According to Google, SRE is what you get when you treat operations as if it’s a software problem. In this video, I briefly explain various practical alerting considerations and views from Google.
Youtube channel here: https://youtu.be/EgpCw15fIK8
According to Google, SRE is what you get when you treat operations as if it’s a software problem. In this video, I briefly explain the term SRE (Site Reliability Engineering) and introduce key metrics for an SRE team SLI, SLO, and SLA.
Youtube Channel here: https://www.youtube.com/playlist?list=PLm_COkBtXzFq5uxmamT0tqXo-aKftLC1U
This document provides an introduction to Site Reliability Engineering (SRE). It lists the credentials and background of Diego Pacheco, including his roles as a cat's father, principal software architect, agile coach, and expert in SOA/microservices, DevOps, and observability. The document then defines SRE as "what happens when you ask a software engineer to design an operations function" and outlines some key aspects of SRE culture, including MTTD, MTTR, error budgets, jitter retries, exponential back-off, the "You build it you run it" mindset, and production readiness.
How Small Team Get Ready for SRE (public version)Setyo Legowo
This document discusses how small teams can get ready for Site Reliability Engineering (SRE). It describes the challenges faced by a small engineering team at a company with around 100 employees and 10 engineers. To address issues with productivity, reliability, and deployment speed, the team implemented several initiatives including adopting SCRUM, adding automated testing, simplifying deployments, and creating easy-to-use development environments. While these changes helped, the team knows there is still work needed in areas like data center operations and establishing formal SLAs and incident management processes as the company and services grow. The presentation concludes by discussing why SRE is preferable to just DevOps and provides resources for further learning.
This talk explains a proven approach to assessment SRE practices for an organization. The approach uses a 9 pillar model and 7 step transformation blueprint to determine current state of SRE practices and to set a roadmap to improve SRE practices towards industry best practices.
According to Google, SRE is what you get when you treat operations as if it’s a software problem. In this video, I briefly explain what is and isn't toil, how to identify, measure and eliminate them.
Youtube channel here: https://youtu.be/EgpCw15fIK8
The document discusses the growth of Site Reliability Engineering (SRE) at Squarespace from a team of 2 people in New York to a global organization with teams in New York, Portland, and Dublin. It describes how the initial SRE team focused on three pillars: monitoring and alerting, configuration management, and builds and deploys. It then explains how the SRE organization expanded to include additional teams focused on areas like provisioning, release engineering, developer productivity, and observability while also embedding SREs within product teams.
SRE (Site Reliability Engineering) is responsible for availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning of services. An SRE team uses an "error budget" approach where new features can be launched if the service is within its agreed SLA, but launches are frozen if the SLA is not being met until enough of the error budget is earned back. SRE teams hire only coders who can speak the same language as developers and rotate developers into operations work. The goal of SRE is to minimize impact and prevent recurrence of outages through practices like post-mortem analysis and constant improvement of processes.
Site Reliability Engineering: An Enterprise Adoption Story (an ITSM Academy W...ITSM Academy, Inc.
Presenter: Perry Statham
SRE Squad Leader with IBM Cloud DevOps Services
In this presentation, the IBM DevOps Services SRE team will give a brief introduction to Site Reliability Engineering, then show how they adopted its principals in their existing enterprise organization.
According to Google, SRE is what you get when you treat operations as if it’s a software problem. In this video, I briefly explain the term SRE (Site Reliability Engineering) and introduce key metrics for an SRE team SLI, SLO, and SLA.
Youtube Channel here: https://www.youtube.com/playlist?list=PLm_COkBtXzFq5uxmamT0tqXo-aKftLC1U
This document provides an introduction to Site Reliability Engineering (SRE). It lists the credentials and background of Diego Pacheco, including his roles as a cat's father, principal software architect, agile coach, and expert in SOA/microservices, DevOps, and observability. The document then defines SRE as "what happens when you ask a software engineer to design an operations function" and outlines some key aspects of SRE culture, including MTTD, MTTR, error budgets, jitter retries, exponential back-off, the "You build it you run it" mindset, and production readiness.
How Small Team Get Ready for SRE (public version)Setyo Legowo
This document discusses how small teams can get ready for Site Reliability Engineering (SRE). It describes the challenges faced by a small engineering team at a company with around 100 employees and 10 engineers. To address issues with productivity, reliability, and deployment speed, the team implemented several initiatives including adopting SCRUM, adding automated testing, simplifying deployments, and creating easy-to-use development environments. While these changes helped, the team knows there is still work needed in areas like data center operations and establishing formal SLAs and incident management processes as the company and services grow. The presentation concludes by discussing why SRE is preferable to just DevOps and provides resources for further learning.
This talk explains a proven approach to assessment SRE practices for an organization. The approach uses a 9 pillar model and 7 step transformation blueprint to determine current state of SRE practices and to set a roadmap to improve SRE practices towards industry best practices.
According to Google, SRE is what you get when you treat operations as if it’s a software problem. In this video, I briefly explain what is and isn't toil, how to identify, measure and eliminate them.
