Evolven has introduced a new Software-as-a-Service (SaaS) based Change Monitoring service, to redefine change and configuration management for the modern data center and cloud.
Evolven’s Change Monitoring solution monitors, analyzes and delivers actionable information on changes and configurations. This service empowers IT operations to reduce the risk of change and improve stability. It was designed from the ground up to deal with the complexity and dynamics of the modern data center and cloud environments.
“Evolven’s Change Monitoring solution was specifically designed to meet the demanding dynamics and complexity requirements driving today’s IT environments," says Sasha Gilenson, CEO of Evolven. "It will allow IT operations to know exactly what has changed in their environments, eliminate configuration drift, maintain environment consistency, validate changes, and investigate incident root-cause.”
A recent survey found that of IT professionals, 69% held that their current configuration management approach was ineffective for running modern data centers and cloud.
"These reactions emphasize the hurdles that stand in the way of achieving effective Change and Configuration Management," Gilenson adds, “Existing change and configuration tools are too rigid and limited for collecting and analyzing comprehensive environment configuration information, especially at a granular level of detail.”
Evolven’s SaaS-based solution provides results in minutes, dynamically crawling (with no upfront setup) and collecting comprehensive environment configuration information (at a granular level), applying powerful analytics to identify the critical changes posing risk, and translating this into critical decision-support information. Evolven customers enjoy clear visibility into all infrastructure changes and can identify potential problems long before they escalate into incidents, reducing the risk of production outages and supporting top performing operations.
The Latest
A new study by the IBM Institute for Business Value reveals that enterprises are expected to significantly scale AI-enabled workflows, many driven by agentic AI, relying on them for improved decision making and automation. The AI Projects to Profits study revealed that respondents expect AI-enabled workflows to grow from 3% today to 25% by the end of 2025. With 70% of surveyed executives indicating that agentic AI is important to their organization's future, the research suggests that many organizations are actively encouraging experimentation ...
Respondents predict that agentic AI will play an increasingly prominent role in their interactions with technology vendors over the coming years and are positive about the benefits it will bring, according to The Race to an Agentic Future: How Agentic AI Will Transform Customer Experience, a report from Cisco ...
A new wave of tariffs, some exceeding 100%, is sending shockwaves across the technology industry. Enterprises are grappling with sudden, dramatic cost increases that threaten to disrupt carefully planned budgets, sourcing strategies, and deployment plans. For CIOs and CTOs, this isn't just an economic setback; it's a wake-up call. The era of predictable cloud pricing and stable global supply chains is over ...
As artificial intelligence (AI) adoption gains momentum, network readiness is emerging as a critical success factor. AI workloads generate unpredictable bursts of traffic, demanding high-speed connectivity that is low latency and lossless. AI adoption will require upgrades and optimizations in data center networks and wide-area networks (WANs). This is prompting enterprise IT teams to rethink, re-architect, and upgrade their data center and WANs to support AI-driven operations ...
Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...
Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...
Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...
Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...
As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...
Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...