPM & Logsene will be able to play together and share the same dashboards!
  • SPM Clients do a good job of gathering server and application metrics for applications covered by SPM.  But what if you want to monitor something else in addition to what SPM collects and graphs?  Or what if you want to feed in some non-performance data – say some user engagement metrics or some other Business KPI?  Well, you can do that now!  We’ve added Custom Metrics to all plans and this addition is free of charge!  And guess what?  You can build graphs with your custom metrics and put them on any and however many of your Dashboards you want, so you could potentially have your KPIs be shown next to your Performance Metrics, next to your Log Analytics, next to your Search Analytics!
  • To help SPM users feed custom metrics into SPM we’ve released and open-sourced the first Sematext Metrics library for Java, with libraries for other languages to follow. Improvements welcome, pull requests welcome, support for other languages super welcome!
  • You can now share, tweet, and embed your SPM graphs as you please.  Next to each icon you will see a little “share” icon that will open up a dialog window and there you can save the displayed short link, which you can tweet, or email.  You’ll also see an HTML snippet that you can copy and paste into your blog or your Wiki.  The shared or embedded widget is cool because you can select very specific filters in SPM and the shared/embedded graph will remember them.  Furthermore, you can choose to have your graph show a specific, fixed time range or, alternatively, you can choose to always show the last N minutes, or hours, or days…. This can be quite handy for sharing with team members who may not have access to SPM for one reason or another, but do want access to these graphs – think C*Os or anyone else who needs to be fed graphs and graphs, and some more graphs.
  • Here is a cool and very handy feature that was suggested by George Stathis from Traackr, one of our early SPM users:  If you are a developer in charge of your application, your servers, your cluster, what happens when something breaks or just starts working poorly?  Many people turn to mailing lists to seek help from the open source community.  Experts on these mailing lists often ask for more information so they can provide better help.  Very often this information is in the form of graphs of various performance metrics.  So if you look at SPM you will see a little ambulance icon that, when clicked, puts together an email template that includes a short, public link to whichever graph’s ambulance icon you clicked on.  You can then incrementally keep adding links to other graphs to this email and, when you are ready, email it without leaving SPM.  This is incredibly easy and it makes it a breeze to put together an email that has a bunch of informative graphs in it.  This means you don’t have to go open your email client, you don’t have to type in the mailing list address, and you don’t have to jump between the email you are composing and SPM while you copy and paste links from SPM into your email client.  And while this functionality is really handy when you need help from experts and you want to give them as much information about your system as you can so they can help you better, you can also simply change where this email will get sent and send it to whoever you want.
  • We listen to our user really carefully (see above!).  Some SPM users would like to keep their data longer, so we’ve added Pro Silver – a new plan with longer data retention, more metrics, more everything.
  • We’ve improved SPM for ElasticSearch so it can now collect metrics even from non-HTTP nodes.
  • We have made SPM Sender, the component responsible for sending all the metrics over to us for processing, more resilient and even lighter than before.

 

We want to hear what you think and what you want!  Please use comments to leave suggestions, requests, and feedback, or simply email us or tweet @sematext.

SPM Discountorama Announcement

We are happy to announce the General Availability of SPM, our performance monitoring solution for Apache Solr, ElasticSearch, HBase, SenseiDB, and Java applications, and of course all system metrics. You can also vote for what else you want SPM to monitor.  Over the last N months that we’ve been running SPM we’ve received a lot of good feedback (thanks!), a lot of words of encouragement (thanks!), and even a few nice quotes (another thanks!). Here is one from Jerry Yang, a Software Engineer at Walmart Labs: “I have been using SPM for couple of days and it has been amazing. I learned a lot about my Solr services and was able to optimize based on the results on SPM. Great work.”

Discount Codes

Since holiday season is coming up, we thought we’d offer some discounts every week between now until the end of the year.  Each of the following discounts can be used only during “its week” specified below.  There is a limit to the number of people who can use each discount, so if you want it, don’t waste too much time.  Each discount will reduce the price of SPM SaaS for 365 days after you’ve used it, which effectively means you will get discount until the end of 2013.  Note that when you register for SPM you do not need to enter your credit card information.  You also don’t need to provide it when you create the SPM application for the system you want to monitor.  And it is when you create your SPM application that you can enter the discount code.

