SlideShare una empresa de Scribd logo
1 de 31
Descargar para leer sin conexión
What it Means to be a Next-Generation Managed Service Provider
• The duration of this webinar is 60 minutes
• Q+A will take place at the end
• Ask questions via the ”chat” panel
• Please keep yourself on mute
• This webinar will be recorded
Webinar Logistics
John Gray
SVP, Alliances
Datadog
Thomas Robinson
Solutions Architect
Amazon Web Services
Patrick Hannah
VP, Engineering
CloudHesive
Today’s Presenters
Built for modern infrastructure
Your infrastructure has changed, you need a different way to manage your stack
#MonitorAllTheThings
You need a single pane of glass for Operations and Development Teams
Made for org-wide adoption
You need monitoring to be easy, flexible, scalable - so that the entire department will use it
Why Datadog
Cloud-ready
Your infrastructure will change, you will need a different way to manage your new stack
Bridge dev and ops
You’ve always wanted a single pain of glass for Ops + Dev Teams, with the cloud, you’ll need it
Streamlining dev and deployment cycles
You need monitoring to be easy, flexible, scalable – so that the entire department will use it
Why Datadog
Infrastructure-wide visibility
Your customers’ servers, Your customers’ clouds, Your customers’ metrics, Your customers’ apps, Your Team. Together in one place.
Create custom KPIs
and composite metrics
Compare and correlate
metrics from multiple IT
components
Track events from
the systems in your
environment
1. Quickly resolve your customers’ critical
issues and meet SLAs
2. Serve more customers efficiently with
monitoring automation
3. Start providing value to your customers in
minutes
Why Datadog for your managed services business
Provide deep insight into your customers’ next generation cloud-based infrastructures
1. Technical and sales onboarding training and
resources
2. Co-marketing activities including demand
generation, content creation, email
templates
3. Dedicated Partner Success Team focused
on partner success and grow
What we provide Program benefits
AWS MANAGED SERVICE PROVIDER (MSP)
PARTNER PROGRAM
THOMAS ROBINSON
SOLUTION ARCHITECT, MSP PROGRAM TECHNICAL LEAD
AWS PARTNER NETWORK
THE APN HAS ADDED 10,000+ OVER THE PAST 12
MONTHS
100%Y o Y
AWS Consulting
Partners
130%Y o Y
AWS Managed
Service Partners
O n A W S
M a r k e t p l a c e
G r o w t h U s e A P N p a r t n e r
s o l u t i o n s & s e r v i c e s
90%+
Fortune 100
60%
Partners
Headquartered
Outside U.S.
370M
EC2 Hours Per
Month
C O N S U L T I N G
P A R T N E R S
AWS PARTNER NETWORK
T E C H N O L O G Y
P A R T N E R S
P r o f e s s i o n a l s e r v i c e s f i r m s t h a t
h e l p c u s t o m e r s o f a l l s i z e s d e s i g n ,
a r c h i t e c t , m i g r a t e , o r b u i l d n e w
a p p l i c a t i o n s o n AW S
C o m m e r c i a l s o f t w a r e a n d I n t e r n e t
s e r v i c e s c o m p a n i e s t h a t p r o v i d e
s o f t w a r e s o l u t i o n s t h a t a r e e i t h e r
h o s t e d o n , o r i n t e g r a t e d w i t h A W S
PARTNER JOURNEY:
AWS PARTNER NETWORK
A SHIFT HAS OCCURRED
New Approaches
New Ways to
Add Value
Customer
Engagement
DevOps &
Automation
Dynamic &
Agile
WHAT IS A NEXT GEN MSP?
P l a n &
D e s i g n
B u i l d &
M i g r a t e
R u n &
O p e r a t e
O p t i m i z e
“I need help migrating, running, & optimizing my AWS workloads.”
A W S M A N A G E D S E R V I C E
P R O V I D E R P R O G R A M
T h e A W S M S P p r o g r a m p r o v i d e s q u a l i f i e d A P N
C o n s u l t i n g P a r t n e r s w h o a r e s k i l l e d a t c l o u d
i n f r a s t r u c t u r e a n d a p p l i c a t i o n m i g r a t i o n , a n d
d e l i v e r v a l u e t o c u s t o m e r s b y o f f e r i n g
p r o a c t i v e m o n i t o r i n g , a u t o m a t i o n , a n d
m a n a g e m e n t o f t h e i r c u s t o m e r ’ s e n v i r o n m e n t
w i t h b u s i n e s s , m a r k e t i n g a n d e n a b l e m e n t
b e n e f i t s .
AWS MSP PROGRAM
W H Y
B E C O M E A N
A W S M S P
P A R T N E R ?
AWS MSP PROGRAM
• G a i n a c c e s s t o a w i d e r a n g e o f M S P -
s p e c i f i c b u s i n e s s , t e c h n i c a l , a n d
m a r k e t i n g b e n e f i t s
• P o s i t i o n y o u r f i r m a s a n e x t g e n M S P
a n d b e p r o m o t e d a s a n AW S M a n a g e d
S e r v i c e P a r t n e r o n t h e AW S w e b s i t e
• A c c e s s t o e x c l u s i v e M S P M a r k e t i n g
C a m p a i g n s a n d C o n t e n t
• C o n s u l t a t i v e 3 r d P a r t y Va l i d a t i o n A u d i t
• F a s t e r p a c e o f g r o w t h ( 1 3 0 % y e a r - o v e r -
y e a r c o m p a r e d t o 111 % f o r n o n - M S P
A P N C o n s u l t i n g P a r t n e r )
S e r v i c e D e s k &
C u s t o m e r S u p p o r t
S L A s & R e p o r t i n g
S e c u r i t y
M a n a g e m e n t
D e v O p s &
A u t o m a t i o n
B i l l i n g & C o s t
M a n a g e m e n t
P r o c e s s & C o s t
O p t i m i z a t i o n
B u s i n e s s H e a l t h &
M a n a g e m e n t
C u s t o m e r
O b s e s s i o n
S o l u t i o n D e s i g n
C a p a b i l i t i e s
I n f r a s t r u c t u r e & A p p l i c a t i o n
M i g r a t i o n C a p a b i l i t i e s
AWS MSP PROGRAM
WHAT IT MEANS TO BE A
NEXT-GENERATION MSP
PATRICK HANNAH
VP OF ENGINEERING, CLOUDHESIVE
• Who am I?
• What is my background?
• What do I hope to get out of this presentation?
• How am I using AWS?
• What do I love about AWS?
Who am I?
Professional Services
• Assessment (Current environment, datacenter or cloud
footprint)
• Strategy (Getting to the future state)
• Migration (Environment-to-cloud, Datacenter-to-cloud)
• Implementation (Point solutions)
• Support (Break/fix and ongoing enhancement)
DevOps Services
• Assessment
• Strategy
• Implementation (Point solutions)
• Management (Supporting infrastructure, solutions or
ongoing enhancement)
• Support (Break/fix and ongoing enhancement)
Who is CloudHesive
Managed Security Services (SecOps)
• Encryption as a Service (EaaS) – encryption at rest and in
flight
• End Point Security as a Service
• Threat Management
• SOC II Type 2 Validated
Next Generation Managed Services
• Leveraging our Professional, DevOps and Managed
Security Services
• Single payer billing
• Intelligent operations and automation
• AWS Audited
Problem Statement:
I need to be able to (monitor|get) information about my
“things”.
What’s important?
What are my things?
• Platforms
• Environments
• Systems
• Servers
• Services
• Applications
• Literal Things
What characteristics of my things do I care about?
• Is it up/down?
• Have I crossed some sort of arbitrary threshold?
• Is there an interesting event or lack thereof?
• Is there a certain quantity of either?
Difference sources of data:
• AWS, CloudWatch
• AWS, CloudTrail
• AWS, Config
• Linux proc
• Linux syslog
• Windows WMI
• Windows Event Log
• Application Logs
• Third party tool logs (APM, Security, etc.)
How does that translate on AWS?
Different methods of alerting:
• E-Mail
• SMS
• Voice
• Push
Different methods of collecting:
• Native APIs
• Agents
• No trending
• No single pane of glass
• Redundant work
• Lost data
What’s the outcome of this approach?
Problem Statement:
I need CONTEXT about the alerts I get from my “things”.
What’s really important?
Why?
Things can carry different SLAs, depending on:
• Type of environment
• Where it sits in the lifecycle
• What it does (mission critical, back office)
• Type of customer (industry)
• Does it heal itself? (autoscaling, recovery, etc.)
• Context
Datadog is central to our event
monitoring platform
How does CloudHesive solve it?
How does it work?
• Data from the sources described on previous slides +
more are sent to Datadog
• It performs the initial triage via a series of pre-configured
monitors
• Non Severity 1 go to a work queue (Jira)
• Severity 1 go to an escalation queue (OpsGenie)
• All events persisted to long term storage (SumoLogic)
With outlier detection we are able to
find underperforming members of
clusters, autoscaled groups, etc and
act appropriately.
Outlier Detection!
We covered real time but what about looking backwards?
• Root cause analysis (eg. on this date/time the application
underperformed – why?)
• Change planning (eg. expecting a 10x increase in traffic,
will our autoscaling strategy work?)
What else can we do?
Problem Statement:
Now that I know what I want to monitor, how do I select the
right tools?
Integrations and the AWS Ecosystem
Implemented by default
• AWS Integration/Agent Installation/Agent Configuration
Integrates
• Over 100 integrations
What does it do best?
• Time series data, Key/Value pairs
Scales (Operationally and Technically)
• Ever run your own monitoring platform? The last thing you
want is your platform to be impacted by the same event
impacting your monitored infrastructure
• Insight across customers
• New customers get a default suite of
integrations and monitors
• Support customer DevOps initiatives
• Stronger Next Generation MSP
• Security? Security!
What powers do we gain?
Next Steps
Questions about monitoring or
the Datadog Partner Program?
John Gray
partners@datadoghq.com
Questions around the AWS
MSP Partner program?
Thomas Robinson
Aws-msp@amazon.com
Questions around being a
Datadog partner?
Patrick Hannah
Patrick.hannah@cloudhesive.com
Questions?
Thank You

