2020 to evaluate Mission Command Information Systems (MCIS) performance Our findings are based on what we observed using machining learning inherent
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[PDF] Training the Mission Command Warfighting Function Contents
21 déc 2017 · For training purposes, the digital systems are limited to the mission command information system (MCIS)—the information system component of mission command In all but Tables IX and X, the commander, staff, command post and digital systems have tasks to perform
[PDF] Mission Command Warfighting Function Training Tables - Army
15 juil 2019 · command, control, communications, computers, and intelligence MCIS MOE mission command information system measure of effectiveness
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duties—as might be the case with a mission-command information system (MCIS ) operator That is not to say that exercising mission command using information
[PDF] Army Aviation and the Mission Command Warfighting Function - DTIC
6 sept 2017 · System, Mission Command Information Systems, Training, Mission internet to find current relevant Army doctrine and MCIS information from
[PDF] Army Tactical Mission Application Performance - Cisco AppDynamics
2020 to evaluate Mission Command Information Systems (MCIS) performance Our findings are based on what we observed using machining learning inherent
[PDF] Mission Command of Multi-Domain Operations - Army War College
28 sept 2020 · Defense, the military educational system, Congress, the media, other Mission Command and Multi-Domain Operations Short of Armed information environment—for the Joint Force during competition, and these tasks will
[PDF] UNCLASSIFIED UNCLASSIFIED - DACIS
and interoperability with the Army Mission Command Information System (MCIS) requires development, testing and integration of new web-based services for
[PDF] Volume 2, Issue 10 September 2020 • RETRANS certification • ESB
1 oct 2020 · services to empower the next generation of Mission Command Information Systems (MCIS) like the Com- mand Post Computing Environment
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AppDynamics Application Intelligence
Transform the way modern applications are built,
maintained and operated Optimize user experience with continuous, mission-focused application eydCyalmieAaCmP|CyPmrA Approved for release within the Department of Army. Distribution is u nlimited.Rick Noonan
CiscoAppDynamics Specialist
US Army
Rick.Noonan@AppDynamics.com
(703)484-5671 AppDynamics Confidential. Copyright © 2020 AppDynamics LLC. All rights reserved.Abstract
|2Pag2eApA2 Dyn2am|2mimcPgi2Ps2mC2oCfDgm|oCdtn2iodoPmt2mdgl2Pag2oC.g |PygCP2oC2mCi2DgtomCfg2sC2 nl2r|gD|2DgtnoCd2sC2Pag|g2 o|agi2yo||osC2gLLgfPo.gCg||A2 sDdmCo6mPosC|2fDoPofo6g2gmfa2sPagDl2sLPgC2mCgfisPmttn2mCi24oPasrP2ygPDof|A22vaDsrdasrP2Pag2 Dynl2 s2Pgmy|2Dg|csC|ohtg2LsD2Pao|2mDgm2mCi2
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2 vag2ep2 Dyn8|2919 05 Ai rborneDivision
has been experiencing many of these daily, weekly, and |osC2mcctofmPosC|A22vag2 91905 Airborne invited the Cisco AppDynamics team to participate in a recent e xercise in January I1I12 Ps2 g.mtrmPg2 2 cgDLsDymCfg
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05Leveraging this information and solution,
theUS Army
can have greaterDgmt2Poygl2mCi2oycDs.g2
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Division
and other combatant commands that employ MCIS applications. Our approach leverages commercial-off- the shelf capabilities to create a scalable and extensible platform currently in use across DoD and the Intelligence Community (IC) agencies. The platform provides the IT enterprise and application/MCIS developers the ability to gain situational awareness and gather real time actionable information that can be quickly and easily shared with all st akeholders for significantly reduced mean time to resolution.The goal o
f this paper is to highlight the offering by AppDynamics, the work done, and benefits found in a field mission with the 101 05 , and to obtain sponsorship and engagement f or a joint development between Cisco AppDynamics, PEO-C3T, PM Mission Command and the NCFT. We would like to work together to enable these mission capabilities for greater application mission success for the US Army AppDynamics Confidential. Copyright © 2020 AppDynamics LLC. All rights reserved.Introduction
The 101
05Airborne
Division requested our assistance to help identify and troubleshoot frequent deployment challenges with their Mission Command Information Systems (MCIS). Currently, the 101 05 uses basic troubleshooting techniques on the systems, applications, and networks that support their tactical applications. The systems are not as stable, robust or reliable as desired. Hours and days of time are spent resetting, reconfiguring, reimaging, an d replacing the components of the MCIS . This occurs over and over again during ex ercises and real world operations.More often than not,
the root cause of the issues often experienced when operating MCIS go undiscovered.
