This talk was presented at IP Expo Manchester in May, 2016. the themes discussed are:
- how does machine data relate to devops?
- how can tracking this data lead to better outcomes?
- what types of data are important to track?
This talk focus on what admins need to know about the HTTP Event Collector. Why it exists, how it differs from existing options, and how to configure, manage, deploy and scale it.
Testing in Production - presentation & webinar by Amber RaceApplitools
** Full webinar recording: https://youtu.be/8-ymeVdNxSE **
"Watch this deep-dive session, where I demonstrate multiple methods you can use for collecting production data, as well as give real-life examples of how production data can help you find bugs, and even enable running tests in production." -- Amber Race
Our software doesn't run in a test environment with mock users — it runs out in the real world, being used by thousands or even millions of real people, with thousands of variations of devices, screen sizes, and operating systems.
Learn why you need to be collecting this data -- and how you can make it actionable for continuous testing, learning and improving, as well as how it can help you make your own services more transparent and user-friendly to your customers.
Watch this webinar by expert Amber Race -- Sr. SDET @ Big Fish Games -- and learn:
-- What monitoring and logging tools are available
-- How to decide what to track
-- Ways to create meaningful reports with monitoring results
-- How to use production data to create more realistic tests
-- Strategies for using real-time monitoring to run tests in production
Take the ideas of DevOps and the notion of a delivery pipeline and combine them for an AppSec Pipeline. This talk covers the open source components used to create an AppSec Pipeline and the benefits we received from its implementation.
Peeling the Onion: Making Sense of the Layers of API SecurityMatt Tesauro
APIs are everywhere. Any business with a mobile app, modern web apps (SPAs), using the cloud, doing a digital transformation, integrating with business partners, running microservices or using kubernetes has APIs. There's a good foundation of AppSec knowledge out there - thanks in part to OWASP but API Security isn't exactly the same as AppSec. Additional complexity is part of the landscape with multiple competing API technologies like REST, gRPC and GraphQL plus stakeholders spread across multiple parts of the business. How to do you make sense of API Security landscape? This talk will cover the three fundamental areas to consider, the various chess pieces and the many ways those pieces can be put on your API chessboard. The goal is for you to leave knowing how to map out your API Security landscape and reach a state of solid API Security.
This talk focus on what admins need to know about the HTTP Event Collector. Why it exists, how it differs from existing options, and how to configure, manage, deploy and scale it.
Testing in Production - presentation & webinar by Amber RaceApplitools
** Full webinar recording: https://youtu.be/8-ymeVdNxSE **
"Watch this deep-dive session, where I demonstrate multiple methods you can use for collecting production data, as well as give real-life examples of how production data can help you find bugs, and even enable running tests in production." -- Amber Race
Our software doesn't run in a test environment with mock users — it runs out in the real world, being used by thousands or even millions of real people, with thousands of variations of devices, screen sizes, and operating systems.
Learn why you need to be collecting this data -- and how you can make it actionable for continuous testing, learning and improving, as well as how it can help you make your own services more transparent and user-friendly to your customers.
Watch this webinar by expert Amber Race -- Sr. SDET @ Big Fish Games -- and learn:
-- What monitoring and logging tools are available
-- How to decide what to track
-- Ways to create meaningful reports with monitoring results
-- How to use production data to create more realistic tests
-- Strategies for using real-time monitoring to run tests in production
Take the ideas of DevOps and the notion of a delivery pipeline and combine them for an AppSec Pipeline. This talk covers the open source components used to create an AppSec Pipeline and the benefits we received from its implementation.
Peeling the Onion: Making Sense of the Layers of API SecurityMatt Tesauro
APIs are everywhere. Any business with a mobile app, modern web apps (SPAs), using the cloud, doing a digital transformation, integrating with business partners, running microservices or using kubernetes has APIs. There's a good foundation of AppSec knowledge out there - thanks in part to OWASP but API Security isn't exactly the same as AppSec. Additional complexity is part of the landscape with multiple competing API technologies like REST, gRPC and GraphQL plus stakeholders spread across multiple parts of the business. How to do you make sense of API Security landscape? This talk will cover the three fundamental areas to consider, the various chess pieces and the many ways those pieces can be put on your API chessboard. The goal is for you to leave knowing how to map out your API Security landscape and reach a state of solid API Security.
Boston DevOps Days 2016: Implementing Metrics Driven DevOps - Why and HowAndreas Grabner
How can we detect a bad deployment before it hits production? By automatically looking at the right architectural metrics in your CI/CD and stop a build before its too late. Lets hook up your test automation with app metrics and use them as quality gates to stop bad builds early!
WSO2 Guest Webinar: Building Enterprise Awareness with API Analytics in the A...WSO2
To view recording of this webinar please use below URL:
http://wso2.com/library/webinars/2015/07/building-enterprise-awareness-with-api-analytics-in-the-api-economy/
An awareness of who is accessing digital resources
How users put these resources to use
Which applications they are using it within
Network level information about where they are accessing the resources from
Automate Application Quality Detection. Use Key Application Quality Metrics (# of SQL, Memory Allocated, CPU & GC Times, ...) captured during Automated Test Executions.