Más contenido relacionado

Similar a What it Means to be a Next-Generation Managed Service Provider

Prepare Your Team for Cloud Transformation - ENT205 - Chicago AWS Summit
Prepare Your Team for Cloud Transformation - ENT205 - Chicago AWS SummitPrepare Your Team for Cloud Transformation - ENT205 - Chicago AWS Summit
Prepare Your Team for Cloud Transformation - ENT205 - Chicago AWS SummitAmazon Web Services
 
Keynote - AWS Summit Milano 2018
Keynote - AWS Summit Milano 2018Keynote - AWS Summit Milano 2018
Keynote - AWS Summit Milano 2018Amazon Web Services
 
Creating Modern Metadata Systems with New Relic, Dow Jones [FutureStack16]
Creating Modern Metadata Systems with New Relic, Dow Jones [FutureStack16]Creating Modern Metadata Systems with New Relic, Dow Jones [FutureStack16]
Creating Modern Metadata Systems with New Relic, Dow Jones [FutureStack16]New Relic
 
Serverless WordPress & next Interface of WordPress
Serverless WordPress & next Interface of WordPressServerless WordPress & next Interface of WordPress
Serverless WordPress & next Interface of WordPressHidetaka Okamoto
 
Innovations and trends in Cloud. Connectfest Porto 2019
Innovations and trends in Cloud. Connectfest Porto 2019Innovations and trends in Cloud. Connectfest Porto 2019
Innovations and trends in Cloud. Connectfest Porto 2019javier ramirez
 
Elevated.com's 2018 General Capabilities Deck-We are growing!!
Elevated.com's 2018 General Capabilities Deck-We are growing!!Elevated.com's 2018 General Capabilities Deck-We are growing!!
Elevated.com's 2018 General Capabilities Deck-We are growing!!Chris Snook
 
World Hosting Days - More than just a control panel - reveal the power of Web...
World Hosting Days - More than just a control panel - reveal the power of Web...World Hosting Days - More than just a control panel - reveal the power of Web...
World Hosting Days - More than just a control panel - reveal the power of Web...Jan Löffler
 
WHD.usa - Plesk - more than just a control panel - reveal the power of web op...
WHD.usa - Plesk - more than just a control panel - reveal the power of web op...WHD.usa - Plesk - more than just a control panel - reveal the power of web op...
WHD.usa - Plesk - more than just a control panel - reveal the power of web op...Jan Löffler
 
AWS Transformation Day - Minneapolis 2018
AWS Transformation Day - Minneapolis 2018AWS Transformation Day - Minneapolis 2018
AWS Transformation Day - Minneapolis 2018Amazon Web Services
 
GPSBUS206_Best Practices for Building a Partner Database Practice on AWS
GPSBUS206_Best Practices for Building a Partner Database Practice on AWSGPSBUS206_Best Practices for Building a Partner Database Practice on AWS
GPSBUS206_Best Practices for Building a Partner Database Practice on AWSAmazon Web Services
 
