I gave this talk to the Continuos Delivery Conference 2016 in Bossum.
It is showing how HolidayCheck migrated its infrastructure to a microservices and how this enabled the Continuos Delivery.
This document discusses HP's Big Data Monitoring Cockpit product. It provides real-time monitoring of big data environments including Hadoop and Vertica. The monitoring cockpit provides dashboards and visualizations to monitor performance, events, and the health of big data applications and infrastructure. It also helps with root cause analysis and problem resolution through automated and guided processes.
Architectures That Scale Deep - Regaining Control in Deep SystemsC4Media
Video and slides synchronized, mp3 and slide download available at URL https://bit.ly/2FWc5Sk.
Ben Sigelman talks about "Deep Systems", their common properties and re-introduces the fundamentals of control theory from the 1960s, including the original conceptualizations of Observability & Controllability. He uses examples from Google & other companies to illustrate how deep systems have damaged people's ability to observe software, and what needs to be done in order to regain control. Filmed at qconsf.com.
Ben Sigelman is a co-founder and the CEO at LightStep, a co-creator of Dapper (Google’s distributed tracing system), and co-creator of the OpenTracing and OpenTelemetry projects (both part of the CNCF). His work and interests gravitate towards observability, especially where microservices, high transaction volumes, and large engineering organizations are involved.
Everything You wanted to Know About Distributed TracingAmuhinda Hungai
In the age of microservices, understanding how applications are executing in a highly distributed environment can be complicated. Looking at log files only gives a snapshot of the whole story and looking at a single service in isolation simply does not give enough information. Each service is just one side of a bigger story. Distributed tracing has emerged as an invaluable technique that succeeds in summarizing all sides of the story into a shared timeline. Yet deploying it can be quite challenging, especially in the large scale, polyglot environments of modern companies that mix together many different technologies. During this session, we will take a look at patterns and means to implement Tracing for services. After introducing the basic concepts we will cover how the tracing model works, and how to safely use it in production to troubleshoot and diagnose issues.
This document provides an overview of monitoring in big data frameworks. It discusses the challenges of monitoring large-scale cloud environments running big data applications. Several open-source monitoring tools are described, including Hadoop Performance Monitoring UI, SequenceIQ, Ganglia, Apache Chukwa, and Nagios. Key requirements for monitoring big data platforms are also outlined, such as scalability, timeliness, and handling constant changes. The document concludes by introducing the DICE monitoring platform, which collects metrics from Hadoop, YARN, Spark, Storm and Kafka using Collectd and stores the data in Elasticsearch for analysis and visualization with Kibana.
Microservices architecture involves many services that are being distributed over the network resulting in many more ways of failure. This session will try to cover the available tools that can help you when designing/building such distributed system in Go
Why Distributed Tracing is Essential for Performance and ReliabilityDevOps.com
This document discusses how distributed tracing is essential for improving performance, reliability, developer velocity, and managing costs. It explains that distributed tracing provides end-to-end visibility into requests as they move between services, and allows teams to understand dependencies, pinpoint issues, and optimize software performance. The document provides examples of how distributed tracing can accelerate root cause analysis, generate more actionable alerts, inform architectural decisions, and help reduce infrastructure costs by focusing logging and storage. It concludes by recommending steps to implement distributed tracing, such as starting with critical user experiences, establishing conventions, and integrating tracing into existing workflows.
WJAX 2019 - Taking Distributed Tracing to the next levelFrank Pfleger
The shift from monolithic applications to microservices led to many new challenges we haven’t had before. Especially analyzing problems and tracking down erroneous components of a distributed system has become much more difficult as slicing and decoupling applications advances. We now have to answer questions like: How do we find out which services were involved when processing a specific request and how long did it take to respond? How do we figure out which service is causing a request to fail and why? These issues are addressed by Distributed Tracing tools like Zipkin, Jaeger, OpenTracing and OpenCensus. But how can we leverage the data we are gathering using such tools to gain new insights into our business processes, instead of just focussing on the technical aspects?
This document discusses HP's Big Data Monitoring Cockpit product. It provides real-time monitoring of big data environments including Hadoop and Vertica. The monitoring cockpit provides dashboards and visualizations to monitor performance, events, and the health of big data applications and infrastructure. It also helps with root cause analysis and problem resolution through automated and guided processes.
Architectures That Scale Deep - Regaining Control in Deep SystemsC4Media
Video and slides synchronized, mp3 and slide download available at URL https://bit.ly/2FWc5Sk.