Let these Metrics act as Quality Gates. Leads to better quality software reaching the end of the Pipeline
Building an Open Source AppSec Pipeline - 2015 Texas Linux FestMatt Tesauro
Take the ideas of DevOps and the notion of a delivery pipeline and combine them for an AppSec Pipeline. This talk covers the open source components used to create an AppSec Pipeline and the benefits we received from its implementation.
Taking the Best of Agile, DevOps and CI/CD into securityMatt Tesauro
Software development continues to move faster with the rise of Agile, DevOps, and CI/CD, while traditional AppSec continues with slow delivery and failure to scale. In this talk, we’ll discuss lessons learned from forward thinking software development at a multitude of companies, and show you how to apply them to your org. By taking the best of DevOps, CI/CD and Agile, you can iteratively up your AppSec program and ascend out of traditional AppSec pitfalls.
My talk from Secure Coding Virtual Summit (2021-03-24)
In this talk, we shared some of our highlights of the GraphQL Europe conference.
You can see the full coverage of the conference here: https://www.graph.cool/talks/
OOP 2016 - Building Software That Eats The WorldAndreas Grabner
According to VC and web pioneer Marc Andreessen software is eating the world. Evidence proves he is right. Uber, the biggest taxi company, has no cars, AirBnB, the biggest hotel service, has no rooms and there are many more examples. Looking at these success stories there is a clear blueprint how to build software that eats the world. Just a quick heads up: It is not about building your typical web application any more.
Taking AppSec to 11: AppSec Pipeline, DevOps and Making Things BetterMatt Tesauro
Slide deck from AppSec California 2016 + some additional slides.
Abstract:
How many applications are in your company’s portfolio? What’s the headcount for your AppSec team? Whatever your situation is, I am sure the numbers are not in your favor. Its not time to find a new career, it's time to up your game. This talk will cover how to take your small merry band of AppSec professionals and scale it up to a virtual army. By taking the best of DevOps, Agile and CI/CD, you can iteratively up your AppSec game over time and begin your ascent out of the security hole you are in.
The talk covers real world experiences running AppSec groups at two different companies. Rackspace with approximately 4,000+ employees and Pearson with 40,000+. Both have an international presence and far more apps and developers that AppSec staff. The talk covers the key principles to speed and scale up AppSec programs using an AppSec Pipeline as well as practical examples of these practices put into use. Start early and begin to buy down the technical security dept which feels inevitable with more traditional AppSec program thinking.
Purple is the New Black: Modern Approaches for Application SecurityTanya Janca
Gone are the days when breaches were rare and security could safely be put low on the priority list; product security is now a customer demand and cyber crime has reached epic proportions. Our idolization of hackers, penetration testing and ‘breaking’ has not resulted in secure software for our industry, only egos, stereotypes and unaffordable security models. Modern application security approaches are needed for new technologies, and this talk will outline several strategies for new tech, one by one. The future of security is PURPLE.
AppSec Pipelines and Event based SecurityMatt Tesauro
Presented at AppSec California 2017, this is a continuation of earlier talks about AppSec Pipelines and demonstrates 1st and 2nd Gen Pipelines, how OWASP is creating a pipeline for its projects and how several companies have benefited from combining DevOps, Agile, CI/CD and Security into an AppSec Pipeline to move beyond traditional AppSec testing.
Boston DevOps Days 2016: Implementing Metrics Driven DevOps - Why and HowAndreas Grabner
How can we detect a bad deployment before it hits production? By automatically looking at the right architectural metrics in your CI/CD and stop a build before its too late. Lets hook up your test automation with app metrics and use them as quality gates to stop bad builds early!
WSO2 Guest Webinar: Building Enterprise Awareness with API Analytics in the A...WSO2
To view recording of this webinar please use below URL:
http://wso2.com/library/webinars/2015/07/building-enterprise-awareness-with-api-analytics-in-the-api-economy/
An awareness of who is accessing digital resources
How users put these resources to use
Which applications they are using it within
Network level information about where they are accessing the resources from
Automate Application Quality Detection. Use Key Application Quality Metrics (# of SQL, Memory Allocated, CPU & GC Times, ...) captured during Automated Test Executions.
Let these Metrics act as Quality Gates. Leads to better quality software reaching the end of the Pipeline
Building an Open Source AppSec Pipeline - 2015 Texas Linux FestMatt Tesauro
Take the ideas of DevOps and the notion of a delivery pipeline and combine them for an AppSec Pipeline. This talk covers the open source components used to create an AppSec Pipeline and the benefits we received from its implementation.
Taking the Best of Agile, DevOps and CI/CD into securityMatt Tesauro
Software development continues to move faster with the rise of Agile, DevOps, and CI/CD, while traditional AppSec continues with slow delivery and failure to scale. In this talk, we’ll discuss lessons learned from forward thinking software development at a multitude of companies, and show you how to apply them to your org. By taking the best of DevOps, CI/CD and Agile, you can iteratively up your AppSec program and ascend out of traditional AppSec pitfalls.
My talk from Secure Coding Virtual Summit (2021-03-24)
In this talk, we shared some of our highlights of the GraphQL Europe conference.
