Forget the gap between Dev and Ops - the gap between Devs and DBAs is a chasm. Here are some observations from the field about the causes of the rift and some ideas about how to close the gap (and even whether the gap is worth closing). Oh, and I'm writing a book about it.
View the Big Data Technology Stack in a nutshell. This Big Data Technology Stack deck covers the different layers of the Big Data world and summarizes the major technologies in vogue today.
Perchè un programmatore ama anche i database NoSQLMarco Parenzan
Per quale motivo i programmatori parlano tanto di NoSql? Non amano più Sql Server e il linguaggio Sql in generale? No. La complessità delle applicazioni Web e Cloud necessitano di soluzioni complesse, che soddisfano potenzialità e vincoli imposti dal mondo web. Oggi infatti si parla di Polyglot Persistence, di CQRS e altro. Obiettivo di questa sessione è far comprendere i nuovi principi cui aderiscono i web developers e abbassare l' "impedance mismatch" che sembra essersi creato con i dba e e db devs.
How should an organisation with an incumbent Enterprise Data Warehouse harness the power of Big Data?
Using Sky as an example, this presentation outlays a schematic plan to achieve this synergy with minimal disruption.
View the Big Data Technology Stack in a nutshell. This Big Data Technology Stack deck covers the different layers of the Big Data world and summarizes the major technologies in vogue today.
Perchè un programmatore ama anche i database NoSQLMarco Parenzan
Per quale motivo i programmatori parlano tanto di NoSql? Non amano più Sql Server e il linguaggio Sql in generale? No. La complessità delle applicazioni Web e Cloud necessitano di soluzioni complesse, che soddisfano potenzialità e vincoli imposti dal mondo web. Oggi infatti si parla di Polyglot Persistence, di CQRS e altro. Obiettivo di questa sessione è far comprendere i nuovi principi cui aderiscono i web developers e abbassare l' "impedance mismatch" che sembra essersi creato con i dba e e db devs.
How should an organisation with an incumbent Enterprise Data Warehouse harness the power of Big Data?
Using Sky as an example, this presentation outlays a schematic plan to achieve this synergy with minimal disruption.
Modern management of data pipelines made easierCloverDX
From data discovery, classification and cataloging to governance, anonymization and better management of data over its lifetime.
- How to make data discovery and classification easier and faster at scale with smart algorithms
- Best practices for standardization of data structures and semantics across organizations
- What’s driving the paradigm shift from development to declaration of data pipelines
- How to meet regulatory and audit requirements more easily with better transparency of data processes
You might think you know what’s in your data, but at enterprise scale, it’s almost impossible. Just because you have a column called ‘last name’, that’s not necessarily what it contains.
Automating data discovery by using data matching algorithms to identify and classify all your data – wherever it sits – can make the process vastly more efficient, as well as helping identify all the PII (Personally Identifiable Information) across your organization.
These slides originally accompanied a webinar that described some ways in which you can better manage modern data pipelines. You can watch the full video here: https://www.cloverdx.com/webinars/modern-management-of-data-pipelines-made-easier
Data Visibility and Protection at the Scale of Life SciencesAdam Marko
Data generation in the life sciences continues at a rapid pace. There are always risks of data loss, including hardware failures, inability of staff to access data centers, and user error. During challenging times like these, understanding and protecting your data can save lives. Join us to see how you can protect and visualize your files at the scale of Life Sciences, with integrated search, restore, and visibility.
Data Bases - Introduction to data scienceFrank Kienle
Lecture: Introduction to Data Science
given 2017 at Technical University of Kaiserslautern, Germany
Lecturer: Frank Kienle, Head of AI and Data Science, Camelot ITLab
Topic: introduction to data bases
How to Effectively Migrate Data From Legacy AppsCloverDX
** Watch the webinar to accompany these slides: https://www.cloverdx.com/webinars/how-to-effectively-migrate-data-from-legacy-system **
TIPS FOR PLANNING A DATA MIGRATION
Old HCM, ERP or CRM systems are often business critical since they are ingrained into many processes within a company. But their age often means that the knowledge about how they work is mostly lost and it can be daunting to replace them with something newer and more streamlined.