Youtube channel here: https://youtu.be/EgpCw15fIK8
The document discusses the growth of Site Reliability Engineering (SRE) at Squarespace from a team of 2 people in New York to a global organization with teams in New York, Portland, and Dublin. It describes how the initial SRE team focused on three pillars: monitoring and alerting, configuration management, and builds and deploys. It then explains how the SRE organization expanded to include additional teams focused on areas like provisioning, release engineering, developer productivity, and observability while also embedding SREs within product teams.
SRE (Site Reliability Engineering) is responsible for availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning of services. An SRE team uses an "error budget" approach where new features can be launched if the service is within its agreed SLA, but launches are frozen if the SLA is not being met until enough of the error budget is earned back. SRE teams hire only coders who can speak the same language as developers and rotate developers into operations work. The goal of SRE is to minimize impact and prevent recurrence of outages through practices like post-mortem analysis and constant improvement of processes.
Site Reliability Engineering: An Enterprise Adoption Story (an ITSM Academy W...ITSM Academy, Inc.
Presenter: Perry Statham
SRE Squad Leader with IBM Cloud DevOps Services
In this presentation, the IBM DevOps Services SRE team will give a brief introduction to Site Reliability Engineering, then show how they adopted its principals in their existing enterprise organization.
DevOps Vs SRE Major Differences That You Need To Know - Hidden Brains InfotechRosalie Lauren
DevOps Vs SRE what option should you choose to manage your IT infrastructure? Having a mobile app has become a crucial business need in the age of digitalization. Also, two key methodologies that help you improve the product lifecycle and accelerate app development are DevOps and Site Reliability Engineers (SREs).
Independently from the DevOps movement but starting from the same problems, Google developed its own strategy defining a new specific role called SRE (Site Reliability Engineer). This introduction tries to explain the history and the concept of this methodology and to compare it with the DevOps manifesto to understand what does it mean to adopt DevOps and what does it mean to be an SRE and what the two things are sharing and where they diverge.
In this presentation I will speak how are the SRE and DevOps, what is a reliability. Also about the reliability approach in Competitive Gaming in Wargaming and show a few cases.
This document provides an introduction to Site Reliability Engineering (SRE). It discusses DevOps principles and how SRE relates to and implements DevOps. Key aspects of SRE covered include guiding principles like eliminating toil, embracing risk, and measuring services through SLIs, SLOs, and error budgets. Specific SRE practices mentioned are removing toil, defining system criticalities, designing for availability, observability, chaos engineering, restricting production access, and focusing on metrics like MTTR and MTBF.
Getting started with Site Reliability Engineering (SRE)Abeer R
"Getting started with Site Reliability Engineering (SRE): A guide to improving systems reliability at production"
This is an intro guide to share some of the common concepts of SRE to a non-technical audience. We will look at both technical and organizational changes that should be adopted to increase operational efficiency, ultimately benefiting for global optimizations - such as minimize downtime, improve systems architecture & infrastructure:
- improving incident response
- Defining error budgets
- Better monitoring of systems
- Getting the best out of systems alerting
- Eliminating manual, repetitive actions (toils) by automation
- Designing better on-call shifts/rotations
How to design the role of the Site Reliability Engineer (who effectively works between application development teams and operations support teams)
Adopting Kubernetes for production has huge impacts on operations at all levels. We present our pattern for formalizing cluster operations as a separate role from infrastructure and application operations, and explore the impact on the role of the SRE.
Service Level Terminology : SLA ,SLO & SLIKnoldus Inc.
1. SRE is the discipline of applying software engineering practices to solve operations problems to build reliable systems.
2. Service level terminology includes Service Level Indicators (SLIs) which are quantitative measures of service aspects like latency or error rates, Service Level Objectives (SLOs) which are goals for specific metrics, and Service Level Agreements (SLAs) which are agreements within an SLA.
3. Choosing the right SLIs, crafting meaningful SLOs, collecting indicator data, and meeting customer expectations through SLAs are important for building reliable services.
Site reliability engineering (SRE) is a set of principles that applies software engineering practices to infrastructure and operations. SRE teams use automation and software development skills to manage systems and solve problems in order to create highly reliable and scalable software systems. SRE teams are responsible for availability, performance, monitoring, change management, emergency response, and capacity planning within an engineering organization. SRE focuses on automation, system design, and improvements to system resilience.
This document provides a summary of chapters 1 and 2 from the SRE book. Chapter 1 discusses the sysadmin approach versus Google's SRE approach. The key aspects of SRE include focusing on software engineering to automate tasks, maintaining a 50% cap on operational work, and using an error budget to balance change velocity and reliability. Chapter 2 describes Google's production environment, including the use of Borg for resource management, Colossus for storage, Chubby for locking services, and gRPC for RPC communication. It also discusses development practices like code reviews and shared code repositories.
SRE-iously! Defining the Principles, Habits, and Practices of Site Reliabilit...Tori Wieldt
The document discusses the principles, habits, and practices of site reliability engineering (SRE) at New Relic. It describes New Relic's transition from a monolithic architecture with siloed teams to a microservices architecture with 200+ services and embedded SREs on engineering teams. The goals of SREs at New Relic are to continuously improve the reliability of their platform through two main roles: "pure" SREs who build core platforms and embedded SREs who partner with engineering teams. SREs focus on three spheres: stability, reliability, and engineering.
