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AWS Lambda Turns 10
AWS Lambda Turns 10
Disclaimer: The details in this post have been derived from multiple AWS reInvent talks and articles by the Amazon engineering team.͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ Forwarded this email? Subscribe here for more😘Kiss Manual Testing Goodbye—Ship 5x Faster (Sponsored)
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Disclaimer: The details in this post have been derived from multiple AWS reInvent talks and articles by the Amazon engineering team. All credit for information about AWS Lambda’s internals goes to the presenters and authors. The link to these videos and articles is present in the references section at the end of the post. We’ve attempted to analyze the details and provide our input about them. If you find any inaccuracies or omissions, please leave a comment, and we will do our best to fix them.
AWS Lambda turned 10 recently.
Like with most innovations at Amazon, Lambda’s origin was rooted in the team’s observation of how customers used existing services.
The AWS engineering team noticed that many customers were maintaining entire fleets of EC2 instances to handle sporadic tasks such as writing data to a database, processing files, or performing other minor functions. These instances often sat idle but consumed resources both in terms of customer costs and AWS infrastructure.
This inefficiency signaled a gap in the AWS offerings. There was no service designed to handle short-lived, lightweight computational tasks without the need for constant resource provisioning.
AWS aimed to address this problem by creating a service that could:
Automatically and dynamically allocate compute resources as needed.
Allow developers to execute specific pieces of application logic (functions) without worrying about server provisioning, scaling, or maintenance.
Abstract away the "undifferentiated heavy lifting" of managing infrastructure, enabling developers to focus entirely on their core application logic.
The goal was to make it possible for developers to "just run some code" efficiently, securely, and cost-effectively, without the complexity of managing an EC2 fleet. This led to the birth of AWS Lambda at the end of 2014.
In this article, we’ll explore how the AWS engineering team approached the creation of AWS Lambda and the innovations they have made over the years to address customer needs.
The Concept of AWS Lambda
At Amazon, crafting internal documents, such as PR/FAQs (Press Release/Frequently Asked Questions), is a foundational practice for developing new ideas and products.
The process of creating these documents is designed to clearly articulate the product vision before working on it. Writing requires the authors to be explicit about the goals, capabilities, and limitations of the proposed product. These documents help anticipate customer and stakeholder concerns. Also, the FAQ section forces the teams to think through potential questions and challenges.
The initial draft is rarely perfect and goes through feedback and revision cycles. This ensures that ideas are refined and weaknesses are addressed.
The PR/FAQ for Lambda identified key customer problems, such as the need for cost-effective, scalable, and secure execution of short-lived tasks. It envisioned a serverless model that freed developers from managing servers, anticipated features like fine-grained billing and multi-language support, and laid the foundation for innovations like Firecracker and Lambda Layers.
Core Features at Launch
AWS Lambda introduced groundbreaking capabilities that transformed how developers approach application development and infrastructure management. Some key features were as follows:
Serverless Computing
Lambda pioneered the serverless paradigm, allowing developers to run code without provisioning, managing, or scaling servers.
Here’s how it works in practice:
Developers provide their code and specify a handler function, which defines the entry point for Lambda to execute.
The platform automatically scales the number of instances based on incoming requests, handling spikes and periods of inactivity.
Stateless execution ensures that each invocation of a Lambda function is independent, meaning no data is carried over between executions unless explicitly managed using services like Amazon S3 or DynamoDB.
This approach eliminates the need for server capacity planning and lets the developers concentrate on their application rather than operational overhead.
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Supported Languages and Deployment Options
Initially, Lambda only supported Node.js, a popular JavaScript runtime. Node.js was chosen for its lightweight nature and existing usage among AWS developers. To make it work, Lambda functions must adhere to specific runtime conventions (for example, the exports.handler function in Node.js).
Over time, support was expanded to languages like Python, Java, Ruby, Go, .NET, and custom runtimes.