You can see the full coverage of the conference here: https://www.graph.cool/talks/
OOP 2016 - Building Software That Eats The WorldAndreas Grabner
According to VC and web pioneer Marc Andreessen software is eating the world. Evidence proves he is right. Uber, the biggest taxi company, has no cars, AirBnB, the biggest hotel service, has no rooms and there are many more examples. Looking at these success stories there is a clear blueprint how to build software that eats the world. Just a quick heads up: It is not about building your typical web application any more.
Taking AppSec to 11: AppSec Pipeline, DevOps and Making Things BetterMatt Tesauro
Slide deck from AppSec California 2016 + some additional slides.
Abstract:
How many applications are in your company’s portfolio? What’s the headcount for your AppSec team? Whatever your situation is, I am sure the numbers are not in your favor. Its not time to find a new career, it's time to up your game. This talk will cover how to take your small merry band of AppSec professionals and scale it up to a virtual army. By taking the best of DevOps, Agile and CI/CD, you can iteratively up your AppSec game over time and begin your ascent out of the security hole you are in.
The talk covers real world experiences running AppSec groups at two different companies. Rackspace with approximately 4,000+ employees and Pearson with 40,000+. Both have an international presence and far more apps and developers that AppSec staff. The talk covers the key principles to speed and scale up AppSec programs using an AppSec Pipeline as well as practical examples of these practices put into use. Start early and begin to buy down the technical security dept which feels inevitable with more traditional AppSec program thinking.
Purple is the New Black: Modern Approaches for Application SecurityTanya Janca
Gone are the days when breaches were rare and security could safely be put low on the priority list; product security is now a customer demand and cyber crime has reached epic proportions. Our idolization of hackers, penetration testing and ‘breaking’ has not resulted in secure software for our industry, only egos, stereotypes and unaffordable security models. Modern application security approaches are needed for new technologies, and this talk will outline several strategies for new tech, one by one. The future of security is PURPLE.
AppSec Pipelines and Event based SecurityMatt Tesauro
Presented at AppSec California 2017, this is a continuation of earlier talks about AppSec Pipelines and demonstrates 1st and 2nd Gen Pipelines, how OWASP is creating a pipeline for its projects and how several companies have benefited from combining DevOps, Agile, CI/CD and Security into an AppSec Pipeline to move beyond traditional AppSec testing.
IT Operation Analytic for security- MiSSconf(sp1)stelligence
IT Operation Analytic: Using Anomaly Detection , Unsupervised Machine Learning, to distinct normal and abnormal behavior and enhance efficiency of SIEM detection and alert capability.
Accelerate Troubleshooting and Reinvent Monitoring with Interactive Visualiza...Splunk
Time is money, especially when it’s downtime impacting your services. Splunk IT Service Intelligence (ITSI) introduces an enhanced troubleshooting and monitoring experience that enables you to visually investigate issues and prevent outages, faster than ever before.
Thiis demo-rich webinar helps you to understand how you can use Splunk ITSI to:
- Speed up investigations by organizing and correlating relevant metrics and events into “swim lanes”
- Compare performance over time with real-time performance to understand trends and identify systemic issues
- Identify and alert on notable events by creating predefined correlation searches
Logs from machines can tell security incidents but how can they be managed and analyzed properly. This presentation lays foundation of Big Data analytics using information security scenarios for example and also states the practical analytics from my experience.
This slide was presented in MiSSConf(SP1) June 18, 2016
Secure code review is probably the most effective technique to identify security bugs early in the system development lifecycle.
When used together with automated and manual penetration testing, code review can significantly increase the cost effectiveness of an application security verification effort. This presentation explain how can we start secure code review effectively.
Listen to Your Machines: DevOps Analytics for Better Feedback LoopsSplunk
Effective DevOps Practices for collecting, correlating and analyzing DevOps data. First presented by Splunk's Andi Mann at DevOps Summit at Cloud Expo.
Data-Driven DevOps: Mining Machine Data for 'Metrics that Matter' in a DevOps...Splunk
IT organizations are increasingly using machine data - including in DevOps practices - to get away from 'vanity metrics' and instead to generate 'metrics that matter'. These metrics provide visibility into the delivery of new application code and the business value of DevOps, to both IT and business stakeholders.
Machine data provides DevOps teams and others - including QA, secops, CxOs and LOB leaders - with meaningful and actionable metrics. This allows stakeholders to monitor, measure, and continuously improve the velocity and quality of code throughout the software lifecycle, from dev/test to customer-facing outcomes and business impact.
In this session Andi Mann, chief technology advocate at Splunk, will share core methodologies, interesting case studies, key success factors and 'gotcha' moments from real-world experience with mining machine data to produce 'metrics that matter' in a DevOps context.
Data-Driven DevOps: Improve Velocity and Quality of Software Delivery with Me...Splunk
Much of the value of DevOps comes from a (renewed) focus on measurement, sharing, and continuous feedback loops. In increasingly complex DevOps workflows and environments, and especially in larger, regulated, or more crystallized organizations, these core concepts become even more critical.
This session will show how, by focusing on 'metrics that matter,' you can provide objective, transparent, and meaningful feedback on DevOps processes to all stakeholders. Learn from real-life examples how to use the data generated throughout application delivery to continuously identify, measure, and improve deployment speed, code quality, process efficiency, outsourcing value, security coverage, audit success, customer satisfaction, and business alignment.