Ben Sigelman talks about "Deep Systems", their common properties and re-introduces the fundamentals of control theory from the 1960s, including the original conceptualizations of Observability & Controllability. He uses examples from Google & other companies to illustrate how deep systems have damaged people's ability to observe software, and what needs to be done in order to regain control. Filmed at qconsf.com.
Ben Sigelman is a co-founder and the CEO at LightStep, a co-creator of Dapper (Google’s distributed tracing system), and co-creator of the OpenTracing and OpenTelemetry projects (both part of the CNCF). His work and interests gravitate towards observability, especially where microservices, high transaction volumes, and large engineering organizations are involved.
Everything You wanted to Know About Distributed TracingAmuhinda Hungai
In the age of microservices, understanding how applications are executing in a highly distributed environment can be complicated. Looking at log files only gives a snapshot of the whole story and looking at a single service in isolation simply does not give enough information. Each service is just one side of a bigger story. Distributed tracing has emerged as an invaluable technique that succeeds in summarizing all sides of the story into a shared timeline. Yet deploying it can be quite challenging, especially in the large scale, polyglot environments of modern companies that mix together many different technologies. During this session, we will take a look at patterns and means to implement Tracing for services. After introducing the basic concepts we will cover how the tracing model works, and how to safely use it in production to troubleshoot and diagnose issues.
This document provides an overview of monitoring in big data frameworks. It discusses the challenges of monitoring large-scale cloud environments running big data applications. Several open-source monitoring tools are described, including Hadoop Performance Monitoring UI, SequenceIQ, Ganglia, Apache Chukwa, and Nagios. Key requirements for monitoring big data platforms are also outlined, such as scalability, timeliness, and handling constant changes. The document concludes by introducing the DICE monitoring platform, which collects metrics from Hadoop, YARN, Spark, Storm and Kafka using Collectd and stores the data in Elasticsearch for analysis and visualization with Kibana.
Microservices architecture involves many services that are being distributed over the network resulting in many more ways of failure. This session will try to cover the available tools that can help you when designing/building such distributed system in Go
Why Distributed Tracing is Essential for Performance and ReliabilityDevOps.com
This document discusses how distributed tracing is essential for improving performance, reliability, developer velocity, and managing costs. It explains that distributed tracing provides end-to-end visibility into requests as they move between services, and allows teams to understand dependencies, pinpoint issues, and optimize software performance. The document provides examples of how distributed tracing can accelerate root cause analysis, generate more actionable alerts, inform architectural decisions, and help reduce infrastructure costs by focusing logging and storage. It concludes by recommending steps to implement distributed tracing, such as starting with critical user experiences, establishing conventions, and integrating tracing into existing workflows.
WJAX 2019 - Taking Distributed Tracing to the next levelFrank Pfleger
The shift from monolithic applications to microservices led to many new challenges we haven’t had before. Especially analyzing problems and tracking down erroneous components of a distributed system has become much more difficult as slicing and decoupling applications advances. We now have to answer questions like: How do we find out which services were involved when processing a specific request and how long did it take to respond? How do we figure out which service is causing a request to fail and why? These issues are addressed by Distributed Tracing tools like Zipkin, Jaeger, OpenTracing and OpenCensus. But how can we leverage the data we are gathering using such tools to gain new insights into our business processes, instead of just focussing on the technical aspects?
Acts of being in proxies for prints: People in the Catalogue of Political and...James Baker
The document summarizes findings from analyzing a collection of British satirical prints from 1770-1830 using natural language processing techniques. Some key findings include: occurrences of men and women rise and fall out of step with each other; occurrences of gendered words in the context of speech also rise and fall irregularly; speech acts, especially from unnamed men and women, experience growth; and the variety of male first names fluctuates while recurring female names become more prominent.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
DevOps and automation go hand in hand. We automated each step from the source code to the hosting facility with GoCD and Docker. Even the build process is completely dockerized and can run everywhere. We do not only build Java artifacts anymore. Our deliverables at the end of the build process are Docker images. This allows us to be language-, technology- and platform-agnostic. The images which are generated are tested in the pipeline too. To accomplish this we spin up a smaller version of the production environment on the fly. As those infrastructure instances are ephemeral and dynamic, we use Consul as the service directory for this environment. We make no difference between test and production environments. When tests are completed successfully, the image is automatically deployed to the hosting facility. This strategy offers even more benefits. It's allows the developers to develop and test code in the production environment. This way of working improved and revolutionized the complete development-, build- and rollout-process.