Lambda supported deployment via ZIP files, allowing developers to bundle their code and dependencies for easy upload. Integration with Git repositories simplified workflows for developers who could link their source code repositories to deploy directly.
Cost Efficiency
Lambda introduced fine-grained billing, where customers paid only for the compute time consumed by their functions. It was a major shift from traditional EC2-based hosting models.
The time was rounded to the nearest 250ms at launch. However, it was later reduced to 1ms billing for even greater cost efficiency.
Also, AWS offered a generous free tier, which included a set number of invocations and execution times per month, encouraging developers to experiment with Lambda at no cost. Developers could choose memory allocation between 128 MB and 10 GB (as of 2023 updates), and Lambda would automatically allocate proportional CPU power.
Key Innovations Over the Decade
AWS Lambda has significantly evolved since its launch, incorporating new features and capabilities that have expanded its use cases and improved performance.
Support for Additional Runtimes
As mentioned earlier, Lambda supported only Node.js at launch. Over the years, AWS added support for popular languages to cater to a broader developer base. Here’s when different languages were added:
Java (2015)
Python (2015)
.NET Core (2016)
Go (2018)
Ruby (2018)
In 2018, they also introduced custom runtimes.
Introduced with the Runtime API, this feature allowed developers to implement Lambda functions in virtually any language by packaging their runtime binaries.
See the diagram below:
Containerization Support
In 2020, Lambda began supporting container images, enabling developers to package their functions as Docker containers.
This was particularly useful for large dependencies exceeding the 250 MB limit of traditional ZIP-based deployments. By allowing containers up to 10 GB in size, Lambda could support complex workloads like machine learning inference and data-heavy applications.
A couple of technical benefits were as follows:
Reuse of existing CI/CD pipelines for building containerized applications.
Easier dependency management by letting developers include all necessary libraries in the container image.
Reducing Cold Start Latency
Cold starts occur when Lambda initializes a runtime environment for a function that hasn’t been invoked recently. This adds latency, especially for languages like Java that require significant initialization.
The AWS engineering team made a couple of enhancements to address this:
1 - Firecracker MicroVMs
Initially, AWS Lambda used EC2 instances to run functions, dedicating a T2 instance to each tenant. This was secure but inefficient, leading to high overhead due to the need to provision entire EC2 instances for each function.
In 2018, AWS introduced Firecracker.
Firecracker is a lightweight virtual machine manager (VMM) designed to run serverless workloads such as AWS Lambda and AWS Fargate. It creates and manages microVMs using Linux’s Kernel-based Virtual Machine.
MicroVMs are isolated, secure environments that are much faster to start than traditional virtual machines. They are designed to boot in milliseconds, significantly reducing the cold start latency for Lambda functions.
2 - SnapStart
When a Lambda function is invoked and there isn’t an already running execution environment, Lambda has to create a new one. This involves several steps:
Provisioning: Set up a new virtual machine
Downloading: Retrieve the function code from storage
Initializing: Start the runtime and initialize the function code.
These steps can take time, especially for complex functions or runtimes like Java, which have longer startup times.
SnapStart is a feature designed to reduce cold start latency by pre-initializing the execution environment and then using snapshots. It pre-warms function environments and captures a snapshot of the initialized runtime.
Lambda reuses this snapshot during subsequent invocations, bypassing the initialization process and significantly reducing startup time (up to 90%).
See the diagram below that shows how SnapStart works.
Lambda Layers
Introduced in 2018, Layers allow developers to share common dependencies (for example, libraries, binaries, and configuration files) across multiple functions.
Here’s how it works:
Developers create a Layer with the required dependencies and attach it to their Lambda functions.
Functions automatically load the Layer contents during execution, without requiring developers to repackage dependencies each time.
See the diagram below that shows the concept AWS Lambda Layers:
Lambda Layers help reduce deployment package size by separating common code from individual function code. This simplifies version management for shared dependencies.
Some common use cases for Lambda Layers are as follows:
Packaging libraries like TensorFlow for machine learning applications.