We'll show you some tips and best practices to help you migrate from a legacy system in a stress-free way.
More CloverDX webinars: https://www.cloverdx.com/webinars
Twitter: https://twitter.com/cloverdx
LinkedIn: https://www.linkedin.com/company/cloverdx/
Get a free 45 day trial of the CloverDX Data Management Platform: https://www.cloverdx.com/trial-platform
9 facts about statice's data anonymization solutionStatice
Are you wondering if Statice has the right synthetic data solution for your needs? In this post, we discuss some of the advantages of working with our software. From integration to evaluation, our data anonymization solution has everything to fit your team’s requirements.
Sensordaten analysieren mit Docker, CrateDB und GrafanaClaus Matzinger
Predictive analytics, Internet of Things, Industrie 4.0: Begriffe, die in aller Munde sind. Wie aber sehen echte Installationen aus? Wie können containerbasierte Microservices den Deploymentprozess vereinfachen und gleichzeitig die Produktivität erhöhen? Claus Matzinger von Crate.io wird in diesem Vortrag all diese Fragen beantworten und mittels Raspberry Pis, Grafana und Rust einige Best Practices aus der "echten Welt" vorstellen.
1croreprojects is the best hybrid cloud system for all area and also developing realtime projects, phd projects are fully developed in our institute. We have been effectively in providing solutions for different challenges across a wide range of market and customers propagate across the globe.
Introducing Big Data concepts & Hadoop to those who wish to begin their journey in the future of Information Technology. It is certain that data is going to play a major role in days to come, from our daily lives to the biggest of the venture we might undertake.And hence, knowing about Big data and technologies to work with the same is going to be essential for IT professionals.
We will start with some simple presentations and then will go on building upon it. For more intense, focused introduction & training on Big Data and related technologies, visit our website or write to us.
How do team topologies influence a DevOps culture? In this talk, we explore different kinds of organisational structures - some good for DevOps, some bad - and see how they affect the kind of collaboration and interaction between teams. Warning: hats are also involved.
Moving from a monolith to microservices can be daunting. How do we choose the right bounded contexts? How small should services be? Which teams should get which services? And how do we keep things from falling apart?
By starting with the needs of the team, we can infer some useful heuristics for evolving from a monolithic architecture to a set of more loosely coupled services.
Modern management of data pipelines made easierCloverDX
From data discovery, classification and cataloging to governance, anonymization and better management of data over its lifetime.
- How to make data discovery and classification easier and faster at scale with smart algorithms
- Best practices for standardization of data structures and semantics across organizations
- What’s driving the paradigm shift from development to declaration of data pipelines
- How to meet regulatory and audit requirements more easily with better transparency of data processes
You might think you know what’s in your data, but at enterprise scale, it’s almost impossible. Just because you have a column called ‘last name’, that’s not necessarily what it contains.
Automating data discovery by using data matching algorithms to identify and classify all your data – wherever it sits – can make the process vastly more efficient, as well as helping identify all the PII (Personally Identifiable Information) across your organization.
These slides originally accompanied a webinar that described some ways in which you can better manage modern data pipelines. You can watch the full video here: https://www.cloverdx.com/webinars/modern-management-of-data-pipelines-made-easier
Data Visibility and Protection at the Scale of Life SciencesAdam Marko
Data generation in the life sciences continues at a rapid pace. There are always risks of data loss, including hardware failures, inability of staff to access data centers, and user error. During challenging times like these, understanding and protecting your data can save lives. Join us to see how you can protect and visualize your files at the scale of Life Sciences, with integrated search, restore, and visibility.