Creating a DevOps Practice for Analytics -- Strata Data, September 28, 2017Caserta
Over the past eight or nine years, applying DevOps practices to various areas of technology within business has grown in popularity and produced demonstrable results. These principles are particularly fruitful when applied to a data analytics environment. Bob Eilbacher explains how to implement a strong DevOps practice for data analysis, starting with the necessary cultural changes that must be made at the executive level and ending with an overview of potential DevOps toolchains. Bob also outlines why DevOps and disruption management go hand in hand.
Topics include:
- The benefits of a DevOps approach, with an emphasis on improving quality and efficiency of data analytics
- Why the push for a DevOps practice needs to come from the C-suite and how it can be integrated into all levels of business
- An overview of the best tools for developers, data analysts, and everyone in between, based on the business’s existing data ecosystem
- The challenges that come with transforming into an analytics-driven company and how to overcome them
- Practical use cases from Caserta clients
This presentation was originally given by Bob at the 2017 Strata Data Conference in New York City.
Continuous Testing: A Key to DevOps SuccessTechWell
As IT organizations adopt a DevOps strategy, continuous testing (CT) becomes a key ingredient of the DevOps ecosystem. CT enables faster release cycles, more changes per release, upfront isolation of risks, and reduced operations costs. The approach to scale the traditional automation testing infrastructure, test environments, and test data management requires a culture shift using new tools and techniques. Sujay Honnamane discusses a CT strategy for aspiring and already implemented DevOps organizations. Sujay shares examples of tools, techniques, and practical solutions that include continuous integration using the Jenkins CI server, service virtualization through CA Lisa tools, automated code coverage analysis to create impact-based tests, automated test script load balancing for effective use of test environments, and faster test cycles, providing a holistic approach/workflow for CT. Sujay and his teams have successfully implemented CT for several clients in their DevOps journey to achieve a repeatable and highly predictable software delivery process.
Keys to Continuous Delivery Success - Mark Warren, Product Director, Perforc...Perforce
Many well-known SaaS vendors use Continuous Delivery to update production sites at mind-bogglingly short intervals and non-SaaS organizations are increasingly looking to CD to increase customer satisfaction and be more competitive.This session will review case studies by Perforce customers, including NYSE, CCP Games, salesforce.com and others, to identify key success factors and provide recommendations for starting, or accelerating, the adoption of CD in your organization.
Pivotal korea transformation_strategy_seminar_enterprise_dev_ops_20160630_v1.0minseok kim
devops has been popular in IT ever since emerging cloud technology. to make IT more agile, we need to keep setup goal and measure performance with adopting new cloud native tools.
From 0 to DevOps in 80 Days [Webinar Replay]Dynatrace
From 0 to DevOps in 80 Days
Link to the webinar replay: https://info.dynatrace.com/apm_dtm_ops_17q3_wc_from_enterprise_tocloud_native_na_registration.html
“Innovate or die” may sound extreme, but it’s the only way to thrive in today’s ever competitive market. Bernd Greifeneder, CTO of Dynatrace, wanted to ensure that the company was relevant 5 years from now so he formed an internal incubator with one goal: transform Dynatrace into a Cloud Native DevOps organization.
The incubator focused on what the company needed to do in order to integrate nascent cloud technologies so that they wouldn’t be left in the dust when the inevitable tipping point to cloud arrives. Transforming into a cloud native company would allow for rapid release cycles and provide an embedded feedback loop.
The Results: Dynatrace now has a 99.998% availability of SaaS Service and can deploy changes within an hour if necessary. In parallel, a new SaaS and managed offering is released every 2 weeks with 170 production updates per day.
Watch this recorded webinar as Bernd Greifeneder shares the lessons learned moving Dynatrace from an on-prem company to one that is cloud native.
Bernd discusses:
• The driving factors that led to the transformation
• The goals that were set back in 2011 towards the engineering team
• How to sell such a transformation project in a large enterprise organization
• How to support this multi-year project from top down without impacting regular operations
• What's next on the innovator's mind
Keys to continuous testing for faster delivery euro star webinar TEST Huddle
Your business needs to deliver faster. To accommodate, Development needs to introduce fewer changes but in a much more frequent cadence. This creates a challenge for test teams to keep up with the rapid pace of change without compromising on quality. Automation is paramount to the success or failure of Continuous Delivery, and Continuous Testing enables early and frequent quality feedback throughout the CI/CD pipeline.
In this webinar, Eran & Ayal will explore how to implement Continuous Testing to ensure high quality releases in a Continuous Delivery environment; including what to test and when to automate new functionality in order to optimize your efforts.
DevOps For Everyone: Bringing DevOps Success to Every App and Every Role in y...Siva Rama Krishna Chunduru
Understand DevOps and it's fitment to various types of applications.
Understand various Organization Roles after Org-restructure.
Understand the way to measure the success.
Enterprise Devops Presentation @ Magentys Seminar London May 15 2014Jwooldridge
Thanks to Liam and the crew from Magentys for arranging a fantastic evening of presentations on all things DevOps.
Attached is my presentation from the event on Enterprise Devops.
