Dev ops

Jul 12, 2016Download as PPTX, PDF1 like416 views

The document discusses DevOps, which aims to improve collaboration between development and operations teams. It notes past failed attempts to implement systems where operations took 9 months to set up virtual machines but they were not ready for development teams. Similarly, development once spent 2 months on automated deployments but operations still wanted a user interface. The document advocates adopting a DevOps culture and mindset to continuously deliver value to customers by reducing time to market through collaboration between teams and automation. DevOps integrates development and operations to improve productivity and measure application performance.

development operations
We know what Dev
Ops is?
A unified system to
replace so many
systems we have…
Push button
environments

operations
9 Months+
6 team members
Virtual Machines on
demand
But not in a state to be used
by Development teams..

operations
9 Months+
6 team members
Virtual Machines on
demand
But not in a state to be used
by Development teams..
FAIL

development operations
We know what Dev
Ops is?
We’ll use puppet?
Deployment scripts in
Ruby…
We know what Ops
want …

development
2 Months+
Automated deploys into
test
Production on windows
Operations want a UI

development
2 Months+
Automated deploys into
test
Production on windows
Operations want a UI
FAIL

dev-ops
Job Description
Tools
Access Rights
Product
Methodology

Before you begin the journey!
Why How What
One’s destination is never a place –
but a new way of seeing things.
…. Henry Miller

Why? ResponsivenessFrequent releases
Innovation
Customer Delight Quality
Time to Market

Project Outcomes (Marginal and Failed)
Standish Group Chaos Report 2015

Success Factors: Project Success
• Research at The Standish Group also indicates that smaller time frames,
with delivery of software components early and often, will increase the
success rate.
• Shorter time frames result in an iterative process of design, prototype,
develop, test, and deploy small elements. This process is known as
"growing" software, as opposed to the old concept of "developing"
software.
• Growing software engages the user earlier, each component has an owner
or a small set of owners, and expectations are realistically set. In addition,
each software component has a clear and precise statement and set of
objectives.
• Software components and small projects tend to be less complex.
• Making the projects simpler is a worthwhile endeavor because complexity
causes only confusion and increased cost.

Organisation (Inside-Out)
• Start at the top.
• Appoint Specialist Managers.
• Allocate people to divisions/teams.
• Communicate a strategy.
• Determine performance targets.
• Define the delivery process.
• Engage the customer.

Organisation (Outside-In)
• Start with the customer.
• Develop a strategy.
• Design initial process.
• Define process metrics.
• Structure to support processes.
• Appoint process managers.
• End at the top.
• Adapt & Improve.

Dev + Ops + QA + Business
Biz Dev Ops
Agile Development DevOps
Customer Value Deliver
A culture and mindset to collaborate between Development
teams and Operation teams with a clear goal to achieve
business outcomes.

code
Rackspace
New Relic
Splunk
Tooling …

Dev-Ops
A culture and mindset to collaborate between Development
teams and Operation teams in order to delight customer by
reducing time to market and continuously innovate.
DevOps integrates delivery and operations teams in order to
improve collaboration and productivity by automating
infrastructure, automating development workflows and
continuously measuring application performance.

Recap…
• DevOps is not a job title, method, product, tool etc.
• You do DevOps for the same reason that will force
you to do Agile.
• DevOps is the extension of Agile + Lean thinking
into Operations.
• DevOps is about extending the Agile culture and
collaboration to Operations.

This document discusses common misconceptions in product development and proposes lean thinking alternatives. It addresses six prevailing practices: 1) high resource utilization improves performance, 2) large batches improve economics, 3) sticking to plans is best, 4) starting sooner finishes sooner, 5) more features increase customer liking, and 6) getting it right the first time is most successful. For each, it advocates limiting work in progress, incorporating customer feedback early and often through minimal viable products and experimentation, and accepting that plans will change and failure is part of the learning process. The key takeaway is to make information visible, quantify delays, introduce slack, focus on response over efficiency, use small batches with fast feedback, and treat plans and features