How to enrich eRetail consumer experience | Iksula
How to enrich eRetail consumer experience | Iksula How to enrich eRetail consumer experience | Iksula
How to enrich eRetail consumer experience | Iksula Iksula
 
AWS re:Invent 2017 Recap - Strategy & Direction
AWS re:Invent 2017 Recap - Strategy & DirectionAWS re:Invent 2017 Recap - Strategy & Direction
AWS re:Invent 2017 Recap - Strategy & DirectionAmazon Web Services
 
SAI - Serverless Integration Architectures - 09/2019
SAI - Serverless Integration Architectures - 09/2019SAI - Serverless Integration Architectures - 09/2019
SAI - Serverless Integration Architectures - 09/2019Samuel Vandecasteele
 
5 Steps to Getting Organizational Buy-In for Your Enterprise Software Project
5 Steps to Getting Organizational Buy-In for Your Enterprise Software Project5 Steps to Getting Organizational Buy-In for Your Enterprise Software Project
5 Steps to Getting Organizational Buy-In for Your Enterprise Software ProjectJeff Carr
 
Building smart applications with AWS AI services (October 2019)
Building smart applications with AWS AI services (October 2019)Building smart applications with AWS AI services (October 2019)
Building smart applications with AWS AI services (October 2019)Julien SIMON
 

Similar a What it Means to be a Next-Generation Managed Service Provider (20)

Building for the Public Sector
Building for the Public SectorBuilding for the Public Sector
Building for the Public Sector
 
Prepare Your Team for Cloud Transformation - ENT205 - Chicago AWS Summit
Prepare Your Team for Cloud Transformation - ENT205 - Chicago AWS SummitPrepare Your Team for Cloud Transformation - ENT205 - Chicago AWS Summit
Prepare Your Team for Cloud Transformation - ENT205 - Chicago AWS Summit
 
Keynote - AWS Summit Milano 2018
Keynote - AWS Summit Milano 2018Keynote - AWS Summit Milano 2018
Keynote - AWS Summit Milano 2018
 
Creating Modern Metadata Systems with New Relic, Dow Jones [FutureStack16]
Creating Modern Metadata Systems with New Relic, Dow Jones [FutureStack16]Creating Modern Metadata Systems with New Relic, Dow Jones [FutureStack16]
Creating Modern Metadata Systems with New Relic, Dow Jones [FutureStack16]
 
Serverless WordPress & next Interface of WordPress
Serverless WordPress & next Interface of WordPressServerless WordPress & next Interface of WordPress
Serverless WordPress & next Interface of WordPress
 
Innovations and trends in Cloud. Connectfest Porto 2019
Innovations and trends in Cloud. Connectfest Porto 2019Innovations and trends in Cloud. Connectfest Porto 2019
Innovations and trends in Cloud. Connectfest Porto 2019
 
Elevated.com's 2018 General Capabilities Deck-We are growing!!
Elevated.com's 2018 General Capabilities Deck-We are growing!!Elevated.com's 2018 General Capabilities Deck-We are growing!!
Elevated.com's 2018 General Capabilities Deck-We are growing!!
 
AWS Storage State of the Union
AWS Storage State of the UnionAWS Storage State of the Union
AWS Storage State of the Union
 
World Hosting Days - More than just a control panel - reveal the power of Web...
World Hosting Days - More than just a control panel - reveal the power of Web...World Hosting Days - More than just a control panel - reveal the power of Web...
World Hosting Days - More than just a control panel - reveal the power of Web...
 
WHD.usa - Plesk - more than just a control panel - reveal the power of web op...
WHD.usa - Plesk - more than just a control panel - reveal the power of web op...WHD.usa - Plesk - more than just a control panel - reveal the power of web op...
WHD.usa - Plesk - more than just a control panel - reveal the power of web op...
 
Going Global with AWS
Going Global with AWSGoing Global with AWS
Going Global with AWS
 
AWS Transformation Day - Minneapolis 2018
AWS Transformation Day - Minneapolis 2018AWS Transformation Day - Minneapolis 2018
AWS Transformation Day - Minneapolis 2018
 
GPSBUS206_Best Practices for Building a Partner Database Practice on AWS
GPSBUS206_Best Practices for Building a Partner Database Practice on AWSGPSBUS206_Best Practices for Building a Partner Database Practice on AWS
GPSBUS206_Best Practices for Building a Partner Database Practice on AWS
 
How to enrich eRetail consumer experience | Iksula
How to enrich eRetail consumer experience | Iksula How to enrich eRetail consumer experience | Iksula
How to enrich eRetail consumer experience | Iksula
 
AWS re:Invent 2017 Recap - Strategy & Direction
AWS re:Invent 2017 Recap - Strategy & DirectionAWS re:Invent 2017 Recap - Strategy & Direction
AWS re:Invent 2017 Recap - Strategy & Direction
 
SAI - Serverless Integration Architectures - 09/2019
SAI - Serverless Integration Architectures - 09/2019SAI - Serverless Integration Architectures - 09/2019
SAI - Serverless Integration Architectures - 09/2019
 
5 Steps to Getting Organizational Buy-In for Your Enterprise Software Project
5 Steps to Getting Organizational Buy-In for Your Enterprise Software Project5 Steps to Getting Organizational Buy-In for Your Enterprise Software Project
5 Steps to Getting Organizational Buy-In for Your Enterprise Software Project
 
Building smart applications with AWS AI services (October 2019)
Building smart applications with AWS AI services (October 2019)Building smart applications with AWS AI services (October 2019)
Building smart applications with AWS AI services (October 2019)
 
AWS SEMINAR SERIES 2015 Perth
AWS SEMINAR SERIES 2015 PerthAWS SEMINAR SERIES 2015 Perth
AWS SEMINAR SERIES 2015 Perth
 
cofaso Presentation
cofaso Presentationcofaso Presentation
cofaso Presentation
 

Más de Datadog

Lifting the Blinds: Monitoring Windows Server 2012
Lifting the Blinds: Monitoring Windows Server 2012Lifting the Blinds: Monitoring Windows Server 2012
Lifting the Blinds: Monitoring Windows Server 2012Datadog
 
Monitoring kubernetes across data center and cloud
Monitoring kubernetes across data center and cloudMonitoring kubernetes across data center and cloud
Monitoring kubernetes across data center and cloudDatadog
 
Datadog + VictorOps Webinar
Datadog + VictorOps WebinarDatadog + VictorOps Webinar
Datadog + VictorOps WebinarDatadog
 
