Operations | Monitoring | ITSM | DevOps | Cloud

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Top 10 Ways to Reduce IT Cost Through Observability

Today, almost every other business is using cloud-native technologies and practices to grow business and increase revenue. No doubt, the modern cloud computing approach offers several opportunities for businesses to grow but it is also creating a new set of challenges. As per a report, SaaS companies spend almost 19% of their total revenue on IT. If not handled these challenges properly, it will erode the anticipated advantages. In fact, many businesses are under high pressure to reduce their IT costs.

Azure Cost Management - Generating Cost Scopes

In this video, Michael Stephenson demonstrates how to generate Cost Scopes in Azure Cost Management to democratize the management of cost data. With this feature, engineers and operations teams can manage the costs they incur through the applications they develop. He also shows how to create a Cost Scope manually and generate a tree view based on a deployment-focused view. Learn how to view cost from different dimensions using Cost in Context and generate a tree view based on a tag.

Dual ship logs with Datadog Observability Pipelines

Organizations often adjust their logging strategy to meet their changing observability needs for use cases such as security, auditing, log management, and long-term storage. This process involves trialing and eventually migrating to new solutions without disrupting existing workflows. However, configuring and maintaining multiple log pipelines can be complex. Enabling new solutions across your infrastructure and migrating everyone to a shared platform requires significant time and engineering effort.

Aggregate, process, and route logs easily with Datadog Observability Pipelines

The volume of logs generated from modern environments can overwhelm teams, making it difficult to manage, process, and derive measurable value from them. As organizations seek to manage this influx of data with log management systems, SIEM providers, or storage solutions, they can inadvertently become locked into vendor ecosystems, face substantial network costs and processing fees, and run the risk of sensitive data leakage.

Control your log volumes with Datadog Observability Pipelines

Modern organizations face a challenge in handling the massive volumes of log data—often scaling to terabytes—that they generate across their environments every day. Teams rely on this data to help them identify, diagnose, and resolve issues more quickly, but how and where should they store logs to best suit this purpose? For many organizations, the immediate answer is to consolidate all logs remotely in higher-cost indexed storage to ready them for searching and analysis.

Secure Connections with Environment-Level VPNs

At Cycle, we've taken a distinctive approach to VPN services, integrating them at the environment level of our platform. In a landscape where complexity can escalate quickly, anchoring each VPN to an environment–a VPC spanning the nodes of a cluster– simplifies management and maintains a high level of isolation.