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More and more teams are turning to DevOps as a way of working together to improve the efficiency and quality of software delivery and start adding more value to the business. But without having someone on the team with experience of putting it into practice, it's sometimes difficult to know how to get started. Redgate Software invited Steve Thair, CTO at the DevOpsGuys, to deliver a one-hour training session on 'How to get started with DevOps'. Steve gave practical tips on how you can start implementing DevOps in your own organization. The recording can be found here - https://youtu.be/ZioF58drwcA For more information about services from the DevOpsGuys visit www.devopsguys.com To find out about extending DevOps practices to the database visit www.red-gate.com/solutions

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This document provides an overview of DevOps including: - An abstract defining DevOps as a combination of development and operations to promote collaboration between teams. - An introduction stating that DevOps enables organizations to better serve customers through improved communication between development and operations teams. - Sections covering the history, definition, need for DevOps, life cycle, architecture, practices, principles, tools, and benefits of adopting a DevOps approach.

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Slides presented at Agile Cambridge 2014 http://agilecambridge.net/ac2014/sessions/index.php?session=57 Session Description: The emerging practice of DevOps is a natural extension to established Agile methods. The choice of tooling to support the practices is important and will influence heavily how rapid, repeatable and reliable live deployments might be. Three of the four pillars are concerned with automation through tooling but, arguably, the fourth pillar is more important than the other three together. The fourth pillar is at the heart of the Agile Manifesto: people. The "Gold Rush" for DevOps is dominated by vendors and the push to sell their wares. But it is people who use the tools, people who define, develop and assure the software, and people who manage the services after they have gone live. One of the cornerstones of DevOps is breaking down the walls between development teams and operations; too much tool specialisation will lead to further separation and even the introduction of yet another silo. This talk will cover four pillars to DevOps: Environments, Deployment, Testing and People. The insights brought together in this talk were gained under commercial engagements with government clients, on development of financial systems responsible for management of funding in the adult education sector.

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Before DevOps, development and operations teams worked separately, with testing and deployment occurring after development was completed. This led to inefficient processes where more time was spent on testing, deployment, and design rather than building the actual product. DevOps aims to integrate development and operations teams so they can work more collaboratively through practices like automation, continuous integration and monitoring.

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As software complexity grows, traditional static analysis tools struggle to detect vulnerabilities with both precision and context—often triggering high false positive rates and developer fatigue. This article explores how Graph Neural Networks (GNNs), when applied to source code representations like Abstract Syntax Trees (ASTs), Control Flow Graphs (CFGs), and Data Flow Graphs (DFGs), can revolutionize vulnerability detection. We break down how GNNs model code semantics more effectively than flat token sequences, and how techniques like attention mechanisms, hybrid graph construction, and feedback loops significantly reduce false positives. With insights from real-world datasets and recent research, this guide shows how to build more reliable, proactive, and interpretable vulnerability detection systems using GNNs.

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If we were building a GenAI stack today, we'd start with one question: Can your retrieval system handle multi-hop logic? Trick question, b/c most can’t. They treat retrieval as nearest-neighbor search. Today, we discussed scaling #GraphRAG at AWS DevOps Day, and the takeaway is clear: VectorRAG is naive, lacks domain awareness, and can’t handle full dataset retrieval. GraphRAG builds a knowledge graph from source documents, allowing for a deeper understanding of the data + higher accuracy.

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It's time you stopped letting your telemetry data pressure your budgets and get in the way of solving issues with agility! No more I say! Take back control of your telemetry data as we guide you through the open source project Fluent Bit. Learn how to manage your telemetry data from source to destination using the pipeline phases covering collection, parsing, aggregation, transformation, and forwarding from any source to any destination. Buckle up for a fun ride as you learn by exploring how telemetry pipelines work, how to set up your first pipeline, and exploring several common use cases that Fluent Bit helps solve. All this backed by a self-paced, hands-on workshop that attendees can pursue at home after this session (https://o11y-workshops.gitlab.io/workshop-fluentbit).

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This SlideShare presentation is from our May webinar, “Not So Common Memory Leaks & How to Fix Them?”, where we explored lesser-known memory leak patterns in Java applications. Unlike typical leaks, subtle issues such as thread local misuse, inner class references, uncached collections, and misbehaving frameworks often go undetected and gradually degrade performance. This deck provides in-depth insights into identifying these hidden leaks using advanced heap analysis and profiling techniques, along with real-world case studies and practical solutions. Ideal for developers and performance engineers aiming to deepen their understanding of Java memory management and improve application stability.

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