Data Stack Summit announced Pepperdata will return as the event’s Co-Chair, alongside Solution Monday, for their second annual, peer-to-peer focused summit on April 19, 2023.
This year, attendees are invited to rethink the modern data stack, delving into the latest best practices for building, scaling, and optimizing a modern data stack, including open-source solutions, the role of Kubernetes, and the integration of FinOps for cost and performance optimization.
Pepperdata’s industry experience as the leading platform for cost optimization of big data and Kubernetes workloads allows for valuable insights alongside visionaries, digital and technology leaders, and decision makers from across the big data, cloud, Kubernetes, and FinOps communities.
Registration has officially opened at datastacksummit.com/#register, and those interested in presenting at the summit may submit their proposed presentations at datastacksummit.com/cfp until February 17th.
This year’s call for presentations aims to attract expert speakers to address a range of high-priority industry topics such as:
- Building multi-model data platforms
- Implementing real-world AI/ML infrastructure
- Deploying applications with Kubernetes and GitOps
- Instrumenting for application-aware observability
- Streamlining the migration of workloads to the cloud
- Reducing unexpected costs overruns of cloud operations
- Rise of platform engineering for efficient and reliable deployment of applications
- Adopting FinOps techniques for optimal cloud cost management
Last year’s Data Stack Summit saw over 2,500 attendees from all over the world come together for sessions led by top platform engineers, data and cloud architects, DataOps and DevOps practitioners, and data leaders from companies like Autodesk, T-Mobile, American Airlines, Capital One, Meta, NVIDIA, and Uber.
The Latest
APMdigest and leading IT research firm Enterprise Management Associates (EMA) are partnering to bring you the EMA-APMdigest Podcast, a new podcast focused on the latest technologies impacting IT Operations. In Episode 2 - Part 1 Pete Goldin, Editor and Publisher of APMdigest, discusses Network Observability with Shamus McGillicuddy, Vice President of Research, Network Infrastructure and Operations, at EMA ...
CIOs have stepped into the role of digital leader and strategic advisor, according to the 2023 Global CIO Survey from Logicalis ...
Synthetic monitoring is crucial to deploy code with confidence as catching bugs with E2E tests on staging is becoming increasingly difficult. It isn't trivial to provide realistic staging systems, especially because today's apps are intertwined with many third-party APIs ...
Recent EMA field research found that ServiceOps is either an active effort or a formal initiative in 78% of the organizations represented by a global panel of 400+ IT leaders. It is relatively early but gaining momentum across industries and organizations of all sizes globally ...
Managing availability and performance within SAP environments has long been a challenge for IT teams. But as IT environments grow more complex and dynamic, and the speed of innovation in almost every industry continues to accelerate, this situation is becoming a whole lot worse ...
Harnessing the power of network-derived intelligence and insights is critical in detecting today's increasingly sophisticated security threats across hybrid and multi-cloud infrastructure, according to a new research study from IDC ...
Recent research suggests that many organizations are paying for more software than they need. If organizations are looking to reduce IT spend, leaders should take a closer look at the tools being offered to employees, as not all software is essential ...
Organizations are challenged by tool sprawl and data source overload, according to the Grafana Labs Observability Survey 2023, with 52% of respondents reporting that their companies use 6 or more observability tools, including 11% that use 16 or more.
An array of tools purport to maintain availability — the trick is sorting through the noise to find the right one. Let us discuss why availability is so important and then unpack the ROI of deploying Artificial Intelligence for IT Operations (AIOps) during an economic downturn ...
Development teams so often find themselves rushing to get a release out on time. When it comes time for testing, the software works fine in the lab. But, when it's released, customers report a bunch of bugs. How does this happen? Why weren't the flaws found in QA? ...