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How to migrate from self-managed Elasticsearch to Elastic Cloud on AWS

Increasingly, we are seeing on-prem workloads being moved onto the cloud. Elasticsearch has been around for many years with our users and customers typically managing it themselves on-prem. Elasticsearch Service on Elastic Cloud — our managed Elasticsearch service that runs on Amazon Web Services (AWS), Google Cloud, and Microsoft Azure across many different regions, is the best way to consume the Elastic Stack and our solutions for enterprise search, observability, and security.

Stop Enforcing Security Standards. Start Implementing Policies.

In days gone by, highly regulated industries like pharmaceuticals and finance were the biggest targets for nefarious cyber actors, due to the financial resources at banks and drug companies’ disposal – their respective security standards were indicative of this. Verizon reports in 2020 that, whilst banks and pharma companies account for 25% of major data breaches, big tech, and supply chain are increasingly at risk.

Is CloudWatch Really Cost Efficient?

One of the keys to CloudWatch’s success is its no bang, no buck billing system. The pricing structure has been designed from the outset to ensure that CloudWatch users only pay for what they actually use. In addition, the CloudWatch Free Tier allows first time users to test the waters without shelling out. The downside of this flexibility and adaptability is complexity.

Scale Your Prometheus Metrics Indefinitely with Thanos

Prometheus metrics are an essential part of your observability stack. Observability comes hand in hand with monitoring, and is covered extensively here in this Essential Observability Techniques article. A well-monitored application with flexible logging frameworks can pay enormous dividends over a long period of sustained growth, but Prometheus has a problem when it comes to scale.

Looking Back on 2020: A Timeline of Product Innovation

2020 might be a year many of us want to forget, but this year, we also unveiled a variety of new products and features worth remembering. For the Logz.io team, 2020 was a year full of innovation as we worked to continuously improve our product and complete our unified observability vision. We also launched a variety of new capabilities for Logz.io Log Management, Infrastructure Monitoring, Cloud SIEM, and Distributed Tracing, that make our product faster, smarter, and more cost-efficient.

Loki 2020 year in review

What a year 2020 has been for Grafana Loki! Just a little more than a year ago, we announced Loki’s 1.0.0 GA release. We’re excited to report that 2020 brought a big uptick in its adoption (users have quickly realized the advantages of a small index—plus, Loki has non-technical advantages, too); significant performance enhancements; and the recent release of Loki 2.0.