We will show and talk about this process, how we got rid of properties, are hoster-agnostic and used the same images for development and production.
Presented for Devopsdays 2015 in Berlin with a colleague: http://www.devopsdays.org/events/2015-berlin/proposals/How_Docker_and_Consul_is_used_for_dev_and_pro/
This document contains a SWOT analysis for a documentary pitch about body image. The strengths include extensive research on the target audience, a clear structure and history provided, and an engaging idea. Weaknesses note a potentially restricted audience and limited budget. Opportunities exist to incorporate historical context and interview various groups. Threats include the documentary being too long or similar to past works, and difficulties securing interviews inside clinics.
This document discusses genre in media such as music, film, and literature. It defines genre as a categorization based on common elements that allows studying of texts and audience responses. Examples of genres include jazz, classical, EDM, and documentaries. All genres have sub-genres that are more specific categories. Genre is a dynamic process that evolves over time, not a static system. Genre can be defined by elements such as costumes, props, locations, transportation, sounds, narratives, and characters. These elements are used to analyze genres like westerns featuring cowboys and deserts versus sci-fi featuring space suits and advanced technology. Ideology describes how genres construct meaning through codes and conventions.
"Microservices" stellen einen der meist diskutierten IT-Trends der letzten Monate dar. Doch wie designt man den perfekten Service? Oder anders gefragt, wie definiert man seine Grenzen? Als wichtiges Hilfsmittel auf dem Weg zum Erfolg dienen die Bounded Contexts aus Eric Evans Domain-Driven-Design-Ansatz sowie deren zugehörige Kommunikationsmuster.
Im Rahmen der Session wird an einem praktischen Beispiel ein bestehender Monolith seziert und in fachlich sinnvolle Microservices aufgeteilt - Diskussion inklusive.
Destination Kenya is a premier destination management company (DMC) and East Africa’s foremost MICE travel organizer. We specialize in the planning, designing and operation of incentive programs, corporate meetings and conferences as well as providing tailor-made safaris and holidays for groups or individual travelers.
Established in 1997, we have built a reputation for delivering innovative and affordable travel experiences professionally with a personalized touch. Our expertise and experience gives us the ability to coordinate the very largest of programs, or the most specific of requirements to meet the expectations of the most inspired client. We are the leading travel company in the region with a tradition of excellence in hospitality.
Este documento describe las diferentes formas en que el capital cultural puede existir, incluyendo como conocimiento práctico incorporado en el habitus, objetivado en bienes culturales, e institucionalizado a través de títulos escolares. También explica cómo el habitus media entre las estructuras objetivas de la sociedad y las prácticas individuales, y cómo reproduce las desigualdades sociales a través de la socialización y la educación.
Continuos Delivery in a Microservices environment Luca Mazzaferro
These slides are related to a talk I gave in Amsterdam for the Enterprise Cloud Computing and DevOps 2016 (ECCD2016).
The presentation explores:
- Adopting microservices to enforce team responsibilities and speed up development cycle in Continuous Delivery.
- Monitoring and alerting: tools and strategies, to ensure availability, reliability and high performances with microservices.
Chris Munns, DevOps @ Amazon: Microservices, 2 Pizza Teams, & 50 Million Depl...TriNimbus
Keynote presentation from Vancouver's 2016 Canadian Executive DevOps & Cloud Summit on Thursday, May 5th.
Speaker: Chris Munns, Business Development Manager, DevOps at Amazon Web Services
Title: DevOps @ Amazon: Microservices, 2 Pizza Teams, & 50 Million Deploys a Year
The document discusses operations challenges in adopting DevOps practices. It notes that DevOps requires breaking down barriers between development and operations teams through collaboration, communication, and shared tools and processes. Some challenges include disagreements over tool ownership, pressure to adopt new technologies quickly, integrating legacy systems with cloud technologies, testing approaches for microservices, and aligning global teams with different time zones and priorities. Solutions proposed include automating delivery pipelines, deploying and testing changes frequently, monitoring all environments, and embracing changes in culture, processes, and technologies.
Learn how Github analytics can help you gauge the health of your DevOps release cycle, gain visibility into team productivity, and secure your intellectual property.
Code to Cloud: Three Trends for Faster, Safer Continuous DeliveryVMware Tanzu
You’re faced with the business imperative to deliver value to your customers faster, with less risk, and at enterprise scale. But where do you start? There are so many approaches and products for implementing continuous delivery (CD) of modern apps.
