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Elastic Expands Collaboration with AWS

Elastic announced an expansion to its collaboration with Amazon Web Services (AWS).

The two companies are building on momentum and will work together to build, market, and deliver seamless access to Elastic Cloud on AWS while leveraging AWS’s global footprint and breadth of services.

Areas of collaboration include expanding competencies to ease migration to Elastic Cloud on AWS, simplifying onboarding to Elastic Cloud on AWS and streamlining data ingestion, and new go-to-market initiatives.

As an AWS Partner, Elastic has been certified as an AWS ISV Workload Migration Program (WMP) Partner to support the migration of customers to Elastic Cloud on AWS. In addition, Elastic has earned multiple AWS validated qualifications that demonstrate a high level of specialization, AWS technical expertise, and proven customer success.

Elastic’s growing number of AWS competencies and validated qualifications include:

- AWS Data & Analytics ISV Competency

- AWS PrivateLink Ready Product Validation

- AWS Public Sector Partner

- AWS Graviton Ready Product Validation

As recently announced, a simplified Elastic Cloud on AWS onboarding experience now offers customers faster time to value with Elastic. Elastic will focus on delivering an enhanced integration for account creation and setup that reduces the initial setup time for Elastic Cloud on AWS from hours to minutes.

As part of a pre-existing technical collaboration driven by customer demand, the companies have already completed more than 20 integrations to streamline data ingestion into Elastic Cloud on AWS. This development work includes integrations with AWS FireLens, Amazon S3 Storage Lens, AWS WAF, and AWS Network Firewall, along with the Elastic serverless forwarder, which is available via the AWS Serverless Application Repository. Elastic will continue to build on AWS to enable customers to seamlessly ingest AWS logs, metrics, and events into Elastic Cloud on AWS quickly to deliver results that matter.

As part of the expanded collaboration between Elastic and AWS, the two companies will also invest in joint go-to-market initiatives, including a free 7-day trial through the AWS Marketplace, and Elastic offering competitive pricing for its products listed on AWS Marketplace, which provides even greater value to customers.

AWS has committed to working with Elastic to drive new business and accelerate sales cycles through the AWS sales organization. AWS is providing Elastic co-selling support for Elastic Cloud with AWS field sales teams globally and a mutual commitment to customer success from AWS and Elastic as a result of Elastic being in the AWS ISV Accelerate program.

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Elastic Expands Collaboration with AWS

Elastic announced an expansion to its collaboration with Amazon Web Services (AWS).

The two companies are building on momentum and will work together to build, market, and deliver seamless access to Elastic Cloud on AWS while leveraging AWS’s global footprint and breadth of services.

Areas of collaboration include expanding competencies to ease migration to Elastic Cloud on AWS, simplifying onboarding to Elastic Cloud on AWS and streamlining data ingestion, and new go-to-market initiatives.

As an AWS Partner, Elastic has been certified as an AWS ISV Workload Migration Program (WMP) Partner to support the migration of customers to Elastic Cloud on AWS. In addition, Elastic has earned multiple AWS validated qualifications that demonstrate a high level of specialization, AWS technical expertise, and proven customer success.

Elastic’s growing number of AWS competencies and validated qualifications include:

- AWS Data & Analytics ISV Competency

- AWS PrivateLink Ready Product Validation

- AWS Public Sector Partner

- AWS Graviton Ready Product Validation

As recently announced, a simplified Elastic Cloud on AWS onboarding experience now offers customers faster time to value with Elastic. Elastic will focus on delivering an enhanced integration for account creation and setup that reduces the initial setup time for Elastic Cloud on AWS from hours to minutes.

As part of a pre-existing technical collaboration driven by customer demand, the companies have already completed more than 20 integrations to streamline data ingestion into Elastic Cloud on AWS. This development work includes integrations with AWS FireLens, Amazon S3 Storage Lens, AWS WAF, and AWS Network Firewall, along with the Elastic serverless forwarder, which is available via the AWS Serverless Application Repository. Elastic will continue to build on AWS to enable customers to seamlessly ingest AWS logs, metrics, and events into Elastic Cloud on AWS quickly to deliver results that matter.

As part of the expanded collaboration between Elastic and AWS, the two companies will also invest in joint go-to-market initiatives, including a free 7-day trial through the AWS Marketplace, and Elastic offering competitive pricing for its products listed on AWS Marketplace, which provides even greater value to customers.

AWS has committed to working with Elastic to drive new business and accelerate sales cycles through the AWS sales organization. AWS is providing Elastic co-selling support for Elastic Cloud with AWS field sales teams globally and a mutual commitment to customer success from AWS and Elastic as a result of Elastic being in the AWS ISV Accelerate program.

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In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...