Data Bases - Introduction to data scienceFrank Kienle
Lecture: Introduction to Data Science
given 2017 at Technical University of Kaiserslautern, Germany
Lecturer: Frank Kienle, Head of AI and Data Science, Camelot ITLab
Topic: introduction to data bases
How to Effectively Migrate Data From Legacy AppsCloverDX
** Watch the webinar to accompany these slides: https://www.cloverdx.com/webinars/how-to-effectively-migrate-data-from-legacy-system **
TIPS FOR PLANNING A DATA MIGRATION
Old HCM, ERP or CRM systems are often business critical since they are ingrained into many processes within a company. But their age often means that the knowledge about how they work is mostly lost and it can be daunting to replace them with something newer and more streamlined.
We'll show you some tips and best practices to help you migrate from a legacy system in a stress-free way.
More CloverDX webinars: https://www.cloverdx.com/webinars
Twitter: https://twitter.com/cloverdx
LinkedIn: https://www.linkedin.com/company/cloverdx/
Get a free 45 day trial of the CloverDX Data Management Platform: https://www.cloverdx.com/trial-platform
9 facts about statice's data anonymization solutionStatice
Are you wondering if Statice has the right synthetic data solution for your needs? In this post, we discuss some of the advantages of working with our software. From integration to evaluation, our data anonymization solution has everything to fit your team’s requirements.
Sensordaten analysieren mit Docker, CrateDB und GrafanaClaus Matzinger
Predictive analytics, Internet of Things, Industrie 4.0: Begriffe, die in aller Munde sind. Wie aber sehen echte Installationen aus? Wie können containerbasierte Microservices den Deploymentprozess vereinfachen und gleichzeitig die Produktivität erhöhen? Claus Matzinger von Crate.io wird in diesem Vortrag all diese Fragen beantworten und mittels Raspberry Pis, Grafana und Rust einige Best Practices aus der "echten Welt" vorstellen.
1croreprojects is the best hybrid cloud system for all area and also developing realtime projects, phd projects are fully developed in our institute. We have been effectively in providing solutions for different challenges across a wide range of market and customers propagate across the globe.
Introducing Big Data concepts & Hadoop to those who wish to begin their journey in the future of Information Technology. It is certain that data is going to play a major role in days to come, from our daily lives to the biggest of the venture we might undertake.And hence, knowing about Big data and technologies to work with the same is going to be essential for IT professionals.
We will start with some simple presentations and then will go on building upon it. For more intense, focused introduction & training on Big Data and related technologies, visit our website or write to us.
How do team topologies influence a DevOps culture? In this talk, we explore different kinds of organisational structures - some good for DevOps, some bad - and see how they affect the kind of collaboration and interaction between teams. Warning: hats are also involved.
Moving from a monolith to microservices can be daunting. How do we choose the right bounded contexts? How small should services be? Which teams should get which services? And how do we keep things from falling apart?
By starting with the needs of the team, we can infer some useful heuristics for evolving from a monolithic architecture to a set of more loosely coupled services.
Continuous Delivery techniques and practices are often misunderstood. This session will explore some Continuous Delivery anti-patterns based on work 'in the wild' with a wide range of organisations across different industry sectors:
- Believing that "Continuous Delivery is not for us"
- Ignoring the database
- Thinking that a deployment pipeline is just a series of chained jobs in Jenkins
- Not measuring delays between value-add activities
- Ignoring Cost-of-Delay and job size
- Not funding the build/test/deployment capability properly
By avoiding these pitfalls, we can increase the effectiveness of our software delivery efforts.
Attendees will learn:
1. Why Continuous Delivery (CD) is useful for almost all modern software
2. How to approach CD for databases
3. How to make CD really 'fly' within the organisation
4. How to 'sell' CD to business stakeholders
Treating operational aspects of software as 'non-functional requirements' and 'an Ops problem' rather than a core part of the software product leads to poor live service and unexplained errors in Production.
Deployability, recoverability, diagnosability, monitorability, and high quality logging are simply features of a software system, along with user-visible features surfaced via the UI, or a capability of an API endpoint.
However, many Product Managers understandably feel uneasy about taking on the (necessary) responsibility for prioritising operational features alongside user-visible and API features.
This session aims to bring Scrum Masters and Product Owners up to speed on operational features, empowering them to make effective prioritisation choices about all kinds of product features, whether user-visible or operational.
