Operations | Monitoring | ITSM | DevOps | Cloud

Even before COVID-19 forced nearly everyone to grapple with virtual work, most organizations had mountains of content scattered across numerous teams and dozens, if not hundreds, of apps. But now new research shows the cost of poor employee experiences for organizations: productivity, confidence, and opportunity.

Kubernetes is an open source container orchestration system for automating computer application deployment, scaling, and management, and seems to have established itself as the de facto standard in this area these days. The shift from monolithic applications to microservices brought by Kubernetes has enabled faster deployment, where dynamic environments become commonplace. But on the other hand, this has made monitoring applications and their underpinning infrastructure more complex.

Ensure data quality in your S3 data lake using Python, AWS Lambda, SNS, and Great Expectations. Data lakes used to have a bad reputation when it comes to data quality. In contrast to data warehouses, data doesn’t need to adhere to any predefined schema before we can load it in. Without proper testing and governance, your data lake can easily turn into a data swamp.

You may have seen the announcement that Splunk and McLaren Racing have expanded their partnership, which sees Splunk as an Official Global Partner of the McLaren Shadow Esports team and the Logitech McLaren G Challenge. As a budding Esports fan and data enthusiast, it’s really exciting to see these two worlds collaborate and accelerate the virtual racing experience.

Many organizations today are migrating from on-prem solutions for email / calendar / communications to Microsoft 365. If this is you, this is your productivity cloud across work and life, designed to help you achieve more with innovative Office apps, intelligent cloud services, and world-class security.

We all know that faster is better. Research and results clearly indicate that faster experiences with fewer errors result in increased usage, conversion, and revenue. With the desire to improve business metrics in mind, organizations often seek immediate improvements in customer experience across digital properties. However, without proper planning and coordination, these attempts consistently fail.

People often conflate monitoring and observability, and I can’t blame them. Marketers often use the terms interchangeably. However, monitoring and observability are two fundamentally different but related things. Understanding the differences between the two both technically and intuitively can help you become a better network troubleshooter, architect, and manager. After all, like many buzzwords before it, observability is an important concept if you can get past the fluff.

Security and IT teams may be loathe to admit it, but security has historically been mostly a reactive affair. Security engineers monitored for threats and responded when they detected one. They may have also taken steps to harden their systems against breaches, but they didn’t proactively fight the threats themselves. That is changing as more and more teams add threat hunting as one pillar of their cybersecurity strategies.

London, UK, June 29, 2021 – Despite high adoption rates of cloud native technologies in recent years, enterprises have yet to cross the chasm to full adoption, but they’re quickly moving in that direction, according to initial results of a first-of-its kind survey released today by Canonical, the publishers of Ubuntu.

So you’re using InfluxDB Cloud, and you’re writing millions of metrics to your account. Whether you’re building an IoT application on top of InfluxDB or monitoring your production environment with InfluxDB, your time series operations are finally running smoothly. You want to keep it that way. You might be a Free Plan Cloud user or a Usage-Based Plan user, but either way, you need visibility into your instance size to manage resources and costs.