Implementing SRE practices: SLI/SLO deep dive - David Blank-Edelman - DevOpsD...DevOpsDays Tel Aviv
This document discusses best practices for site reliability engineering (SRE). It recommends hiring only coders, establishing service level agreements (SLAs) and measuring performance against them. It also suggests using error budgets, maintaining a common staffing pool for SRE and development teams, ensuring on-call teams have at least 8 people, and conducting post-mortems after every incident. Key reliability metrics like availability, latency, throughput and quality are identified. Objectives, service level objectives (SLOs) and responses if the error budget is exceeded or exhausted are outlined.
<p>From <a href="https://en.wikipedia.org/wiki/Site_reliability_engineering" target="_blank">Wikipedia</a>: Site reliability engineering (SRE) is a discipline that incorporates aspects of software engineering and applies that to operations whose goals are to create ultra-scalable and highly reliable software systems.<p>
<p>Over the past year Acquia has built their own SRE team to help their products and services scale with the demand of our growing number of customers. We wish to share our experience so that others are enabled to do the same and reap the rewards.</p>
<p>This presentation will discuss how the SRE team came about at Acquia, what achievements we have made so far, and the lessons we have learned along the way. We will then show the steps on how to introduce SRE to your workplace so you can deliver more reliable and scalable services to your customers! We will specifically cover:</p>
<ul>
<li>SRE's basic concepts and history from Google</li>
<li>The management support you will need to get started</li>
<li>Introducing the idea of service level objectives and error budgets</li>
<li>Operational Responsibility Assessments as a tool to measure risk</li>
<li>Creating a Launch Readiness Checklist to standardize and improve product launches</li>
<li>Finding ideal candidates for your SRE team</li></ul>
<p>The intended audience are software engineers, system administrators, and managers that have a desire to improve how they do their work and how their products/services perform.</p>
SRE (service reliability engineer) on big DevOps platform running on the clou...DevClub_lv
SRE (service reliability engineer). The talk is to explain the SRE philosophy and the principles of production engineering and operations in clouds.
(Language – English)
Pavlo is ADOP (Accenture DevOps Platform) Service Reliability Team Lead, SRE practitioner. Has more then 18 years of IT experience in Ops and Dev.
An overview of Google's Site Reliability Engineering with a view toward possible incorporation in the IEEE P2675 DevOps security standard. (Creative Commons with credit.)
Performance Engineering Masterclass: Efficient Automation with the Help of SR...ScyllaDB
Henrik Rexed from Dynatrace walks through how to measure, validate and visualize these SLOs using Prometheus, an open observability platform, to provide concrete examples. Next, you learn how to automate your deployment using Keptn, a cloud-native event-based life-cycle orchestration framework. Discover how it can be used for multi-stage delivery, remediation scenarios, and automating production tasks.
Overview of Site Reliability Engineering (SRE) & best practicesAshutosh Agarwal
In any software organization, stability & innovation are always at loggerheads - the faster you move, the more things will break. This talk defines what SRE org looks like at high-tech organizations (Google, Uber).
DevOps aims to bring development and operations teams closer together through automation, shared tools and processes. Automating builds improves consistency, reduces errors and improves productivity. Common issues with builds include them being too long, handling a large volume, or being too complex. Solutions include improving build speed, addressing long/complex builds through techniques like distributed builds, and using build acceleration tools. Automation is a key part of DevOps and enables continuous integration, testing and deployment.
Prometheus was recently accepted into the Cloud Native Computing Foundation, making it the second project after Kubernetes to be given their blessing and acknowledging that Prometheus and Kubernetes make an awesome combination. In this talk we'll cover common patterns for running Prometheus on Kubernetes, how to monitor services on Kubernetes, and some cool tips and hacks to ensure you get the most out of your Prometheus + Kubernetes deployment.
Site Reliability Engineering (SRE) - Tech Talk by Keet SugathadasaKeet Sugathadasa
When it comes to Site Reliability Engineering, short for SRE, the resources available online are only limited to the books published by Google themselves. They do share some useful case studies that will help us understand what SRE is, and how to understand the concepts given in it, but they do not clearly explain how to build your own SRE team for your organization. The concept of SRE was cooked fresh within the walls of Google and later released to the general public as a practice for anyone to follow.
In this presentation I would like to give a brief introduction to SRE and why it is important to any Software Engineering organization. This is based on my experiences and learnings from leading a Site Reliability Engineering team for leading organizations in the US and Norway.
This presentation was conducted by me as a Tech Talk as an Associate Technical Lead at Creative Software Sri Lanka.
This technical presentation by EDB Dave Thomas, Systems Engineer provides an overview of:
1) BGWriter/Writer Process
2) Wall Writer Process
3) Stats Collector Process
4) Autovacuum Launch Process
5) Syslogger Process/Logger process
6) Archiver Process
7) WAL Send/Receive Processes
MongoDB 3.2 introduces a host of new features and benefits, including encryption at rest, document validation, MongoDB Compass, numerous improvements to queries and the aggregation framework, and more. To take advantage of these features, your team needs an upgrade plan.