Talk at TechUG day in Leeds on 22nd October 2015
The way in which many (most?) software teams use logging needs a re-think as we move into a world of microservices and remote sensors. Instead of using logging merely to dump out stack traces, our logs become a continuous trace of application state, with unique-enough identifiers for every interesting point of execution. We also use transaction identifiers to trace calls across components, services, and queues, so that we can reconstruct distributed calls after the fact. Logging becomes a rich source of insight for developers and operations people alike, as we 'listen to the logs' and tighten feedback cycles to improve our software systems.
Continuous Delivery techniques and practices are often misunderstood. This session will explore some Continuous Delivery anti-patterns based on work 'in the wild' with a wide range of organisations across different industry sectors:
- Believing that "Continuous Delivery is not for us"
- Ignoring the database
- Thinking that a deployment pipeline is just a series of chained jobs in Jenkins
- Not measuring delays between value-add activities
- Ignoring Cost-of-Delay and job size
- Not funding the build/test/deployment capability properly
By avoiding these pitfalls, we can increase the effectiveness of our software delivery efforts.
How to break apart a monolithic system safely without destroying your team
Moving from a monolith to microservices can be daunting. How do we choose the right bounded contexts? How small should services be? Which teams should get which services? And how do we keep things from falling apart?
By starting with the needs of the team, we can infer some useful heuristics for evolving from a monolithic architecture to a set of more loosely coupled services.
Matthew Skelton is co-founder of Skelton Thatcher Consulting / @matthewpskelton
Treating operational aspects of software as 'non-functional requirements' and 'an Ops problem' rather than a core part of the software product leads to poor live service and unexplained errors in Production.
Traceability, deployability, recoverability, diagnosability, monitorability, and high quality logging are key features of a software system, along with user-visible features surfaced via the UI, or a capability of an API endpoint.
However, many Product Owners understandably feel uneasy about taking on the (necessary) responsibility for prioritising operational features alongside user-visible and API features.
This session brings Scrum Masters and Product Owners up to speed on operational features and covers proven practices for improving operability in an Agile context, empowering Product Owners to make effective prioritisation choices about all kinds of product features, whether user-visible or operational.
(Talk given at Continuous Lifecycle London 2016)
Continuous Delivery techniques and practices are often misunderstood. This session will explore some Continuous Delivery anti-patterns based on work 'in the wild' with a wide range of organisations across different industry sectors:
- Believing that "Continuous Delivery is not for us"
- Ignoring the database
- Thinking that a deployment pipeline is just a series of chained jobs in Jenkins
- Not funding the build/test/deployment capability properly
- No effective logging or application metrics
By avoiding these pitfalls, we can increase the effectiveness of our software delivery efforts.
The way in which many (most?) software teams use logging needs a re-think as we move into a world of microservices and remote sensors. Instead of using logging merely to dump out stack traces, our logs become a continuous trace of application state, with unique-enough identifiers for every interesting point of execution. We also use transaction identifiers to trace calls across components, services, and queues, so that we can reconstruct distributed calls after the fact. Logging becomes a rich source of insight for developers and operations people alike, as we 'listen to the logs' and tighten feedback cycles to improve our software systems.
Tools like GoCD and TeamCity are excellent components of advanced Continuous Delivery deployment systems. They help us focus on deployment pipelines and the flow of changes, rather than "builds" or "environments". We can further enhance these tools by using frameworks like Rancher to manage GoCD and TeamCity as highly available, always-on deployment services. In this talk, we'll see how to use Rancher to run deployment pipeline tooling like GoCD and TeamCity, and how this lets us focus on the important parts of Continuous Delivery: getting changes to Production safely and rapidly.
How to break apart a monolithic system safely without destroying your team - talk at Velocity Eu Amsterdam on 7 Nov 2016
You'll learn some team-first heuristics to use when decomposing large or monolithic software into smaller pieces.
http://conferences.oreilly.com/velocity/devops-web-performance-eu/public/schedule/detail/52879
Modern log aggregation & search tools provide significant new capabilities for teams building, testing, and running software systems. By treating logging as a core system component, and using techniques such as unique event IDs, transaction tracing, and structured log output, we gain rich insights into application behaviour and health. This talk explains why it is valuable to test aspects of logging and how to do this with modern log aggregation tooling.