Dataday Texas 2016 - Datadog
Dataday Texas 2016 - DatadogDataday Texas 2016 - Datadog
Dataday Texas 2016 - DatadogDatadog
 
Docker Usage Patterns - Meetup Docker Paris - November, 10th 2015
Docker Usage Patterns - Meetup Docker Paris - November, 10th 2015Docker Usage Patterns - Meetup Docker Paris - November, 10th 2015
Docker Usage Patterns - Meetup Docker Paris - November, 10th 2015Datadog
 
PyData NYC 2015 - Automatically Detecting Outliers with Datadog
PyData NYC 2015 - Automatically Detecting Outliers with Datadog PyData NYC 2015 - Automatically Detecting Outliers with Datadog
PyData NYC 2015 - Automatically Detecting Outliers with Datadog Datadog
 
Monitoring Docker at Scale - Docker San Francisco Meetup - August 11, 2015
Monitoring Docker at Scale - Docker San Francisco Meetup - August 11, 2015Monitoring Docker at Scale - Docker San Francisco Meetup - August 11, 2015
Monitoring Docker at Scale - Docker San Francisco Meetup - August 11, 2015Datadog
 
Monitoring Docker containers - Docker NYC Feb 2015
Monitoring Docker containers - Docker NYC Feb 2015Monitoring Docker containers - Docker NYC Feb 2015
Monitoring Docker containers - Docker NYC Feb 2015Datadog
 
Running & Monitoring Docker at Scale
Running & Monitoring Docker at ScaleRunning & Monitoring Docker at Scale
Running & Monitoring Docker at ScaleDatadog
 
Treating Infrastructure as Garbage
Treating Infrastructure as GarbageTreating Infrastructure as Garbage
Treating Infrastructure as GarbageDatadog
 
Events and metrics the Lifeblood of Webops
Events and metrics the Lifeblood of WebopsEvents and metrics the Lifeblood of Webops
Events and metrics the Lifeblood of WebopsDatadog
 
The Data Mullet: From all SQL to No SQL back to Some SQL
The Data Mullet: From all SQL to No SQL back to Some SQLThe Data Mullet: From all SQL to No SQL back to Some SQL
The Data Mullet: From all SQL to No SQL back to Some SQLDatadog
 
Big (IT) data
Big (IT) dataBig (IT) data
Big (IT) dataDatadog
 
Deep dive into Nagios analytics
Deep dive into Nagios analyticsDeep dive into Nagios analytics
Deep dive into Nagios analyticsDatadog
 
Just enough web ops for web developers
Just enough web ops for web developersJust enough web ops for web developers
Just enough web ops for web developersDatadog
 
Customer Ops: DevOps <3 customer support
Customer Ops: DevOps <3 customer supportCustomer Ops: DevOps <3 customer support
Customer Ops: DevOps <3 customer supportDatadog
 
I <3 graphs in 20 slides
I <3 graphs in 20 slidesI <3 graphs in 20 slides
I <3 graphs in 20 slidesDatadog
 
Effective monitoring with StatsD
Effective monitoring with StatsDEffective monitoring with StatsD
Effective monitoring with StatsDDatadog
 
Alerting: more signal, less noise, less pain
Alerting: more signal, less noise, less painAlerting: more signal, less noise, less pain
Alerting: more signal, less noise, less painDatadog
 
Fact based monitoring
Fact based monitoringFact based monitoring
Fact based monitoringDatadog
 

Más de Datadog (20)

Lifting the Blinds: Monitoring Windows Server 2012
Lifting the Blinds: Monitoring Windows Server 2012Lifting the Blinds: Monitoring Windows Server 2012
Lifting the Blinds: Monitoring Windows Server 2012
 
Monitoring kubernetes across data center and cloud
Monitoring kubernetes across data center and cloudMonitoring kubernetes across data center and cloud
Monitoring kubernetes across data center and cloud
 
Datadog + VictorOps Webinar
Datadog + VictorOps WebinarDatadog + VictorOps Webinar
Datadog + VictorOps Webinar
 
Dataday Texas 2016 - Datadog
Dataday Texas 2016 - DatadogDataday Texas 2016 - Datadog
Dataday Texas 2016 - Datadog
 
Docker Usage Patterns - Meetup Docker Paris - November, 10th 2015
Docker Usage Patterns - Meetup Docker Paris - November, 10th 2015Docker Usage Patterns - Meetup Docker Paris - November, 10th 2015
Docker Usage Patterns - Meetup Docker Paris - November, 10th 2015
 
PyData NYC 2015 - Automatically Detecting Outliers with Datadog
PyData NYC 2015 - Automatically Detecting Outliers with Datadog PyData NYC 2015 - Automatically Detecting Outliers with Datadog
PyData NYC 2015 - Automatically Detecting Outliers with Datadog
 
Monitoring Docker at Scale - Docker San Francisco Meetup - August 11, 2015
Monitoring Docker at Scale - Docker San Francisco Meetup - August 11, 2015Monitoring Docker at Scale - Docker San Francisco Meetup - August 11, 2015
Monitoring Docker at Scale - Docker San Francisco Meetup - August 11, 2015
 
Monitoring Docker containers - Docker NYC Feb 2015
Monitoring Docker containers - Docker NYC Feb 2015Monitoring Docker containers - Docker NYC Feb 2015
Monitoring Docker containers - Docker NYC Feb 2015
 
Running & Monitoring Docker at Scale
Running & Monitoring Docker at ScaleRunning & Monitoring Docker at Scale
Running & Monitoring Docker at Scale
 
Treating Infrastructure as Garbage
Treating Infrastructure as GarbageTreating Infrastructure as Garbage
Treating Infrastructure as Garbage
 
Events and metrics the Lifeblood of Webops
Events and metrics the Lifeblood of WebopsEvents and metrics the Lifeblood of Webops
Events and metrics the Lifeblood of Webops
 
The Data Mullet: From all SQL to No SQL back to Some SQL
The Data Mullet: From all SQL to No SQL back to Some SQLThe Data Mullet: From all SQL to No SQL back to Some SQL
The Data Mullet: From all SQL to No SQL back to Some SQL
 
Big (IT) data
Big (IT) dataBig (IT) data
Big (IT) data
 
Deep dive into Nagios analytics
Deep dive into Nagios analyticsDeep dive into Nagios analytics
Deep dive into Nagios analytics
 
Just enough web ops for web developers
Just enough web ops for web developersJust enough web ops for web developers
Just enough web ops for web developers
 
Customer Ops: DevOps <3 customer support
Customer Ops: DevOps <3 customer supportCustomer Ops: DevOps <3 customer support
Customer Ops: DevOps <3 customer support
 