In this session, we’ll walk you through how to build an upgrade plan. We’ll show you how to validate your existing deployment, build a test environment with a representative workload, and detail how to carry out the upgrade. By the end, you should be prepared to start developing an upgrade plan for your deployment.
DevOps Vs SRE Major Differences That You Need To Know - Hidden Brains InfotechRosalie Lauren
DevOps Vs SRE what option should you choose to manage your IT infrastructure? Having a mobile app has become a crucial business need in the age of digitalization. Also, two key methodologies that help you improve the product lifecycle and accelerate app development are DevOps and Site Reliability Engineers (SREs).
Independently from the DevOps movement but starting from the same problems, Google developed its own strategy defining a new specific role called SRE (Site Reliability Engineer). This introduction tries to explain the history and the concept of this methodology and to compare it with the DevOps manifesto to understand what does it mean to adopt DevOps and what does it mean to be an SRE and what the two things are sharing and where they diverge.
In this presentation I will speak how are the SRE and DevOps, what is a reliability. Also about the reliability approach in Competitive Gaming in Wargaming and show a few cases.
This document provides an introduction to Site Reliability Engineering (SRE). It discusses DevOps principles and how SRE relates to and implements DevOps. Key aspects of SRE covered include guiding principles like eliminating toil, embracing risk, and measuring services through SLIs, SLOs, and error budgets. Specific SRE practices mentioned are removing toil, defining system criticalities, designing for availability, observability, chaos engineering, restricting production access, and focusing on metrics like MTTR and MTBF.
Getting started with Site Reliability Engineering (SRE)Abeer R
"Getting started with Site Reliability Engineering (SRE): A guide to improving systems reliability at production"
This is an intro guide to share some of the common concepts of SRE to a non-technical audience. We will look at both technical and organizational changes that should be adopted to increase operational efficiency, ultimately benefiting for global optimizations - such as minimize downtime, improve systems architecture & infrastructure:
- improving incident response
- Defining error budgets
- Better monitoring of systems
- Getting the best out of systems alerting
- Eliminating manual, repetitive actions (toils) by automation
- Designing better on-call shifts/rotations
How to design the role of the Site Reliability Engineer (who effectively works between application development teams and operations support teams)
Adopting Kubernetes for production has huge impacts on operations at all levels. We present our pattern for formalizing cluster operations as a separate role from infrastructure and application operations, and explore the impact on the role of the SRE.
Service Level Terminology : SLA ,SLO & SLIKnoldus Inc.
1. SRE is the discipline of applying software engineering practices to solve operations problems to build reliable systems.
2. Service level terminology includes Service Level Indicators (SLIs) which are quantitative measures of service aspects like latency or error rates, Service Level Objectives (SLOs) which are goals for specific metrics, and Service Level Agreements (SLAs) which are agreements within an SLA.
3. Choosing the right SLIs, crafting meaningful SLOs, collecting indicator data, and meeting customer expectations through SLAs are important for building reliable services.
Site reliability engineering (SRE) is a set of principles that applies software engineering practices to infrastructure and operations. SRE teams use automation and software development skills to manage systems and solve problems in order to create highly reliable and scalable software systems. SRE teams are responsible for availability, performance, monitoring, change management, emergency response, and capacity planning within an engineering organization. SRE focuses on automation, system design, and improvements to system resilience.
This document provides a summary of chapters 1 and 2 from the SRE book. Chapter 1 discusses the sysadmin approach versus Google's SRE approach. The key aspects of SRE include focusing on software engineering to automate tasks, maintaining a 50% cap on operational work, and using an error budget to balance change velocity and reliability. Chapter 2 describes Google's production environment, including the use of Borg for resource management, Colossus for storage, Chubby for locking services, and gRPC for RPC communication. It also discusses development practices like code reviews and shared code repositories.
SRE-iously! Defining the Principles, Habits, and Practices of Site Reliabilit...Tori Wieldt
The document discusses the principles, habits, and practices of site reliability engineering (SRE) at New Relic. It describes New Relic's transition from a monolithic architecture with siloed teams to a microservices architecture with 200+ services and embedded SREs on engineering teams. The goals of SREs at New Relic are to continuously improve the reliability of their platform through two main roles: "pure" SREs who build core platforms and embedded SREs who partner with engineering teams. SREs focus on three spheres: stability, reliability, and engineering.
Implementing SRE practices: SLI/SLO deep dive - David Blank-Edelman - DevOpsD...DevOpsDays Tel Aviv
This document discusses best practices for site reliability engineering (SRE). It recommends hiring only coders, establishing service level agreements (SLAs) and measuring performance against them. It also suggests using error budgets, maintaining a common staffing pool for SRE and development teams, ensuring on-call teams have at least 8 people, and conducting post-mortems after every incident. Key reliability metrics like availability, latency, throughput and quality are identified. Objectives, service level objectives (SLOs) and responses if the error budget is exceeded or exhausted are outlined.