For effective, modern, Cloud-connected software systems we need to organize our teams in certain ways. Taking account of Conway’s Law, we look to match the team structures to the required software architecture, enabling or restricting communication and collaboration for the best outcomes. This talk will cover the basics of organization design, exploring a selection of key team topologies and how and when to use them in order to make the development and operation of your software systems as effective as possible. The talk is based on experience helping companies around the world with the design of their teams.
Talk given at DevOpsCon Munich 2016 - https://devopsconference.de/session/how-and-why-to-design-your-teams-for-modern-software-systems/
Important Terminology for the Users of Web-based ServicesHTS Hosting
The rapid growth of the World Wide Web and the increased use of web-based services make it essential for the users of such services to be aware of the most important and frequently used terms with regard to web-based services.
While many enterprises consider cloud computing the savior of their data strategy, there is a process they should be following when looking to leveraging database-as-a-service. This includes understanding their own data requirements, selecting the right cloud computing candidate, and then planning for the migration and operations. A huge number of issues and obstacles will inevitably arise, but fortunately best practices are emerging. This presentation will take you through the process of moving data to cloud computing providers.
Today, it is critical that IT teams are able to easily, consistently deploy to production. Running Docker containers on Amazon Web Services makes it possible to engineer a compliant and DevOps-friendly environment from the ground up. Spring Venture Group successfully migrated to AWS with Docker containers and leveraged Logicworks to migrate to AWS and automate infrastructure build-out and deployment. Join our webinar to learn how Spring Venture Group, an innovative insurance brokerage, reduced risk and improved deployment velocity with Logicworks, AWS, and Docker.
Part 2 of a 2 part presentation that I did in 2009, this presentation covers more about unstructured data, and operational data vault components. YES, even then I was commenting on how this market will evolve. IF you want to use these slides, please let me know, and add: "(C) Dan Linstedt, all rights reserved, http://LearnDataVault.com" in a VISIBLE fashion on your slides.
Exploiting Serverless - DevOps Conference Sydney 2018Nigel Fernandes
As an enterprise the thing you should care about is not the hype about serverless, it is the billing model shift it brings.
If you are starting out on your DevOps journey in the enterprise, look to skip the complexity and costs of Containerisation and go straight to Serverless.
This is a talk I presented at the DevOps sydney conference in 2018. It focuses on the cost benefits of serverless and why your organisation should care.
Proofpoint: Fraud Detection and Security on Social MediaDataStax Academy
Social media has become the new frontier for cyber-attackers. The explosive growth of this new communications platform, combined with the potential to reach millions of people through a single post, has provided a low barrier for exploitation. In this talk, we will focus on how Cassandra is used to enable our fight against bad actors on social media. In particular, we will discuss how we use Cassandra for anomaly detection, social mob alerting, trending topics, and fraudulent classification. We will also speak about our Cassandra data models, integration with Spark Streaming, and how we use KairosDB for our time series data. Watch us don our superhero-Cassandra capes as we fight against the bad guys!
It’s impossible to overlook system design when it comes to tech interviews. In this article, we've covered the most frequently asked System Design interview questions in almost every IT giant.
Conquering Disaster Recovery Challenges and Out-of-Control Data with the Hybr...actualtechmedia
More and more companies are leveraging the cloud for disaster recovery. After all, the limitless compute resources of the cloud are perfectly suited for disaster recovery. Learn how to easily leverage the cloud for DR.
How Consistent Data Services Deliver Simplicity, Compatibility, And Lower CostDana Gardner
A transcript of a discussion on the latest technologies and products delivering common data services across today’s hybrid cloud, distributed data centers, and burgeoning edge landscapes.
Data and Application Modernization in the Age of the Cloudredmondpulver
Data modernization is key to unlocking the full potential of your IT investments, both on premises and in the cloud. Enterprises and organizations of all sizes rely on their data to power advanced analytics, machine learning, and artificial intelligence.
