TechCrunch
MAY 10, 2021
This morning ServiceNow announced that it was acquiring Lightstep , an applications performance monitoring startup that has raised more than $70 million, according to Crunchbase data. The companies did not share the acquisition price. “With Lightstep, ServiceNow will transform how software solutions are delivered to customers.
CIO
MARCH 25, 2024
The landscape of applications and their delivery has undergone a dramatic transformation. Applications are no longer standalone entities but are now intricate collections of services, APIs, and distributed applications across various cloud environments.
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DevOps.com
APRIL 5, 2024
Most IT teams regularly employ a range of tools to monitor application performance. But in an era where applications are running everywhere from the cloud to the network edge, the visibility being provided is limited.
Honeycomb
NOVEMBER 1, 2023
Innovative application observability for developers correlates code performance with granular cluster data for easier debugging and migrations. This new capability enables platform engineers running Kubernetes and the developers building on it to correlate granular application issues in production code with their infrastructure layer.
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.
DevOps.com
JANUARY 11, 2021
When done properly, software application performance testing determines if a system meets certain acceptable criteria for both responsiveness and robustness. The post Best Practices for Application Performance Testing appeared first on DevOps.com. Align […].
CIO
APRIL 27, 2023
Technical debt can be defined as the accumulation of legacy systems and applications that are difficult to maintain and support, as well as poorly written or hastily implemented code that increases risk over time. Employees may complain that the technology they use is cumbersome and time-consuming, ultimately hindering their job performance.
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.
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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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.
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: 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.
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).
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