<p>From <a href="https://en.wikipedia.org/wiki/Site_reliability_engineering" target="_blank">Wikipedia</a>: Site reliability engineering (SRE) is a discipline that incorporates aspects of software engineering and applies that to operations whose goals are to create ultra-scalable and highly reliable software systems.<p>
<p>Over the past year Acquia has built their own SRE team to help their products and services scale with the demand of our growing number of customers. We wish to share our experience so that others are enabled to do the same and reap the rewards.</p>
<p>This presentation will discuss how the SRE team came about at Acquia, what achievements we have made so far, and the lessons we have learned along the way. We will then show the steps on how to introduce SRE to your workplace so you can deliver more reliable and scalable services to your customers! We will specifically cover:</p>
<ul>
<li>SRE's basic concepts and history from Google</li>
<li>The management support you will need to get started</li>
<li>Introducing the idea of service level objectives and error budgets</li>
<li>Operational Responsibility Assessments as a tool to measure risk</li>
<li>Creating a Launch Readiness Checklist to standardize and improve product launches</li>
<li>Finding ideal candidates for your SRE team</li></ul>
<p>The intended audience are software engineers, system administrators, and managers that have a desire to improve how they do their work and how their products/services perform.</p>
SRE (service reliability engineer) on big DevOps platform running on the clou...DevClub_lv
SRE (service reliability engineer). The talk is to explain the SRE philosophy and the principles of production engineering and operations in clouds.
(Language – English)
Pavlo is ADOP (Accenture DevOps Platform) Service Reliability Team Lead, SRE practitioner. Has more then 18 years of IT experience in Ops and Dev.
An overview of Google's Site Reliability Engineering with a view toward possible incorporation in the IEEE P2675 DevOps security standard. (Creative Commons with credit.)
Performance Engineering Masterclass: Efficient Automation with the Help of SR...ScyllaDB
Henrik Rexed from Dynatrace walks through how to measure, validate and visualize these SLOs using Prometheus, an open observability platform, to provide concrete examples. Next, you learn how to automate your deployment using Keptn, a cloud-native event-based life-cycle orchestration framework. Discover how it can be used for multi-stage delivery, remediation scenarios, and automating production tasks.
Overview of Site Reliability Engineering (SRE) & best practicesAshutosh Agarwal
In any software organization, stability & innovation are always at loggerheads - the faster you move, the more things will break. This talk defines what SRE org looks like at high-tech organizations (Google, Uber).
DevOps aims to bring development and operations teams closer together through automation, shared tools and processes. Automating builds improves consistency, reduces errors and improves productivity. Common issues with builds include them being too long, handling a large volume, or being too complex. Solutions include improving build speed, addressing long/complex builds through techniques like distributed builds, and using build acceleration tools. Automation is a key part of DevOps and enables continuous integration, testing and deployment.
Prometheus was recently accepted into the Cloud Native Computing Foundation, making it the second project after Kubernetes to be given their blessing and acknowledging that Prometheus and Kubernetes make an awesome combination. In this talk we'll cover common patterns for running Prometheus on Kubernetes, how to monitor services on Kubernetes, and some cool tips and hacks to ensure you get the most out of your Prometheus + Kubernetes deployment.
Site Reliability Engineering (SRE) - Tech Talk by Keet SugathadasaKeet Sugathadasa
When it comes to Site Reliability Engineering, short for SRE, the resources available online are only limited to the books published by Google themselves. They do share some useful case studies that will help us understand what SRE is, and how to understand the concepts given in it, but they do not clearly explain how to build your own SRE team for your organization. The concept of SRE was cooked fresh within the walls of Google and later released to the general public as a practice for anyone to follow.
In this presentation I would like to give a brief introduction to SRE and why it is important to any Software Engineering organization. This is based on my experiences and learnings from leading a Site Reliability Engineering team for leading organizations in the US and Norway.
This presentation was conducted by me as a Tech Talk as an Associate Technical Lead at Creative Software Sri Lanka.
This technical presentation by EDB Dave Thomas, Systems Engineer provides an overview of:
1) BGWriter/Writer Process
2) Wall Writer Process
3) Stats Collector Process
4) Autovacuum Launch Process
5) Syslogger Process/Logger process
6) Archiver Process
7) WAL Send/Receive Processes
MongoDB 3.2 introduces a host of new features and benefits, including encryption at rest, document validation, MongoDB Compass, numerous improvements to queries and the aggregation framework, and more. To take advantage of these features, your team needs an upgrade plan.
In this session, we’ll walk you through how to build an upgrade plan. We’ll show you how to validate your existing deployment, build a test environment with a representative workload, and detail how to carry out the upgrade. By the end, you should be prepared to start developing an upgrade plan for your deployment.
MongoDB Days Silicon Valley: Best Practices for Upgrading to MongoDBMongoDB
This document provides an overview of new features and best practices for upgrading to MongoDB version 3.2. It discusses major upgrades such as encrypted storage, document validation, and config server replica sets. It also emphasizes testing upgrades in a staging environment before production, checking for backward incompatible changes, and following the documented upgrade order and steps. Ops Manager and MMS can automate upgrades for easier management. Consulting services are also available to assist with planning and executing upgrades.