For those of you who missed it:
“Join the crowd of 100 industry leaders across the Retail, Finance and Digital sectors for an exciting evening of talks in London’s Tech City on DevOps. Enjoy networking with a chilled beer alongside the experts who are making DevOps work and those who want to make it work.
Whether you’re a corporate or start-up, DevOps should be a hot topic so listen to how the experts are achieving great things, hear their views on the trends and discuss the future of DevOps.”
Jonny
enterprisedevops.com
In Data Engineer’s Lunch #68, Will Angel, Technical Product Manager at Caribou Financial, will provide an introduction to DevOps practices and tooling including testing, deployment automation, logging, monitoring, and DevOps principles. Additionally, we will discuss some of the ways that DevOps for data engineering is different from conventional application development.
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Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
Unleash Unlimited Potential with One-Time Purchase
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Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Anthony Dahanne
Les Buildpacks existent depuis plus de 10 ans ! D’abord, ils étaient utilisés pour détecter et construire une application avant de la déployer sur certains PaaS. Ensuite, nous avons pu créer des images Docker (OCI) avec leur dernière génération, les Cloud Native Buildpacks (CNCF en incubation). Sont-ils une bonne alternative au Dockerfile ? Que sont les buildpacks Paketo ? Quelles communautés les soutiennent et comment ?
Venez le découvrir lors de cette session ignite
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
5. Hal really didn’t like
the first two titles,
thought way too long
on a third one, then
gave up and decided
that what really
mattered was the next
slide anyway
6. This is what I’m selling
“DEVOPS IS A SUPERSET, NOT A SUBSET”
15. Yeah, but …
… what are you
achieving?
I’m gonna need you
to come in Sunday.
16. Some DevOps Metrics that Might Matter
Culture
e.g.
• Retention
• Satisfaction
• Callouts
Process
e.g.
• Idea-to-cash
• MTTR
• Deliver time
Quality
e.g.
• Tests passed
• Tests failed
• Best/worst
Systems
e.g.
• Throughput
• Uptime
• Build times
Activity
e.g.
• Commits
• Tests run
• Releases
Impact
e.g.
• Signups
• Checkouts
• Revenue
17. From every tool, every process, every component, on-prem or off
Machine Data Is A
Critical Source Of
DevOps Metrics
18. Industry Leading Platform for Machine Data
Any Machine Data
Online
Services Web
Services
Servers
Security GPS
Location
Storage
Desktops
Networks
Packaged
Applications
Custom
ApplicationsMessaging
Telecoms
Online
Shopping
Cart
Web
Clickstreams
Databases
Energy
Meters
Call Detail
Records
Smartphones
and Devices
RFID
Datacenter
Private
Cloud
Public
Cloud
Enterprise
Scalability
Search and
Investigation
Proactive
Monitoring
Operational
Visibility
Real-time
Business
Insights
Operational Intelligence
19. Visibility Across the Ops Environment
API
SDKs UI
Server, Storage.
N/W
Server
Virtualization
Operating
Systems
Infrastructure
Applications
Mobile
Applications
Cloud Services
Other Tools
Ticketing/Help
Desk
No rigid schemas – add in data from any other source.
Custom
Applications
API Services
20. Visibility Across the Dev Lifecycle
API
SDKs UI
Other Tools
Escalation/
Collaboration
No rigid schemas – add in data from any other source.
Plan Code Build Test/QA Stage Release Config Monitor
30. CI / Build
Server
Code
Review
Task
Tracking
What Data Can You Splunk?
Which code has already been reviewed for this release/sprint? Who has
completed the most code reviews? What code has NOT been reviewed?
Who is changing files? What kinds of files are being changed? What branches are
most active? What types of activities are occurring for a branch?
Version
Control
How many builds completed today/this week/this month? Which check-in kicked
off this build? Which tests ran against this failed build?
Which tasks are assigned to which developers? What progress is being made to
complete assigned tasks? What tasks remain for this release/sprint?
32. Industry Leading Platform for Machine Data
Any Machine Data
Online
Services Web
Services
Servers
Security GPS
Location
Storage
Desktops
Networks
Packaged
Applications
Custom
ApplicationsMessaging
Telecoms
Online
Shopping
Cart
Web
Clickstreams
Databases
Energy
Meters
Call Detail
Records
Smartphones
and Devices
RFID
Datacenter
Private
Cloud
Public
Cloud
Enterprise
Scalability
Search and
Investigation
Proactive
Monitoring
Operational
Visibility
Real-time
Business
Insights
Operational Intelligence
40. curl -k https://<host>:8088/services/collector -H 'Authorization: Splunk <token>' -d
'{"event":"Hello Event Collector"}'
Applications IoT Devices
Agentless, direct data onboarding via a standard API
HTTP Event Collector
Scales to Millions of Events/Second
42. Splunk App for Stream
Enables real-time
insights into private,
public and hybrid
cloud infrastructures
Delivers rapid
deployment, easy
scale out and efficient
wire data capture
Capture and analyze
critical events not
found in logs or with
other collection
methods.
