Elastic, the company behind Elasticsearch®, announced a new three-year global strategic collaboration agreement (SCA) with Amazon Web Services (AWS) and achievement of the AWS Security Competency designation to make it easier for shared customers to advance their cloud adoption journey with Elastic Cloud on AWS.
“Dish Media deploys Elastic Cloud on AWS to help us find data-driven answers in real time—whether we’re using Elastic to query our entire body of corporate data or apply AI-based anomaly detection features to a wide variety of operational and business data,” said John Haskell, head of engineering, Dish Media. “By consolidating Dish Media’s observability and security data onto Elastic Cloud on AWS, we’ve been able to effectively optimize costs, reduce manual operational tasks, and ultimately bring more value to our partners and customers.”
Building on the companies’ success working with organizations such as Dish Media, the SCA includes:
- accelerating integrated go-to-market activities across sales and marketing, including marketing campaigns, guides and workshops, events and sponsorships, advertising placements
- technology integrations and commercial incentives to streamline the migration of on-premises workloads to Elastic Cloud on AWS
- global expansion of best practices from the Americas to accelerate worldwide growth
“Elastic has been a trusted AWS partner, and we’re thrilled to continue strengthening our established relationship and shared commitment to delivering a seamless user experience for Elastic Cloud on AWS,” said Chris Grusz, managing director, Technology Partnerships, AWS. “This collaboration further supports our shared customers’ global cloud adoption journey with easier access to Elastic Cloud on AWS and helps accelerate their digital transformation initiatives as they rely on Elastic and AWS to become more data-driven in the cloud.”
In addition, Elastic has achieved the AWS Security Competency designation by working with AWS to create an Elastic Cloud platform that simplifies how you collect, analyze, secure, and scale data across your AWS data sets. Attaining the AWS Security Competency differentiates Elastic as an AWS Partner Network (APN) member that provides deep technical expertise with security designed to help enterprises adopt, develop, and deploy complex security projects on AWS.
“Together with AWS, Elastic is committed to helping companies drive innovation, leverage cloud-optimized features, streamline data collection from AWS services, and modernize and migrate their existing environments,” said Ken Exner, chief product officer, Elastic. “As we continue to accelerate our cloud-first business strategy, the growth of our strategic collaboration agreement with AWS is crucial to helping our joint customers solve complex data challenges.”
The Latest
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...
AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.