Join our webinar to learn about three trends that can make your delivery pipelines inherently resilient, accessible, and continuous:
● continuous delivery as a relay race
● turning monitoring into automated action
● developer experience at the heart
We’ll share a demo of a delivery pipeline that includes Concourse CI, Pivotal Build Service, and Spinnaker CD with Pivotal Container Service as the destination. You’ll learn how a loosely coupled pipeline can provide speed with guardrails, enabling you to scale delivery of your modern applications.
This webinar is especially relevant for those who:
● think full software delivery automation is a pipe dream.
● have an app delivery pipeline that’s a brittle monolith to maintain.
● suspect all your delivery problems are solved with Kubernetes.
Speakers:
Olga Kundzich, Pivotal, Senior Product Manager Spinnaker
Tony Vetter, Pivotal, Technical Product Marketing Manager
Patricia Johnson, Pivotal, Product Marketing Manager CI/CD
How to choose tools for DevOps and Continuous Delivery - DevOps Manchester me...Matthew Skelton
This document discusses how to choose tools to support DevOps and continuous delivery. It recommends valuing collaboration when selecting tools, evolving tooling to avoid intimidating teams, and avoiding tools only used in production. The document also discusses Conway's Law and how an organization's structure impacts its ability to collaborate and select tools accordingly. It advocates considering how tools can help different teams work together rather than using singleton tools that hinder collaboration and learning.
This talk was done in Feb 2020. Sergey and I co-presented at CTO Forum on Microservices and Service Mesh (how they relate, requirements, goals, best practices and how DevOps and Agile has had convergence in the set of features for Service Mesh and gateways around observability, feature flags, etc.)
AWS re:Invent 2016: Effective Application Data Analytics for Modern Applicati...Amazon Web Services
IT is evolving from a cost center to a source of continuous innovation for business. At the heart of this transition are modern, revenue-generating applications, based on dynamic architectures that constantly evolve to keep pace with end-customer demands. This dynamic application environment requires a new, comprehensive approach to traditional monitoring – one based on real-time, end-to-end visibility and analytics across the entire application lifecycle and stack, instead of monitoring by piecemeal. This presentation highlights practical advice on how developers and operators can leverage data and analytics to glean critical information about their modern applications. In this session, we will cover the types of data important for today’s modern applications. We’ll discuss visibility and analytics into data sources such as AWS services (e.g., Amazon CloudWatch, AWS Lambda, VPC Flow Logs, Amazon EC2, Amazon S3, etc.), development tool chain, and custom metrics, and describe how to use analytics to understand business performance and behaviors. We discuss a comprehensive approach to monitoring, troubleshooting, and customer usage insights, provide examples of effective data analytics to improve software quality, and describe an end-to-end customer use case that highlights how analytics applies to the modern app lifecycle and stack. Session sponsored by Sumo Logic.
AWS Competency Partner
An established software development company passionately engaged in providing best Software Development, Mobile App development, Technology Consulting, IT Outsourcing Solutions and Human Capital Management services, Digital Wallet, Travel Portal, E-Learning development with our clients worldwide.
AWS Community Day: From Monolith to Microservices - What Could Go Wrong?Phuong Mai Nguyen
Almost every tech organisation right from start-ups to unimaginably big ones have had monolithic applications in the past and have moved on to nimbler approaches like microservices, making use of powerful cloud technologies. But not every organisation has made this move yet, with most of them still in analysing phase.
If you are part of this or interested in exploring how major players in the industry have managed to convert monoliths to microservices, join us in the talk to get an in-depth knowledge about things that could go wrong and how to make the right choices using AWS services. On top of practical techniques and real-life case studies, we will also be exploring agile methodologies and discuss if microservices are the right choice for your field of work.
Acts of being in proxies for prints: People in the Catalogue of Political and...James Baker
The document summarizes findings from analyzing a collection of British satirical prints from 1770-1830 using natural language processing techniques. Some key findings include: occurrences of men and women rise and fall out of step with each other; occurrences of gendered words in the context of speech also rise and fall irregularly; speech acts, especially from unnamed men and women, experience growth; and the variety of male first names fluctuates while recurring female names become more prominent.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
DevOps and automation go hand in hand. We automated each step from the source code to the hosting facility with GoCD and Docker. Even the build process is completely dockerized and can run everywhere. We do not only build Java artifacts anymore. Our deliverables at the end of the build process are Docker images. This allows us to be language-, technology- and platform-agnostic. The images which are generated are tested in the pipeline too. To accomplish this we spin up a smaller version of the production environment on the fly. As those infrastructure instances are ephemeral and dynamic, we use Consul as the service directory for this environment. We make no difference between test and production environments. When tests are completed successfully, the image is automatically deployed to the hosting facility. This strategy offers even more benefits. It's allows the developers to develop and test code in the production environment. This way of working improved and revolutionized the complete development-, build- and rollout-process.