This document discusses performance engineering for batch and web applications. It begins by outlining why performance testing is important. Key factors that influence performance testing include response time, throughput, tuning, and benchmarking. Throughput represents the number of transactions processed in a given time period and should increase linearly with load. Response time is the duration between a request and first response. Tuning improves performance by configuring parameters without changing code. The performance testing process involves test planning, creating test scripts, executing tests, monitoring tests, and analyzing results. Methods for analyzing heap dumps and thread dumps to identify bottlenecks are also provided. The document concludes with tips for optimizing PostgreSQL performance by adjusting the shared_buffers configuration parameter.
The document provides recommendations for monitoring tools, best practices, and support procedures for Oracle EBS production support. It recommends implementing Oracle monitoring tools, maintaining checklists and documentation, following password and change management policies, and validating backups. It also provides best practices for concurrent managers, such as defining work shifts, caching requests, and purging obsolete workflow data. Log and output files should be archived according to retention policies.
Introduction to Prometheus Monitoring (Singapore Meetup) Arseny Chernov
Presented at inaugural Singapore Prometheus Meetup, videos on https://www.meetup.com/Singapore-Prometheus-Meetup/events/240844291/
Links to original slides from various blogposts provided.
Quick overview on Visual Studio 2012 Profiler & Profiling tools : the importance of the profiling methods (sampling, instrumentation, memory, concurrency, … ), how to run a profiling session, how to profile unit test/load test, how to use API and a few samples
This document discusses best practices for preparing for and responding to a disaster involving critical IT systems like servers and databases. It emphasizes the importance of regular backups, having recovery procedures documented, testing restores, and defining roles and responsibilities of team members. It provides guidance on backup strategies for SQL Server and SharePoint, including using different types of backups, storing backups offline, and setting backup schedules. It also stresses the value of preparation, being ready to restore from backups, and having contact information and credentials documented in advance in case of an emergency.
Grails has great performance characteristics but as with all full stack frameworks, attention must be paid to optimize performance. In this talk Lari will discuss common missteps that can easily be avoided and share tips and tricks which help profile and tune Grails applications.
The document discusses best practices for preventing and recovering from disasters affecting IT systems. It emphasizes the importance of being prepared through regular backups, testing restores, clear documentation of backup and restore procedures, and defined roles and responsibilities. Key recommendations include performing backups to separate storage regularly; testing restores from backups; having a disaster recovery plan, procedures, and environment ready; and ensuring appropriate staff are assigned roles to respond to an outage. The overall message is that the best way to survive a disaster is through preparation, including backups, documentation, training and assigning roles.
The document discusses best practices for preparing for and surviving a disaster involving IT systems. It emphasizes the importance of being prepared through thorough backup and recovery procedures. Key aspects of preparation include having documented procedures for backup and restore of SQL and SharePoint environments, understanding roles and responsibilities, maintaining service level agreements, keeping an encrypted envelope of credentials, and ensuring necessary hardware, software, and support contracts are accounted for. The overall message is that with proper planning through documented policies and procedures, the impact of a disaster can be minimized.
FAULT TOLERANCE OF RESOURCES IN COMPUTATIONAL GRIDSMaurvi04
This document discusses fault tolerance techniques for computational grids. It begins with an introduction to grid computing and defines some key terms related to faults and failures. It then discusses different types of faults that can occur in grids, including physical faults, network faults, and process faults. It outlines several fault tolerance techniques used in grids, including job and data replication, checkpointing, scheduling approaches, and load balancing strategies. The document concludes with suggestions for future work, such as optimizing checkpoint storage and granularity.
This document provides best practices for optimizing Blackboard Learn performance. It recommends deploying for performance from the start, optimizing platform components continuously through measurements, using scalable deployments like 64-bit architectures and virtualization, improving page responsiveness through techniques like gzip compression and image optimization, optimizing the web server, Java Virtual Machine, and database through configuration and tools. It emphasizes the importance of understanding resource utilization, wait events, execution plans, and statistics/histograms for database optimization.
IRJET- Real Time Monitoring of Servers with Prometheus and Grafana for High A...IRJET Journal
This document discusses monitoring servers in real-time using Prometheus and Grafana for high availability. It begins with an abstract discussing the importance of high availability by ensuring content is always accessible through monitoring, redundancy, and failover. The document then discusses using Prometheus for storage and Grafana for visualization of time series monitoring data. It describes issues with prior monitoring using Cloudwatch and defines the problem statement. The system architecture is explained showing how Prometheus scrapes metrics from targets and stores them, while Grafana is used for visualization. Finally, the implementation steps are outlined including creating service users, downloading and configuring Prometheus, and running it.
This document discusses Python web application development. It summarizes popular packages for web development with Flask including SQLAlchemy, Celery, and TensorFlow Model Server. It provides best practices for Flask, Celery, and Docker deployment. It also discusses profiling Python applications and handling signals in Docker containers.