Sharing utility functions across a team or organization.
Using vendor-provided Layers for third-party integrations (for example, monitoring tools).
Ecosystem Improvement
Over the years, the AWS engineering team has integrated Lambda with services like API Gateway, EventBridge, S3, DynamoDB, and SQS to build complex, event-driven architectures.
AWS improved provisioned concurrency, allowing developers to pre-warm environments for latency-sensitive applications. The AWS Serverless Application Model (SAM) and AWS CDK also simplified the development and deployment of serverless applications.
Operational Excellence in AWS Lambda
AWS Lambda was designed to simplify cloud application development while prioritizing key operational goals: security, scalability, and cost-effectiveness.
Here’s how these goals help different stakeholders.
For Developers: Lambda eliminates the complexity of infrastructure management, enabling developers to focus purely on application logic. Local testing tools reduce iteration time and increase confidence in deployments.
For Businesses: The “scale-to-zero” model and usage-based billing make Lambda cost-effective for small-scale projects while being robust enough for enterprise applications.
For AWS: By automating critical aspects like scaling, patching, and resource management, AWS Lambda showcases the potential of serverless computing to simplify cloud operations and increase developer productivity.
Conclusion
Lambda introduced the world to serverless computing where developers focus entirely on code and application logic, leaving infrastructure management to the cloud provider.
Organizations across industries, from startups to large enterprises, leverage Lambda to build scalable, cost-effective, and event-driven applications.
Over its first decade, Lambda has evolved through a relentless focus on customer needs. Customers often use services like Lambda in ways the creators didn’t anticipate, driving the need for continuous innovation and feature expansion. Therefore, customer feedback has been instrumental in shaping Lambda’s capabilities.
Looking ahead, AWS aims to further optimize cold starts and runtime performance, particularly for latency-sensitive applications. Greater integration with AWS and non-AWS services is expected, enabling Lambda to support a wider range of architectures and technologies.
References:
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The newest FHL has been revealed… Did you see her FREE bonus?!
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by "Russell Brunson" <noreply@clickfunnelsnotifications.com> - 11:06 - 27 Jan 2025 -
Find your best fit: A leader’s guide to separating businesses
Leading Off
Cut it loose Brought to you by Alex Panas, global leader of industries, & Axel Karlsson, global leader of functional practices and growth platforms
Welcome to the latest edition of Leading Off. We hope you find our insights useful. Let us know what you think at Alex_Panas@McKinsey.com and Axel_Karlsson@McKinsey.com.
—Alex and Axel
Leaders often find that separations are more difficult than they may appear. That’s why experience is key, according to a survey of business leaders involved in separations. In their research, McKinsey’s Andy West, Anna Mattsson, and Jamie Koenig found that organizations that routinely refresh their business portfolios report better outcomes from separations than companies that pursue only a single separation. Speed is also essential: The companies that complete separations quickly tend to deliver better shareholder returns. Even when they’re working quickly to close a deal, leaders should be prepared to manage thorny issues that commonly arise between the existing company and the separated entity, such as transitional service agreements, talent allocation, and technology architecture. “Navigating the often-opposing interests of both sides is crucial for a smooth transition,” the authors say. “It may even be said that separations are like amicable divorces—at least until sticking points materialize.”
That’s the percentage of business leaders who reported that their companies’ managers or boards have delayed a divestiture decision. Senior partner Andy West and his coauthors note that an ill-fitting or noncore business is unlikely to be worth more as time passes, so it’s critical to act quickly. “Managers consistently wait too long to sell assets, even as these businesses lose more value,” the authors say. “By contrast, leaders who free up capital today have more options to invest in growth priorities for the businesses where they do have the capabilities to win.”
That’s McKinsey’s Anthony Luu and Dana Maor and their coauthors on the importance of focusing on people in separations. According to the authors, leaders should prioritize talent allocation decisions as they develop an operating model for a newly separated business. At the same time, it’s crucial to communicate consistently about how the separation will enhance employees’ work and purpose, which can help relieve any confusion or fears. “Companies should deliver a ‘true north’ vision that will inspire employees to get behind the change and feel connected to the work required to meet the new objectives,” the authors say.