1 2 3
Enhance Operational Intelligence With Wire Data Capture
43. Splunk MINT for Mobile Data
Deliver Better
Performing, More
Reliable Apps
Deliver Real-Time
Analytics
Achieve End-to-End
Visibility
46. Machine Data To Enable Continuous
Improvement
Defect
Information
Capacity
Planning
Quality
Standards
Enhancement
Requests
Integration
Requirements
Acceptance
Metrics
Service Levels
and KPIs
Application Development Test and Acceptance Production
BuildCodePlan Test/QA Stage Release Config Monitor
Infrastructure
Dependencies
47. Increase Delivery Velocity
DevOps Teams Iterate with
Continuous Insights
Product Managers
identify new
opportunities
Code Continuously delivered
to market
Auditors
have visibility
Customers
are happy
48. Improve Code Quality
Code quality scans Static security scans
White BoxDevelopers
check in code
Automated
Acceptance Tests
Dynamic Security
Scans
Black Box
“Chaos Monkey”
tests
Test Fail:
Return
Test Fail:
Return
X
X
Production
QA Prod Pattern
QA Pattern Library
Test Pass:
Promote
Test Pass:
Promote to
Production
Pattern
library used
for test and
QA
53. Where to go for more Info
● DevOps Videos, Customer Stories, Whitepapers
‣ http://splunk.com/DevOps
– Developer Tutorials, Code Samples, Downloads
– http://dev.splunk.com
● Splunk Apps and Plugins
– https://splunkbase.splunk.com
● Blogs for Dev, Ops, and DevOps
– http://blogs.splunk.com
53
57. Real-time dashboards show error rate
in production and impact of pushing
new builds
Developers can search and visualize
web logs, Java logs, eventlogs etc;
trace tx without complex
instrumentation
Alerts notify developers as soon as a
problem arises
57
Find and Fix Issues Faster
58. Gain end-to-end visibility to make
informed decisions
Analytics insights without the need for
additional analytics tools
Ask questions while exploring and
collecting data
58
Push Better Code Using Analytics
59. Powerful Platform for Enterprise Developers
59
REST API
Build Splunk Apps Extend and Integrate Splunk
Simple XML
JavaScript/CSS Extensions C#
JavaScript
Python
Ruby
Java
PHP
Data Models
Search Extensibility
Modular Inputs
SDKs
KV Store
60. Splunk Developer Guidance
Splunk Reference Apps
Complete, working real-world Splunk solutions
built together with partners (Conducive; Auth0)
̶ 2 (pseudo-) production releases
̶ entire code & test repos on GitHub
̶ under Apache 2.0
Associated Guidance
I. Start-to-Finish Journey Documentary
II. Essentials
dev.splunk.com/goto/devguide
63. 63
Improved DevOps Agility
63
Key Customer Benefits
• Increased success rate of deployments
• Detect issues before they affect broad production
• Monitoring deployment process several times per day
-Robert Gonsalves,
Web Operations
“It’s like we were working
without peripheral vision
before and now we have it.”
64. 64
Deliver Better Code Quality
Key Customer Benefits
-Principal Engineer,
Apollo Group
“Developers are now able to look
for errors and troubleshoot issues
five to ten times faster by having
all their event data centralized in
Splunk.”
• Provide full visibility into QA sanity and load testing
before production
• Exceed SLA thresholds with full visibility and benchmark
key infrastructure metrics and errors
• Easier troubleshooting if tests do not contain the
expected results
65. 65
Enable Data-driven Continuous Delivery
-Alison Perkins,
Senior Systems Engineer
“ Dump all the logs into Splunk,
and it starts looking like one big
system, instead of a bazillion
teeny ones that hate each
other.”
Key Customer Benefits
• Quickly validate and troubleshoot code pushes to
production
• Ensure that new code does not negatively impact
performance or user experience
• Reduced one application’s error rate by 2 orders of
magnitude in a matter of weeks
Editor's Notes
- You’ve heard the culture story before, let’s go over that briefly
Splunk Enterprise is fully featured, platform for collecting, searching, monitoring and analyzing machine data and getting operational intelligence. You can monitor both real-time (as the data is streaming) and historical data. Splunk collects machine data securely and reliably from wherever it’s generated in any formant. It stores and indexes the data in real time in a centralized location and protects it with role-based access controls. You can troubleshoot your network problems and investigate security incidents in minutes (not hours or days). Monitor your end-to-end infrastructure to avoid service degradation or outages. Gain real-time visibility and critical insights into customer experience, transactions and behavior.
Splunk can provide insight across the entire application delivery lifecycle. Developers can search and visualize data from entire build pipeline and production environments without needing to access production machines.
When using Splunk to mine machine data our customers and prospects can
1) INCREASE APP DELIVERY VELOCITY
2) IMPROVE CODE QUALITY
3) INCREASE BUSINESS IMPACT OF APPLICATION DELIVERY
* PUPPET
- Test harness, build automation
Comparing errors in QA vs PROD
Pro-actively identify business issues
Visualize the source of the issue
Collect & Analyze diagnostics data automatically
Take pro-active actions to mitigate the problem
Engage the right people immediately
Proactively Identify:
Stuck deals are identified before the call is made to support
Visualize: Business Activity Monitoring tracks deals; Yellow indicates where the deal is stuck. Red would indicate a catastrophic system failure.