I <3 graphs in 20 slides
I <3 graphs in 20 slidesI <3 graphs in 20 slides
I <3 graphs in 20 slides
 
Effective monitoring with StatsD
Effective monitoring with StatsDEffective monitoring with StatsD
Effective monitoring with StatsD
 
Alerting: more signal, less noise, less pain
Alerting: more signal, less noise, less painAlerting: more signal, less noise, less pain
Alerting: more signal, less noise, less pain
 
Fact based monitoring
Fact based monitoringFact based monitoring
Fact based monitoring
 

Último

Leveling Up your Branding and Mastering MERN: Fullstack WebDev
Leveling Up your Branding and Mastering MERN: Fullstack WebDevLeveling Up your Branding and Mastering MERN: Fullstack WebDev
Leveling Up your Branding and Mastering MERN: Fullstack WebDevpmgdscunsri
 
MUT4SLX: Extensions for Mutation Testing of Stateflow Models
MUT4SLX: Extensions for Mutation Testing of Stateflow ModelsMUT4SLX: Extensions for Mutation Testing of Stateflow Models
MUT4SLX: Extensions for Mutation Testing of Stateflow ModelsUniversity of Antwerp
 
Unlocking AI: Navigating Open Source vs. Commercial Frontiers
Unlocking AI:Navigating Open Source vs. Commercial FrontiersUnlocking AI:Navigating Open Source vs. Commercial Frontiers
Unlocking AI: Navigating Open Source vs. Commercial FrontiersRaphaël Semeteys
 
8 key point on optimizing web hosting services in your business.pdf
8 key point on optimizing web hosting services in your business.pdf8 key point on optimizing web hosting services in your business.pdf
8 key point on optimizing web hosting services in your business.pdfOffsiteNOC
 
Einstein Copilot Conversational AI for your CRM.pdf
Einstein Copilot Conversational AI for your CRM.pdfEinstein Copilot Conversational AI for your CRM.pdf
Einstein Copilot Conversational AI for your CRM.pdfCloudMetic
 
8 Steps to Build a LangChain RAG Chatbot.
8 Steps to Build a LangChain RAG Chatbot.8 Steps to Build a LangChain RAG Chatbot.
8 Steps to Build a LangChain RAG Chatbot.Ritesh Kanjee
 
If your code could speak, what would it tell you? Let GitHub Copilot Chat hel...
If your code could speak, what would it tell you? Let GitHub Copilot Chat hel...If your code could speak, what would it tell you? Let GitHub Copilot Chat hel...
If your code could speak, what would it tell you? Let GitHub Copilot Chat hel...Maxim Salnikov
 
renewable energy renewable energy renewable energy renewable energy
renewable energy renewable energy renewable energy  renewable energyrenewable energy renewable energy renewable energy  renewable energy
renewable energy renewable energy renewable energy renewable energyjeyasrig
 
Take Advantage of Mx Tracking Flight Scheduling Solutions to Streamline Your ...
Take Advantage of Mx Tracking Flight Scheduling Solutions to Streamline Your ...Take Advantage of Mx Tracking Flight Scheduling Solutions to Streamline Your ...
Take Advantage of Mx Tracking Flight Scheduling Solutions to Streamline Your ...MyFAA
 
Enterprise Content Managements Solutions
Enterprise Content Managements SolutionsEnterprise Content Managements Solutions
Enterprise Content Managements SolutionsIQBG inc
 
BATbern52 Swisscom's Journey into Data Mesh
BATbern52 Swisscom's Journey into Data MeshBATbern52 Swisscom's Journey into Data Mesh
BATbern52 Swisscom's Journey into Data MeshBATbern
 
User Experience Designer | Kaylee Miller Resume
User Experience Designer | Kaylee Miller ResumeUser Experience Designer | Kaylee Miller Resume
User Experience Designer | Kaylee Miller ResumeKaylee Miller
 
MinionLabs_Mr. Gokul Srinivas_Young Entrepreneur
MinionLabs_Mr. Gokul Srinivas_Young EntrepreneurMinionLabs_Mr. Gokul Srinivas_Young Entrepreneur
MinionLabs_Mr. Gokul Srinivas_Young EntrepreneurPriyadarshini T
 
BusinessGPT - SECURITY AND GOVERNANCE FOR GENERATIVE AI.pptx
BusinessGPT  - SECURITY AND GOVERNANCE  FOR GENERATIVE AI.pptxBusinessGPT  - SECURITY AND GOVERNANCE  FOR GENERATIVE AI.pptx
BusinessGPT - SECURITY AND GOVERNANCE FOR GENERATIVE AI.pptxAGATSoftware
 
Practical Advice for FDA’s 510(k) Requirements.pdf
Practical Advice for FDA’s 510(k) Requirements.pdfPractical Advice for FDA’s 510(k) Requirements.pdf
Practical Advice for FDA’s 510(k) Requirements.pdfICS
 
Steps to Successfully Hire Ionic Developers
Steps to Successfully Hire Ionic DevelopersSteps to Successfully Hire Ionic Developers
Steps to Successfully Hire Ionic Developersmichealwillson701
 
Building Generative AI-infused apps: what's possible and how to start
Building Generative AI-infused apps: what's possible and how to startBuilding Generative AI-infused apps: what's possible and how to start
Building Generative AI-infused apps: what's possible and how to startMaxim Salnikov
 
Mobile App Development process | Expert Tips
Mobile App Development process | Expert TipsMobile App Development process | Expert Tips
Mobile App Development process | Expert Tipsmichealwillson701
 
Technical improvements. Reasons. Methods. Estimations. CJ
Technical improvements.  Reasons. Methods. Estimations. CJTechnical improvements.  Reasons. Methods. Estimations. CJ
Technical improvements. Reasons. Methods. Estimations. CJpolinaucc
 
03.2024_North America VMUG Optimizing RevOps using the power of ChatGPT in Ma...
03.2024_North America VMUG Optimizing RevOps using the power of ChatGPT in Ma...03.2024_North America VMUG Optimizing RevOps using the power of ChatGPT in Ma...
03.2024_North America VMUG Optimizing RevOps using the power of ChatGPT in Ma...jackiepotts6
 

Último (20)

Leveling Up your Branding and Mastering MERN: Fullstack WebDev
Leveling Up your Branding and Mastering MERN: Fullstack WebDevLeveling Up your Branding and Mastering MERN: Fullstack WebDev
Leveling Up your Branding and Mastering MERN: Fullstack WebDev
 