  • 20% for the remainder of this week until the end of this Sunday, December 9: NY201320
  • 15% for the week of December 10, 2012: NY201315
  • 10% for the week of December 17, 2012: NY201310
  • 5% for the week of December 24, 2012: NY201305

Note that each discount code expires on Sunday at 00:00 UTC.

SPM Flavours

The above discounts are good for our SPM SaaS.  However, if you’d rather run SPM on your own servers, we do offer SPM on Premises – please get in touch if you are interested in the on premises version.  You can also vote for SPM SaaS vs. On Premise and that way tell us which version you prefer or want.

SPM Plans

There are a few different subscription plans available in SPM SaaS:

  • Basic plan that is free and shows the last 30 minutes of performance data
  • Standard plan that shows the last 30 days of data and costs $0.035/server/hour
  • Pro plan that shows the last 60 days of performance data and costs $0.070/server/hour

If you have not used SPM before, here is what you can expect to see – click on the image to see a large, non-fuzzy version:

We hope you will find SPM useful and fun to use.  We are always looking for feedback – just email spm-support@sematext.com or ping @sematext and tell us what you like or don’t like about SPM.

New Tool: JMXC – JMX Console

When you are obsessed with performance and run a performance monitoring service like Sematext does, you need a quick and easy way to inspect Java apps’ MBeans in JMX.  We just open-sourced JMXC, our 1-class tool for dumping the contents of JMX, or specific MBeans.  This is a true and super-simple, no external dependencies console tool that can connect to JMX via Java application PID or via JMX URL and can dump either all MBeans or those specified on the command line.

JMX lives at https://github.com/sematext/jmxc along with other Sematext open-source tools.  Feedback and pull requests welcome!  Enjoy!

Announcing Scalable Performance Monitoring (SPM) for JVM

Up until now, SPM existed in several flavors for monitoring Solr, HBase, ElasticSearch, and Sensei. Besides metrics specific to a particular system type, all these SPM flavors also monitor OS and JVM statistics.  But what if you want to monitor any Java application?  Say your custom Java application run either in some container, application server, or from a command line?  You don’t really want to be forced to look at blank graphs that are really meant for stats from one of the above mentioned systems.  This was one of our own itches, and we figured we were not the only ones craving to scratch that itch, so we put together a flavor of SPM for monitoring just the JVM and (Operating) System metrics.

Now SPM lets you monitor OS and JVM performance metrics of any Java process through the following 5 reports, along with all other SPM functionality like integrated Alerts, email Subscriptions, etc.  If you are one of many existing SPM users these graphs should look very familiar.

JVM: heap, thread stats

We are not including it here, but the JVM report includes and additional and valuable Garbage Collection graph if you are using Java 7.

Garbage Collection: collection time & count

CPU & Memory: CPU stats breakdown, system load, memory stats breakdown, swap

Disk: I/O rates, disk space used & free

Network: I/O rates

To start monitoring, one should have a valid Sematext Apps account, which you can get free of charge here. After that, define a new SPM JVM System, download the installation package, and proceed with the installation.  The whole process should take around 10 minutes (assuming you are not multitasking or suffer from ADD, that is).

Installation process is simple as always and described on the installer download page. After the installation is done, monitor is enabled in your Java process by adding just the following to the command line for the Java process/application you want to monitor:

-Dcom.sun.management.jmxremote \
-javaagent:/spm/spm-monitor/lib/spm-monitor-jvm-1.6.0-withdeps.jar=/spm/spm-monitor/conf/spm-monitor-config-YourSystemTokenHere-default.xml

For example, if my application is com.sematext.Snoopy I could run it with SPM parameters as shown here:

java -Dcom.sun.management.jmxremote -javaagent:/spm/spm-monitor/lib/spm-monitor-jvm-1.6.0-withdeps.jar=/spm/spm-monitor/conf/spm-monitor-config-YourSystemTokenHere-default.xml com.sematext.Snoopy

After you are finished with the installation, the stats should start to appear in SPM after just a few minutes.

Happy monitoring!

- @sematext

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