Reliability 
CIO
SEPTEMBER 7, 2023
As a fintech company, the reliability of our products and services is critical to ensuring that Discover® Financial Services customers can access their money, credit, and accounts when they need to. Like many other companies, Discover has adopted a product-centric approach where the responsibility for reliability sits with the product teams.
DevOps.com
MARCH 31, 2023
Engineering for reliability is well understood by engineering leaders, less so by bosses demanding unreasonable uptime with minimal resources and immense feature pressure. Business leaders tend to waffle between ignoring reliability with a hand wave and freaking out after an outage.
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TechCrunch
OCTOBER 14, 2021
Reliable Robotics is aiming to solve that pesky needing-to-have-a-pilot-in-the-plane problem by, instead, putting the pilot on the ground when you need it, and leave the plane to find its destination on its own the rest of the time. Image Credits: Reliable Robotics. “We As so elegantly outlined in the 1980 Jim Abrahams movie !Airplane
InfoQ Culture Methods
FEBRUARY 6, 2024
Companies are now looking to grow and more effectively manage DevOps with platform engineering and site reliability engineering roles.
Advertiser: Data Robot
Whether it is the reliability of the supply chain, the accuracy of financial predictions, or the assurance of product availability, trust from customers, vendors, and suppliers is non-negotiable. Trust is an essential part of doing business.
Dzone - DevOps
JANUARY 19, 2024
In the dynamic world of online services, the concept of site reliability engineering (SRE) has risen as a pivotal discipline, ensuring that large-scale systems maintain their performance and reliability.
DevOps.com
OCTOBER 23, 2023
The challenge for every modern data team is to shift left data reliability as early as possible in the data journey to create optimized pipelines.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Join Travis Addair, CTO of Predibase, in this exclusive webinar to learn: How guardrails can be used to mitigate risks and enhance the safety and efficiency of LLMs, delving into specific techniques and advanced control mechanisms that enable developers to optimize model performance effectively Why implementing safeguards can significantly improve (..)
Speaker: Prem Chandrasekaran
A few years ago, Barclays embarked on a journey to migrate its legacy services to a modern tech stack with the objective of achieving a high level of scale, resilience, and reliability.
Speaker: Daniel "spoons" Spoonhower, CTO and Co-Founder at Lightstep
However, this increased velocity often comes at the cost of overall application performance or reliability. Worse, teams often don’t understand what’s affecting performance or reliability – or even who to ask to learn more. Hold teams accountable using service level objectives (SLOs).
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Hear from Product Managers across a variety of industries on what they see as most important for ensuring mobile reliability, and gain a better understanding of what it takes to build scalable and secure mobile apps.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. It’s no surprise given the non-deterministic nature of LLMs.
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Learn how Sharpen elevates their CX by arming agents with Deepgram's fast, accurate and reliable speech transcription to improve productivity in real-time. One of the most crucial tools for contact center solutions is automatic speech recognition (ASR).
Advertiser: Datadog
By modernizing and shifting legacy workloads to the cloud, organizations are able to improve the performance and reliability of their applications while reducing infrastructure cost and management.
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is a real-time approach to decision-making, enabled by integrated and reliable data. At its most basic definition, Industry 4.0 Industry 4.0 is built on the industrial Internet of Things (IIoT), which enables manufacturers to collect, analyze, and present real-time data and analytics in easy-to-understand and highly customizable formats.
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