In M&A deals, it’s vital for the acquiring company to prioritize people issues when it brings a new business into the fold. Lisa Blair Davis, the global head of HR for Johnson & Johnson (J&J) MedTech, stresses that HR leadership needs to be involved in the entire M&A process instead of just stepping in after a deal is done. “At the 11th hour—when it comes down to closing and signing the deal—it’s always about people,” she says in an interview with McKinsey’s Andy West. During an acquisition process, Davis and her colleagues meet with the target company’s CEO to identify key talent and learn what motivates them. “We’re paying premiums because they have built things that we want to take to an even bigger scale. We need to identify those individuals who can help lead that because we don’t believe we have all the answers,” Davis says.
Let’s face it, most breakups are challenging. That can mean good business for heartbreak healers: the breakup coaches, organizers of well-being workshops, and developers of apps designed to soothe the pain of lost love. In the corporate world, breakups are a common consequence of companies’ long-running efforts to diversify in search of growth. Leaders often look to acquire or start businesses outside their core operations to create value, only to learn that bigger isn’t always better. McKinsey’s Tim Koller and coauthors say that this has fueled an increase in corporate spin-offs in recent years. “Some operational and other synergies may materialize—but eventually executives and boards realize how difficult it is to add value to businesses that have little or no direct connection to the company’s core business,” they observe.
Lead by separating strategically.
— Edited by Eric Quiñones, senior editor, New York
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by "McKinsey Leading Off" <publishing@email.mckinsey.com> - 04:19 - 27 Jan 2025 -
How does a focus on teams help companies transform?
On McKinsey Perspectives
4 steps to empower teams Brought to you by Alex Panas, global leader of industries, & Axel Karlsson, global leader of functional practices and growth platforms
Welcome to the latest edition of Only McKinsey Perspectives. We hope you find our insights useful. Let us know what you think at Alex_Panas@McKinsey.com and Axel_Karlsson@McKinsey.com.
—Alex and Axel
•
Creating change with teams. Today’s volatile business environment demands that organizations adapt quickly and innovate continuously. While companies seeking to improve performance may have tried transforming themselves from the top down or the bottom up—relying either on senior leaders or programs to change employee mindsets—there is another way. As McKinsey senior partner Arne Gast and coauthors explain, a team-centric approach to transformation can usher in lasting, substantial gains.
•
Spotting high performers. Leaders know that large and complex organizational systems can’t change overnight. To transform companies at the team level, leaders can begin by identifying which teams can create the most business value based on the transformation’s agenda. For instance, a leading Asian bank shifted to a more agility- and innovation-oriented culture by starting to make changes within its 50 most critical teams. It saw notable improvements in employee engagement scores, among other early indicators of success. Consider four practical steps to build teams that can transform effectively.
—Edited by Belinda Yu, editor, Atlanta
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by "Only McKinsey Perspectives" <publishing@email.mckinsey.com> - 01:40 - 27 Jan 2025 -
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by "Russell Brunson" <newsletter@marketingsecrets.com> - 03:45 - 26 Jan 2025 -
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by "Kaia" <gt62@gtran.net> - 03:22 - 26 Jan 2025 -
The week in charts
The Week in Charts
Gen Z consumers, employee innovation, and more Share these insights
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by "McKinsey Week in Charts" <publishing@email.mckinsey.com> - 03:38 - 25 Jan 2025 -
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by "Saraii Ad" <adsaraii519@gmail.com> - 03:16 - 25 Jan 2025 -
EP147: The Ultimate API Learning Roadmap
EP147: The Ultimate API Learning Roadmap
APIs are the backbone of communication over the Internet.͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ Forwarded this email? Subscribe here for more😘Kiss Manual Testing Goodbye—Ship 5x Faster (Sponsored)
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This week’s system design refresher:
What is a LOAD BALANCER really about? (Youtube video)
The Ultimate API Learning Roadmap
30 Useful AI Apps That Can Help You in 2025
10 Essential Components of a Production Web Application
How do we design effective and safe APIs?