Watch full webinar here: https://buff.ly/2MwDyhq
The use of Data Virtualization as a global delivery layer means that Denodo is a critical component of the data architecture. It cannot fail, needs to be fault tolerant and perform as designed. In this context, enterprise level-monitoring is key to make sure the virtual layer is in good health and proactively detect potential issues. Fortunately, Denodo provides a full suite of monitoring capabilities and integrates with leading monitoring tools like Splunk, Elastic and CloudWatch.
Attend this session to learn:
- How to configure the key global parameters of the Denodo server
- How to integrate Denodo with enterprise monitoring solutions like Splunk and Cloudwatch
- Key metrics to monitor
High availability and disaster recovery in IBM PureApplication SystemScott Moonen
This document discusses high availability and disaster recovery strategies for IBM PureApplication System. It begins with definitions of key terms like HA, DR, RTO, and RPO. It then outlines the various tools in PureApplication System that can be used to achieve HA and DR, such as compute node availability, block storage, storage replication, and external storage. The document provides examples of how to compose these tools to meet different HA and DR scenarios, like handling compute node failures, database updates, and site failures. It concludes with some caveats around networking considerations and middleware-specific factors.
The document discusses characteristics of good and powerful test automation frameworks. A good framework provides reliability, modularity, error handling, reusability, and reporting. A powerful framework reduces support activities time through features like one touch deployment, zero touch code updates, centralized logging, smart debugging, and hassle-free remote code management. It also improves efficiency through multi-threading, hot pluggable third party scripts, and a results database. The document advocates moving to powerful frameworks rather than just maintaining good frameworks for reduced boredom and sustained innovation.
SRE Demystified - 16 - NALSD - Non-Abstract Large System DesignDr Ganesh Iyer
This document discusses Non-abstract Large System Design (NALSD), an iterative process for designing distributed systems. NALSD involves designing systems with realistic constraints in mind from the start, and assessing how designs would work at scale. It describes taking a basic design and refining it through iterations, considering whether the design is feasible, resilient, and can meet goals with available resources. Each iteration informs the next. NALSD is a skill for evaluating how well systems can fulfill requirements when deployed in real environments.
According to Google, SRE is what you get when you treat operations as if it’s a software problem. In this video, I briefly explain key SRE processes. Video: https://youtu.be/BdFmRJAnB6A
This document discusses various types of documents used by SRE teams at Google for different purposes:
1. Quarterly service review documents and presentations that provide an overview of a service's performance, sustainability, risks, and health to SRE leadership and product teams.
2. Production best practices review documents that detail an SRE team's website, on-call health, projects vs interrupts, SLOs, and capacity planning to help the team adopt best practices.
3. Documents for running SRE teams like Google's SRE workbook that provide guidance on engagement models.
4. Onboarding documents like training materials, checklists, and role-playing drills to help new SREs.
SRE Demystified - 12 - Docs that matter -1 Dr Ganesh Iyer
According to Google, SRE is what you get when you treat operations as if it’s a software problem. In this video, I briefly explain important documents required for onboarding new services, running services and production products.
Youtube video here: https://youtu.be/Uq5jvBdox48
According to Google, SRE is what you get when you treat operations as if it’s a software problem. In this video, I briefly explain continuous release engineering and configuration management.
Youtube channel here: https://youtu.be/EgpCw15fIK8
According to Google, SRE is what you get when you treat operations as if it’s a software problem. In this video, I briefly explain what is release engineering and important release engineering philosophies.
Youtube channel here: https://youtu.be/EgpCw15fIK8
SRE aims to balance system stability and agility by pursuing simplicity. The key aspects of simplicity according to SRE are minimizing accidental complexity, reducing software bloat through unnecessary lines of code, designing minimal yet effective APIs, creating modular systems, and implementing single changes in releases to easily measure their impact. The ultimate goal is reliable systems that allow for developer agility.
According to Google, SRE is what you get when you treat operations as if it’s a software problem. In this video, I briefly explain distributed monitoring concepts.
Youtube channel here: https://youtu.be/EgpCw15fIK8
According to Google, SRE is what you get when you treat operations as if it’s a software problem. In this video, I briefly explain how SREs engage with other teams especially service owners / developers.
Youtube channel here: https://youtu.be/EgpCw15fIK8
According to Google, SRE is what you get when you treat operations as if it’s a software problem. In this video, I briefly explain different SLIs typically associated with a system. I will explain Availability, latency and quality SLIs in brief.
Youtube channel here: https://youtu.be/EgpCw15fIK8
Machine Learning for Statisticians - IntroductionDr Ganesh Iyer
Introduction to Machine Learning for Statisticians. From the webinar given for Sacred Hearts College, Tevara, Ernakulam, India on 8/8/2020. It briefly introduces ML concepts and what does it mean for statisticians.
Making Decisions - A Game Theoretic approachDr Ganesh Iyer
Webinar recording of the webinar conducted on 18-07-2020 for Rajagiri School of Engineering and Technology.
Speaker - Dr Ganesh Neelakanta Iyer
Topics:
Overview of Game Theory, Non cooperative games, cooperative games and mechanism design principles.
