Focus on Observability

Featured Article

Observing Your Memory and CPU Usage Can Lead to Big Savings

To help you achieve the lowest compute cost, there are dozens of instance types, along with dozens of resource options, so you can tailor the instance to the needs of your workload. But if the resource requirements of your workload vary during runtime, your compute won’t fit like a glove because you must select a more expensive instance to support peak usage, even if peak usage is for a very short period.

What it looks like when you can save

Shown below are 2 graphs showing CPU utilization. In each case, it’s necessary to configure a compute instance for peak usage….until now. A new WaveRider service allows your workload to surf from lower cost smaller instances to larger instances, and back, during runtime. The savings can be dramatic.

How you can see a profile of your workload usage

WaveWatcher is a lite version of Memory Machine Cloud Edition that’s free. It includes the ability to automate deployment of workloads in AWS and to profile your CPU and memory usage as shown below. Contact [email protected] if you want WaveWatcher to profile your workload.

Recent News about ramping up in the cloud

VentureBeat: Why cloud observability will be critical in 2023

However, despite the cloud’s potential to enhance the resiliency of businesses in a hybrid work environment, most companies still have a significant gap in their cloud infrastructure regarding observability. Read article.

Datanami: Observability Primed for a Breakout 2023

In 2023, companies will continue to invest in upgrading their IT systems via legacy modernization, cloud-native adoption, and the embrace big data, analytics, and AI. It doesn’t take a soothsayer to know this. What’s much less certain is the ability of companies to keep on top of all the growing technical complexity, which is a role that observability will be asked to fill. Read the article.

Observability trends and challenges in 2023

Hear from Corneile Britz, Observability and DevOps Specialist and Co-Founder of Boxfish his Observability predictions for next year. Speakers: Jag Dhillon, Grafana, Solutions Engineer (APAC), Corneile Britz, Boxfish, Co-Founder and Observability Devops Specialist.?Watch the video.

Splunk Observability and IT Predictions 2023

ITOps, with the power of observability, provides resilience, drives innovation and defines customer experience. Get our experts’ predictions for key trends in the new year. Download the report.

Beyond Monitoring: The Rise of Data Observability

"Why did our dashboard break?" "What happened to my data?" "Why is this column missing?" If you've been on the receiving end of these messages (and many others!) from downstream stakeholders, you're not alone. Data engineering teams spend 40 percent or more of their time tackling data downtime, or periods of time when data is missing, erroneous, or otherwise inaccurate, and as data systems become increasingly complex and distributed, this number will only increase. To address this problem, data observability is becoming an increasingly important part of the cloud data stack, helping engineers and analysts reduce time to detection and resolution for data incidents caused by faulty data, code, and operational environments. But what does data observability actually look like in practice? During this presentation, Barr Moses, CEO and co-founder of Monte Carlo, will present on how some of today's best data leaders implement observability across their data lake ecosystem and share best practices for data teams seeking to achieve end-to-end visibility into their data at scale. Topics addressed will include: building automated lineage for Apache Spark, applying data reliability workflows, and extending beyond testing and monitoring to solve for unknown unknowns in your data pipelines. Watch the video.

Case Study: Ensuring Cloud Reliability with Infrastructure Monitoring

How an MSP Migrates and Supports Customer Infrastructure with Datadog and AWS. Read case study.

Case Study: How AgriTech used IoT and Grafana to help industrial hemp farmers hit a new production high

That personal project quickly grew into AgriTech, Mann’s Virginia-based agricultural tech consulting company. The company uses sensor data analytics, AI, IoT, and Grafana to help farmers improve their crop health, maximize their yield (and resulting profits), cut costs, and offset their CO2 emissions. Read case study