MUT4SLX: Extensions for Mutation Testing of Stateflow Models
MUT4SLX: Extensions for Mutation Testing of Stateflow ModelsMUT4SLX: Extensions for Mutation Testing of Stateflow Models
MUT4SLX: Extensions for Mutation Testing of Stateflow Models
 
Unlocking AI: Navigating Open Source vs. Commercial Frontiers
Unlocking AI:Navigating Open Source vs. Commercial FrontiersUnlocking AI:Navigating Open Source vs. Commercial Frontiers
Unlocking AI: Navigating Open Source vs. Commercial Frontiers
 
8 key point on optimizing web hosting services in your business.pdf
8 key point on optimizing web hosting services in your business.pdf8 key point on optimizing web hosting services in your business.pdf
8 key point on optimizing web hosting services in your business.pdf
 
Einstein Copilot Conversational AI for your CRM.pdf
Einstein Copilot Conversational AI for your CRM.pdfEinstein Copilot Conversational AI for your CRM.pdf
Einstein Copilot Conversational AI for your CRM.pdf
 
8 Steps to Build a LangChain RAG Chatbot.
8 Steps to Build a LangChain RAG Chatbot.8 Steps to Build a LangChain RAG Chatbot.
8 Steps to Build a LangChain RAG Chatbot.
 
If your code could speak, what would it tell you? Let GitHub Copilot Chat hel...
If your code could speak, what would it tell you? Let GitHub Copilot Chat hel...If your code could speak, what would it tell you? Let GitHub Copilot Chat hel...
If your code could speak, what would it tell you? Let GitHub Copilot Chat hel...
 
renewable energy renewable energy renewable energy renewable energy
renewable energy renewable energy renewable energy  renewable energyrenewable energy renewable energy renewable energy  renewable energy
renewable energy renewable energy renewable energy renewable energy
 
Take Advantage of Mx Tracking Flight Scheduling Solutions to Streamline Your ...
Take Advantage of Mx Tracking Flight Scheduling Solutions to Streamline Your ...Take Advantage of Mx Tracking Flight Scheduling Solutions to Streamline Your ...
Take Advantage of Mx Tracking Flight Scheduling Solutions to Streamline Your ...
 
Enterprise Content Managements Solutions
Enterprise Content Managements SolutionsEnterprise Content Managements Solutions
Enterprise Content Managements Solutions
 
BATbern52 Swisscom's Journey into Data Mesh
BATbern52 Swisscom's Journey into Data MeshBATbern52 Swisscom's Journey into Data Mesh
BATbern52 Swisscom's Journey into Data Mesh
 
User Experience Designer | Kaylee Miller Resume
User Experience Designer | Kaylee Miller ResumeUser Experience Designer | Kaylee Miller Resume
User Experience Designer | Kaylee Miller Resume
 
MinionLabs_Mr. Gokul Srinivas_Young Entrepreneur
MinionLabs_Mr. Gokul Srinivas_Young EntrepreneurMinionLabs_Mr. Gokul Srinivas_Young Entrepreneur
MinionLabs_Mr. Gokul Srinivas_Young Entrepreneur
 
BusinessGPT - SECURITY AND GOVERNANCE FOR GENERATIVE AI.pptx
BusinessGPT  - SECURITY AND GOVERNANCE  FOR GENERATIVE AI.pptxBusinessGPT  - SECURITY AND GOVERNANCE  FOR GENERATIVE AI.pptx
BusinessGPT - SECURITY AND GOVERNANCE FOR GENERATIVE AI.pptx
 
Practical Advice for FDA’s 510(k) Requirements.pdf
Practical Advice for FDA’s 510(k) Requirements.pdfPractical Advice for FDA’s 510(k) Requirements.pdf
Practical Advice for FDA’s 510(k) Requirements.pdf
 
Steps to Successfully Hire Ionic Developers
Steps to Successfully Hire Ionic DevelopersSteps to Successfully Hire Ionic Developers
Steps to Successfully Hire Ionic Developers
 
Building Generative AI-infused apps: what's possible and how to start
Building Generative AI-infused apps: what's possible and how to startBuilding Generative AI-infused apps: what's possible and how to start
Building Generative AI-infused apps: what's possible and how to start
 
Mobile App Development process | Expert Tips
Mobile App Development process | Expert TipsMobile App Development process | Expert Tips
Mobile App Development process | Expert Tips
 
Technical improvements. Reasons. Methods. Estimations. CJ
Technical improvements.  Reasons. Methods. Estimations. CJTechnical improvements.  Reasons. Methods. Estimations. CJ
Technical improvements. Reasons. Methods. Estimations. CJ
 
03.2024_North America VMUG Optimizing RevOps using the power of ChatGPT in Ma...
03.2024_North America VMUG Optimizing RevOps using the power of ChatGPT in Ma...03.2024_North America VMUG Optimizing RevOps using the power of ChatGPT in Ma...
03.2024_North America VMUG Optimizing RevOps using the power of ChatGPT in Ma...
 