Game Theory and its engineering applications delivered at ViTECoN 2019 at VIT, Vellore. It gives introduction to types of games, sample from different engineering domains
Machine learning and its applications was a gentle introduction to machine learning presented by Dr. Ganesh Neelakanta Iyer. The presentation covered an introduction to machine learning, different types of machine learning problems including classification, regression, and clustering. It also provided examples of applications of machine learning at companies like Facebook, Google, and McDonald's. The presentation concluded with discussing the general machine learning framework and steps involved in working with machine learning problems.
Characteristics of successful entrepreneurs, How to start a business, Habits of successful entrepreneurs, Some highly successful entrepreneurs - Walt Disney, Small kids who are very successful
Introduction to dockers and kubernetes. Learn how this helps you to build scalable and portable applications with cloud. It introduces the basic concepts of dockers, its differences with virtualization, then explain the need for orchestration and do some hands-on experiments with dockers
Containerization Principles Overview for app development and deploymentDr Ganesh Iyer
This is the slide deck from recent Workshop conducted as part of IEEE INDICON 2018 on Containerization principles for next-generation application development and deployment.
A comprehensive overview of various Game Theory principles and examples from Engineering and other fields to know how we can use it to solve various research problems.
Demystifying Containerization Principles for Data ScientistsDr Ganesh Iyer
Demystifying Containerization Principles for Data Scientists - An introductory tutorial on how Dockers can be used as a development environment for data science projects
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
3. Monitoring
• Monitoring a very large system is challenging for a couple of
reasons:
• The sheer number of components being analyzed
• The need to maintain a reasonably low maintenance burden on the
engineers responsible for the system
• A large system should be designed to aggregate signals and
prune outliers
• We need monitoring systems that allow us to alert for high-
level service objectives, but retain the granularity to inspect
individual components as needed
3
https://landing.google.com/sre/sre-book/chapters/practical-alerting/
4. Borgmon monitoring at Google
• White-box monitoring
• Instead of executing custom scripts to detect system failures,
Borgmon relies on a common data exposition format
• This enables mass data collection with low overheads and avoids
the costs of subprocess execution and network connection setup
• The data is used both for rendering charts and creating
alerts, which are accomplished using simple arithmetic
• To facilitate mass collection, the metrics format had to be
standardized
4
https://landing.google.com/sre/sre-book/chapters/practical-alerting/
5. Instrumentation of applications
• Adding mapped variables for example
• An example map-valued variable
• Showing 25 HTTP 200 responses and 12 HTTP 500s:
• http_responses map:code 200:25 404:0 500:12
5
https://landing.google.com/sre/sre-book/chapters/practical-alerting/
6. Storage in the Time-Series Arena
• A service is typically made up of many binaries running as
many tasks, on many machines, in many clusters
• Borgmon needs to keep all that data organized, while allowing
flexible querying and slicing of that data
• Borgmon stores all the data in an in-memory database,
regularly checkpointed to disk
• The data points have the form (timestamp, value), and are
stored in chronological lists called time-series, and each time-
series is named by a unique set of labels, of the
form name=value.
6
https://landing.google.com/sre/sre-book/chapters/practical-alerting/
7. Storage in the Time-Series Arena
7
A time-series for errors labeled by the original host each was collected from
https://landing.google.com/sre/sre-book/chapters/practical-alerting/
8. Labels and Vectors
• Time-series are stored as sequences of numbers and
timestamps, which are referred to as vectors
• Like vectors in linear algebra, these vectors are slices and cross-sections of
the multidimensional matrix of data points in the arena
• The name of a time-series is a labelset, because it’s implemented
as a set of labels expressed as key=value pairs. One of these
labels is the variable name itself, the key that appears on the varz
page
8https://landing.google.com/sre/sre-book/chapters/practical-alerting/
9. Labels and Vectors
• Example variable expression
{var=http_requests,job=webserver,instance=host0:80,service=web,zone=us-west}
9
Label Value
var The name of the variable
job The name given to the type of server being monitored
service A loosely defined collection of jobs that provide a service to users,
either internal or external
zone Location of the Borgmon that performed the collection of this
variable
https://landing.google.com/sre/sre-book/chapters/practical-alerting/
10. Rule Evaluation
• The Borgmon program code, also known as Borgmon
rules, consists of simple algebraic expressions that
compute time-series from other time-series
• Rules run in a parallel threadpool where possible, but are
dependent on ordering when using previously defined
rules as input
• Aggregation is the cornerstone of rule evaluation in a
distributed environment
10
https://landing.google.com/sre/sre-book/chapters/practical-alerting/
12. Example Alert Rule
• Creates an alert when the error ratio over 10 minutes exceeds
1% and the total number of errors exceeds 1 per second
12
https://landing.google.com/sre/sre-book/chapters/practical-alerting/
13. Maintaining the configuration
• Borgmon configuration separates the definition of the rules
from the targets being monitored
• Borgmon also supports language templates
• The first class simply codifies the emergent schema of
variables exported from a given library of code
• Such templates exist for the HTTP server library, memory
allocation, the storage client library
• The second class templates are to manage the aggregation
of data from a single-server task to the global service footprint
13
https://landing.google.com/sre/sre-book/chapters/practical-alerting/