Splunk Enterprise is fully featured, platform for collecting, searching, monitoring and analyzing machine data and getting operational intelligence. You can monitor both real-time (as the data is streaming) and historical data. Splunk collects machine data securely and reliably from wherever it’s generated in any formant. It stores and indexes the data in real time in a centralized location and protects it with role-based access controls. You can troubleshoot your network problems and investigate security incidents in minutes (not hours or days). Monitor your end-to-end infrastructure to avoid service degradation or outages. Gain real-time visibility and critical insights into customer experience, transactions and behavior.
The new app collects and analyzes performance data from Puppet Enterprise. Customers get visibility into critical services, such as PuppetDB, the Puppet Serve, and console services. The app also helps to reduce troubleshooting times and proactively fix health issues in the Puppet environment, and includes the following insights:
Console services response times to benchmark and actively plan console resources
The number of request errors by Puppet clients to help recognize potential code or infrastructure issues
Role-based access control dashboards to monitor user activity, including authentication errors to help with potential security issues
Requests from PuppetDB to identify commonly executed or failed queries—isolating potential infrastructure bottlenecks
PuppetDB node deactivation activity for isolation of security or automation issues
Commonly submitted PuppetDB commands from client IPs to assist in pinpointing potential security issues
Puppet Server compilation metrics that help teams evaluate the health of their automation environment and appropriately assign resource
The Chef Analytics App for Splunk is available for free on Splunkbase Splunk app marketplace and provides Chef users with visibility into metrics such as success / failure rates, most active users and most active organizations. The Chef Analytics App for Splunk also helps you understand the frequency of the details of errors across infrastructure so that you can catch and troubleshoot high impact issues, like a major bug in a cookbook or an infrastructure issue like network connectivity, in real time
More details: https://www.chef.io/blog/2015/04/17/integrating-chef-analytics-with-splunk/
Why Splunk for AWS?
Security Intelligence (Cloudtrail, Config Cloudwatch, VPC)
Operational Intelligence (Cloudwatch, Config, ELB, Cloudfront)
DevOps Intelligence (Cloudwatch, Lambda)
Big Data Insights (Kinesis, EMR, IoT, S3)
Data sources in Splunk App for AWS
AWS Cloudtrail
Service that delivers logs of admin activity on AWS infrastructure
Examples:
Start/Stop/Create instance
Change of User roles/rights
Modification of Network Configuration
Delivers log files to customers; no UI, display, analysis, search
AWS Config
Provides resource inventory
Provides configuration history & change information
Enables security & governance
Amazon Cloudwatch Metrics
IP traffic information to/from VPC network interfaces
Data stored and accessible from AWS Cloudwatch Logs
Amazon Cloudwatch VPC Flow Logs
IP traffic information to/from VPC network interfaces
Data stored and accessible from AWS Cloudwatch Logs
AWS Access Logs
Elastic Load Balancing (ELB)
Cloudfront CDN
S3
AWS Billing
Current Month via Cloudwatch metrics
Monthly Detailed Billing
Secure - Supports TLS / SSL
Support for configurable data collection to simplify data classification and access control
index
sourcetype
source
Support for collection of container labels and env keys which can further help with data classification
Simple
Easy to setup e.g., no need to deploy Splunk Universal Forwarder (UF) and scale it
Much easier to collect data in Splunk Cloud deployments
Scalable built on top of HTTP Event Collector (HEC)
Support encryption via SSL as long as Splunk has a TCP SSL endpoint opened. The difference I would say is that with syslog over SSL there is no auth model other than the cert itself and you can only have one SSL cert for all of Splunk. With HEC you have fine grained control of which servers can send data and which indexes they can access as that can be configured per token.
Simplified classification by source and labels, you can do that in syslog driver as well. See labels and env in https://docs.docker.com/engine/admin/logging/overview/
Additional configurations on Splunk logging driver to see “process” field, https://docs.docker.com/engine/admin/logging/log_tags/. Available by default in Syslog.
Splunk Cloud: HEC is fully supported in Splunk Cloud. You cannot however arbitrarily open a TCP/UDP port in Splunk Cloud which would be required if you needed to forward Syslog data to a UF running in Splunk Cloud. Need to confirm how to scale HEC in Splunk Cloud.
https://docs.docker.com/engine/admin/logging/splunk/
HTTP Event Collector is easy way to send data to Splunk Enterprise. Notably, the EC enables you to send data over HTTP/ HTTPS directly to Splunk Enterprise from your application. The EC was developed with application developers in mind, so that all it takes is a few lines of code added to an app for the app to send data. Also, the EC is token-based, so you never need to hard-code your Splunk Enterprise credentials in your app or supporting files. HTTP Event Collector provides a new way for developers to send application logging and metrics directly to Splunk Enterprise via HTTP in a highly efficient, scalable and secure manner
AWS Lambda is an Amazon Web Services compute service that runs your back-end code in response to events, and manages compute resources for you. In cooperation with Amazon, Splunk is pleased to provide a built-in AWS Lambda Node.js blueprint for HTTP Event Collector. The blueprint makes it easy to get started quickly, sending events from AWS Lambda to HTTP Event Collector running on Splunk Enterprise or Splunk Cloud. You can also write a Lambda function from scratch, either in JavaScript using Node.js or in Java. AWS Lambda can receive event data from Amazon Kinesis, Amazon DynamoDB, Amazon S3, and other Amazon services, and then send it on to HTTP Event Collector. You can collect the data using HTTP Event Collector in Splunk Cloud, which also runs on AWS, or in Splunk Enterprise on-premises.
