Operations | Monitoring | ITSM | DevOps | Cloud

Organizations across a wide range of industries share a common goal: deploy stable applications that support their customers’ needs. Many of these organizations rely on the Datadog platform to get complete visibility into the health and performance of their applications, and we understand how important it is that our services are reliable. That’s why we leverage our own products to ensure that the platform works as expected.

We’ve integrated IsDown with PagerDuty so you can manage alerts in the same place you manage all your other alerts. The PagerDuty integration is part of our strategy to make it easy to monitor all the business dependencies that companies nowadays have. We live in a world where SaaS rules the world, and companies prefer to buy vs. build. But with that comes the problem of monitoring all these dependencies, which are critical to daily operations.

TL;DR: Dashbird launched observability for AWS AppSync. Additionally to AWS Lambda, SQS, DynamoDB, API Gateway, ECS, Kinesis, Step Functions, ELB, SNS, RDS, OpenSearch, and HTTP API Gateway you can now get detailed insights and metrics in the Dashbird app for AWS AppSync. Since Facebook released its previously internally used query language GraphQL in 2016, it has seen an outstanding increase in adoptions for all kinds of applications.

There is quite a wide range of solutions offered by monitoring as a service to any company, from performing any analysis to detect the root cause of the issue to determining the path of the failure. Here goes…

Remove any bottlenecks to your network deployments with continuous, end-to-end modern network monitoring software. Modern network architectures like SD-WAN have emerged as game-changing solutions that provide a mechanism for improving traffic management, deployments, and automation.

If you were pulled into a meeting right now and asked to give your thoughts on how to achieve better outcomes with monitoring and observability, what would you recommend? Would you default to suggesting that your team improve Mean Time To Detect (MTTD)? Sure, you might make some improvements in that area, but it turns out that most of the opportunities lie in what comes after your system detects an issue. Let’s examine how to measure improvements in monitoring and observability.

For smart cities of the future, monitoring infrastructure metrics like fuel and water levels is vital to optimizing operations. Fuelics PC designs and deploys battery-operated narrowband IoT (NB-IoT) sensors that monitor fuel, water, waste, and even parking capacity at the edge, then transmit that data to the cloud for easy viewing and monitoring.