Hacker Earth Developers Blog
SEPTEMBER 27, 2024
A high-performance team thrives by fostering trust, encouraging open communication, and setting clear goals for all members to work towards. Effective team performance is further enhanced when you align team members’ roles with their strengths and foster a prosocial purpose.
CIO
MARCH 11, 2025
Usability in application design has historically meant delivering an intuitive interface design that makes it easy for targeted users to navigate and work effectively with a system. Meanwhile, customers were flooding into our branches to perform transactions, but our tellers couldnt help them because the system was down.
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AWS Machine Learning - AI
APRIL 9, 2025
Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. Although an individual LLM can be highly capable, it might not optimally address a wide range of use cases or meet diverse performance requirements. In this post, we provide an overview of common multi-LLM applications.
Palo Alto Networks
NOVEMBER 12, 2024
They need to ensure users can access business applications without delay or disruption. But, modern applications, built with microservices, rely on multiple interdependent systems, where a single click on a webpage can load hundreds of objects. They ensure seamless user and application experiences across diverse network deployments.
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.
AWS Machine Learning - AI
OCTOBER 29, 2024
Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. In this post, we set up the custom solution for observability and evaluation of Amazon Bedrock applications.
DevOps.com
OCTOBER 29, 2024
Instabug today revealed it has added an ability to both analyze mobile application crash report data and source code, to better pinpoint the root cause of issues accurately, which it then feeds into a proprietary generative artificial intelligence (AI) platform, dubbed SmartResolve, that automatically generates the code needed to resolve it.
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Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. Download the whitepaper to see the 7 most common approaches to building a high-performance data architecture for embedded analytics. 9 questions to ask yourself when planning your ideal architecture.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
Speaker: Sriram Parthasarathy, Senior Director of Predictive Analytics, Logi Analytics
Applications with predictive analytics are able to deliver massive value to end users. But what steps should product managers take to add predictive analytics to their applications? In this webinar, we’ll walk through an end-to-end lifecycle of embedding predictive analytics inside an application.
Advertiser: Datadog
In this new product brief from Datadog, you’ll learn how Datadog Serverless Monitoring enables you to visualize your services and their dependencies, gain actionable insights into how the performance of your serverless applications impacts your customers, and tips to monitor the health of your applications in a serverless environment.
Speaker: Nico Krüger, Senior Director of Solutions Engineering at Rollbar
Do you have strategies to both identify problems and improve performance? DevOps Research and Assessment (DORA) has identified four key metrics to help organizations understand where their DevOps stands and how it can reach an elite level of performance.
Speaker: Tolga Tarhan, Senior Vice President, GM AWS Services at Onica
Of course, the key as a senior leader is to understand what your organization needs, your application requirements, and to make choices that leverage the benefits of the right approach that fits the situation. How to make the right architectural choices given particular application patterns and risks.
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).
Speaker: Robert Starmer, Cloud Advisor, Founding Partner at Kumulus Technologies
Moving to micro-services, or even working with distributed applications in a traditional environment, brings with it a host of interactions that are often difficult to understand. Trace Data - Visualizing application traces to understand application interactions. Istio - Service mesh with added benefits. January 31 2019 11.00
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