We will show and talk about this process, how we got rid of properties, are hoster-agnostic and used the same images for development and production.
Presented for Devopsdays 2015 in Berlin with a colleague: http://www.devopsdays.org/events/2015-berlin/proposals/How_Docker_and_Consul_is_used_for_dev_and_pro/
This document contains a SWOT analysis for a documentary pitch about body image. The strengths include extensive research on the target audience, a clear structure and history provided, and an engaging idea. Weaknesses note a potentially restricted audience and limited budget. Opportunities exist to incorporate historical context and interview various groups. Threats include the documentary being too long or similar to past works, and difficulties securing interviews inside clinics.
This document discusses genre in media such as music, film, and literature. It defines genre as a categorization based on common elements that allows studying of texts and audience responses. Examples of genres include jazz, classical, EDM, and documentaries. All genres have sub-genres that are more specific categories. Genre is a dynamic process that evolves over time, not a static system. Genre can be defined by elements such as costumes, props, locations, transportation, sounds, narratives, and characters. These elements are used to analyze genres like westerns featuring cowboys and deserts versus sci-fi featuring space suits and advanced technology. Ideology describes how genres construct meaning through codes and conventions.
"Microservices" stellen einen der meist diskutierten IT-Trends der letzten Monate dar. Doch wie designt man den perfekten Service? Oder anders gefragt, wie definiert man seine Grenzen? Als wichtiges Hilfsmittel auf dem Weg zum Erfolg dienen die Bounded Contexts aus Eric Evans Domain-Driven-Design-Ansatz sowie deren zugehörige Kommunikationsmuster.
Im Rahmen der Session wird an einem praktischen Beispiel ein bestehender Monolith seziert und in fachlich sinnvolle Microservices aufgeteilt - Diskussion inklusive.
Destination Kenya is a premier destination management company (DMC) and East Africa’s foremost MICE travel organizer. We specialize in the planning, designing and operation of incentive programs, corporate meetings and conferences as well as providing tailor-made safaris and holidays for groups or individual travelers.
Established in 1997, we have built a reputation for delivering innovative and affordable travel experiences professionally with a personalized touch. Our expertise and experience gives us the ability to coordinate the very largest of programs, or the most specific of requirements to meet the expectations of the most inspired client. We are the leading travel company in the region with a tradition of excellence in hospitality.
Este documento describe las diferentes formas en que el capital cultural puede existir, incluyendo como conocimiento práctico incorporado en el habitus, objetivado en bienes culturales, e institucionalizado a través de títulos escolares. También explica cómo el habitus media entre las estructuras objetivas de la sociedad y las prácticas individuales, y cómo reproduce las desigualdades sociales a través de la socialización y la educación.
Continuos Delivery in a Microservices environment Luca Mazzaferro
These slides are related to a talk I gave in Amsterdam for the Enterprise Cloud Computing and DevOps 2016 (ECCD2016).
The presentation explores:
- Adopting microservices to enforce team responsibilities and speed up development cycle in Continuous Delivery.
- Monitoring and alerting: tools and strategies, to ensure availability, reliability and high performances with microservices.
Chris Munns, DevOps @ Amazon: Microservices, 2 Pizza Teams, & 50 Million Depl...TriNimbus
Keynote presentation from Vancouver's 2016 Canadian Executive DevOps & Cloud Summit on Thursday, May 5th.
Speaker: Chris Munns, Business Development Manager, DevOps at Amazon Web Services
Title: DevOps @ Amazon: Microservices, 2 Pizza Teams, & 50 Million Deploys a Year
The document discusses operations challenges in adopting DevOps practices. It notes that DevOps requires breaking down barriers between development and operations teams through collaboration, communication, and shared tools and processes. Some challenges include disagreements over tool ownership, pressure to adopt new technologies quickly, integrating legacy systems with cloud technologies, testing approaches for microservices, and aligning global teams with different time zones and priorities. Solutions proposed include automating delivery pipelines, deploying and testing changes frequently, monitoring all environments, and embracing changes in culture, processes, and technologies.