Code First v.s. API First
Oauth 2.0 Explained With Simple Terms
Session, Cookie, JWT, Token, SSO, and OAuth 2.0 Explained in One Diagram
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What is a LOAD BALANCER really about?
The Ultimate API Learning Roadmap
APIs are the backbone of communication over the Internet. Every developer needs to learn about APIs. Here’s a roadmap that covers the most important topics:
Introduction to APIs
API is a set of protocols and tools for building applications. Different types of APIs exist, such as public, private, and partner.API Terminologies
Various API terminologies, such as HTTP versions, cookies, and caching, need to be understood.API Styles
The most common API styles are REST, SOAP, GraphQL, gRPC, and WebSocketsAPI Authentication
API Authentication techniques like Basic Auth, Token, JWTs, OAuth, and Session AuthAPI Documentation
A good API is understandable. API Documentation tools like Swagger, Postman, Redoc, and DapperDox make it possible.API Features
Key API features include pagination, parameters, idempotency, API versioning, HATEOAS, and content negotiationAPI Performance Techniques
Common API performance techniques are caching, rate limiting, load balancing, pagination, DB indexing, scaling, and performance testing.API Gateways
Learn about API Gateways such as Amazon API Gateway, Azure API Services, Kong, Nginx, etc.API Implementation Frameworks
The most popular API development frameworks are Node.js, Spring, Flask, Django, and FastAPIAPI Integration Patterns
Learn about various API integration patterns such as gateways, event-driven, webhook, polling, and batch processing.
Over to you: What else will you add to the API learning roadmap?
Download the high resolution PDF here.
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Assess your current state
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30 Useful AI Apps That Can Help You in 2025
AI apps are taking over the world. There’s an AI app for every conceivable use case. Here are some AI apps for different categories:
General Purpose: Perplexity, Anthropic Claude, Grok, ChatGPT, and Gemini
Writing Code: Cursor, Replit, Windsurf AI, Github Copilot, and Tabnine
Productivity: Adobe (PDF Chat), Gemini for Gmail, Gamma (AI slide deck), WisprFlow (AI voice dictation), and Granola (AI notetaker)
Audience Building: Delphi (AI text, voice), HeyGen (video translation), Persona (AI agent builder), Captions (AI video editing), and OpusClips (Video repurposing)
Creativity: ElevenLabs (realistic AI voices), Midjourney, Suno AI (music generation), Krea (enhance images), and Photoroom (AI image editing)
Learning and Growth: Particle News App, Rosebud (AI journal app), NotebookLM, GoodInside (parenting co-pilot), and Ash (AI counselor).
Over to you: Which other AI app will you add to the list?
10 Essential Components of a Production Web Application
It all starts with CI/CD pipelines that deploy code to the server instances. Tools like Jenkins and GitHub help over here.
The user requests originate from the web browser. After DNS resolution, the requests reach the app servers.
Load balancers and reverse proxies (such as Nginx & HAProxy) distribute user requests evenly across the web application servers.
The requests can also be served by a Content Delivery Network (CDN).
The web app communicates with backend services via APIs.
The backend services interact with database servers or distributed caches to provide the data.
Resource-intensive and long-running tasks are sent to job workers using a job queue.
The full-text search service supports the search functionality. Tools like Elasticsearch and Apache Solr can help here.
Monitoring tools (such as Sentry, Grafana, and Prometheus) store logs and help analyze data to ensure everything works fine.
In case of issues, alerting services notify developers through platforms like Slack for quick resolution.
Over to you: What other components would you add to the architecture of a production web app?
How do we design effective and safe APIs?
The diagram below shows typical API designs with a shopping cart example.