Yet the path to modernizing legacy data systems for the cloud is full of pitfalls that cost time, money, and resources. These issues include high hardware and staffing costs, difficulty moving data and analytical processes to cloud environments, and inadequate support for real-time use cases. These issues delay delivery timelines and increase costs, impacting the return on investment for new, cutting-edge applications.
Watch this webinar in which James Kobielus, TDWI senior research director for data management, explores how enterprises are modernizing their mainframe data and application infrastructures in the cloud to sustain innovation and drive efficiencies. Kobielus will engage John de Saint Phalle, senior product manager at Precisely, in a discussion that addresses the following key questions:
When should enterprises consider migrating and replicating all their data assets to modern public clouds vs. retaining some on-premises in hybrid deployments?How should enterprises modernize their legacy data and application infrastructures to unlock innovation and value in the age of cloud computing?What are the key investments that enterprises should make to modernize their data pipelines to deliver better AI/ML applications in the cloud?What is the optimal data engineering workflow for building, testing, and operationalizing high-quality modern AI/ML applications in the cloud?What value does real-time replication play in migrating data and applications to modern cloud data architectures?What challenges do enterprises face in ensuring and maintaining the integrity, fitness, and quality of the data that they migrate to modern clouds?What tools and methodologies should enterprise application developers use to refactor and transform legacy data applications that have migrated to modern clouds
How is DevOps Ready for the Integration of Artificial Intelligence.pdfCatherine William
We need Artificial Intelligence to hasten the performance of DevOps. For boosting thе automation quotient in the DеvOps process, AI for DеvOps can add substantial value by plummeting the nееd for human intervention across processes. For getting more information please visit the website now. https://www.impressico.com/blog/devops-automation-with-artificial-intelligence-is-devops-is-ready-for-ai/
2016 - 10 questions you should answer before building a new microservicedevopsdaysaustin
Session Presentation by Brian Kelly
Microservices appear simple to build on the surface, but there's more to creating them than just launching some code running in a container. This talk outlines 10 important questions that should be answered about any new microservice before development begins on it - - and certainly before it gets deployed into production.
Ch-ch-ch-ch-changes....Stitch Triggers - Andrew MorganMongoDB
Intelligent apps are emerging as the next frontier in analytics and application development. Learn how to build intelligent apps on MongoDB powered by Google Cloud with TensorFlow for machine learning and DialogFlow for artificial intelligence. Get your developers and data scientists to finally work together to build applications that understand your customer, automate their tasks, and provide knowledge and decision support.
Similar to How to bridge the Dev-DBA chasm - AgileYorkshire - Matthew Skelton (20)
In this talk, Matthew Skelton (Skelton Thatcher Consulting) explores five practical, tried-and-tested, real-world techniques for improving operability with many kinds of software systems, including cloud, Serverless, on-premise, and IoT.
Logging as a live diagnostics vector with sparse event IDs
Operational checklists and 'run book dialogue sheets' as a discovery mechanism for teams
Endpoint healthchecks as a way to assess runtime dependencies and complexity
Correlation IDs beyond simple HTTP calls
Lightweight 'User Personas' as drivers for operational dashboards
These techniques work very differently with different technologies. For instance, an IoT device has limited storage, processing, and I/O, so generation and shipping of logs and metrics looks very different from the cloud or 'serverless' case. However, the principles - logging as a live diagnostics vector, event IDs for discovery, etc - work remarkably well across very different technologies.
From a talk at Agile in the City Bristol 2017 http://agileinthecity.net/2017/bristol/sessions/index.php?session=44
Modern software systems now increasingly span cloud and on-premises deployments and remote embedded devices and sensors. These distributed systems bring challenges with data, connectivity, performance, and systems management; to ensure success, you must design and build with operability as a first-class property.