The result is a lack of
reliab ility and stability in the MCI S producing a mission outcome that is less than desired for the command. 2 ML2Pag2ymCn2fmcmhotoPog|2LsD2mcctofmPosC2cgDLsDymCfg2PamP2 ccFnCmyof|2fmC2igto.gDl2Pag|g24gDg2Pag2PaDgg2mDgm|2sL2Lsfr|24oPa2Pag2919
05 during our recent exercise 9LCan the 101
05 get the much needed but missing visibility into mission and command wide mcctofmPosC|l24aofa2Pag2yo||osC2Dgmio
C g |2sL2Pag2fsyymCi A 2 2 IL What can be done to reduce the repetitive time and effort spent troubleshooting mission mcctofmPosC|l24agDg2 d gPPoCd2Ps2Pag2DssP2fmr|g2o|2DmDg A 2 SL What can be done to help baseline the mission applications when performing normally, |s24agC2cgDLsDymCfg2ig.omPg |2s.gD2Poyg2Pag2919|P
2 fmC23Cs424oPa2fgDPmoCPn2Pag2Dgm|sC|2 4an A 2 pgg2LodrDg292hgts4A 2 DE,mrn, FmG;HmeImeJamfph,mp mfK,mIp,-FmIpLp MmM-pftKwmrwrf,hrm prrJ,rmfKufmNap MmFeO mfK,mhprrpe munn-ptufpe rPmu wmK,-nmK,a,mOeJ-FmN,mfaJ-wmQu-JuN-,mfemJrlR
AprovedfrlasedfwrpithnDwrmyme.
AppDynamics Confidential. Copyright © 2020 AppDynamics LLC. All rights reserved. 2ApDynama
i a m T a cAyweygn a vag2DgymoCigD2sL2Pag2cmcgD24ott2cDs.oig2mC2s.gD.og42sL2 ccFnCmyof|l2|amDg23gn2LoCioCd|2LDsy2 srD24sD324oPa2Pag2919 05 , and request a plan of action to help resolve key pain points. 2 22AppDynamics Confidential. Copyright © 2020 AppDynamics LLC. All rights reserved.
Overview
Cisco's AppDynamics allows organizations to
provide optimal mission outcomes by improving application performance and user experience. It does this by providing a platform designed to follow the users or soldier's interaction with the application from begi nning to end.AppDynamics allows real
time analysis and visualization of collected and correlated data to get insigh ts into IT operations, user experience and mission outcomesu Using machine learningAppDynamics
automatically discovers all the business transactions that comprise the application and baselines (understands what normal is for) all metrics collected , so wh en a system has a slow or problematic application experience, developers can see exactly what caused the bottleneck and identify the issue quickly . This reduces the mean time to respond to issues, on average a 70%90% improvement. AppDynamics
addresses the challenges brought by the t raditional approach of monitoring, where disparate teams try to solve application p roblems by using siloed IT infrastructure data to narrow down the root cause of a problem, lacking a holistic view.AppDynamics Application
Intelligence provides the
Visibility to see
the Insight to k now and the recommendingAction to take. Specifically, that means:
o8yey,ytydb: Ability to see the entire application (or set of applications) in real-time as to
individual end user experience, including t he supportive IT infrastructure; o9ley:pd: Ability to know trends in the application over time, as well as its contribution to overall mission effectiveness; and
oT;dynl: so, you can quickly fix problems or fine-tune an application in development based on data, reflecting deep visibility into how the app is relating with its surroun
ding infrastructure. AppDynamics adopts a top down approach to performance monitoring by uniq uely focusing on the end user's experience with something we call the Rick NcconaC cCsAkp c of the application. A Business Transaction traces the entire transaction path, from the end-user device or browser, through the application code, databases, third-party API calls, servers and other infrastructure. This i s a more accurat e way of understanding the health of applications than traditional botto m-A"#"$%&'"
AppDynamics Confidential. Copyright © 2020 AppDynamics LLC. All rights reserved. rc2mccDsmfag|2PamP2Dgtn2sC2|ots 5 hm|gi2ysCoPsDoCd2|strPosC|A22 MrD 2 mccDsmfa2o|2 ysDg2 .mtrmhtg224oPa2|otsgi2Psst|2mCi2
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AppDynamics Confidential. Copyright © 2020 AppDynamics LLC. All rights reserved. vag2 ccFnCmyof|2r|gD2oCPgDLmfg2sL 5 mcctofmPosC2 2 2Global Applications View