What it Means to be a Next-Generation Managed Service Provider

  • 2. • The duration of this webinar is 60 minutes • Q+A will take place at the end • Ask questions via the ”chat” panel • Please keep yourself on mute • This webinar will be recorded Webinar Logistics
  • 3. John Gray SVP, Alliances Datadog Thomas Robinson Solutions Architect Amazon Web Services Patrick Hannah VP, Engineering CloudHesive Today’s Presenters
  • 4. Built for modern infrastructure Your infrastructure has changed, you need a different way to manage your stack #MonitorAllTheThings You need a single pane of glass for Operations and Development Teams Made for org-wide adoption You need monitoring to be easy, flexible, scalable - so that the entire department will use it Why Datadog
  • 5. Cloud-ready Your infrastructure will change, you will need a different way to manage your new stack Bridge dev and ops You’ve always wanted a single pain of glass for Ops + Dev Teams, with the cloud, you’ll need it Streamlining dev and deployment cycles You need monitoring to be easy, flexible, scalable – so that the entire department will use it Why Datadog
  • 6. Infrastructure-wide visibility Your customers’ servers, Your customers’ clouds, Your customers’ metrics, Your customers’ apps, Your Team. Together in one place. Create custom KPIs and composite metrics Compare and correlate metrics from multiple IT components Track events from the systems in your environment
  • 7. 1. Quickly resolve your customers’ critical issues and meet SLAs 2. Serve more customers efficiently with monitoring automation 3. Start providing value to your customers in minutes Why Datadog for your managed services business Provide deep insight into your customers’ next generation cloud-based infrastructures 1. Technical and sales onboarding training and resources 2. Co-marketing activities including demand generation, content creation, email templates 3. Dedicated Partner Success Team focused on partner success and grow What we provide Program benefits
  • 8. AWS MANAGED SERVICE PROVIDER (MSP) PARTNER PROGRAM THOMAS ROBINSON SOLUTION ARCHITECT, MSP PROGRAM TECHNICAL LEAD
  • 9. AWS PARTNER NETWORK THE APN HAS ADDED 10,000+ OVER THE PAST 12 MONTHS 100%Y o Y AWS Consulting Partners 130%Y o Y AWS Managed Service Partners O n A W S M a r k e t p l a c e G r o w t h U s e A P N p a r t n e r s o l u t i o n s & s e r v i c e s 90%+ Fortune 100 60% Partners Headquartered Outside U.S. 370M EC2 Hours Per Month
  • 10. C O N S U L T I N G P A R T N E R S AWS PARTNER NETWORK T E C H N O L O G Y P A R T N E R S P r o f e s s i o n a l s e r v i c e s f i r m s t h a t h e l p c u s t o m e r s o f a l l s i z e s d e s i g n , a r c h i t e c t , m i g r a t e , o r b u i l d n e w a p p l i c a t i o n s o n AW S C o m m e r c i a l s o f t w a r e a n d I n t e r n e t s e r v i c e s c o m p a n i e s t h a t p r o v i d e s o f t w a r e s o l u t i o n s t h a t a r e e i t h e r h o s t e d o n , o r i n t e g r a t e d w i t h A W S
  • 12. A SHIFT HAS OCCURRED New Approaches New Ways to Add Value Customer Engagement DevOps & Automation Dynamic & Agile
  • 13. WHAT IS A NEXT GEN MSP? P l a n & D e s i g n B u i l d & M i g r a t e R u n & O p e r a t e O p t i m i z e “I need help migrating, running, & optimizing my AWS workloads.”
  • 14. A W S M A N A G E D S E R V I C E P R O V I D E R P R O G R A M T h e A W S M S P p r o g r a m p r o v i d e s q u a l i f i e d A P N C o n s u l t i n g P a r t n e r s w h o a r e s k i l l e d a t c l o u d i n f r a s t r u c t u r e a n d a p p l i c a t i o n m i g r a t i o n , a n d d e l i v e r v a l u e t o c u s t o m e r s b y o f f e r i n g p r o a c t i v e m o n i t o r i n g , a u t o m a t i o n , a n d m a n a g e m e n t o f t h e i r c u s t o m e r ’ s e n v i r o n m e n t w i t h b u s i n e s s , m a r k e t i n g a n d e n a b l e m e n t b e n e f i t s . AWS MSP PROGRAM
  • 15. W H Y B E C O M E A N A W S M S P P A R T N E R ? AWS MSP PROGRAM • G a i n a c c e s s t o a w i d e r a n g e o f M S P - s p e c i f i c b u s i n e s s , t e c h n i c a l , a n d m a r k e t i n g b e n e f i t s • P o s i t i o n y o u r f i r m a s a n e x t g e n M S P a n d b e p r o m o t e d a s a n AW S M a n a g e d S e r v i c e P a r t n e r o n t h e AW S w e b s i t e • A c c e s s t o e x c l u s i v e M S P M a r k e t i n g C a m p a i g n s a n d C o n t e n t • C o n s u l t a t i v e 3 r d P a r t y Va l i d a t i o n A u d i t • F a s t e r p a c e o f g r o w t h ( 1 3 0 % y e a r - o v e r - y e a r c o m p a r e d t o 111 % f o r n o n - M S P A P N C o n s u l t i n g P a r t n e r )
  • 16. S e r v i c e D e s k & C u s t o m e r S u p p o r t S L A s & R e p o r t i n g S e c u r i t y M a n a g e m e n t D e v O p s & A u t o m a t i o n B i l l i n g & C o s t M a n a g e m e n t P r o c e s s & C o s t O p t i m i z a t i o n B u s i n e s s H e a l t h & M a n a g e m e n t C u s t o m e r O b s e s s i o n S o l u t i o n D e s i g n C a p a b i l i t i e s I n f r a s t r u c t u r e & A p p l i c a t i o n M i g r a t i o n C a p a b i l i t i e s AWS MSP PROGRAM
  • 17. WHAT IT MEANS TO BE A NEXT-GENERATION MSP PATRICK HANNAH VP OF ENGINEERING, CLOUDHESIVE
  • 18. • Who am I? • What is my background? • What do I hope to get out of this presentation? • How am I using AWS? • What do I love about AWS? Who am I?
  • 19. Professional Services • Assessment (Current environment, datacenter or cloud footprint) • Strategy (Getting to the future state) • Migration (Environment-to-cloud, Datacenter-to-cloud) • Implementation (Point solutions) • Support (Break/fix and ongoing enhancement) DevOps Services • Assessment • Strategy • Implementation (Point solutions) • Management (Supporting infrastructure, solutions or ongoing enhancement) • Support (Break/fix and ongoing enhancement) Who is CloudHesive Managed Security Services (SecOps) • Encryption as a Service (EaaS) – encryption at rest and in flight • End Point Security as a Service • Threat Management • SOC II Type 2 Validated Next Generation Managed Services • Leveraging our Professional, DevOps and Managed Security Services • Single payer billing • Intelligent operations and automation • AWS Audited
  • 20. Problem Statement: I need to be able to (monitor|get) information about my “things”. What’s important? What are my things? • Platforms • Environments • Systems • Servers • Services • Applications • Literal Things What characteristics of my things do I care about? • Is it up/down? • Have I crossed some sort of arbitrary threshold? • Is there an interesting event or lack thereof? • Is there a certain quantity of either?
  • 21. Difference sources of data: • AWS, CloudWatch • AWS, CloudTrail • AWS, Config • Linux proc • Linux syslog • Windows WMI • Windows Event Log • Application Logs • Third party tool logs (APM, Security, etc.) How does that translate on AWS? Different methods of alerting: • E-Mail • SMS • Voice • Push Different methods of collecting: • Native APIs • Agents
  • 22. • No trending • No single pane of glass • Redundant work • Lost data What’s the outcome of this approach?
  • 23. Problem Statement: I need CONTEXT about the alerts I get from my “things”. What’s really important? Why? Things can carry different SLAs, depending on: • Type of environment • Where it sits in the lifecycle • What it does (mission critical, back office) • Type of customer (industry) • Does it heal itself? (autoscaling, recovery, etc.) • Context
  • 24. Datadog is central to our event monitoring platform How does CloudHesive solve it? How does it work? • Data from the sources described on previous slides + more are sent to Datadog • It performs the initial triage via a series of pre-configured monitors • Non Severity 1 go to a work queue (Jira) • Severity 1 go to an escalation queue (OpsGenie) • All events persisted to long term storage (SumoLogic)
  • 25. With outlier detection we are able to find underperforming members of clusters, autoscaled groups, etc and act appropriately. Outlier Detection!
  • 26. We covered real time but what about looking backwards? • Root cause analysis (eg. on this date/time the application underperformed – why?) • Change planning (eg. expecting a 10x increase in traffic, will our autoscaling strategy work?) What else can we do?
  • 27. Problem Statement: Now that I know what I want to monitor, how do I select the right tools? Integrations and the AWS Ecosystem Implemented by default • AWS Integration/Agent Installation/Agent Configuration Integrates • Over 100 integrations What does it do best? • Time series data, Key/Value pairs Scales (Operationally and Technically) • Ever run your own monitoring platform? The last thing you want is your platform to be impacted by the same event impacting your monitored infrastructure
  • 28. • Insight across customers • New customers get a default suite of integrations and monitors • Support customer DevOps initiatives • Stronger Next Generation MSP • Security? Security! What powers do we gain?
  • 29. Next Steps Questions about monitoring or the Datadog Partner Program? John Gray partners@datadoghq.com Questions around the AWS MSP Partner program? Thomas Robinson Aws-msp@amazon.com Questions around being a Datadog partner? Patrick Hannah Patrick.hannah@cloudhesive.com