Note that API design is not just URL path design. Most of the time, we need to choose the proper resource names, identifiers, and path patterns. It is equally important to design proper HTTP header fields or to design effective rate-limiting rules within the API gateway.
Over to you: What are the most interesting APIs you’ve designed?Code First v.s. API First
The diagram below shows the differences between code-first development and API-first development. Why do we want to consider API first design?
Microservices increase system complexity.
We have separate services to serve different functions of the system. While this kind of architecture facilitates decoupling and segregation of duty, we need to handle the various communications among services.Separate functional teams need to speak the same language.
The dedicated functional teams are only responsible for their own components and services. It is recommended that the organization speak the same language via API design.Improve software quality and developer productivity
Since we have ironed out most of the uncertainties when the project starts, the overall development process is smoother, and the software quality is greatly improved.
Oauth 2.0 Explained With Simple Terms
OAuth 2.0 is a powerful and secure framework that allows different applications to securely interact with each other on behalf of users without sharing sensitive credentials.
The entities involved in OAuth are the User, the Server, and the Identity Provider (IDP).
What Can an OAuth Token Do?
When you use OAuth, you get an OAuth token that represents your identity and permissions. This token can do a few important things:
Single Sign-On (SSO): With an OAuth token, you can log into multiple services or apps using just one login, making life easier and safer.
Authorization Across Systems: The OAuth token allows you to share your authorization or access rights across various systems, so you don't have to log in separately everywhere.
Accessing User Profile: Apps with an OAuth token can access certain parts of your user profile that you allow, but they won't see everything.
Remember, OAuth 2.0 is all about keeping you and your data safe while making your online experiences seamless and hassle-free across different applications and services.
Over to you: Imagine you have a magical power to grant one wish to OAuth 2.0. What would that be? Maybe your suggestions actually lead to OAuth 3.Session, Cookie, JWT, Token, SSO, and OAuth 2.0 Explained in One Diagram
When you login to a website, your identity needs to be managed. Here is how different solutions work:
Session - The server stores your identity and gives the browser a session ID cookie. This allows the server to track login state. But cookies don't work well across devices.
Token - Your identity is encoded into a token sent to the browser. The browser sends this token on future requests for authentication. No server session storage is required. But tokens need encryption/decryption.
JWT - JSON Web Tokens standardize identity tokens using digital signatures for trust. The signature is contained in the token so no server session is needed.
SSO - Single Sign On uses a central authentication service. This allows a single login to work across multiple sites.
OAuth2 - Allows limited access to your data on one site by another site, without giving away passwords.
QR Code - Encodes a random token into a QR code for mobile login. Scanning the code logs you in without typing a password.
Over to you: QR code logins are gaining popularity. Do you know how it works?
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by "ByteByteGo" <bytebytego@substack.com> - 11:38 - 25 Jan 2025 -
LAST CALL !!! SPARE PARTS MANAGEMENT (20– 21 Jan 2025)
CLICK HERE TO DOWNLOAD THE FULL BROCHURE FILE
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PUBLIC PROGRAM
SPARE PARTS MANAGEMENT
Venue : Dorsett Grand Subang Hotel, Selangor (SBL Khas / HRD Corp Claimable Course)
Date : 20 Jan 2025 (Mon) | 9am – 5pm By Bala
21 Jan 2025 (Tue) | 9am – 5pm . .
SYNOPSIS:
Automation and technical advancement have produced best technological machines where human dependence and interference have been greatly reduced. This advancements have also reduced the maintainability of components to ‘discard maintenance’ level only. Most electrical or electronic components cannot be ‘pm’ or repaired as these failure patterns falls under random failure. Most mechanical parts too, are designed for reliability and thus requires replacement at specific time frame.
New maintenance techniques such as predictive maintenance, reliability centred maintenance have enhanced life span detectability. With all these advancements, having the right part at the right time, in the right quantity makes it very critical for achieving PQCDSM. Therefore, purchasing, stoking and controlling spare parts becomes an ultimate necessary for continuous non-stop operation.