Learn how Github analytics can help you gauge the health of your DevOps release cycle, gain visibility into team productivity, and secure your intellectual property.
Code to Cloud: Three Trends for Faster, Safer Continuous DeliveryVMware Tanzu
You’re faced with the business imperative to deliver value to your customers faster, with less risk, and at enterprise scale. But where do you start? There are so many approaches and products for implementing continuous delivery (CD) of modern apps.
Join our webinar to learn about three trends that can make your delivery pipelines inherently resilient, accessible, and continuous:
● continuous delivery as a relay race
● turning monitoring into automated action
● developer experience at the heart
We’ll share a demo of a delivery pipeline that includes Concourse CI, Pivotal Build Service, and Spinnaker CD with Pivotal Container Service as the destination. You’ll learn how a loosely coupled pipeline can provide speed with guardrails, enabling you to scale delivery of your modern applications.
This webinar is especially relevant for those who:
● think full software delivery automation is a pipe dream.
● have an app delivery pipeline that’s a brittle monolith to maintain.
● suspect all your delivery problems are solved with Kubernetes.
Speakers:
Olga Kundzich, Pivotal, Senior Product Manager Spinnaker
Tony Vetter, Pivotal, Technical Product Marketing Manager
Patricia Johnson, Pivotal, Product Marketing Manager CI/CD
How to choose tools for DevOps and Continuous Delivery - DevOps Manchester me...Matthew Skelton
This document discusses how to choose tools to support DevOps and continuous delivery. It recommends valuing collaboration when selecting tools, evolving tooling to avoid intimidating teams, and avoiding tools only used in production. The document also discusses Conway's Law and how an organization's structure impacts its ability to collaborate and select tools accordingly. It advocates considering how tools can help different teams work together rather than using singleton tools that hinder collaboration and learning.
This talk was done in Feb 2020. Sergey and I co-presented at CTO Forum on Microservices and Service Mesh (how they relate, requirements, goals, best practices and how DevOps and Agile has had convergence in the set of features for Service Mesh and gateways around observability, feature flags, etc.)
AWS re:Invent 2016: Effective Application Data Analytics for Modern Applicati...Amazon Web Services
IT is evolving from a cost center to a source of continuous innovation for business. At the heart of this transition are modern, revenue-generating applications, based on dynamic architectures that constantly evolve to keep pace with end-customer demands. This dynamic application environment requires a new, comprehensive approach to traditional monitoring – one based on real-time, end-to-end visibility and analytics across the entire application lifecycle and stack, instead of monitoring by piecemeal. This presentation highlights practical advice on how developers and operators can leverage data and analytics to glean critical information about their modern applications. In this session, we will cover the types of data important for today’s modern applications. We’ll discuss visibility and analytics into data sources such as AWS services (e.g., Amazon CloudWatch, AWS Lambda, VPC Flow Logs, Amazon EC2, Amazon S3, etc.), development tool chain, and custom metrics, and describe how to use analytics to understand business performance and behaviors. We discuss a comprehensive approach to monitoring, troubleshooting, and customer usage insights, provide examples of effective data analytics to improve software quality, and describe an end-to-end customer use case that highlights how analytics applies to the modern app lifecycle and stack. Session sponsored by Sumo Logic.
AWS Competency Partner
An established software development company passionately engaged in providing best Software Development, Mobile App development, Technology Consulting, IT Outsourcing Solutions and Human Capital Management services, Digital Wallet, Travel Portal, E-Learning development with our clients worldwide.
AWS Community Day: From Monolith to Microservices - What Could Go Wrong?Phuong Mai Nguyen
Almost every tech organisation right from start-ups to unimaginably big ones have had monolithic applications in the past and have moved on to nimbler approaches like microservices, making use of powerful cloud technologies. But not every organisation has made this move yet, with most of them still in analysing phase.
If you are part of this or interested in exploring how major players in the industry have managed to convert monoliths to microservices, join us in the talk to get an in-depth knowledge about things that could go wrong and how to make the right choices using AWS services. On top of practical techniques and real-life case studies, we will also be exploring agile methodologies and discuss if microservices are the right choice for your field of work.
Building a Software Chain of Custody: A Guide for CTOs, CIOs, and Enterprise ...XebiaLabs
For most of us, compliance audits are painful processes that interfere with our ability to do our job – building and delivering software – and steal time and resources away from that next great innovation. Until now.
The XebiaLabs Software Chain of Custody provides everything you need to visualize, monitor, and prove the integrity of your software delivery pipelines on demand. Push the button, get the report. You’re done. No more audit hell.
