Tools and competences on DevOps for 2020

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The key thing to note is that legacy systems are only legacy because they’ve been successful enough to last this long. Legacy systems can be made more flexible and maintainable by organizing them based on business needs and capabilities, making individual parts loosely coupled and independently deployable. This allows legacy systems to be adapted over time without needing to replace the entire system at once.

Technology

legacy systems
successful
enough to last this long

Dreamer, Technology Enthusiast, Speaker, Trainer, People 1st, Microsoft Azure MVP, Crafter, Endava, Dreamer

Loosely
coupled
Deployable
independently
High
maintainable
and testable
Organized on
top of
business
needs and
capabilities

Event triggered
Ephemeral
No infrastructure to
manage
Pays per
execution

Event triggered
Ephemeral
No infrastructure to
manage
Pays per
execution
Writing a function that incorporates a business logic and deploy it

Execution Time
Technology Stack
Environment Scaling

Microservices
• Short or long
requests
• Few seconds
• Long
execution
time
Serverless
• Short life
• Few seconds
• Under 300s

Microservices
• Short or long
requests
• Few
secconds
• Long
execution
time
Serverless
• Short life
• Few seconds
• Under 300s

Microservices Serverless
Different
stacks
Limited tech
stacks
External
dependencies
Multiple
stacks
Legacy code
Legacy
dependencies

Microservices
• Cluster
• Nodes type
• Container OS
• OS Updates
• Stack patches
Serverless
• No
infrastructure
configuration
• Easy
configuration
• Focus on code
• Write and
deploy

Microservices
• Same
environment
• Isolated from
infrastructure
Serverless
• Environment
agnostic
• No
dependencies

Microservices
• Node spin-up latency
• Warm-up
Serverless
• Scale on the fly
• Fast warm-up
• Dynamic scaling
• No boundaries

Operating
system
Maintenance and
support
(e.g. operation
system updates,
security patches)
Monitoring of
the OS
Deployment
mechanism
App
Deployment
&
Configuration
Infrastructure
management

Need to use external
services to be able
to deliver the same
functionality
Overcome the
limitations of disk
space, RAM and
execution duration
Legacy
dependencies to
different stacks or
systems

Hybrid App
Microservices Serverless
Proxy
Emit Request

Microservices
Personalization
Cart
Payment
Serverless
Authentication
Authorization
Image resize

Microservices
Personalization
Cart
Payment
Serverless
Authentication
Authorization
Image resize
Kubeless

Understand how to connect multiple microservices or
functions to fulfil a business requirement
Each service or collection of functions shall be seen as
individual projects with their own team, pipeline and lifetime
Middleware and internal communication

s|f
divide
partitioning
replicate/local redundancy
sync data
consistency
Cost control
tools
Code sharing
versioning
Process teams
Select interface,
middleware and channel

Thank you!
@RaduVunvulea
vunvulearadu.blogspot.com
https://www.linkedin.com/in/raduvunvulea/
vunvulear@outlook.com

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Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market. Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.

June Patch Tuesday

Ivanti

Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.

Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians

Neo4j

Dandelion Hashtable: beyond billion requests per second on a commodity server

Antonios Katsarakis

This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).

AppSec PNW: Android and iOS Application Security with MobSF

Ajin Abraham

Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application. This talk covers: Using MobSF for static analysis of mobile applications. Interactive dynamic security assessment of Android and iOS applications. Solving Mobile app CTF challenges. Reverse engineering and runtime analysis of Mobile malware. How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.

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Tools and competences on DevOps for 2020

1. The key thing to note is that legacy systems are only legacy because they’ve been successful enough to last this long.

2. legacy systems successful enough to last this long

3. Dreamer, Technology Enthusiast, Speaker, Trainer, People 1st, Microsoft Azure MVP, Crafter, Endava, Dreamer

5. Avoid Prepare ManageSurvive

9. Loosely coupled Deployable independently High maintainable and testable Organized on top of business needs and capabilities

10. Loosely coupled Deployable independently High maintainable and testable Organized on top of business needs and capabilities

11.

12.

13.

14. Event triggered Ephemeral No infrastructure to manage Pays per execution

15. Event triggered Ephemeral No infrastructure to manage Pays per execution Writing a function that incorporates a business logic and deploy it

16.

17. Execution Time Technology Stack Environment Scaling

18. Microservices Serverless

19. Microservices • Short or long requests • Few seconds • Long execution time Serverless • Short life • Few seconds • Under 300s

20. Microservices • Short or long requests • Few secconds • Long execution time Serverless • Short life • Few seconds • Under 300s

21. Microservices • Short or long requests • Few secconds • Long execution time Serverless • Short life • Few seconds • Under 300s

22.

23. Microservices Serverless Different stacks Limited tech stacks External dependencies Multiple stacks Legacy code Legacy dependencies

24. Microservices • Cluster • Nodes type • Container OS • OS Updates • Stack patches Serverless • No infrastructure configuration • Easy configuration • Focus on code • Write and deploy

25. Microservices • Same environment • Isolated from infrastructure Serverless • Environment agnostic • No dependencies

26. Microservices • Node spin-up latency • Warm-up Serverless • Scale on the fly • Fast warm-up • Dynamic scaling • No boundaries

27.

28. Operating system Maintenance and support (e.g. operation system updates, security patches) Monitoring of the OS Deployment mechanism App Deployment & Configuration Infrastructure management

29. Need to use external services to be able to deliver the same functionality Overcome the limitations of disk space, RAM and execution duration Legacy dependencies to different stacks or systems

30. Need to use external services to be able to deliver the same functionality Overcome the limitations of disk space, RAM and execution duration Legacy dependencies to different stacks or systems Operating system Maintenance and support Monitoring of the OS Deployment mechanism App Deployment & Configuration Infrastructure management

31.

32.

33. Hybrid App Microservices Serverless Proxy Emit Request

34. Hybrid App Microservices Serverless Proxy Emit Request

35. Microservices Personalization Cart Payment Serverless Authentication Authorization Image resize

36. Microservices Personalization Cart Payment Serverless Authentication Authorization Image resize Kubeless

37.

38. Understand how to connect multiple microservices or functions to fulfil a business requirement Each service or collection of functions shall be seen as individual projects with their own team, pipeline and lifetime Middleware and internal communication

39. Understand how to connect multiple microservices or functions to fulfil a business requirement Each service or collection of functions shall be seen as individual projects with their own team, pipeline and lifetime Middleware and internal communication

40. Understand how to connect multiple microservices or functions to fulfil a business requirement Each service or collection of functions shall be seen as individual projects with their own team, pipeline and lifetime Middleware and internal communication

41. To sum up

42. s|f divide partitioning replicate/local redundancy sync data consistency Cost control tools Code sharing versioning Process teams Select interface, middleware and channel

43.

44. Thank you! @RaduVunvulea vunvulearadu.blogspot.com https://www.linkedin.com/in/raduvunvulea/ vunvulear@outlook.com

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