Through this program, Participants will acquire:
- Fundamental knowledge regarding spares.
- Why, how and when to stock spares.
- Spare parts stocking terminology.
- Step by step setting an inventory control system.
- Review and take counter measure for frequently used parts.
- Justifying the ROI for spare parts expenditure.
- Sneak preview of computerized maintenance management system.
TARGET PARTICIPANTS:
- Store room controllers
- Spare parts buyers
- Maintenance supervisors
- All maintenance people who are involved in spare management.
OUTLINE OF WORKSHOP
Module 1 : Introduction to Spare Parts Management.
- what is SPM ?
- spare parts are expenses .
- where does the money for spare comes from.
- “spare parts” the silent killer.
- why manage spare parts.
- current manufacturing bottlenecks.
Module 2 : Spare Parts Management Logistics.
- quality Vs co$t
- economic considerations.
- user considerations.
- cost – effect compromise .
- measure of effectiveness.
- spare parts inventory.
Module 3 : Spare Parts Inventory Management.
- current stock.
- maximum stock.
- minimum stock.
- lead time .
- safety stock.
- re order point.
- economical order quantity.
- obsolete rate.
- inventory monitoring
Module 4 : Establishing Spare Parts Criticalities.
- what is spare part criticality .
- how to set component criticality.
- establishing visual set up.
- ‘insurance policy”
- best practices for spare part management.
Module 5 : ‘Spare Part Usage’ Cost Reduction.
- develop spare part usage record.
- usage analysis.
- establish failure consequences.
- improve ‘parts’ life.
- reduce spare parts cost.
Module 6 : Computerised Spare Parts Management.
- what is CMMS.
- advantages of CMMS.
- ‘ATLAS’ demo.
- selection of right CMMS.
** Certificate of attendance will be awarded for those who completed the course
ABOUT THE FACILITATOR
Bala
Mr.Bala is a training consultant with over 18 years of experience in manufacturing and 23 years in training. Mr. Bala began his career in the Equipment Maintenance function in Motorola Malaysia and grew steadily to become an Equipment Engineer. He later took on a position as Section Head for a Production Unit which he ran for several years. He moved on to Thomson Audio Electronics in Muar as a Production Manager in 1991 where he spent 2 years. Subsequently, he assumed a position as Production Manager and then as a Training and Education Manager at Samsung Electron Devices, Seremban till 1995 and then became a full time trainer in july 1995.
Mr. Bala specializes in Equipment Maintenance, Manufacturing and Training. since becoming a manufacturing trainer, he has conducted more than 700 training sessions covering more than 14,000 participants both in-house and public programs in last 23 years. He currently is one of the most prominent maintenance consultant for theoretical and subject matter expertise. He also specializes on TPM and have conducted numerous in-house training for the above topic. He is one of the most prominent trainer and consultant for RCM training and consultation.
His vast experience both hands-on and conceptual training makes him a valuable resource person for maintenance Development in the Manufacturing and service sector. He was also invited to speak in Universities and in Maintenance Seminar’s and also trains hospital maintenance staff.
(SBL Khas / HRD Corp Claimable Course)
TRAINING FEE
2 days Face-to-Face Public Program
RM 2,407.00/pax
(excluded 8% SST)
Group Registration: Register 3 participants from the same organization, the 4th participant is FREE.
(Buy 3 Get 1 Free) if Register before 13 Jan 2025. Please act fast to grab your favourite training program!We hope you find it informative and interesting and we look forward to seeing you soon.
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DIG DEEPER You just read “What is the metaverse? An explanation and in-depth guide”. Here are some articles that we think you’ll find very valuable: If you have questions about “What is the metaverse? An explanation and in-depth guide”, we'd encourage you to post your comment where our editors, experts and your peers can offer quick advice. Thanks again for becoming a member! If you have any issues, feel free to drop us an email at privacy@techtarget.com. The WhatIs.com Team
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