Splunk App for Stream is a free App that enables you to capture, visualize and analyze data in much more granular way then ever before. You can see everything – ALL user and applications behavior ],response times from every layer, DNS information, storage traffic, network traffic, your websites content, connections. Once this data is in Splunk you can correlate it with other data for much more comprehensive visibility. First Splunk App for Stream is a way of get wire data into Splunk Enterprise. By adding this comprehensive source of machine data, it enables you to extend Operational Intelligence use cases across IT security and the business. It is a software only solution with the ability that can be installed on VM on any host, it enables real-time insights into multi-cloud environments. And as such, it is easy to install anywhere on most of standard machines, it is a passive very efficient way to capture data.
To address the needs of developers, operations and product management, you need Operational Intelligence for your mobile apps. This is what we call mobile intelligence. Mobile intelligence provides real-time insight on how your mobile apps are performing, and can correlate with and enhance Operational Intelligence.
Splunk software enables organizations to search, monitor, analyze and visualize machine-generated data from websites, applications, servers, networks, sensors and mobile devices. Splunk MINT helps organizations monitor mobile app usage and performance, gain deep visibility into mobile app transactions and accelerate development
Deliver better performing, more reliable apps
When a user has a problem with a mobile app, the issue could be isolated or spread across all app versions, handsets and OS types. With Splunk MINT, you can see issues with app performance or availability in real time. Bugs can be addressed quickly, and app developers can gain a head start in creating and delivering valuable app updates.
Achieve End-to-End visibility
When mobile apps fail, there are many potential sources of failure. With Splunk MINT, you can analyze overall transaction performance. And using Splunk MINT, you can correlate this data with information from back-end apps to gain detailed insight on transaction problems. As a result, operations can reduce MTTR and better anticipate future mobile app back-end requirements.
Deliver real-time analytics
Mobile apps give enterprises new ways of conducting digital business. With mobile app information in Splunk Enterprise, you can correlate usage and performance information— some call this omni-channel analytics—to better understand how users are engaging all aspects of your organization.
Fast feedback obtained with analytics improves app delivery velocity. From code definition to production, having insight for all the teams leads to less bugs, faster testing, faster releases, less production issues and accelerated innovation.
Deliver end-to-end visibility across every DevOps toolchain component
Iterate faster with correlated insight across the application delivery lifecycle
Improve DevOps team efficiency by measuring and benchmarking release contributions
Pinpoint and resolve code issues before they impact customers .Find and fix production issues faster Use objective metrics to ensure code is operational and meets quality SLAs
When using Splunk to mine machine data our customers and prospects can
1) INCREASE APP DELIVERY VELOCITY
2) IMPROVE CODE QUALITY
3) INCREASE BUSINESS IMPACT OF APPLICATION DELIVERY
Order Flow, message queues, Garbage Collection, Java Heap
identify errors by java class, thread
alert actions - jira ticket, service now ticket, webhook
PM’s love to look at feature usage; are new features being used?
How do we allocate developer time to create/enhance features
Need to check all of them.
The NBC Universal’s Web Operations team is using Splunk platform to track performance of their releases from pre-production, QA and in production. Splunk software frees up their DevOps teams and enables them to focus on innovation while pushing code to production daily.
The way they test these deployments is to release to half of our servers first while they are out of production rotation but still accessible through other non-public DNS paths for testing. Their “Gamma” environment is a subset of production servers that have been released to for testing, but aren’t taking public traffic. Theyuse Splunk to monitor new errors on the servers after releasing changes to them, which is easy to do since just before the servers were released to they already had an established error volume baseline from being in production. If any new errors appear or the volume of traffic for 400/500 errors suddenly increases after the release, They immediately see the spike in our monitoring. Alerting on thresholds for event log errors - roll-back problematic deployments or diagnose a build in a subset of the production environment
Splunk is Used Enterprise-wide at Apollo Group
Provide full visibility into sanity and Load testing in QA environments before deploying to production
Using the Splunk SDK for Java to gather key machine metrics (CPU, memory, disk utilization) and log file errors metrics are compared to benchmarks and SLA thresholds
Helps troubleshooting if tests do not contain the expected results
Product Lifecycle Monitoring
Custom Application Monitoring
Mobile App Monitoring/Analytics
Customer Analytics
Security and Forensics/Analytics
Network Monitoring/Analytics
AWS Billing Monitoring/Analytics
Cloud and Physical Server Monitoring/Analytics
Issue resolution from days to minutes in both QA/staging and production environments – significant productivity/quality impact
ROI in the millions - Engineering/IT teams are significantly more productive & Fewer outages
Challenges:
No single place to access and visualize machine data
Manual diagnosing and searching through data generated by servers and applications
To retrieve information, sysadmins have to ssh into production machines before sending off to developers to grep through the logs
With Splunk:
Quickly validate and troubleshoot code pushes to production
Ensure that new code does not negatively impact performance or user experience
Reduced one application’s error rate by 2 orders of magnitude in a matter of weeks