Learn how a Software Chain of Custody helps:
DevOps teams focus on doing what they love, rather than wasting valuable time putting together audit reports
Executives gain full visibility into release pipelines so they can stop losing sleep over governance and security audits
InfoSec teams and auditors instantly get the reports they need so they can quickly approve releases
Monitoring Containerized Micro-Services In AzureAlex Bulankou
This document discusses best practices for monitoring containerized microservices applications in Azure. It begins with an introduction to Application Insights and describes the agenda. It then discusses what is different about monitoring microservices compared to monolithic applications and some factors to consider when choosing a monitoring system. The document provides recommendations for setting up day-to-day monitoring operations, including maintaining a 15 minute daily triage process focusing on business metrics, application performance and health, and infrastructure and costs. It concludes with a demo of monitoring a sample microservices application using Application Insights and other tools.
This document discusses DevOps practices at Trend Micro. It begins with an introduction of the author and his background. It then discusses why DevOps is important for Trend Micro's consumer products team, describing increased deployment frequency, stability, and productivity. The document defines DevOps as involving a culture of collaboration between development and operations teams. It emphasizes automating infrastructure provisioning and implementing a measurement and feedback culture. Quality is discussed as a key focus, with emphasis on testing earlier and enabling continuous quality. The document concludes that DevOps at Trend Micro involves applying CAMS principles: Culture, Automation, Measurement, and Sharing.
Accelerate User Driven Innovation [Webinar]Dynatrace
https://info.dynatrace.com/apm_dtm_ops_17q4_wc_accelerate_user_driven_innovation_en_registration.html
Accelerate User Driven Innovation [Webinar]
DevOps adopters are more agile, more reliable and more successful but, only 2% of companies worldwide have adopted DevOps best practices.
We know it’s more difficult for enterprises companies with legacy systems and processes to get started but it isn’t impossible.
To help you accelerate your own DevOps journey & realise some of the benefits, we’re thrilled to be hosting international DevOps experts Andreas Grabner, Mark Tomlinson and James Pulley.
With combined experience across hundreds of DevOps deployments they have some remarkable use cases to share including Verizon, and even our own story of transforming from on premise six month waterfall deployment to a cloud native one hour continuous delivery model.
Don’t miss these amazing insights. Register today!
Cloud Governance & DevOps: Must-have Tools on Your Journey to Azure CloudPredica Group
Are you planning to migrate your IT environment from on-prem to the Microsoft Azure cloud? Or maybe you've already started, found it challenging, and need tools to help you along?
We understand that the journey from on-prem to the cloud is no cakewalk. Fortunately, we’ve done this a few times and want to share our expertise with you. We’ll introduce two key concepts: Cloud Governance and DevOps. These tools and processes will help you overcome your challenges and help you prepare for the complex journey ahead.
What are Cloud Governance and Dev Ops and how will they help your organization succeed?
Check out the presentation and watch the full webinar led by Microsoft-certified MVPs and cloud migration experts! http://bit.ly/35qvoPk
Key findings among the industry analysts: “Managing telecom & cloud expenses is a complex task that requires knowledge about multiple technical an business topics”.
Widecoup Billing has helped our clients to find savings primarily through the reduction on the different types of telco consumption and communications expenditures
Navigator Systems ltd HireTrack NX questionsDavid Rose
Navigator Systems Ltd has been developing rental software since 1995. Their current software, HireTrack Eclipse, was released in 1999 and is being replaced by a new version called HireTrack NX, which is undergoing final testing and will be released in Q3 2013. HireTrack NX was designed to meet growing customer needs and integrate with other applications. It includes improved reporting, querying, scheduling, inventory management, and customer relationship management features. Navigator is committed to customer input on customizations and future development through their support portal and social media channels.
Case study: How Cozy Cloud monitors every layer of its activity using OVH Met...OVHcloud
Find out how Cozy Cloud uses the OVH Metrics Data Platform to monitor and optimise its SaaS service for the general public. From performance data aggregation to customer usage metrics, the Cozy Cloud teams will share their data-centric collaboration experience with you.
Microservices at Scale: How to Reduce Overhead and Increase Developer Product...DevOps.com
As a cloud native application grows in size—more microservices, more dependencies, more teams—there’s a corresponding increase in…
Complexity: Over time, the application becomes a lot harder for a single developer to reason about and contribute to. Staying on top of READMEs and managing cross-team communication is practically a full-time job.
