Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Log Management, Log Analytics and related technologies.

Monitoring Machine Learning Models Built in Amazon SageMaker

Many data science discussions focus on model development. But as any data scientist will tell you, this is only a small—and often relatively quick—part of the data science pipeline. An important, but often overlooked, component of model stewardship is monitoring models once they’ve been released to the wild. Here we’ll aim to convince any unbelievers that monitoring deployed models is as important as any other task in the data science workflow.

The Complete Guide to Azure Monitoring

Monitoring an Azure environment can be a challenging task for even the most experienced and skilled team. Applications deployed on Azure are built on top of an architecture that is distributed and extremely dynamic. But all is not doom and gloom. Azure users have a variety of tools they can use to overcome the different challenges involved in monitoring their stack, helping them gain insight into the different components of their apps and troubleshoot issues when they occur.

Miles Ahead in the Cloud - Using Sumo Logic for security and compliance challenges

Digital innovation and transformation are critical strategies in keeping pace with competitors and customer needs in today's rapidly changing environment. Many organizations are moving to the cloud to take advantage of the operational and financial gains available in this new environment. But these organizations are also quickly learning that their legacy security and compliance tools, including their SIEMs, are not able to provide the insights they need.

Using machine data analytics to provide the best customer experience - Don't fly blind

Running a modern application in the cloud is a complex task which requires clear, real-time visibility across your entire application stack and infrastructure. With SumoLogic you can fix problems before they negatively affect your customers' experience and make sure your application is running at peak performance.

Updating Your LogDNA AWS CloudWatch Integration

AWS CloudWatch Logs gives you full visibility into your AWS infrastructure, from individual workloads to the services that bind them. Monitoring these logs helps ensure their smooth and continued operation, ongoing stability, and performance. Integrating CloudWatch Logs with LogDNA makes it easier to parse, search, and analyze AWS logs in order to detect anomalies and troubleshoot problems faster.

Logs monitoring

Logs Monitoring plays an important role in analyzing, troubleshooting and alerting on problems. Organizations have lots of data in logs that should be mined to get valuable insights on users, applications and systems behavior. Real time alerting from logs monitoring does help in identifying the problems early. It also provides security related insights when someone is trying to break into your organization.

How Big Data and Log management work hand in hand

As Stephen Marsland once said, “if data had mass, the earth would be a black hole.” A vast part of the immense amount of structured and unstructured data that we call “Big Data” is nothing but machine-originated log data. Logs are generated for a lot of different purposes – from security to debugging and troubleshooting. They constitute a gold mine of useful information and actionable insights if properly stored, managed, and analyzed.