Application Flow Map
Business Transactions
Tiers and Nodes
Service Endpoints
Database
Java and .NET Infrastructure metrics
Java and .NET transaction metrics
An example of such an "executive" dashboard is captured below in Figure 3. 2 2Optimze@e
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AppDynamics Confidential. Copyright © 2020 AppDynamics LLC. All rights reserved.Initial Findings
dudmtL RThe AppDynamics platform was installed at the 101
05Airborne and was ready to go within a day.
AppDynamics agents took longer to instrument the applications due to a n umber of factors b eyond immediate control, caused by incompatibility of MCIS with the program unless integrated at the development level. Once agents were temporarily hosted on three initial systems (See Figure 4), using AppDynamics, we immediately began collecting all observable metrics of the application code and the systems they were on. Within a few minutes we had some initial findings. RAproveRe
Within a few hours we started to see (see Figure 5) data related to appl ication operation. We found on one server there was a health alert, so we drilled down into the alert to find that CPU was at 100% for several periodic intervals. We used AppDynamics to see all metrics from the virtual machine supporting the application. We can narrow the view for a certain time range to see if this KPI health alert is relevant to anything else observed.D"#"$%&'"
AppDynamics Confidential. Copyright © 2020 AppDynamics LLC. All rights reserved.2 ApDynaSa
We also observed a node health alert, a memory race condition with one o f the JVM's, (see figure 6 . In this case the memory/HEAP usage alert lasted for hours, contribut ing to systems losing or dropping connection to each other, which had nothing to do with the network or the virtual machine. With our automated baselining, the system dynamically sets health rules to learn what is normal, and only alerts based on deviations from normal.The value is that we
eliminate false positives such that IT operations can be focused on what matters, and not be distracted wading through a mountain of white noise false positive alert s. We also eliminate significant project costs because implementation teams do not require we eks or months of onsite consulting time to be setting and resetting thresholds to attempt to avo id this mountain of false positive alerts. E; AppDynamics Confidential. Copyright © 2020 AppDynamics LLC. All rights reserved.2 ApDynaTa
During this time frame we also collected and observed metrics on the dat abase. We see all database KPI's; functions, time spent, memory used, disk IO, network IO, and related performance metrics (see figure 7). A message from another system is being received but it is taking a long time. Again, this is unrelated to the network or the physical system running the application, but we are monitoring everything, tagging, tracing and corr elating events. With Project Manager (PM) integration before system fielding, Soldiers can b e provided pre- configured "watch lists" to identify proper/improper functioning. EE AppDynamics Confidential. Copyright © 2020 AppDynamics LLC. All rights reserved.2 ApDynaUa
Using the AppDynamics
dashboard, we click into the slow database method call to gain further detail (s ee figure 8 . Here we are presented the machine learned data as to the nature of th e JDBC call, the call statement itself, and related parameters that contributed to the slow message exchange, part of the slow business transaction that was measured. This level of detail is valuable for developers so that these findings can be used immediately i n an AGILE DevSecOps cycle, so that next release s of the application improve application performance and quality, which leads to the mission effectiveness goals that LTC Wilson and team are looking for at the 10105