Matthew Skelton shares five practical, tried-and-tested techniques for improving operability with many kinds of software systems, including the cloud, serverless, on-premises, and the IoT: logging as a live diagnostics vector with sparse event IDs; operational checklists and runbook dialog sheets as a discovery mechanism for teams; endpoint health checks as a way to assess runtime dependencies and complexity; correlation IDs beyond simple HTTP calls; and lightweight user personas as drivers for operational dashboards.
These techniques work very differently with different technologies. For instance, an IoT device has limited storage, processing, and I/O, so generating and shipping of logs and metrics looks very different from cloud or serverless cases. However, the principles—logging as a live diagnostics vector, event IDs for discovery, etc.—work remarkably well across very different technologies.
Drawing from his experience helping teams improve the operability of their software systems, Matthew explains what works (and what doesn’t) and how teams can expand their understanding and awareness of operability through these straightforward, team-friendly techniques.
From a talk given by Matthew Skelton at Velocity Conference EU 2017 - https://conferences.oreilly.com/velocity/vl-eu/public/schedule/detail/61954
Modern software systems now increasingly span cloud, on-premise, and remote embedded devices & sensors. These distributed systems bring challenges with data, connectivity, performance, and systems management, so for business success we need to design and build with operability as a first class property.
In this talk, we explore five practical, tried-and-tested, real world techniques for improving operability with many kinds of software systems, including cloud, Serverless, on-premise, and IoT:
- Logging as a live diagnostics vector with sparse Event IDs
- Operational checklists and 'Run Book dialogue sheets' as a discovery mechanism for teams
- Endpoint healthchecks as a way to assess runtime dependencies and complexity
- Correlation IDs beyond simple HTTP calls
- Lightweight 'User Personas' as drivers for operational dashboards
These techniques work very differently with different technologies. For instance, an IoT device has limited storage, processing, and I/O, so generation and shipping of logs and metrics looks very different from the cloud or Serverless case. However, the principles - logging as a live diagnostics vector, Event IDs for discovery, etc. - work remarkably well across very different technologies.
Presenters: Matthew Skelton and Rob Thatcher, Skelton Thatcher Consulting
Webinar: Operability is all about making software work well in Production. In this webinar, we explore practical, tried-and-tested, real world techniques for improving operability with many kinds of software systems, including cloud, Serverless, on-premise, and IoT: logging with Event IDs, Run Book dialogue sheets, endpoint healthchecks, correlation IDs, and lightweight User Personas.
Target audience: Software Developer, Tester, Software Architect, DevOps Engineer, Delivery Manager, Head of Delivery, Head of IT.
Benefits: Attendees will gain insights into operability and why this is important for modern software systems, along with practical experience of techniques to enhance operability in almost any software system they encounter.
Moving from a monolith to microservices can be daunting. How do we choose the right bounded contexts? How small should services be? Which teams should get which services? And how do we keep things from falling apart? By starting with the needs of the team, we can infer some useful heuristics for evolving from a monolithic architecture to a set of more loosely coupled services.
Talk given at London DevOps meetup group - June 2017 - https://www.meetup.com/London-DevOps/events/238827763/
For effective, modern, Cloud-connected software systems we need to organize our teams in certain ways. Taking account of Conway’s Law, we look to match the team structures to the required software architecture, enabling or restricting communication and collaboration for the best outcomes. This talk will cover the basics of organization design, exploring a selection of key team topologies and how and when to use them in order to make the development and operation of your software systems as effective as possible. The talk is based on experience helping companies around the world with the design of their teams.
A talk given at JAX DevOps London - April 2017
For effective, modern, cloud-connected software systems we need to organize our teams in certain ways. Taking account of Conway’s Law, we look to match the team structures to the required software architecture, enabling or restricting communication and collaboration for the best outcomes. This talk will cover the basics of organization design, exploring a selection of key team topologies and how and when to use them in order to make the development and operation of your software systems as effective as possible. The talk is based on experience helping companies around the world with the design of their teams.
In summary, this talk will cover the basics of organization design, exploring a selection of key team topologies and how and when to use them in order to make the development and operation of your software systems as effective as possible.