Scaling challenges: The reality of building, deploying, and testing a 100+ service distributed application means developers are going to spend a lot of time sitting around waiting.
But it doesn’t have to end up this way, and there are concrete steps that DevOps engineers can take to keep their developers moving quickly even as an application grows. In this webinar, we’ll show you how to use open source products to:
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SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
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A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
3. ▪ I was born in Rome where I spent most of my
life until 2013 when I moved to Munich.
▪ Former physicist, member of ATLAS
experiment @CERN during the roaring master
degree and Ph.D. years. Mainly focusing in data
analysis and grid computing.
▪ In June 2015, I sold my soul to the business,
leaving the public research for happily joining
HolidayCheck as devops engineer
About Me
12. Pre HC micro-services era:
Not so much time ago…
ABC
1 Day1 Week2 Weeks
C
B A
ABC
Development
Collect
&
Merge
Test & Deploy
13. Pre HC micro-services era:
Not so much time ago…
Results:
● Low deployment rate
● Frequent full roll backs
● Many inter teams
dependencies
● Hard team planning
● High stress
16. Pre HC micro-services era:
Not so much time ago…
Results:
● Low deployments rate
● Teams queued
● Inter teams dependencies
● Still monolithic application
17. Pre HC micro-services era:
Not so much time ago…
Continuous Delivery is the ability to get changes of all
types—including new features, configuration changes, bug
fixes and experiments—into production, or into the hands
of users, safely and quickly in a sustainable way.*
A bit better but still far away from here:
* continuousdelivery.com
21. The 1st ingredient
1. Slow migration: from mobile to desktop
2. One section after another: less traffic to higher
3. Getting rid of old legacy software (when possible)
Migration Plan:
23. • Preferred small cross functional teams (5-6 people)
• Devops Culture adopted via in-team devops engineer
• Teams responsible for their own products (microservices)
• Inter-teams dependencies removed and autonomy enforced
2nd ingredient
PO/TO SM Devs Devops
Eng.
Ops Team
Teams structure & reposibilities
Organiza(ons which design systems ... are constrained to produce designs which are
copies of the communica(on structures of these organiza(ons [M. Conway]
*
25. The new technology stack
The Dust project
Creation of Dust Team (Ops + Dev):
• Setup the new infrastructure
focused to run micro-services
• Develop specific tools for micro-
services deployments
• Support teams for services
“containerization”
Dust
Environment
26. The new technology stack
The Dust project
Dust
Environment
Main advantages:
• Easily scalable
• Ready for Continuous
Deployments
• Services easy to monitor
• Isolated environment
• Enforce team autonomy
28. The new technology stack
• Metric basedAlerts
• Logs
• System metrics
Default
Monitoring
• Teams defined
dashboards
Custom
Monitoring
New approach to monitoring and alerting
29. • Required for each service
• Based on the user experience
(mainly error rate and response
time)
• Customizable by the teams
• Automatically deployed
Alerts
You can’t survive without
30. Alerts
A simple overview
A
B C
DUST
NGINX metrics
Customizable Metrics
Alerts defined on user
experience:
- Error rate (5XX, 4XX)
- Response Time
On Call
Duty
Teams
Traffic
31. • Automatically deployed
• Based on logs and metrics
• Useful for
debugging
criticalities discovery
performances issue discovery
• Accessible by devs and ops.
Default Monitoring
Makes your life easier
32. • One centralize system for
all the logs
• Search and visualize
• No configuration needed
• Easy to integrate in GCE
Default Monitoring
Logs
Servers
Microservices
GCE
33. • Grafana shows all the
metrics collected by
Prometheus
• Custom metrics
• Custom dashboards
Default Monitoring
Custom Metrics
Servers
Microservices
GCE
37. • Team defined metrics
and dashboards
• Freedom to chose tools
and technologies
• Mainly for service quality
and performances
monitoring
• Data & Business analysis
Custom Monitoring
Can drive business decisions
41. Conclusions
The adoption of microservices
enforced team autonomy, enabled
the Continuous Delivery and
increased the deployment rate.
The entire infrastructure is more
stable, reliable, maintainable
and scalable
A smooth migration in Google
has been helped only by the
previous micro-services
adoption.
42. Conclusions
The adoption of microservices
enforced team autonomy, enabled
the Continuous Delivery and
increased the deployment rate.
The entire infrastructure is more
stable, reliable, maintainable
and scalable
A smooth migration in Google
has been helped only by the
previous micro-services
adoption.