Notas del editor

  1. Who are you? Patrick Hannah, CloudHesive (where I’m a co-founder and the VP of Engineering) What’s your background? Architecture, Security, DevOps on AWS for 6 years, prior to that Contact Center Architecture and Operations for over 8 years. What do you hope to get out of the presentation? I want to help folks get as the same out of AWS as I have. I’d also like to see how others are using AWS – as with just about any thing in technology there are multiple ways to do something right (or wrong). How are you using cloud services? Every aspect of my life  From Alexa powered Echos to my day job. Why did you pick the cloud services that you are using? AWS is at the forefront of Cloud; their service catalog can support most traditional on-premise software use cases (infrastructure) but they also offer more abstracted services for software built on the cloud that negate the need to manage server infrastructure – on premise or on cloud.
  2. CloudHesive offers end-to-end solutions to migrate and securely operate our customers’ mission critical applications on the Public Cloud. We were founded in 2014 with the purpose of enabling our customers’ use of the Public Cloud, specifically AWS. Our offerings span four distinct categories: Professional Services, DevOps, Managed Security Services and Next Generation Managed Services.
  3. What’s important? That’s a somewhat vague question. In this case, I’m referring to monitoring. Something for which you will get varying answer from depending on who you ask. To me, monitoring solves the general challenge faced by developers, operations, business, etc. around the need for visibility into the full stack of their infrastructure. This spans a number of different components and can be performed in a number of different ways, and is often encountered with strong opinion.
  4. The visibility provided by AWS into the infrastructure and the instrumentation provided by development platform specific libraries exponentially grows the data points generated by and associated with the application. Coupled with the various streams of alerting (noise), you may find your team spending more time managing alerts than doing their jobs.
  5. Traditional approaches to monitoring fail to address the challenge of correlating data across multiple services. You lose the ability to trend and you need to review multiple systems to come to a conclusion, resulting in redundant work and the loss of important monitoring data.
  6. So monitoring is important, but what’s really important? More than getting data thrown at you, you need context to understand the importance of that data and action to take. Outage of a development environment during non-development hours is not a Sev1 Crossing a CPU threshold in an auto scaled environment may not be important. Am I looking at data from a real time perspective? Or Historical?
  7. DataDog is the tool used to collect initial events from our various systems. CloudHesive has been using DataDog for over two years to collect, sort through, process and categorize the data received from these systems and make decisions on what action to take. Coupled with a rich set of integrations (like the ones listed on this slide + more) it is an excellent platform for Next Generation MSPs to leverage to solve their need to corral the ever growing sets of operational data. More challenges exist to solve, specifically around dealing with fixed thresholds, fixed counts and alerting based on pattern (or lack of pattern) matching. So what else can we do?
  8. Leveraging the outlier detection capabilities in DataDog, we have the ability to look at how pools of resources are behaving and identify underperforming (or simply not working resources). In the past, this has provided us insight into poorly performing hardware (think first generation instances, overprovisioned instances and bare metal issues (neither on AWS). It’s also helped us identify application issues around garbage collection, configuration, etc.
  9. The focus of the presentation to this point has been about the real time collection, processing and alerting of data in DataDog. Just as important, though, we need to be able to look back to identify events that may have been overlooked, perform root cause analysis or perform capacity planning.
  10. As mentioned before, monitoring tools have been around for some time now and the AWS Ecosystem is filled with them. How do I pick the right one for my use case? When we selected DataDog, we reviewed about 8 monitoring platforms, from open source to commercial to SaaS. We ultimately decided it is not our core business to run a monitoring platform (for which I did in a previous life and still have nightmares about). My initial philosophy on monitoring was agentless, but after running into numerous SNMP bugs, warmed up to the idea (pre DataDog). With that said, we narrowed down the list and ultimately selected DataDog for it’s ease of implementation (pretty much there by default) and it’s strong suite of integrations. DataDog recently introduced an APM and is capable of handling events (such as Windows Event Log), which makes it seem like a single tool to do all jobs. In our case, we went with a strategy where DataDog was the prime collector, processor and forwarder for threshold based events (time series data, etc.) and went through similar processes finding Log management, APM and Escalation platforms. We were pleasantly surprised to see how well these integrated, specifically New Relic, SumoLogic, OpsGenie and Slack. Even better, if an integration didn’t’ exist, we wrote it. As a matter of fact DataDog is the key engine in some of the autoscaling solutions we have implemented and we have gone so far as to recommend it’s use in IoT devices.
  11. To conclude my presentation, in the final slide I will talk about the powers we gained from implementing DataDog. We have unparalleled insight across our customers. This let’s us identify platform wide outages as well as make recommendations to customers on which configurations work best for their particular use case. New customers get the collective insight we have by way of a default suite of integrations and monitors. It also allows us to support our customer’s DevOps initiatives in a number of ways, but cannot stress how well it works with AutoScaling. All-in-all it makes us a stronger Next Generation MSP, and we continue to improve our operations with it, and visa versa. Last but not least, while we focused on operational monitoring, DataDog is not only designed with security in mind, but helps support our managed security services as well. Operational metrics are good early indicators of Security Breaches, and we have successfully identified issues in the past based on them (not to mention security tools can pass their data into DataDog and likewise).