Takeaways:
• The implications of Conway’s Law for software teams
• Cognitive Load for teams
• Effective team topologies
• Team evolution
What team configuration is right for DevOps to work? Devs doing Ops? Ops doing Dev? Everyone doing a bit of everything, or a special new silo doing Docker and Jenkins in the corner of the room?
In this talk, Matthew Skelton and Rob Thatcher joins speculation with practical in-the-trenches experience to arrive at some working 'team topologies' for effective DevOps.
Also involves audience participation. And hats :)
Treating operational aspects of software as 'non-functional requirements' and 'an Ops problem' rather than a core part of the software product leads to poor live service and unexplained errors in Production.
However, many Product Managers understandably feel uneasy about taking on the (necessary) responsibility for prioritising operational features alongside user-visible and API features.
This session aims to bring Scrum Masters and Product Owners up to speed on operational features, empowering them to make effective prioritisation choices about all kinds of product features, whether user-visible or operational.
To many people ITIL seems like the antithesis of Agile, with process-heavy, manual checks and approval gates a blocker to rapid delivery. However, at its core ITIL recommends iterative and continual improvement of software services based on the ‘Plan, Do, Check, Act’ (PDCA) cycle of Deming, an approach also central to DevOps. In this talk we’ll explore how – if implemented appropriately – ITIL and Agile can complement each other for a DevOps approach to iterative evolution of successful software systems.
From our talk at Unicom DevOps Summit on 26th March 2015 in London.
Presentation given at QCon London on 4th March 2015
Tools, Collaboration, and Conway's Law: how to choose and use tools effectively for Continuous Delivery and DevOps
With an ever-increasing array of tools and technologies claiming to 'enable DevOps' or 'implement Continuous Delivery', how do we know which tools to try or to choose? In-house, open source, or commercial? Ruby or shell? Dedicated or plugins? It transpires that highly collaborative practices such as DevOps and Continuous Delivery require new ways of assessing tools and technologies in order to avoid creating new silos.
Matthew Skelton shares his recent experience of helping many different organisations to evaluate and select tools to facilitate DevOps and Continuous Delivery, including version control, log aggregation, deployment pipelines, monitoring and metrics, and infrastructure automation tools; the recommendations may surprise you.
As a Developer, you cannot attach the debugger to your application in Production, but you *can* use logging in a way which means you can diagnose problems very easily in both development AND Production. You also get to make friends with Operations people - win! In this tutorial, we'll show you how to get up and running with ELK (Elastic Search, LogStash, Kibana) with Vagrant on your developer machine for awesome logging-fu. Warning: may contain DevOps.
This slide deck covers spinning up a demo of elk using vagrant, and focusses on why aggregated logging is important, how it can add value and help enable collaboration and enhance 'Continual Service Improvement'.
With an ever-increasing array of tools and technologies claiming to 'enable DevOps', how do we know which tools to try or to choose? In-house, open source, or commercial? Ruby or shell? Dedicated or plugins? It transpires that highly collaborative practices such as DevOps and Continuous Delivery require new ways of assessing tools and technologies in order to avoid creating new silos. Matthew Skelton shares his recent experience of helping many different organisations to evaluate and select tools to facilitate DevOps; the recommendations may surprise you.
The way we think about data and databases must adapt to fit with dynamic 'cloud' infrastructure and Continuous Delivery. The need for rapid deployments and feedback from software changes combined with an increase in complexity of modern distributed systems and powerful new tooling are together driving significant changes to the way we design, build, and operate software systems. These changes require new ways of writing code, new team structures, and new ownership models for software systems, all of which in turn have implications for data and databases. In this talk, we will look at the factors driving increased deployability, the pattern of microservices as a way to improve deployability, changes to
data models that microservices bring, and changes to team structures and responsibilities required to make these new approaches effective in a Continuous Delivery context.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
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.
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
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.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdfJay Das
With the advent of artificial intelligence or AI tools, project management processes are undergoing a transformative shift. By using tools like ChatGPT, and Bard organizations can empower their leaders and managers to plan, execute, and monitor projects more effectively.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
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https://sumonreview.com/ai-pilot-review/
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See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.